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ORCIDCoRR, July 2018
- Eun-Young Kang
, Dongrui Mu, Li Huang:
Probabilistic Analysis of Weakly-Hard Real-Time Systems. - Serhiy O. Semerikov, Illia O. Teplytskyi, Yuliia V. Yechkalo:
Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. - Hanshen Xiao, Guoqiang Xiao:
On Solving Ambiguity Resolution with Robust Chinese Remainder Theorem for Multiple Numbers. - Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You:
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. - Matthew P. Johnson:
Deciding the Closure of Inconsistent Rooted Triples is NP-Complete. - Vuong M. Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
An Efficient Data Warehouse for Crop Yield Prediction. - Julián Vicens, Josep Perelló, Jordi Duch:
Citizen Social Lab: A digital platform for human behaviour experimentation within a citizen science framework. - Jelena Milosevic, Dexmont Peña, Andrew Forembsky, David Moloney, Miroslaw Malek:
It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems. - Matt Luckcuck, Marie Farrell, Louise A. Dennis, Clare Dixon, Michael Fisher:
Formal Specification and Verification of Autonomous Robotic Systems: A Survey. - Anand Venkatesan, Atishay Jain, Rakesh Grewal:
AI in Game Playing: Sokoban Solver. - Sanja Krakan, Luka Humski, Zoran Skocir:
Determination of Friendship Intensity between Online Social Network Users Based on Their Interaction. - Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy:
Adversarial Examples in Deep Learning: Characterization and Divergence. - Kai Wan, Daniela Tuninetti, Mingyue Ji, Pablo Piantanida:
Fundamental Limits of Distributed Data Shuffling. - Pushpak Jagtap, Sadegh Soudjani, Majid Zamani:
Temporal Logic Verification of Stochastic Systems Using Barrier Certificates. - Alan Jeffrey:
Josephine: Using JavaScript to safely manage the lifetimes of Rust data. - Nadine Kroher, Aggelos Pikrakis:
Exploratory Analysis of a Large Flamenco Corpus using an Ensemble of Convolutional Neural Networks as a Structural Annotation Backend. - Emery D. Berger, Stephen M. Blackburn, Carla E. Brodley, H. V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Lexing Xie:
GOTO Rankings Considered Helpful. - Joo-Kyung Kim, Young-Bum Kim:
Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates. - Ralf-Peter Mundani, Jérôme Frisch, Vasco Varduhn, Ernst Rank:
A sliding window technique for interactive high-performance computing scenarios. - Braden Hancock, Hongrae Lee, Cong Yu:
Title Generation for Web Tables. - Forrest Sheldon, Pietro Cicotti, Fabio L. Traversa, Massimiliano Di Ventra:
Stress-testing memcomputing on hard combinatorial optimization problems. - Tianyuan Sun, Yongcai Wang, Deying Li, Wenping Chen, Zhaoquan Gu:
Robust Component-based Network Localization with Noisy Range Measurements. - Piotr Indyk, Tal Wagner:
Approximate Nearest Neighbors in Limited Space. - Junyeong Seo, Youngchul Sung, Hamid Jafarkhani:
A High-Diversity Transceiver Design for K-User MISO Broadcast Channels. - Yong Liu, Ruiping Wang, Shiguang Shan, Xilin Chen:
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships. - Koji M. Kobayashi:
An optimal algorithm for 2-bounded delay buffer management with lookahead. - Sanaz Bahargam, Evangelos E. Papalexakis:
A Constrained Coupled Matrix-Tensor Factorization for Learning Time-evolving and Emerging Topics. - Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Modeling Mistrust in End-of-Life Care. - Abigail Paradise, Dvir Cohen, Asaf Shabtai, Rami Puzis:
Generation of Automatic and Realistic Artificial Profiles. - Jason Ramapuram, Russ Webb:
A New Benchmark and Progress Toward Improved Weakly Supervised Learning. - Andrei-Alexandru Agape, Madalin Claudiu Danceanu, René Rydhof Hansen, Stefan Schmid:
Charting the Security Landscape of Programmable Dataplanes. - Sharath Adavanne, Archontis Politis, Joonas Nikunen, Tuomas Virtanen:
Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks. - Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola:
Game-Theoretic Interpretability for Temporal Modeling. - Kannan Balakrishnan, Divya Sindhu Lekha:
Generalized Vertex Transitivity in Graphs. - Paola Giannini, Marco Servetto, Elena Zucca, James Cone:
Flexible recovery of uniqueness and immutability (Extended Version). - Chun-Hung Cheng, Iyiola E. Olatunji:
Harnessing constrained resources in service industry via video analytics. - Li Liu, Jiasong Wu, Dengwang Li, Lotfi Senhadji, Huazhong Shu:
Fractional Wavelet Scattering Network and Applications. - Jérôme Frisch, Ralf-Peter Mundani:
Measuring and comparing the scaling behaviour of a high-performance CFD code on different supercomputing infrastructures. - Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang:
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria. - Nevena Perovic, Jérôme Frisch, Ralf-Peter Mundani, Ernst Rank:
Interactive data exploration for high-performance fluid flow computations through porous media. - Cyril Grunspan, Ricardo Pérez-Marco:
Ant routing algorithm for the Lightning Network. - Cristina Conati, Kaska Porayska-Pomsta, Manolis Mavrikis:
AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling. - Artur Poplawski:
Self-consistency of voting implies majority vote. - Ted Underwood:
The Historical Significance of Textual Distances. - Yuanliang Chen, Yu Jiang, Jie Liang, Mingzhe Wang, Xun Jiao:
EnFuzz: From Ensemble Learning to Ensemble Fuzzing. - S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman:
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization. - Pedro A. Ortega, Shane Legg:
Modeling Friends and Foes. - Christina Wadsworth, Francesca Vera, Chris Piech:
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction. - Yu Liu, Guanlong Zhao, Boyuan Gong, Yang Li, Ritu Raj, Niraj Goel, Satya Kesav, Sandeep Gottimukkala, Zhangyang Wang, Wenqi Ren, Dacheng Tao:
Improved Techniques for Learning to Dehaze and Beyond: A Collective Study. - Ibrahim Numanagic, Alim S. Gökkaya, Lillian Zhang, Bonnie Berger, Can Alkan, Faraz Hach:
Fast Characterization of Segmental Duplications in Genome Assemblies. - Elahe Rezaei, Hafez Eslami Manoochehri, Babak Hossein Khalaj:
Multi-agent Learning for Cooperative Large-scale Caching Networks. - Luka Humski, Damir Pintar, Mihaela Vranic:
Exploratory Analysis of Pairwise Interactions in Online Social Networks. - Serhiy O. Semerikov, Vladyslav S. Pototskyi, Kateryna I. Slovak, Svitlana M. Hryshchenko:
Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. - Kamel Abdelouahab, François Berry, Maxime Pelcat:
The Challenge of Multi-Operand Adders in CNNs on FPGAs: How not to solve it! - Nitish Mital, Katina Kralevska, Deniz Gündüz, Cong Ling:
Storage-Repair Bandwidth Trade-off for Wireless Caching with Partial Failure and Broadcast Repair. - Farshid Alambeigi, Mahsan Bakhtiarinejad, Armina Azizi, Rachel Hegeman, Iulian Iordachita, Harpal Khanuja, Mehran Armand:
Inroads Toward Robot-Assisted Internal Fixation of Bone Fractures Using a Bendable Medical Screw and the Curved Drilling Technique. - Yunpu Ma, Volker Tresp, Erik A. Daxberger:
Embedding Models for Episodic Memory. - Bruno Korbar, Du Tran, Lorenzo Torresani:
Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization. - Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi:
A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems. - Hayoung Choi, Hosoo Lee, Yifei Shen, Yuanming Shi:
Comparing large-scale graphs based on quantum probability theory. - Chaojing Duan, Siheng Chen, Jelena Kovacevic:
Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes. - Jochen L. Leidner:
Information Retrieval in the Cloud. - Dongdong Jiang, Ying Cui:
Analysis and Optimization of Caching and Multicasting for Multi-Quality Videos in Large-Scale Wireless Networks. - Volodymyr Kuleshov, Nathan Fenner, Stefano Ermon:
Accurate Uncertainties for Deep Learning Using Calibrated Regression. - Raghav Gupta, Abhinav Rastogi, Dilek Hakkani-Tür:
An Efficient Approach to Encoding Context for Spoken Language Understanding. - Michael Honke, Rahul Iyer, Dishant Mittal:
Photorealistic Style Transfer for Videos. - Fangchang Ma, Guilherme Venturelli Cavalheiro, Sertac Karaman:
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera. - Andrii Striuk, Maryna Rassovytska, Svitlana V. Shokaliuk:
Using Blippar Augmented Reality Browser in the Practical Training of Mechanical Engineers. - Shahriar Sefati, Ryan J. Murphy, Farshid Alambeigi, Michael Pozin, Iulian Iordachita, Russell H. Taylor, Mehran Armand:
FBG-Based Control of a Continuum Manipulator Interacting With Obstacles. - Benteng Ma, Yong Xia:
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification. - Manuel Mager, Elisabeth Mager, Alfonso Medina Urrea, Iván Meza, Katharina Kann:
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages. - Weinan E, Qingcan Wang:
Exponential Convergence of the Deep Neural Network Approximation for Analytic Functions. - Junping Wang, Wensheng Zhang, Ian Thomas, Shihui Duan, Youkang Shi:
Multi-Task Generative Adversarial Nets with Shared Memory for Cross-Domain Coordination Control. - Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip Heng Wai Leong:
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks. - Vinicius Woloszyn, Guilherme Medeiros Machado, Leandro Krug Wives, José Palazzo Moreira de Oliveira:
Modeling, comprehending and summarizing textual content by graphs. - Daniel Lehmann:
Local Equilibria. - Milan Broz, Mikulás Patocka, Vashek Matyas:
Practical Cryptographic Data Integrity Protection with Full Disk Encryption Extended Version. - Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. - Christoph Ertl, Ralf-Peter Mundani, Ernst Rank:
Ensuring domain consistency in an adaptive framework with distributed topology for fluid flow simulations. - Maryna Rassovytska, Andrii Striuk:
Mechanical Engineers Training in Using Cloud and Mobile Services in Professional Activity. - Andrii Striuk:
Using Elements Of Semantic Parsing In E-Learning Environments. - Georgios Amanatidis, George Christodoulou, John Fearnley, Evangelos Markakis, Christos-Alexandros Psomas, Eftychia Vakaliou:
An Improved Envy-Free Cake Cutting Protocol for Four Agents. - Mohammad Mahdi Tajiki, Mohammad Shojafar, Behzad Akbari, Stefano Salsano, Mauro Conti, Mukesh Singhal:
Joint Failure Recovery, Fault Prevention, and Energy-efficient Resource Management for Real-time SFC in Fog-supported SDN. - Dan Li, Deli Qiao, Lei Zhang, Geoffrey Ye Li:
Performance Analysis of Indoor THz Communications with One-Bit Precoding. - Michael Blondin, Javier Esparza, Antonín Kucera:
Automatic Analysis of Expected Termination Time for Population Protocols. - Xinhan Di, Pengqian Yu, Meng Tian:
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification. - Amogh Agrawal, Akhilesh Jaiswal, Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. - Saad Kriouile, Maialen Larrañaga, Mohamad Assaad:
Asymptotically optimal delay-aware scheduling in wireless networks. - Wanran Xu, Suzhi Bi, Xiaohui Lin, Juan Wang:
Reusing Wireless Power Transfer for Backscatter-assisted Cooperation in WPCN. - Baoxiang Wang, Tongfang Sun, Xianjun Sam Zheng:
Beyond Winning and Losing: Modeling Human Motivations and Behaviors Using Inverse Reinforcement Learning. - Francesco Pace, Dimitrios Milios, Damiano Carra, Daniele Venzano, Pietro Michiardi:
A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters. - Dekel Tsur:
Representation of ordered trees with a given degree distribution. - Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Domain Adaptation. - Chaya Levinger, Amos Azaria, Noam Hazon:
Human Satisfaction as the Ultimate Goal in Ridesharing. - Fatemeh Riahi, Oliver Schulte:
Model-based Exception Mining for Object-Relational Data. - Tim Hegeman, Alexandru Iosup:
Survey of Graph Analysis Applications. - Ralf-Peter Mundani, Marko Ljucovic, Ernst Rank:
Framework for the hybrid parallelisation of simulation codes. - Konstantinos Zampogiannis, Cornelia Fermüller, Yiannis Aloimonos:
cilantro: a lean, versatile, and efficient library for point cloud data processing. - James Max Kanter, Benjamin Schreck, Kalyan Veeramachaneni:
Machine learning 2.0 : Engineering Data Driven AI Products. - Surya Bhupatiraju, Kumar Krishna Agrawal, Rishabh Singh:
Towards Mixed Optimization for Reinforcement Learning with Program Synthesis. - David Koerner, Jamie Portsmouth, Wenzel Jakob:
PN-Method for Multiple Scattering in Participating Media. - Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah:
Learning to Drive in a Day. - Mark Harmon, Diego Klabjan:
Dynamic Prediction Length for Time Series with Sequence to Sequence Networks. - John R. Zech, Marcus A. Badgeley, Manway Liu, Anthony B. Costa, Joseph J. Titano, Eric K. Oermann:
Confounding variables can degrade generalization performance of radiological deep learning models. - Gaurav Choudhary, Vishal Sharma, Ilsun You, Kangbin Yim, Ing-Ray Chen, Jin-Hee Cho:
Intrusion Detection Systems for Networked Unmanned Aerial Vehicles: A Survey. - Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon:
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. - Anvar Bahrampour, Omid Mohamad Nezami:
Dynamic Swarm Dispersion in Particle Swarm Optimization for Mining Unsearched Area in Solution Space (DSDPSO). - Aslam Abdullah:
Influence of the Forward Difference Scheme for the Time Derivative on the Stability of Wave Equation Numerical Solution. - Xiangxiang Chu:
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization. - Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan:
Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN. - Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
Speeding up the Metabolism in E-commerce by Reinforcement Mechanism Design. - Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen, Heikki Huttunen:
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision. - Chengxi Ye, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
Evenly Cascaded Convolutional Networks. - Shasha Li, Ajaya Neupane, Sujoy Paul, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Ananthram Swami:
Adversarial Perturbations Against Real-Time Video Classification Systems. - Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov:
How To Backdoor Federated Learning. - Amanda Bower, Laura Niss, Yuekai Sun, Alexander Vargo:
Debiasing representations by removing unwanted variation due to protected attributes. - Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy:
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites. - Jan Rühaak, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson, Heinz Handels, Jan Modersitzki, Mattias P. Heinrich:
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. - Sakshi Udeshi, Pryanshu Arora, Sudipta Chattopadhyay:
Automated Directed Fairness Testing. - Yuwei Xie, Hongwei Zhang, Pengfei Ren:
Unified Scheduling for Predictable Communication Reliability in Cellular Networks with D2D Links. - Masahiko Ueda, Toshiyuki Tanaka:
Zero-determinant strategies in repeated incomplete-information games: Consistency of payoff relations. - Yunhao Sun:
Information theoretic limits of state-dependent networks. - Shweta Shinde, Shengyi Wang, Pinghai Yuan, Aquinas Hobor, Abhik Roychoudhury, Prateek Saxena:
BesFS: Mechanized Proof of an Iago-Safe Filesystem for Enclaves. - Shaobin Cao, Zhijian Ji, Hai Lin, Haisheng Yu:
Perfectly Controllable Multi-Agent Networks. - Jeff Zhang, Siddharth Garg:
FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design. - Toan Nguyen, Nasir D. Memon:
Tap-based User Authentication for Smartwatches. - Sunil Arya, Guilherme Dias da Fonseca, David M. Mount:
Approximate Convex Intersection Detection with Applications to Width and Minkowski Sums. - G. D. Illeperuma:
An initial study on estimating area of a leaf using image processing. - Zhu Kaili, Chuan Wang, Ruobing Li, Yang Liu, Tianlei Hu, Hui Lin:
A Simple but Effective Classification Model for Grammatical Error Correction. - Rémi Bonnefoi, Lilian Besson, Christophe Moy, Emilie Kaufmann, Jacques Palicot:
Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings. - Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes:
Active Testing: An Efficient and Robust Framework for Estimating Accuracy. - Javier Ribera, Fangning He, Yuhao Chen, Ayman F. Habib, Edward J. Delp:
Estimating Phenotypic Traits From UAV Based RGB Imagery. - Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze:
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. - Terrance DeVries, Graham W. Taylor:
Leveraging Uncertainty Estimates for Predicting Segmentation Quality. - Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin:
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. - Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo:
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. - Michael Codish:
A SAT Encoding for the n-Fractions Problem. - Ilker Bozcan, Sinan Kalkan:
COSMO: Contextualized Scene Modeling with Boltzmann Machines. - Martin Monperrus:
Automatic Software Repair: a Bibliography. - Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng, Zhiqi Shen:
Balanced Distribution Adaptation for Transfer Learning. - Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach:
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract). - María Gómez, Bram Adams, Walid Maalej, Martin Monperrus, Romain Rouvoy:
App Store 2.0: From Crowd Information to Actionable Feedback in Mobile Ecosystems. - Albert Ali Salah, Alex Pentland, Bruno Lepri, Emmanuel Letouzé, Patrick Vinck, Yves-Alexandre de Montjoye, Xiaowen Dong, Özge Dagdelen:
Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey. - Xing Fan, Wei Jiang, Hao Luo, Mengjuan Fei:
SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification. - Piotr Zelasko, Piotr Szymanski, Jan Mizgajski, Adrian Szymczak, Yishay Carmiel, Najim Dehak:
Punctuation Prediction Model for Conversational Speech. - Yunlong Wang, Björn Sommer, Falk Schreiber, Harald Reiterer:
Clustering with Temporal Constraints on Spatio-Temporal Data of Human Mobility. - Roel Dobbe, Sarah Dean, Thomas Krendl Gilbert, Nitin Kohli:
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics. - Julia Lasserre, Katharina Rasch, Roland Vollgraf:
Studio2Shop: from studio photo shoots to fashion articles. - Jiajun Pan, Hoel Le Capitaine, Philippe Leray:
Relational Constraints for Metric Learning on Relational Data. - Sihao Xue, Zhenyi Ying, Fan Mo, Min Wang, Jue Sun:
Weight-importance sparse training in keyword spotting. - Manfred Jaeger, Oliver Schulte:
Inference, Learning, and Population Size: Projectivity for SRL Models. - Sergio Consoli, Jan H. M. Korst, Gijs Geleijnse, Steffen Pauws:
On the minimum quartet tree cost problem. - Atanas Atanasov, Hans-Joachim Bungartz, Jérôme Frisch, Miriam Mehl, Ralf-Peter Mundani, Ernst Rank, Christoph van Treeck:
Computational steering of complex flow simulations. - José Andrés Moreno-Pérez, Sergio Consoli:
Minimum Labelling bi-Connectivity. - José Camacho-Collados, Luis Espinosa Anke, Mohammad Taher Pilehvar:
The Interplay between Lexical Resources and Natural Language Processing. - Shiqi Shen, Soundarya Ramesh, Shweta Shinde, Abhik Roychoudhury, Prateek Saxena:
Neuro-Symbolic Execution: The Feasibility of an Inductive Approach to Symbolic Execution. - Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer:
Classifying neuromorphic data using a deep learning framework for image classification. - Ralf-Peter Mundani, Alexander Düster, Jovana Knezevic, Andreas Niggl, Ernst Rank:
Dynamic load balancing strategies for hierarchical p-FEM solvers. - Jasper Linmans, Jim Winkens, Bastiaan S. Veeling, Taco S. Cohen, Max Welling:
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks. - Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla:
Lifted Marginal MAP Inference. - Jacob Focke, Leslie Ann Goldberg, Stanislav Zivný:
The Complexity of Approximately Counting Retractions. - Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Neural Lattice Decoders. - Ashwin Srinivasan, Lovekesh Vig, Michael Bain:
Logical Explanations for Deep Relational Machines Using Relevance Information. - Junjie Zhang, Yong Xia, Yanning Zhang:
A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency. - Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin:
Crowd Counting using Deep Recurrent Spatial-Aware Network. - Evgeniy Gryaznov:
Semantic Query Language for Temporal Genealogical Trees. - Martin Grohe, Peter Lindner:
Probabilistic Databases with an Infinite Open-World Assumption. - Mehmet Ali Arabaci, Fatih Özkan, Elif Sürer, Peter Jancovic, Alptekin Temizel:
Multi-modal Egocentric Activity Recognition using Audio-Visual Features. - Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt:
Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming. - Selwa Elfirdoussi:
Using mobile service for supply chain management : a survey and challenges. - Yaman Kumar, Mayank Aggarwal, Pratham Nawal, Shin'ichi Satoh, Rajiv Ratn Shah, Roger Zimmermann:
Speech Reconstitution using Multi-view Silent Videos. - Tobias Sommer Thune, Yevgeny Seldin:
Adaptation to Easy Data in Prediction with Limited Advice. - Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin:
Mammography Dual View Mass Correspondence. - Ricardo Nobre, Luís Reis, João M. P. Cardoso:
Compiler Phase Ordering as an Orthogonal Approach for Reducing Energy Consumption. - Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. - Nicholas Coxon:
Fast Hermite interpolation and evaluation over finite fields of characteristic two. - Pietro Ferraro, Christopher K. King, Robert Shorten:
Distributed Ledger Technology, Cyber-Physical Systems, and Social Compliance. - Marta R. Costa-jussà, Marcos Zampieri, Santanu Pal:
A Neural Approach to Language Variety Translation. - Mingyang Jiang, Yiran Wu, Cewu Lu:
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation. - Richard Roberts, Stefan Marr, Michael Homer, James Noble:
Shallow Types for Insightful Programs: Grace is Optional, Performance is Not. - Pascal Caron, Edwin Hamel-De le Court, Jean-Gabriel Luque, Bruno Patrou:
New tools for state complexity. - Erik Lindén, Jonas Sjöstrand, Alexandre Proutière:
Appearance-Based 3D Gaze Estimation with Personal Calibration. - Yan Xiong, Cheng Su, Wenchao Huang:
Verifying Security Protocols using Dynamic Strategies. - Fabrice Zaoui:
A GPU-enabled finite volume solver for large shallow water simulations. - Tanja M. Kneiske, Martin Braun:
Flexibility potentials of a combined use of heat storages and batteries in PV-CHP hybrid systems. - Anis Kacem, Mohamed Daoudi, Boulbaba Ben Amor, Stefano Berretti, Juan Carlos Álvarez Paiva:
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding. - Haiqiang Wang, Xinfeng Zhang, Chao Yang, C.-C. Jay Kuo:
Analysis and prediction of JND-based video quality model. - Ting Yao, Xue Li:
YH Technologies at ActivityNet Challenge 2018. - Tom Kelly, Niloy J. Mitra:
Simplifying Urban Data Fusion with BigSUR. - Richard Diehl Martinez, Geoffrey Angus, Rooz Mahdavian:
Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods. - Boris Galkin, Jacek Kibilda, Luiz A. DaSilva:
Impact of UAV Antenna Configuration on Wireless Connectivity in Urban Environments. - Kirill P. Kalinin, Natalia G. Berloff:
Global optimization of spin Hamiltonians with gain-dissipative systems. - Fábio Ferreira, Jonas Rothfuss, Eren Erdal Aksoy, You Zhou, Tamim Asfour:
Introducing the Simulated Flying Shapes and Simulated Planar Manipulator Datasets. - Mark-Christoph Müller, Michael Strube:
Transparent, Efficient, and Robust Word Embedding Access with WOMBAT. - Shihao Yan, Yirui Cong, Stephen V. Hanly, Xiangyun Zhou:
Gaussian Signalling for Covert Communications. - Alexia Jolicoeur-Martineau:
The relativistic discriminator: a key element missing from standard GAN. - Yang-Hui He, Vishnu Jejjala, Brent D. Nelson:
hep-th. - Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin:
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors. - Rui Zhao, Volker Tresp:
Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. - Mudasar Bacha, Marco Di Renzo, Bruno Clerckx:
Treating Interference as Noise in Cellular Networks: A Stochastic Geometry Approach. - Tanya Braun, Ralf Möller:
Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm. - Marcel Gehrke, Tanya Braun, Ralf Möller:
Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm. - Michael A. Hedderich, Dietrich Klakow:
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. - Stefan Schibisch, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink:
Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes. - Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu:
Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis. - André Mateus, Omar Tahri, Pedro Miraldo:
Active Structure-from-Motion for 3D Straight Lines. - Gellért Weisz, András György, Csaba Szepesvári:
LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration. - Bernd Finkbeiner, Christopher Hahn, Marvin Stenger, Leander Tentrup:
Monitoring Hyperproperties. - Jovana Knezevic, Ralf-Peter Mundani, Ernst Rank:
A high-performance interactive computing framework for engineering applications. - Anton Andreychuk, Konstantin S. Yakovlev:
Path Finding for the Coalition of Co-operative Agents Acting in the Environment with Destructible Obstacles. - Sven Buechel, Udo Hahn:
Representation Mapping: A Novel Approach to Generate High-Quality Multi-Lingual Emotion Lexicons. - Xinhan Di, Pengqian Yu, Meng Tian:
Ambient Hidden Space of Generative Adversarial Networks. - Nicolas Behr, Pawel Sobocinski:
Rule Algebras for Adhesive Categories. - Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar:
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices. - Peter M. C. Harrison, Marcus T. Pearce:
An energy-based generative sequence model for testing sensory theories of Western harmony. - Aliaksei Vertsel, Mikhail Rumiantsau:
Pragmatic approach to structured data querying via natural language interface. - Forrest Laine, Claire J. Tomlin:
Efficient Computation of Feedback Control for Constrained Systems. - Oksana M. Markova, Serhiy Semerikov, Maiia Popel:
CoCalc as a Learning Tool for Neural Network Simulation in the Special Course "Foundations of Mathematic Informatics". - Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode: Feedback Codes via Deep Learning. - Yevhenii O. Modlo, Serhiy O. Semerikov:
Modernization of Professional Training of Electromechanics Bachelors: ICT-based Competence Approach. - Vladimir S. Morkun, Serhiy O. Semerikov, Nataliya V. Morkun, Svitlana M. Hryshchenko:
Defining the Structure of Environmental Competence of Future Mining Engineers: ICT Approach. - Daniil Anastasyev, Ilya Gusev, Eugene Indenbom:
Improving part-of-speech tagging via multi-task learning and character-level word representations. - Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor:
Mining Bad Credit Card Accounts from OLAP and OLTP. - Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling. - Shervin Rahimzadeh Arashloo, Josef Kittler:
Client-Specific Anomaly Detection for Face Presentation Attack Detection. - Konstantinos Psychas, Javad Ghaderi:
On Non-Preemptive VM Scheduling in the Cloud. - Yongqiang Huang, Yu Sun:
A Dataset of Daily Interactive Manipulation. - Athma Narayanan, Yi-Ting Chen, Srikanth Malla:
Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection. - Silvia Sellán, Herng Yi Cheng, Yuming Ma, Mitchell Dembowski, Alec Jacobson:
Solid Geometry Processing on Deconstructed Domains. - Meghana Bande, Venugopal V. Veeravalli:
Multi-User Multi-Armed Bandits for Uncoordinated Spectrum Access. - Vladimir Bataev, Maxim Korenevsky, Ivan Medennikov, Alexander Zatvornitskiy:
Exploring End-to-End Techniques for Low-Resource Speech Recognition. - David P. Woodruff, Qin Zhang:
Distributed Statistical Estimation of Matrix Products with Applications. - Aarthy Shivram Arun, Sai Vikneshwar Mani Jayaraman, Christopher Ré, Atri Rudra:
Hypertree Decompositions Revisited for PGMs. - Nathalie Bertrand, Miheer Dewaskar, Blaise Genest, Hugo Gimbert, Adwait Amit Godbole:
Controlling a population. - Jan Wöhlke, Shile Li, Dongheui Lee:
Model-based Hand Pose Estimation for Generalized Hand Shape with Appearance Normalization. - Eneldo Loza Mencía, Patryk Hopner:
Analysis and Optimization of Deep CounterfactualValue Networks. - Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova:
Learning under selective labels in the presence of expert consistency. - Alexander A. Alemi, Ian Fischer, Joshua V. Dillon:
Uncertainty in the Variational Information Bottleneck. - Isay Katsman, Rohun Tripathi, Andreas Veit, Serge J. Belongie:
Semantic Segmentation with Scarce Data. - Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, Thierry Poibeau, Ekaterina Shutova, Anna Korhonen:
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing. - Haiqiang Wang, Xinfeng Zhang, Chao Yang, C.-C. Jay Kuo:
A JND-based Video Quality Assessment Model and Its Application. - Li Sun, Zhi Yan, Anestis Zaganidis, Cheng Zhao, Tom Duckett:
Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data. - Nima Anari, Shayan Oveis Gharan, Cynthia Vinzant:
Log-concave polynomials, entropy, and a deterministic approximation algorithm for counting bases of matroids. - Davide Nunes, Luis Antunes:
Neural Random Projections for Language Modelling. - Youhong Feng, Shihao Yan, Zhen Yang:
Secure Transmission to the Strong User with Optimal Power Allocation in NOMA. - Pasin Manurangsi:
A Note on Degree vs Gap of Min-Rep Label Cover and Improved Inapproximability for Connectivity Problems. - Gibran Fuentes Pineda, Iván Vladimir Meza Ruíz:
Topic Discovery in Massive Text Corpora Based on Min-Hashing. - Takahito Aoto, Yoshihito Toyama:
Automated Proofs of Unique Normal Forms w.r.t. Conversion for Term Rewriting Systems. - Griffin Lacey, Graham W. Taylor, Shawki Areibi:
Stochastic Layer-Wise Precision in Deep Neural Networks. - Duhyeon Bang, Hyunjung Shim:
Resembled Generative Adversarial Networks: Two Domains with Similar Attributes. - Tobi Ogunyale, De'Aira G. Bryant, Ayanna M. Howard:
Does Removing Stereotype Priming Remove Bias? A Pilot Human-Robot Interaction Study. - Michael Zargham, Zixuan Zhang, Victor M. Preciado:
A State-Space Modeling Framework for Engineering Blockchain-Enabled Economic Systems. - Di Feng:
Leveraging Robotic Prior Tactile Exploratory Action Experiences For Learning New Objects's Physical Properties. - Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang:
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. - Ang Li, Zejian Yuan:
SymmNet: A Symmetric Convolutional Neural Network for Occlusion Detection. - Olga Krestinskaya, Alex Pappachen James, Leon O. Chua:
Neuro-memristive Circuits for Edge Computing: A review. - Xuanyi Dong, Shoou-I Yu, Xinshuo Weng, Shih-En Wei, Yi Yang, Yaser Sheikh:
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors. - Zhongshu Gu, Heqing Huang, Jialong Zhang, Dong Su, Ankita Lamba, Dimitrios Pendarakis, Ian M. Molloy:
Securing Input Data of Deep Learning Inference Systems via Partitioned Enclave Execution. - Eugene Siow, Thanassis Tiropanis, Wendy Hall:
Analytics for the Internet of Things: A Survey. - Varun Embar, Dhanya Sridhar, Golnoosh Farnadi, Lise Getoor:
Scalable Structure Learning for Probabilistic Soft Logic. - Jie Liu, Cheng Sun, Xiang Xu, Baomin Xu, Shuangyuan Yu:
A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification. - Ranesh Kumar Naha, Saurabh Kumar Garg, Dimitrios Georgakopoulos, Prem Prakash Jayaraman, Longxiang Gao, Yong Xiang, Rajiv Ranjan:
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions. - Tong Yang, Xiangyu Zhang, Wenqiang Zhang, Jian Sun:
MetaAnchor: Learning to Detect Objects with Customized Anchors. - William G. La Cava, Tilak Raj Singh, James Taggart, Srinivas Suri, Jason H. Moore:
Stochastic optimization approaches to learning concise representations. - Ahmad Babaeian Jelodar, David Paulius, Yu Sun:
Long Activity Video Understanding using Functional Object-Oriented Network. - Manuel Bodirsky, Barnaby Martin, Marcello Mamino, Antoine Mottet:
The complexity of disjunctive linear Diophantine constraints. - Bin Wang, Zhijian Ou:
Improved training of neural trans-dimensional random field language models with dynamic noise-contrastive estimation. - Boris Galkin, Luiz A. DaSilva:
UAVs as Mobile Infrastructure: Addressing Battery Lifetime. - Meng Wu, Yan Liu, Hongyu Kang, Si Zheng, Jiao Li, Li Hou:
Building a Controlled Vocabulary for Standardizing Precision Medicine Terms. - Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé:
Modular Vehicle Control for Transferring Semantic Information to Unseen Weather Conditions using GANs. - Luca Aceto, Ian Cassar, Adrian Francalanza, Anna Ingólfsdóttir:
On Runtime Enforcement via Suppressions. - Martin Zaefferer, Daniel Horn:
A First Analysis of Kernels for Kriging-based Optimization in Hierarchical Search Spaces. - Weinan Chen, Lei Zhu, Yisheng Guan, C. Ronald Kube, Hong Zhang:
Submap-based Pose-graph Visual SLAM: A Robust Visual Exploration and Localization System. - Laxmi R. Iyer, Yansong Chua, Haizhou Li:
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain. - Jiajian Xiao, Philipp Andelfinger, David Eckhoff, Wentong Cai, Alois C. Knoll:
A Survey on Agent-based Simulation using Hardware Accelerators. - Junping Wang, Wensheng Zhang, Youkang Shi, Shihui Duan, Jin Liu:
Industrial Big Data Analytics: Challenges, Methodologies, and Applications. - Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein:
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. - Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick:
Coopetitive Soft Gating Ensemble. - DaeHee Jang, Jongwhan Kim, Minjoon Park, Yunjong Jung, Minsu Kim, Hojoon Lee, Brent ByungHoon Kang:
RUMA: On the Analysis of Defenses based on Misaligned Accesses. - Eng-Jon Ong, Sameed Husain, Mikel Bober-Irizar, Miroslaw Bober:
Deep Architectures and Ensembles for Semantic Video Classification. - Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo:
Kitting in the Wild through Online Domain Adaptation. - Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter:
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. - Benjamin Sliwa, Johannes Pillmann, Maximilian Klaß, Christian Wietfeld:
Exploiting Map Topology Knowledge for Context-predictive Multi-interface Car-to-cloud Communication. - Domingo Docampo, Jean-Jacques Bessoule:
An approach based on the geometric mean of basic quantitative and qualitative bibliometric indicators to evaluate and analyse the research performance of countries and institutions. - Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, France Rennes:
MediaEval 2018: Predicting Media Memorability Task. - Sergey Goncharov, Julian Jakob, Renato Neves:
A Semantics for Hybrid Iteration. - Venkatesan Guruswami, Chaoping Xing, Chen Yuan:
How long can optimal locally repairable codes be? - Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill:
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters. - Marco Reisert, Volker A. Coenen, Christoph P. Kaller, Karl Egger, Henrik Skibbe:
HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI. - Maria-Irina Nicolae, Mathieu Sinn, Tran Ngoc Minh, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Ian M. Molloy, Benjamin Edwards:
Adversarial Robustness Toolbox v0.2.2. - Artur Czumaj, Christian Konrad:
Detecting cliques in CONGEST networks. - Anna L. D. Latour, Behrouz Babaki, Siegfried Nijssen:
Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams. - Carlos Cancino Chacón, Maarten Grachten:
A Computational Study of the Role of Tonal Tension in Expressive Piano Performance. - Sergio Hernandez Cerezo, Guillem Duran Ballester, Spiros Baxevanakis:
Solving Atari Games Using Fractals And Entropy. - Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla:
Domain Aware Markov Logic Networks. - Shervin Rahimzadeh Arashloo, Josef Kittler:
One-Class Kernel Spectral Regression for Outlier Detection. - Abbas Kiani, Nirwan Ansari, Abdallah Khreishah:
Hierarchical Capacity Provisioning for Fog Computing. - Kai Mindermann, Stefan Wagner:
Usability and Security Effects of Code Examples on Crypto APIs - CryptoExamples: A platform for free, minimal, complete and secure crypto examples. - Leon Sering, Martin Skutella:
Multi-Source Multi-Sink Nash Flows Over Time. - Mariya Shyshkina, Ulyana Kohut, Maiia Popel:
The Design and Evaluation of the Cloud-based Learning Components with the Use of the Systems of Computer Mathematics. - Jie Guo, Tingfa Xu, Shenwang Jiang, Ziyi Shen:
Stochastic Channel Decorrelation Network and Its Application to Visual Tracking. - Rodrigo Martín, Michael Weinmann, Matthias B. Hullin:
Evaluating the Effects of Material Sonification in Tactile Devices. - Ágnes Cseh, Telikepalli Kavitha:
Popular Matchings in Complete Graphs. - Mohammadreza Ashouri:
Design of a New Stream Cipher: PARS. - Maiia Popel, Svitlana V. Shokalyuk, Mariya Shyshkina:
The Learning Technique of the SageMathCloud Use for Students Collaboration Support. - Nathaniel Blanchard, Daniel Moreira, Aparna Bharati, Walter J. Scheirer:
Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities. - Peter Beelen:
A note on the generalized Hamming weights of Reed-Muller codes. - Nelson Yalta, Shinji Watanabe, Kazuhiro Nakadai, Tetsuya Ogata:
Weakly Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation. - Maiia Popel:
The Methodical Aspects of the Algebra and the Mathematical Analysis Study Using the Sagemath Cloud. - Xin Liu, Hui-Min Cheng, Zhongyuan Zhang:
Evaluation of Community Structures using Kappa Index and F-Score instead of Normalized Mutual Information. - Lily Hu, Yiling Chen:
Welfare and Distributional Impacts of Fair Classification. - Masanari Kimura, Takashi Yanagihara:
Semi-supervised Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data. - Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Robin Chen:
FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems. - Paul Waddell, Ignacio Garcia-Dorado, Samuel M. Maurer, Geoff Boeing, Max Gardner, Emily Porter, Daniel G. Aliaga:
Architecture for Modular Microsimulation of Real Estate Markets and Transportation. - Milana Grbic, Aleksandar Kartelj, Savka Jankovic, Dragan Matic, Vladimir Filipovic:
Variable neighborhood search for partitioning sparse biological networks into the maximum edge-weighted k-plexes. - Michael Simpson, Venkatesh Srinivasan, Alex Thomo:
Scalable Misinformation Prevention in Social Networks. - Ramy Amer, M. Majid Butt, Mehdi Bennis, Nicola Marchetti:
Inter-cluster Cooperation for Wireless D2D Caching Networks. - Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty:
A Decoupled Data Based Approach to Stochastic Optimal Control Problems. - Venkatesan Guruswami, Satyanarayana V. Lokam, Sai Vikneshwar Mani Jayaraman:
ε-MSR Codes: Contacting Fewer Code Blocks for Exact Repair. - Minchul Kim, Heecheol Yang, Jungwoo Lee:
Private Information Retrieval in Asynchronous Coded Computation. - Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. - Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor:
Credit Default Mining Using Combined Machine Learning and Heuristic Approach. - Ayushi Dalmia, Sachindra Joshi, Raghavendra Singh, Vikas Raykar:
Styling with Attention to Details. - Víctor Gutiérrez-Basulto, Jean Christoph Jung, Ondrej Kuzelka:
Markov Logic Networks with Statistical Quantifiers. - Iman Valiulahi, Farzan Haddadi, Arash Amini:
Robustness of Two-Dimensional Line Spectral Estimation Against Spiky Noise. - Fragkiskos Papadopoulos, Kaj-Kolja Kleineberg:
Link persistence and conditional distances in multiplex networks. - Kai Han:
Approximation Algorithms for Probabilistic Graphs. - Hans-Peter Beise, Steve Dias Da Cruz, Udo Schröder:
On decision regions of narrow deep neural networks. - Chang Gao, Derun Gu, Fangjun Zhang, Yizhou Yu:
ReCoNet: Real-time Coherent Video Style Transfer Network. - Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Local Gradients Smoothing: Defense against localized adversarial attacks. - Henri Riihimäki, Wojciech Chachólski:
Generalized persistence analysis based on stable rank invariant. - Donghyun Kim, Jaemin Lee, Orion Campbell, Hochul Hwang, Luis Sentis:
Computationally-Robust and Efficient Prioritized Whole-Body Controller with Contact Constraints. - Ricardo Brito, Alonso Rodríguez-Navarro:
The USA is an indisputable world leader in medical and biotechnological research. - David Kozhaya, Jérémie Decouchant, Paulo Jorge Esteves Veríssimo:
RT-ByzCast: Byzantine-Resilient Real-Time Reliable Broadcast. - Akiva Kleinerman, Ariel Rosenfeld, Sarit Kraus:
Providing Explanations for Recommendations in Reciprocal Environments. - Adam Van Etten, Dave Lindenbaum, Todd M. Bacastow:
SpaceNet: A Remote Sensing Dataset and Challenge Series. - Pablo Cañones, Boris Köpf, Jan Reineke:
On the Incomparability of Cache Algorithms in Terms of Timing Leakage. - Martino Borello, Cem Güneri, Elif Saçikara, Patrick Solé:
The Concatenated Structure of Quasi-Abelian Codes. - Giuseppe Liotta, Fabrizio Montecchiani, Alessandra Tappini:
Ortho-polygon Visibility Representations of 3-connected 1-plane Graphs. - Zhi-Qin John Xu, Yaoyu Zhang, Yanyang Xiao:
Training behavior of deep neural network in frequency domain. - Wenbo Li, Ming-Ching Chang, Siwei Lyu:
Who did What at Where and When: Simultaneous Multi-Person Tracking and Activity Recognition. - Samer El Zant, Katia Jaffrès-Runser, Klaus M. Frahm, Dima Shepelyansky:
Interactions and influence of world painters from the reduced Google matrix of Wikipedia networks. - Bo Zhou, Yuemeng Li, Jiangcong Wang:
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities. - Davide Bilò, Kleitos Papadopoulos:
A Novel Algorithm for the All-Best-Swap-Edge Problem on Tree Spanners. - Piotr Franciszek Orzechowski, Annika Meyer, Martin Lauer:
Tackling Occlusions & Limited Sensor Range with Set-based Safety Verification. - Mauricio Gonzalez-Soto, Luis Enrique Sucar, Hugo Jair Escalante:
Playing against Nature: causal discovery for decision making under uncertainty. - Tao Ge, Furu Wei, Ming Zhou:
Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study. - David Lucas, Vincent Neiger, Clément Pernet, Daniel S. Roche, Johan Rosenkilde:
Interactive Certificates for Polynomial Matrices with Sub-Linear Communication. - Vaggos Chatziafratis, Tim Roughgarden, Joshua R. Wang:
On the Computational Power of Online Gradient Descent. - Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio García Castañeda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel:
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. - Umutcan Simsek, Dieter Fensel:
Intent Generation for Goal-Oriented Dialogue Systems based on Schema.org Annotations. - John N. Jomo, Nils Zander, Mohamed Elhaddad, Ali Özcan, Stefan Kollmannsberger, Ralf-Peter Mundani, Ernst Rank:
Parallelization of the multi-level hp-adaptive finite cell method. - Sobhan Soleymani, Amirsina Torfi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification. - Gilad Divon, Ayellet Tal:
Viewpoint Estimation-Insights & Model. - Sobhan Soleymani, Ali Dabouei, Hadi Kazemi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification. - Dario Paccagnan, Rahul Chandan, Jason R. Marden:
Distributed resource allocation through utility design - Part I: optimizing the performance certificates via the price of anarchy. - Piero Molino, Huaixiu Zheng, Yi-Chia Wang:
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks. - Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou:
Best-Effort FPGA Programming: A Few Steps Can Go a Long Way. - Josh Borrow, Richard G. Bower, Peter W. Draper, Pedro Gonnet, Matthieu Schaller:
SWIFT: Maintaining weak-scalability with a dynamic range of 104 in time-step size to harness extreme adaptivity. - Dario Paccagnan, Jason R. Marden:
Distributed resource allocation through utility design - Part II: applications to submodular, supermodular and set covering problems. - Brook Roberts, Sebastian Kaltwang, Sina Samangooei, Mark Pender-Bare, Konstantinos Tertikas, John Redford:
A Dataset for Lane Instance Segmentation in Urban Environments. - Yuchen Lu, Peng Xu:
Anomaly Detection for Skin Disease Images Using Variational Autoencoder. - Ekta Gujral, Ravdeep Pasricha, Tianxiong Yang, Evangelos E. Papalexakis:
OCTen: Online Compression-based Tensor Decomposition. - Frédéric Blanqui, Giselle Reis:
Proceedings of the 13th International Workshop on Logical Frameworks and Meta-Languages: Theory and Practice, LFMTP@FSCD 2018, Oxford, UK, 7th July 2018. EPTCS 274, 2018 [contents] - Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch:
Efficient ConvNets for Analog Arrays. - Michael Behrisch, Robert Krüger, Fritz Lekschas, Tobias Schreck, Nils Gehlenborg, Hanspeter Pfister:
Visual Pattern-Driven Exploration of Big Data. - Phuc Nguyen, Khai Nguyen, Ryutaro Ichise, Hideaki Takeda:
EmbNum: Semantic labeling for numerical values with deep metric learning. - Michael Stephen Fiske:
Quantum Random Self-Modifiable Computation. - Rusheng Zhang, Bo Yu, Hariharan Krishnan:
Simulation Study on Collaborative Content Distribution in Delay Tolerant Vehicular Networks. - Rusheng Zhang, Frank Schmutz, Kyle Gerard, Aurélien Pomini, Louis Basseto, Sami Ben Hassen, Adhishree Jaiprakash, Inci Ozgunes, Abdulrahman Alarifi, Hussam Aldossary, Issa Alkurtass, Omar Talabay, Areej Almohanna, Shaha Alotaibi, Mansour Alsaleh, A. Ahmed Biyabani, Khaled Almohanna, Ozan K. Tonguz:
Increasing Traffic Flows with DSRC Technology: Field Trials and Performance Evaluation. - Jing Chen, Samuel McCauley, Shikha Singh:
Efficient Rational Proofs with Strong Utility-Gap Guarantees. - Christian Schulz:
Visualizing spreading phenomena on complex networks. - Shuai Zheng, Fan Yang, M. Hadi Kiapour, Robinson Piramuthu:
ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations. - Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans:
Patient representation learning and interpretable evaluation using clinical notes. - Timothy Dozat, Christopher D. Manning:
Simpler but More Accurate Semantic Dependency Parsing. - Elin Farnell, Henry Kvinge, Michael Kirby, Chris Peterson:
Endmember Extraction on the Grassmannian. - Mohammadhafez Bazrafshan, Nikolaos Gatsis, Marcio Giacomoni, Ahmad F. Taha:
A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks. - Guillaume Rabusseau, Tianyu Li, Doina Precup:
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning. - Lucie Tvrznikova:
Case for the double-blind peer review. - Chantana Chantrapornchai, Chidchanok Choksuchat:
TripleID-Q: RDF Query Processing Framework using GPU. - Tomás Feder, Pavol Hell, Carlos S. Subi:
Distance-Two Colorings of Barnette Graphs. - Christopher T. Lee, John B. Moody, Rommie E. Amaro, James Andrew McCammon, Michael J. Holst:
The Implementation of the Colored Abstract Simplicial Complex and its Application to Mesh Generation. - (Withdrawn) Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification.
- Hyun-Chul Choi, Minseong Kim:
Unbiased Image Style Transfer. - Artem Molchanov, Karol Hausman, Stan Birchfield, Gaurav S. Sukhatme:
Region Growing Curriculum Generation for Reinforcement Learning. - Zhisheng Wang, Fangxuan Sun, Jun Lin, Zhongfeng Wang, Bo Yuan:
SGAD: Soft-Guided Adaptively-Dropped Neural Network. - Naveen Kumar Macha, Sandeep Geedipally, Bhavana Tejaswini Repalle, Md Arif Iqbal, Wafi Danesh, Mostafizur Rahman:
Crosstalk based Fine-Grained Reconfiguration Techniques for Polymorphic Circuits. - Youlong Cao, Meixia Tao:
Treating Content Delivery in Multi-Antenna Coded Caching as General Message Sets Transmission: A DoF Region Perspective. - Naveen Kumar Macha, Bhavana Tejaswini Repalle, Sandeep Geedipally, Rafael Rios, Mostafizur Rahman:
A New Paradigm for Fault-Tolerant Computing with Interconnect Crosstalks. - Tao Song, Leiyu Sun, Di Xie, Haiming Sun, Shiliang Pu:
Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation. - Sarathkumar Rangarajan:
Qos-Based Web Service Discovery And Selection Using Machine Learning. - Shan Lin, Haoliang Li, Chang-Tsun Li, Alex ChiChung Kot:
Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification. - Karuna Ahuja, Karan Sikka, Anirban Roy, Ajay Divakaran:
Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention. - Xiaocheng Liu, Qifan Zhang, Pengcheng Qiu, Jiajie Tong, Huazi Zhang, Changyong Zhao, Jun Wang:
A 5.16Gbps decoder ASIC for Polar Code in 16nm FinFET. - Trung-Nghia Le, Akihiro Sugimoto:
Video Semantic Salient Instance Segmentation: Benchmark Dataset and Baseline. - Sanping Zhou, Jinjun Wang, Deyu Meng, Yudong Liang, Yihong Gong, Nanning Zheng:
Discriminative Feature Learning with Foreground Attention for Person Re-Identification. - Hiromi Ishii:
A Purely Functional Computer Algebra System Embedded in Haskell. - Sheng Jin:
Deep Saliency Hashing. - Anh-Duc Nguyen, Woojae Kim, Jongyoo Kim, Sanghoon Lee:
Video Frame Interpolation by Plug-and-Play Deep Locally Linear Embedding. - Marco Giordani, Andrea Zanella, Takamasa Higuchi, Onur Altintas, Michele Zorzi:
On the Feasibility of Integrating mmWave and IEEE 802.11p for V2V Communications. - Leimin Tian, Catherine Lai, Johanna D. Moore:
Polarity and Intensity: the Two Aspects of Sentiment Analysis. - Yu Huang, Miaowen Wen, Lie-Liang Yang, Chan-Byoung Chae, Fei Ji:
Spatial Modulation for Molecular Communication. - Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha:
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. - Zhiqiang Gong, Ping Zhong, Weidong Hu:
Diversity in Machine Learning. - Hsien-Chih Chang, Pawel Gawrychowski, Shay Mozes, Oren Weimann:
Near-Optimal Distance Emulator for Planar Graphs. - Julian Zimmert, Yevgeny Seldin:
Factored Bandits. - Minseong Kim, Jongju Shin, Myung-Cheol Roh, Hyun-Chul Choi:
Uncorrelated Feature Encoding for Faster Image Style Transfer. - Desmond J. Higham:
Centrality-Friendship Paradoxes: When Our Friends Are More Important Than Us. - Matthew Trumble, Andrew Gilbert, Adrian Hilton, John P. Collomosse:
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling. - Felix Beierle, Vinh Thuy Tran, Mathias Allemand, Patrick Neff, Winfried Schlee, Thomas Probst, Rüdiger Pryss, Johannes Zimmermann:
Context Data Categories and Privacy Model for Mobile Data Collection Apps. - Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, Leonidas J. Guibas:
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces. - Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer:
Curiosity Driven Exploration of Learned Disentangled Goal Spaces. - Jie Xu:
Distributed super point cardinality estimation under sliding time window for high speed network. - Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, Yoshifumi Nishida:
An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness. - Lucas Balthazar, João Xavier, Bruno Sinopoli:
Distributed Estimation Via a Roaming Token. - Shangbang Long, Jiaqiang Ruan, Wenjie Zhang, Xin He, Wenhao Wu, Cong Yao:
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes. - Christian Häger, Henry D. Pfister:
Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. - Yutai Hou, Yijia Liu, Wanxiang Che, Ting Liu:
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding. - Waqas Aman, Muhammad Mahboob Ur Rahman, Junaid Qadir:
Secure Routing in OFDM based Multi-Hop Underwater Acoustic Sensor Networks. - Umberto Ferraro Petrillo, Mara Sorella, Giuseppe Cattaneo, Raffaele Giancarlo, Simona E. Rombo:
Analyzing Big Datasets of Genomic Sequences: Fast and Scalable Collection of k-mer Statistics. - Michael Schmitt, Lloyd Haydn Hughes, Xiao Xiang Zhu:
The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion. - Mario Corsolini, Andrea Carta:
VideoKifu, or the automatic transcription of a Go game. - Arne Schmidt, Sheryl Manzoor, Li Huang, Aaron T. Becker, Sándor P. Fekete:
Efficient Parallel Self-Assembly Under Uniform Control Inputs. - Marcel Gehrke, Tanya Braun, Ralf Möller:
Answering Hindsight Queries with Lifted Dynamic Junction Trees. - Longhao Yuan, Jianting Cao, Qiang Wu, Qibin Zhao:
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. - Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball:
The role of robot design in decoding error-related information from EEG signals of a human observer. - Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi:
Asymptotic Analysis of Spatial Coupling Coding for Compute-and-Forward Relaying. - Javier Ferrer, Enrique Alba:
BIN-CT: Urban Waste Collection based in Predicting the Container Fill Level. - Mubariz Zaffar, Shoaib Ehsan, Rustam Stolkin, Klaus D. McDonald-Maier:
Sensors, SLAM and Long-term Autonomy: A Review. - Anthony Savidis, Yannis Apostolidis, Yannis Lilis:
Multi-Stage JavaScript. - Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami:
Conditional Neural Processes. - Telma Pereira, Sandra Cardoso, Dina Silva, Manuela Guerreiro, Alexandre de Mendonça, Sara C. Madeira:
Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease. - Dominique Duval:
Logical rules as fractions and logics as sketches. - Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh:
Neural Processes. - Vladimir Kiriansky, Haoran Xu, Martin C. Rinard, Saman P. Amarasinghe:
Cimple: Instruction and Memory Level Parallelism. - Rusheng Zhang, Akihiro Ishikawa, Wenli Wang, Benjamin Striner, Ozan K. Tonguz:
Partially Observable Reinforcement Learning for Intelligent Transportation Systems. - Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun:
Neonatal Pain Expression Recognition Using Transfer Learning. - Manuel Mazzara, Alexandr Naumchev, Larisa Safina, Alberto Sillitti, Konstantin Urysov:
Teaching DevOps in Corporate Environments: An experience report. - Rusheng Zhang, Frank Schmutz, Kyle Gerard, Aurélien Pomini, Louis Basseto, Sami Ben Hassen, Akihiro Ishikawa, Inci Ozgunes, Ozan K. Tonguz:
Virtual Traffic Lights: System Design and Implementation. - Philipp H. Kindt, Sangyoung Park, Samarjit Chakraborty:
Fast Collision Simulation for Cyclic Wireless Protocols. - Borja Balle, Gilles Barthe, Marco Gaboardi:
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences. - Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara:
AND: Autoregressive Novelty Detectors. - Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng:
MIXGAN: Learning Concepts from Different Domains for Mixture Generation. - Diego Armando Díaz Vargas, Rui Xue, Claude Baron, Philippe Esteban, Rob A. Vingerhoeds, Y. Citlalih, Chao Liu:
Implementing SCRUM to develop a connected robot. - Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann:
Encoding Spatial Relations from Natural Language. - Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir:
Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization. - Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee:
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. - Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi:
Towards Automation of Sense-type Identification of Verbs in OntoSenseNet(Telugu). - Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi:
BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations. - Heng Guo, Kun He:
Tight bounds for popping algorithms. - Weidong Yuan, Alan W. Black:
Generating Mandarin and Cantonese F0 Contours with Decision Trees and BLSTMs. - Quoc Dung Cao, Youngjun Choe:
Deep Learning Based Damage Detection on Post-Hurricane Satellite Imagery. - Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Localization Recall Precision (LRP): A New Performance Metric for Object Detection. - Dan Hendrycks, Thomas G. Dietterich:
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. - Daejin Jung, Wonkyung Jung, Byeongho Kim, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn:
Restructuring Batch Normalization to Accelerate CNN Training. - Xin Zhang, Hong Xiang, Tao Xiang, Li Fu, Jun Sang:
An efficient quantum circuits optimizing scheme compared with QISKit. - Yongping Xing, Chuangbai Xiao, Yifei Wu, Ziming Ding:
A Convolutional Neural Network for Aspect Sentiment Classification. - Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks. - Esther Galbrun, Peggy Cellier, Nikolaj Tatti, Alexandre Termier, Bruno Crémilleux:
Mining Periodic Patterns with a MDL Criterion. - Ze Wang, Weiqiang Ren, Qiang Qiu:
LaneNet: Real-Time Lane Detection Networks for Autonomous Driving. - Gal Bahar, Rann Smorodinsky, Moshe Tennenholtz:
Recommendation Systems and Self Motivated Users. - Lucas Lehnert, Michael L. Littman:
Transfer with Model Features in Reinforcement Learning. - Carlos Gómez-Rodríguez, Tianze Shi, Lillian Lee:
Global Transition-based Non-projective Dependency Parsing. - Vasile Patrascu:
Shannon entropy for intuitionistic fuzzy information. - Pablo Fernandez Carmona, Michael Eichin, Alexandre Mayor, Harald Regele, Martin Grossmann, Damien Charles Weber:
Significant acceleration of development by automating quality assurance of a medical particle accelerator safety system using a formal language driven test stand. - Malte von Mehren, Fabian Gieseke, Jan Verbesselt, Sabina Rosca, Stéphanie Horion, Achim Zeileis:
Massively-Parallel Break Detection for Satellite Data. - Kuang Gong, Kyung Sang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li:
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network. - Yue Liu, Tongtao Zhang, Zhicheng Liang, Heng Ji, Deborah L. McGuinness:
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text. - Ashwin Vishnu Mohanan, Cyrille Bonamy, Miguel Calpe Linares, Pierre Augier:
FluidSim: modular, object-oriented Python package for high-performance CFD simulations. - Mariya Shyshkina, Uliana Kohut, Maiia Popel:
The Systems of Computer Mathematics in the Cloud-Based Learning Environment of Educational Institutions. - Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon M. Kleinberg:
Direct Uncertainty Prediction with Applications to Healthcare. - Stephan Druskat, Daniel S. Katz:
Mapping the research software sustainability space. - Stefan Falkner, Aaron Klein, Frank Hutter:
BOHB: Robust and Efficient Hyperparameter Optimization at Scale. - Ashwin Vishnu Mohanan, Cyrille Bonamy, Pierre Augier:
FluidFFT: common API (C++ and Python) for Fast Fourier Transform HPC libraries. - Chunfeng Cui, Zheng Zhang:
Uncertainty Quantification of Electronic and Photonic ICs with Non-Gaussian Correlated Process Variations. - Gianmarco Santini, Lorena M. Zumbo, Nicola Martini, Gabriele Valvano, Andrea Leo, Andrea Ripoli, Francesco Avogliero, Dante Chiappino, Daniele Della Latta:
Synthetic contrast enhancement in cardiac CT with Deep Learning. - Mehdi Drissi, Olivia Watkins, Aditya Khant, Vivaswat Ojha, Pedro Sandoval Segura, Rakia Segev, Eric Weiner, Robert Keller:
Program Language Translation Using a Grammar-Driven Tree-to-Tree Model. - Siddhant Rao:
MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks. - Sepideh Avizheh, Reihaneh Safavi-Naini, Siamak F. Shahandashti:
A New Look at the Refund Mechanism in the Bitcoin Payment Protocol. - Giovanni Colavizza:
A diachronic study of historiography. - Duc Minh Nguyen, Evaggelia Tsiligianni, A. Robert Calderbank, Nikos Deligiannis:
Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning. - Amar Viswanathan, Geeth de Mel, James A. Hendler:
Feature-based reformulation of entities in triple pattern queries. - Michael A. Bender, Jake Christensen, Alexander Conway, Martin Farach-Colton, Rob Johnson, Meng-Tsung Tsai:
Optimal Ball Recycling. - Jiaxin Chen, Yi Fang:
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval. - Alkis Gotovos, S. Hamed Hassani, Andreas Krause, Stefanie Jegelka:
Discrete Sampling using Semigradient-based Product Mixtures. - Jiali Duan, Xiaoyuan Guo, Yuhang Song, Chao Yang, C.-C. Jay Kuo:
PortraitGAN for Flexible Portrait Manipulation. - Yin Yang:
LinBFT: Linear-Communication Byzantine Fault Tolerance for Public Blockchains. - Kristopher De Asis, Richard S. Sutton:
Per-decision Multi-step Temporal Difference Learning with Control Variates. - Vikas Yadav, Rebecca Sharp, Mihai Surdeanu:
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. - Maksim O. Shudrak, Vyacheslav Zolotarev:
Improving Fuzzing Using Software Complexity Metrics. - Qi Zhang, Ling Liu, Calton Pu, Qiwei Dou, Liren Wu, Wei Zhou:
A Comparative Study of Containers and Virtual Machines in Big Data Environment. - Benyamin Ghojogh, Saeed Sharifian:
Pontogammarus Maeoticus Swarm Optimization: A Metaheuristic Optimization Algorithm. - He Kong, Salah Sukkarieh:
Metamorphic Moving Horizon Estimation. - Thierry Denoeux:
Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective. - Mohammad Masudur Rahman, Chanchal K. Roy:
An Insight into the Unresolved Questions at Stack Overflow. - Mohammad Masudur Rahman, Chanchal K. Roy:
Impact of Continuous Integration on Code Reviews. - Mohammad Masudur Rahman, Chanchal K. Roy:
An Insight into the Pull Requests of GitHub. - Jakub Szefer, Tianwei Zhang, Ruby B. Lee:
Practical and Scalable Security Verification of Secure Architectures. - Shuiyuan Yu, Chunshan Xu, Haitao Liu:
Zipf's law in 50 languages: its structural pattern, linguistic interpretation, and cognitive motivation. - Mohammad Masudur Rahman, Shamima Yeasmin, Chanchal K. Roy:
An IDE-Based Context-Aware Meta Search Engine. - Sihem Mesnager, Kwang Ho Kim, Junyop Choe, Chunming Tang:
On the Menezes-Teske-Weng's conjecture. - Tianwei Zhang, Zecheng He, Ruby B. Lee:
Privacy-preserving Machine Learning through Data Obfuscation. - Wei Ao, Yanwei Fu, Feng Xu:
Detecting Tiny Moving Vehicles in Satellite Videos. - Thien-Minh Nguyen, Zhirong Qiu, Muqing Cao, Thien Hoang Nguyen, Lihua Xie:
An integrated localization-navigation scheme for distance-based docking of UAVs. - Harold Soh, Pan Shu, Min Chen, David Hsu:
The Transfer of Human Trust in Robot Capabilities across Tasks. - TonTon Hsien-De Huang:
Hunting the Ethereum Smart Contract: Color-inspired Inspection of Potential Attacks. - Carlo Angiuli, Evan Cavallo, Kuen-Bang Hou (Favonia), Robert Harper, Jonathan Sterling:
The RedPRL Proof Assistant (Invited Paper). 1-10 - Ernesto Copello, Nora Szasz, Álvaro Tasistro:
Formalisation in Constructive Type Theory of Barendregt's Variable Convention for Generic Structures with Binders. 11-26 - Martín Copes, Nora Szasz, Álvaro Tasistro:
Formalization in Constructive Type Theory of the Standardization Theorem for the Lambda Calculus using Multiple Substitution. 27-41 - Rodolphe Lepigre, Christophe Raffalli:
Abstract Representation of Binders in OCaml using the Bindlib Library. 42-56 - François Thiré:
Sharing a Library between Proof Assistants: Reaching out to the HOL Family. 57-71 - Rui Fan, Xiao Ai, Naim Dahnoun:
Road surface 3d reconstruction based on dense subpixel disparity map estimation. - Marie-Liesse Cauwet, Olivier Teytaud:
Surprising strategies obtained by stochastic optimization in partially observable games. - Zhenyu Jiao, Shuqi Sun, Ke Sun:
Chinese Lexical Analysis with Deep Bi-GRU-CRF Network. - Qi Yuan, Bingwang Zhang, Haojie Li, Zhihui Wang, Zhongxuan Luo:
A Single Shot Text Detector with Scale-adaptive Anchors. - Septimia Sârbu, Riccardo Volpi, Alexandra Peste, Luigi Malagò:
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds. - Jen-Yu Liu, Yi-Hsuan Yang:
Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation. - Anton Andreychuk, Konstantin S. Yakovlev:
Multi-robot Path Planning in Well-formed Infrastructures: Prioritized Planning vs. Prioritized Wait Adjustment (Preliminary Results). - Zuxing Li, Tobias J. Oechtering, Deniz Gündüz:
Smart Meter Privacy: Adversarial Hypothesis Testing Models. - Okan Koc, Guilherme Maeda, Jan Peters:
Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control. - Marc Roth, Johannes Schmitt:
Counting Induced Subgraphs: A Topological Approach to #W[1]-hardness. - Anna Zamansky, Maria Spichkova, Guillermo Rodríguez-Navas, Peter Herrmann, Jan Olaf Blech:
Towards Classification of Lightweight Formal Methods. - Xiao Zhou, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo:
Evaluating the impact of the 2012 Olympic Games policy on the regeneration of East London using spatio-temporal big data. - Maria Spichkova, Radhika Bhat:
FocusST Solution for Analysis of Cryptographic Properties. - Tawfeeq Alsanoosy, Maria Spichkova, James Harland:
Cultural Influences on Requirements Engineering Process in the Context of Saudi Arabia. - Rudi Horn, Roly Perera, James Cheney:
Incremental Relational Lenses. - Andrew Gilbert, Marco Volino, John P. Collomosse, Adrian Hilton:
Volumetric performance capture from minimal camera viewpoints. - Tobias Böttger, Markus Ulrich, Carsten Steger:
Subpixel-Precise Tracking of Rigid Objects in Real-time. - M. S. Ishwarya, Aswani Kumar Cherukuri:
Lattice based Conceptual Spaces to Explore Cognitive Functionalities for Prosthetic Arm. - Markus Müller, Sebastian Stüker, Alex Waibel:
Neural Language Codes for Multilingual Acoustic Models. - Abdelrahman A. H. Anis, Bassant Abdelhamid, Salwa Elramly:
Low Overhead Weighted-Graph-Coloring-Based Two-Layer Precoding for FDD Massive MIMO Systems. - Georgios Papoudakis, Kyriakos C. Chatzidimitriou, Pericles A. Mitkas:
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks. - Ondrej Bajgar, Rudolf Kadlec, Jan Kleindienst:
A Boo(n) for Evaluating Architecture Performance. - Annette M. C. Ficker, Thomas Erlebach, Matús Mihalák, Frits C. R. Spieksma:
Partitioning Vectors into Quadruples: Worst-Case Analysis of a Matching-Based Algorithm. - Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel, Luc Van Gool:
Model-free Consensus Maximization for Non-Rigid Shapes. - Hang Su, Xiatian Zhu, Shaogang Gong:
Open Logo Detection Challenge. - Maiia Popel:
The Cloud Technologies and Augmented Reality: the Prospects of Use. - Alexis Brenon, François Portet, Michel Vacher:
Arcades: A deep model for adaptive decision making in voice controlled smart-home. - Aram Ter-Sarkisov, Robert J. Ross, John D. Kelleher, Bernadette Earley, Michael Keane:
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. - Ralf Teusner, Christoph Matthies, Thomas Staubitz:
What Stays in Mind? - Retention Rates in Programming MOOCs. - Regio A. Michelin, Ali Dorri, Roben Castagna Lunardi, Marco Steger, Salil S. Kanhere, Raja Jurdak, Avelino F. Zorzo:
SpeedyChain: A framework for decoupling data from blockchain for smart cities. - Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima:
BayesGrad: Explaining Predictions of Graph Convolutional Networks. - Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen:
Perspective-Aware CNN For Crowd Counting. - Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta:
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection. - Sreekavitha Parupalli, Navjyoti Singh:
A Formal Ontology-Based Classification of Lexemes and its Applications. - Patrick Follmann, Bertram Drost, Tobias Böttger:
Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products. - Christoph Wick, Christian Reul, Frank Puppe:
Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition. - Sanaa Sharafeddine, Rania Islambouli:
On-Demand Deployment of Multiple Aerial Base Stations for Traffic Offloading and Network Recovery. - Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen, Zhiwei Zhong, Zaichen Zhang, Xiaohu You:
DNA Computing for Combinational Logic. - Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger:
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. - Amy LaViers:
Expressivity in Natural and Artificial Systems. - Moritz Lode, Michael Örtl, Christian Koch, Amr Rizk, Ralf Steinmetz:
Detection and Analysis of Content Creator Collaborations in YouTube Videos using Face- and Speaker-Recognition. - Nicholas H. Crisp, Sabrina Livadiotti, Peter C. E. Roberts:
A Semi-Analytical Method for Calculating Revisit Time for Satellite Constellations with Discontinuous Coverage. - Andrea Marrella, Massimo Mecella, Mahmoud Sharf, Tiziana Catarci:
The TESTMED Project Experience. Process-aware Enactment of Clinical Guidelines through Multimodal Interfaces. - Clemens Seibold, Anna Hilsmann, Peter Eisert:
Reflection Analysis for Face Morphing Attack Detection. - Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan:
Consistent Generative Query Networks. - Tung D. Le, Haruki Imai, Yasushi Negishi, Kiyokuni Kawachiya:
TFLMS: Large Model Support in TensorFlow by Graph Rewriting. - Aliasgar Kutiyanawala, Prateek Verma, Zheng Yan:
Towards a simplified ontology for better e-commerce search. - Rui Fan, Yanan Liu, Mohammud Junaid Bocus, Ming Liu:
Real-Time Subpixel Fast Bilateral Stereo. - Marius Buliga:
The em-convex rewrite system. - Peiliang Li, Tong Qin, Shaojie Shen:
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving. - Anton Kolonin:
Representing scenarios for process evolution management. - Zhengjun Cao, Zhen Chen, Lihua Liu:
Analysis of Nederlof's algorithm for subset sum. - Fabio Pardo, Vitaly Levdik, Petar Kormushev:
Goal-oriented Trajectories for Efficient Exploration. - Dongdong Zeng, Ming Zhu, Arjan Kuijper:
Combining Background Subtraction Algorithms with Convolutional Neural Network. - Luca Aceto, Ignacio Fábregas, Álvaro García-Pérez, Anna Ingólfsdóttir, Yolanda Ortega-Mallén:
Rule Formats for Nominal Process Calculi. - Henning Tjaden, Ulrich Schwanecke, Elmar Schömer, Daniel Cremers:
A Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking. - Somdip Dey, Grigorios Kalliatakis, Sangeet Saha, Amit Kumar Singh, Shoaib Ehsan, Klaus D. McDonald-Maier:
MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip. - Tobias Kappé, Paul Brunet, Bas Luttik, Alexandra Silva, Fabio Zanasi:
Equivalence checking for weak bi-Kleene algebra. - Yash Patel, Lluís Gómez i Bigorda, Raul Gomez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces. - Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi:
Adaptive Path-Integral Approach to Representation Learning and Planning for Dynamical Systems. - Seyma Yucer, Yusuf Sinan Akgul:
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning. - Niki Vazou, Éric Tanter, David Van Horn:
Gradual Liquid Type Inference. - I Gede Pasek Suta Wijaya:
Face Recognition Using Map Discriminant on YCbCr Color Space. - Alexander Kolesnikov, Christoph H. Lampert, Vittorio Ferrari:
Detecting Visual Relationships Using Box Attention. - Huynh Manh, Gita Alaghband:
Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking. - Elias Tragas, Calvin Luo, Maxime Gazeau, Kevin Luk, David Duvenaud:
Scalable Recommender Systems through Recursive Evidence Chains. - Sha Hu:
On Ergodic Capacity and Optimal Number of Tiers in UAV-Assisted Communication Systems. - Jun Zhang, Ashirbani Saha, Brian J. Soher, Maciej A. Mazurowski:
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. - Shweta Yadav, Ankit Kumar, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Feature Assisted bi-directional LSTM Model for Protein-Protein Interaction Identification from Biomedical Texts. - Mao Yang, Bo Li, Guanxiong Feng, Zhongjiang Yan:
V-CNN: When Convolutional Neural Network encounters Data Visualization. - Mehdi Imani, Abolfazl Qiasi Moghadam, Nasrin Zarif, Omekolsoom Noshiri, Kimia Faramarzi, Hamid R. Arabnia, Majid Joudaki:
A Comprehensive Survey on Addressing Methods in the Internet of Things. - Hamed Rezaei, Mojtaba MalekpourShahraki, Balajee Vamanan:
Slytherin: Dynamic, Network-assisted Prioritization of Tail Packets in Datacenter Networks. - Mogens Graf Plessen:
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling. - Priyadarshini Panda, Kaushik Roy:
Explainable Learning: Implicit Generative Modelling during Training for Adversarial Robustness. - David Paulius, Ahmad Babaeian Jelodar, Yu Sun:
Functional Object-Oriented Network: Construction & Expansion. - David Paulius, Yu Sun:
A Survey of Knowledge Representation and Retrieval for Learning in Service Robotics. - Sergio Oramas, Luis Espinosa Anke, Francisco Gómez, Xavier Serra:
Natural Language Processing for Music Knowledge Discovery. - Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang:
The price of debiasing automatic metrics in natural language evaluation. - Douglas Comer, Adib Rastegarnia:
OSDF: An Intent-based Software Defined Network Programming Framework. - Marco Del Vecchio, Alexander A. Kharlamov, Glenn C. Parry, Ganna Pogrebna:
The Data Science of Hollywood: Using Emotional Arcs of Movies to Drive Business Model Innovation in Entertainment Industries. - Li Chen, David Coeurjolly:
Digital Geometry, a Survey. - Siyuan Gong, Anye Zhou, Jian Wang, Tao Li, Srinivas Peeta:
Cooperative Adaptive Cruise Control for a Platoon of Connected and Autonomous Vehicles Considering Dynamic Information Flow Topology. - Patrick Connor:
Addressing the Barriers to Interlingual Rule-based Machine Translation with a Concept Specification and Abstraction Semantic Representation. - Yueyu Hu, Wenhan Yang, Mading Li, Jiaying Liu:
Progressive Spatial Recurrent Neural Network for Intra Prediction. - Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu:
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. - Zirui Wang, Jaime G. Carbonell:
Towards more Reliable Transfer Learning. - Changle Li, Yao Zhang, Tom H. Luan, Yuchuan Fu:
Building Transmission Backbone for Highway Vehicular Networks: Framework and Analysis. - Pengyuan Lyu, Minghui Liao, Cong Yao, Wenhao Wu, Xiang Bai:
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes. - Kevin Lin, Fan Yang, Qiaosong Wang, Robinson Piramuthu:
Adversarial Learning for Fine-grained Image Search. - Omid Mohamad Nezami, Mark Dras, Peter Anderson, Len Hamey:
Face-Cap: Image Captioning using Facial Expression Analysis. - Wajih Ullah Baig, Umar Munir, Waqas Ellahi, Adeel Ejaz, Kashif Sardar:
Minutia Texture Cylinder Codes for fingerprint matching. - Avishek Ghosh, Kannan Ramchandran:
Faster Data-access in Large-scale Systems: Network-scale Latency Analysis under General Service-time Distributions. - Cheng-Wei Wu, Jen-Yu Liu, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks. - Mohammad Masudur Rahman, Shamima Yeasmin, Chanchal K. Roy:
Towards a Context-Aware IDE-Based Meta Search Engine for Recommendation about Programming Errors and Exceptions. - Mohammad Masudur Rahman, Chanchal K. Roy:
SurfClipse: Context-Aware Meta Search in the IDE. - Edgar Margffoy-Tuay, Juan C. Pérez, Emilio Botero, Pablo Arbeláez:
Dynamic Multimodal Instance Segmentation guided by natural language queries. - Raghavendra Kumar Chunduri, Aswani Kumar Cherukuri:
Scalable Formal Concept Analysis algorithm for large datasets using Spark. - Mohammad Masudur Rahman, Chanchal K. Roy:
On the Use of Context in Recommending Exception Handling Code Examples. - Charini Nanayakkara, Peter Christen, Thilina Ranbaduge:
Temporal graph-based clustering for historical record linkage. - Mohammad Masudur Rahman, Chanchal K. Roy:
TextRank Based Search Term Identification for Software Change Tasks. - Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh:
Variance Reduction for Reinforcement Learning in Input-Driven Environments. - Shiqi Yang, Gang Peng:
Parallel Convolutional Networks for Image Recognition via a Discriminator. - Guohao Lan, Weitao Xu, Dong Ma, Sara Khalifa, Mahbub Hassan, Wen Hu:
EnTrans: Leveraging Kinetic Energy Harvesting Signal for Transportation Mode Detection. - Mohammad Masudur Rahman, Chanchal K. Roy:
Recommending Relevant Sections from a Webpage about Programming Errors and Exceptions. - Mohammad Masudur Rahman, Chanchal K. Roy, Iman Keivanloo:
Recommending Insightful Comments for Source Code using Crowdsourced Knowledge. - Yi Qin, Tao Xie, Chang Xu, Angello Astorga, Jian Lu:
CoMID: Context-based Multi-Invariant Detection for Monitoring Cyber-Physical Software. - Wei Li, Kai Bai, Xiaopei Liu:
Continuous-Scale Kinetic Fluid Simulation. - Adrian Rivera Cardoso, Rachel Cummings:
Differentially Private Online Submodular Optimization. - Zeping Yu, Gongshen Liu:
Sliced Recurrent Neural Networks. - Yuanhong Xu, Pei Dong, Junyu Dong, Lin Qi:
Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction. - Tanner Fiez, Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff:
Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences. - Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang:
On the Equilibrium of Query Reformulation and Document Retrieval. - Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou:
Sequential Copying Networks. - Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, Jean-Baptiste Mouret:
A survey on policy search algorithms for learning robot controllers in a handful of trials. - Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao:
Neural Document Summarization by Jointly Learning to Score and Select Sentences. - Vincenzo Sciancalepore, Faqir Zarrar Yousaf, Xavier Costa-Pérez:
z-TORCH: An Automated NFV Orchestration and Monitoring Solution. - Jingjing Zhao, Lifeng Wang, Kai-Kit Wong, Meixia Tao, Toktam Mahmoodi:
Energy and Latency Control for Edge Computing in Dense V2X Networks. - Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
JUMPER: Learning When to Make Classification Decisions in Reading. - Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, Ni Lao:
Memory Augmented Policy Optimization for Program Synthesis with Generalization. - Andreas Pfeuffer, Klaus Dietmayer:
Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions. - Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf:
Sum-Product Networks for Sequence Labeling. - Wujie Zheng, Wenyu Wang, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Tao Xie:
Oracle-free Detection of Translation Issue for Neural Machine Translation. - Maxime Chaveroche, Adrien Malaisé, Francis Colas, François Charpillet, Serena Ivaldi:
A Variational Time Series Feature Extractor for Action Prediction. - Beniamino Accattoli, Stéphane Graham-Lengrand, Delia Kesner:
Tight Typings and Split Bounds. - Günther Eibl, Kaibin Bao, Philip-William Grassal, Daniel Bernau, Hartmut Schmeck:
The Influence of Differential Privacy on Short Term Electric Load Forecasting. - Maximilian Jaritz, Raoul de Charette, Marin Toromanoff, Etienne Perot, Fawzi Nashashibi:
End-to-End Race Driving with Deep Reinforcement Learning. - Ronan Fruit, Matteo Pirotta, Alessandro Lazaric:
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes. - Sonit Singh:
Natural Language Processing for Information Extraction. - Holger Schnädelbach, Tom Lodge, Tim Coughlan, Alex S. Taylor:
Photo Screen: Shaping Perceptions of Residential Communities. - Ákos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann de Oliveira, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Generative models on accelerated neuromorphic hardware. - Sudha Subramani, Manjula O'Connor:
Extracting Actionable Knowledge from Domestic Violence Discourses on Social Media. - Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis:
Quality Diversity Through Surprise. - Christoph Matthies, Ralf Teusner, Guenter Hesse:
Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts. - Kaixin Hu, Peter O'Connor:
Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder. - Songguang Ho, Ramesh Ramasamy Pandi, Sarat Chandra Nagavarapu, Justin Dauwels:
Multi-atomic Annealing Heuristic for Static Dial-a-ride Problem. - Yongchang Hu:
Comments on Cooperative Density Estimation in Random Wireless Ad Hoc Networks. - Enrique Fernández-Macías, Emilia Gómez, José Hernández-Orallo, Bao Sheng Loe, Bertin Martens, Fernando Martínez-Plumed, Songül Tolan:
A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work. - Yuexiang Li, Xinpeng Xie, Linlin Shen, Shaoxiong Liu:
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification. - Cody Scarborough, Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath Jr.:
Beamforming in Millimeter Wave Systems: Prototyping and Measurement Results. - Alexey A. Novikov, David Major, Maria Wimmer, Dimitrios Lenis, Katja Bühler:
Deep Sequential Segmentation of Organs in Volumetric Medical Scans. - Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou:
Tangent Convolutions for Dense Prediction in 3D. - Andre Beckus, Alexandru Tamasan, George K. Atia:
Multi-modal Non-line-of-sight Passive Imaging. - Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn:
A Bayesian Approach to Forced Oscillation Source Location Given Uncertain Generator Parameters. - Lovrenc Svegl, Igor Grabec:
Evolution of natural patterns from random fields. - Antonino Sabetta, Michele Bezzi:
A Practical Approach to the Automatic Classification of Security-Relevant Commits. - Debadri Dutta:
A Review of Different Word Embeddings for Sentiment Classification using Deep Learning. - Kleomenis Katevas, Ioannis Arapakis, Martin Pielot:
Typical Phone Use Habits: Intense Use Does Not Predict Negative Well-Being. - Igor Grabec, Eva Svegl, Mihael Sok:
Development of a sensory-neural network for medical diagnosing. - Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu:
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction. - Yang Hu, Andrea Soltoggio, Russell Lock, Steve Carter:
A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation. - Rami Klaimi, Charbel Abdel Nour, Catherine Douillard, Joumana Farah:
Design of Low-Complexity Convolutional Codes over GF(q). - Shuang Qiu, David Gesbert, Tao Jiang:
Enabling Covariance-Based Feedback in Massive MIMO: A User Classification Approach. - Shabnam Ghaffarzadegan:
Deep Multiple Instance Feature Learning via Variational Autoencoder. - Keke Zhai, Tania Banerjee, David Zwick, Jason Hackl, Sanjay Ranka:
Dynamic Load Balancing for Compressible Multiphase Turbulence. - Peng Sun, Zhongyong Wang, Robert W. Heath Jr., Philip Schniter:
Joint Channel-Estimation/Decoding with Frequency-Selective Channels and Few-Bit ADCs. - Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan:
EPIC: Welfare Maximization under Economically Postulated Independent Cascade Model. - Zhiyuan Zha, Xin Yuan, Tao Yue, Jiaotao Zhou:
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Denoising. - Gihan J. Mendis, Moein Sabounchi, Jin Wei, Rigoberto Roche':
Blockchain as a Service: An Autonomous, Privacy Preserving, Decentralized Architecture for Deep Learning. - Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam:
VLASE: Vehicle Localization by Aggregating Semantic Edges. - Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen:
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data. - Emre Ozfatura, Thomas Rarris, Deniz Gündüz, Özgür Erçetin:
Delay-Aware Coded Caching for Mobile Users. - Yuri Faenza, Gonzalo Muñoz, Sebastian Pokutta:
Limits of Treewidth-based tractability in Optimization. - Issam H. Laradji, Reza Babanezhad:
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning. - Janardhan Kulkarni, Shi Li:
Flow-time Optimization For Concurrent Open-Shop and Precedence Constrained Scheduling Models. - Serhiy O. Semerikov, O. P. Polishchuk:
Methodic of joint using the tools of automation of lexical and parsing analysis in the process of teaching the programming theory of future informatics teachers. - Ali Shahini, Abbas Kiani, Nirwan Ansari:
Energy Efficient Resource Allocation in EH-enabled CR Networks for IoT. - Steven Wei Der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy:
Exploring Scientific Application Performance Using Large Scale Object Storage. - Mohammed G. H. al Zamil, Samer Samarah:
Applications of Data Mining Techniques for Vehicular Ad hoc Networks. - Rabe Arshad, Hesham ElSawy, Lutz Lampe, Md. Jahangir Hossain:
Handover Rate Characterization in 3D Ultra-Dense Heterogeneous Networks. - Benjamin Cabrera, Tobias Heindel, Reiko Heckel, Barbara König:
Updating Probabilistic Knowledge on Condition/Event Nets using Bayesian Networks. - Tugba Erpek, Yalin E. Sagduyu, Yi Shi:
Deep Learning for Launching and Mitigating Wireless Jamming Attacks. - Geoffrey H. Tison, Jeffrey Zhang, Francesca N. Delling, Rahul C. Deo:
Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery. - Nan Yang, Rui Wang, Jörg Stückler, Daniel Cremers:
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. - Graham Cormode, Charlie Dickens, David P. Woodruff:
Leveraging Well-Conditioned Bases: Streaming \& Distributed Summaries in Minkowski p-Norms. - Daniel Kasenberg, Vasanth Sarathy, Thomas Arnold, Matthias Scheutz, Tom Williams:
Quasi-Dilemmas for Artificial Moral Agents. - Hyejin Han, Ricardo G. Sanfelice:
Sufficient Conditions for Temporal Logic Specifications in Hybrid Dynamical Systems. - Ilke Demir, Daniel G. Aliaga:
Guided Proceduralization: Optimizing Geometry Processing and Grammar Extraction for Architectural Models. - Stanislav Fort, Adam Scherlis:
The Goldilocks zone: Towards better understanding of neural network loss landscapes. - Marius Agasse-Duval, Steve Lawford:
Subgraphs and motifs in a dynamic airline network. - Benjamin Eckart, Kihwan Kim, Jan Kautz:
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures.