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ORCID21st ICMLA 2022: Nassau, Bahamas
- M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan:
21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. IEEE 2022, ISBN 978-1-6654-6283-9 - Akhil S. Anand, Jens Erik Kveen, Fares J. Abu-Dakka
, Esten Ingar Grøtli, Jan Tommy Gravdahl:
Addressing Sample Efficiency and Model-bias in Model-based Reinforcement Learning. 1-6 - Mingming Qiu, Elie Najm, Rémi Sharrock, Bruno Traverson:
Reinforcement Learning Based Architectures for Dynamic Generation of Smart Home Services. 7-14 - Nasik Muhammad Nafi, Creighton Glasscock, William H. Hsu:
Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning. 15-22 - Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal:
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions. 23-28 - Jacqueline Höllig, Cedric Kulbach, Steffen Thoma:
TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification. 29-36 - Indrajeet Ghosh, Avijoy Chakma, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Nicholas R. Waytowich:
PerMTL: A Multi-Task Learning Framework for Skilled Human Performance Assessment. 37-44 - Deqing Fu, Bradley J. Nelson:
Topological Regularization for Dense Prediction. 45-52 - Xuke Yan, Linxi Zhang, Bo Liu, Guangzhi Qu:
A Lightweight and Fast Approach for Upper Limb Range of Motion Assessment. 53-60 - Yang Yang, Mizuka Komatsu, Takenao Ohkawa, Kenji Oyama:
Real-Time Cattle Interaction Recognition via Triple-stream Network. 61-68 - Olaoluwa Adigun, Bart Kosko:
Deeper Bidirectional Neural Networks with Generalized Non-Vanishing Hidden Neurons. 69-76 - Sriram Baireddy, Da-Young Lee, Carlos Gongora-Canul, Christian D. Cruz, Edward J. Delp:
Leaf Tar Spot Detection Using RGB Images. 77-82 - Kaihua Liu, Xudong Liu:
Recycling Material Classification using Convolutional Neural Networks. 83-88 - Charles De Trogoff, Rim Hantach, Gisela Lechuga, Philippe Calvez:
Automatic Key Information Extraction from Visually Rich Documents. 89-96 - Yifan Zhao, Xian Yang, Ranga Raju Vatsavai:
Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery. 97-104 - Alejandro Carnero, Cristian Martín, Manuel Díaz:
Structural health and intelligent monitoring of wind turbine blades with a motorized telescope. 105-112 - Jérôme Rutinowski, Christian Pionzewski, Tim Chilla, Christopher Reining, Michael ten Hompel:
Deep Learning Based Re-Identification of Wooden Euro-pallets. 113-117 - Helik Kanti Thacker, Sairam Jujjarapu, Adrita Barari, Damini, Paulami Das, Sudhanshu Gupta, Akhilesh Sudhir Patankar, Keerthi Kiran Jagannathachar, Deokgu Yoon:
A scalable solution to AlphaZero based Redundancy Analysis for semiconductor chips. 119-125 - Hamidreza Mahyar, Peter Tulala, Elahe Ghalebi, Radu Grosu:
DeepWafer: A Generative Wafermap Model with Deep Adversarial Networks. 126-131 - Frederick Mubang, Lawrence O. Hall:
Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models. 132-139 - Md. Riyadh, M. Omair Shafiq:
Towards Emotion Cause Generation in Natural Language Processing using Deep Learning. 140-147 - Jawaher Alghamdi, Yuqing Lin, Suhuai Luo:
Towards Fake News Detection on Social Media. 148-153 - Ana Carolina Rodrigues, Ricardo M. Marcacini:
Sentence Similarity Recognition in Portuguese from Multiple Embedding Models. 154-159 - Ala Alam Falaki, Robin Gras:
A Robust Approach to Fine-tune Pre-trained Transformer-based models for Text Summarization through Latent Space Compression. 160-167 - Akash Kumar Panda, Bart Kosko:
Bayesian Rule Ontologies For XAI Classification and Regression. 168-175 - Joshua Peeples, Alina Zare, Jeffrey Dale, James Keller:
Histogram Layers for Synthetic Aperture Sonar Imagery. 176-182 - Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman:
Kernelization of Tensor Discriminant Analysis with Application to Image Recognition. 183-189 - Feiyang Cai, Zhenkai Zhang, Jie Liu, Xenofon D. Koutsoukos:
A Vision Transformer Architecture for Open Set Recognition. 190-197 - Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Daniel Da Silva, Michael S. F. Kirk:
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory. 198-205 - Anshuman Chhabra, Prasant Mohapatra:
Fair Algorithms for Hierarchical Agglomerative Clustering. 206-211 - Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang:
BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. 212-219 - Saul Fuster, Trygve Eftestøl, Kjersti Engan:
Nested Multiple Instance Learning with Attention Mechanisms. 220-225 - Daniel Ries, Joshua Michalenko, Tyler Ganter, Rashad Imad-Fayez Baiyasi, Jason Adams:
Comparing the quality of neural network uncertainty estimates for classification problems. 226-233 - Md. Masudur Rahman, Yexiang Xue:
Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning. 234-239 - Gautham Senthilnathan:
Mixed Time-Frame Training for Reinforcement Learning. 240-250 - Alexander V. Demin, Denis K. Ponomaryov:
Interpretable Reinforcement Learning with Multilevel Subgoal Discovery. 251-258 - Andrew Tittaferrante, Abdulsalam Yassine:
Benchmarking Offline Reinforcement Learning. 259-263 - Lixing Song, Luke Ferderer, Shaoen Wu:
Safe Reinforcement Learning for LiDAR-based Navigation via Control Barrier Function. 264-269 - Menore Tekeba Mengistu, Getachew Alemu, Pierre Chevaillier, Pierre De Loor:
Balancing Similarity-Contrast in Unsupervised Representation Learning: Evaluation with Reinforcement Learning. 270-277 - Wen-Hao Chiang, George O. Mohler:
Hawkes Process Multi-armed Bandits for Search and Rescue. 278-285 - Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski:
ACGANs Improve Chemical Sensors for Challenging Distributions. 286-293 - Ebelechukwu Nwafor, Habeeb Olufowobi:
CANBERT: A Language-based Intrusion Detection Model for In-vehicle Networks. 294-299 - Imen Chakroun, Geert Vanmeerbeeck, Roel Wuyts, Wilfried Verarcht:
AI privacy preserving robots working in a smart sensor environment. 300-306 - Giorgio Severi, Will Pearce, Alina Oprea:
Bad Citrus: Reducing Adversarial Costs with Model Distances. 307-312 - Kazuki Kawamura, Jun Rekimoto:
DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech. 313-320 - Murtadha D. Hssayeni, Arash Andalib, Rishabh Singh, Diego Pava, Kan Li, Steven Borzak, Robert Chait, Kaustubh Kale:
ECG Fiducial Point Localization Using a Deep Learning Model. 321-328 - Emily R. Bartusiak, Edward J. Delp:
Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario. 329-336 - Pascal Hecker, Arpita Kappattanavar, Maximilian Schmitt, Sidratul Moontaha, Johannes Wagner, Florian Eyben, Björn W. Schuller, Bert Arnrich:
Quantifying Cognitive Load from Voice using Transformer-Based Models and a Cross-Dataset Evaluation. 337-344 - Hao Xin, Michael Yu Zhu:
Score-based Image-to-Image Regression with Synchronized Diffusion. 345-352 - Yue Han, Yang Lei, Viktor Shkolnikov, Daisy Xin, Steven Barcelo, Jan P. Allebach, Edward J. Delp:
Label-Free Mammalian Cell Tracking Enhanced by Precomputed Velocity Fields. 353-360 - Tasin Islam, Alina Dana Miron, Xiaohui Liu, Yongmin Li:
SVTON: Simplified Virtual Try-On. 369-374 - Majid Nikougoftar Nategh, Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila:
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction. 375-381 - Hidetomo Sakaino:
DeepReject and DeepRoad: Road Condition Recognition and Classification Under Adversarial Conditions. 382-389 - Johan Schubert, Ulrika Wickenberg Bolin:
Cluster Management of Scientific Literature in HSTOOL. 390-395 - Abdullah Alsaedi, Stuart Thomason, Floriana Grasso, Phillip Brooker:
Transfer Learning model for Social Emotion Prediction using Writers Emotions in Comments. 396-400 - Peter Belcak, David Hofer, Roger Wattenhofer:
A Neural Model for Regular Grammar Induction. 401-406 - Daniel Bruneß, Matthias Bay, Christian Schulze, Michael Guckert, Mirjam Minor:
An Ontology-based transfer learning method improving classification of medical documents. 407-412 - Kamalakkannan Ravi, Adan Ernesto Vela, Rickard Ewetz:
Classifying the Ideological Orientation of User-Submitted Texts in Social Media. 413-418 - Fatimah Alshamari, Abdou Youssef:
Math Chunking and Function Recognition using Deep Learning. 419-424 - Hanna E. Witzgall:
Extending Rapid Class Augmentation to a YOLOv3 Object Detection Architecture. 425-430 - Junya Saito, Sachihiro Youoku, Ryosuke Kawamura, Akiyoshi Uchida, Kentaro Murase, Xiaoyu Mi:
Uncertainty Prediction for Facial Action Units Recognition under Degraded Conditions. 431-436 - Phillip Czech, Markus Braun, Ulrich Kreßel, Bin Yang:
On-Board Pedestrian Trajectory Prediction Using Behavioral Features. 437-443 - Ashley Dowd, Navid Hashemi Tonekaboni:
Real-Time Facial Emotion Detection Through the Use of Machine Learning and On-Edge Computing. 444-448 - Luigy Machaca, F. Oliver Sumari H., Jose Huaman, Esteban Clua, Joris Guérin:
TrADe Re-ID - Live Person Re-Identification using Tracking and Anomaly Detection. 449-454 - Krish Kabra, Alexander Xiong, Wenbin Li, Minxuan Luo, William Lu, Tianjiao Yu, Jiahui Yu, Dhananjay Singh, Raul Garcia, Maojie Tang, Hank Arnold, Anna Vallery, Richard Gibbons, Arko Barman:
Deep object detection for waterbird monitoring using aerial imagery. 455-460 - Atharva Tendle, Andrew Little, Stephen D. Scott, Mohammad Rashedul Hasan:
Self-Supervised Learning in the Twilight of Noisy Real-World Datasets. 461-464 - Ali Ahmadinia, Jaabaal Shah:
An Edge-based Real-Time Object Detection. 465-470 - Ruchita Mehta, Vasile Palade, Sara Sharifzadeh, Bo Tan, Yordanka Karayaneva:
Continuous Human Activity Recognition using Radar Imagery and Dynamic Time Warping. 471-476 - Anas Gouda, Abraham Ghanem, Christopher Reining:
DoPose-6D dataset for object segmentation and 6D pose estimation. 477-483 - Aditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia:
Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising. 484-489 - Rogelio E. Garcia, Jacqueline Alvarez, Roummel F. Marcia:
Machine Learning for Classifying Images with Motion Blur. 490-494 - AmirHossein Zamani, Amir G. Aghdam, Kamran Ghaffari:
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision. 495-500 - Sara Sharifzadeh:
Spars Kernelized Features for Prediction of Rock's Carbon Capture using 3D X-Ray Images. 501-506 - Sandra Wilfling, Masoud Ebrahimi, Qamar Alfalouji, Gerald Schweiger, Mina Basirat:
Learning Non-linear White-box Predictors: A Use Case in Energy Systems. 507-512 - Adrin Issai Arasu, Manish Modani, Nagabhushana Rao Vadlamani:
Application of Machine Learning Techniques in Temperature Forecast. 513-518 - Abdul Basit Hafeez, Eduardo Alonso, Atif Riaz:
DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation. 519-524 - Kaylee Pham, David Ward, Saulo Rubio, David Shin, Lior Zlotikman, Sergio Ramirez, Tyler Poplawski, Xunfei Jiang:
California Wildfire Prediction using Machine Learning. 525-530 - Susana Lavado, Miguel Mateus, Leid Zejnilovic:
The Performance-Actionability Trade-Off in Retention Prediction at Middle School. 531-536 - Nan Ding, Hélène Urien, Florence Rossant, Jérémie Sublime, Michel Pâques:
Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation. 537-542 - Wiem Safta, Hichem Frigui:
Lung Nodules Identification in CT Scans Using Multiple Instance Learning. 543-548 - Pooja Prajod, Elisabeth André:
On the Generalizability of ECG-based Stress Detection Models. 549-554 - Jennifer Schwabe, Chelsea Hua, Emma M. Allen, Leonard A. Jason, Jacob Furst, Daniela Raicu:
Predicting ME/CFS After Infectious Mononucleosis Using Cytokine Network Correlations. 555-559 - Haozheng Luo, Tianyi Wu, Colin Feiyu Han, Zhijun Yan:
IGN : Implicit Generative Networks. 560-566 - Sara Karimi, Sahar Asadi, Francesco Lorenzo, Amir Hossein Payberah:
CandyRL: A Hybrid Reinforcement Learning Model for Gameplay. 567-572 - Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Marco Fantozzi, Alessandro Marchetti:
Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning? 573-578 - Yuki Miyashita, Toshiharu Sugawara:
Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning. 579-584 - Andrew Tittaferrante, Abdulsalam Yassine:
Hyperparameter Tuning in Offline Reinforcement Learning. 585-590 - Samuel Blad, Martin Längkvist, Franziska Klügl, Amy Loutfi:
Empirical analysis of the convergence of Double DQN in relation to reward sparsity. 591-596 - Michael Eichelbeck, Hannah Markgraf, Matthias Althoff:
Contingency-constrained economic dispatch with safe reinforcement learning. 597-602 - Gabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles:
The impact of low-cost molecular geometry optimization in property prediction via graph neural network. 603-608 - Alexander Hartl, Joachim Fabini, Tanja Zseby:
Separating Flows in Encrypted Tunnel Traffic. 609-616 - Jason Van Tuinen, Aditya Ranganath, Goran Konjevod, Mukesh Singhal, Roummel F. Marcia:
Novel Adversarial Defense Techniques for White-Box Attacks. 617-622 - Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada:
IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge. 623-628 - Nada Abdalla, Damien Forthomme:
Probabilistic Approach for Recommendation Systems. 629-634 - Dirar Sweidan, Ulf Johansson, Anders Gidenstam, Beatrice Alenljung:
Predicting Customer Churn in Retailing. 635-640 - Fadil Santosa, Loren Anderson:
Bayesian Sequential Optimal Experimental Design for Linear Regression with Reinforcement Learning. 641-646 - Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov:
One-Shot Federated Group Collaborative Filtering. 647-652 - Xiaoyu Dong, Shen Shen, Jinkang Jia, Lianzhao Yu, Yifan Wang, Po Zhang:
Behavior Sequence Transformer Applied on SERP Evaluation and Model Interpretation. 653-658 - Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun:
Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. 659-664 - Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci:
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. 665-670 - Lena Sasal, Tanujit Chakraborty, Abdenour Hadid:
W-Transformers: A Wavelet-based Transformer Framework for Univariate Time Series Forecasting. 671-676 - Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Cagri Ozdemir:
Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA. 677-680 - Chenwei Sun, Martin Trat, Janek Bender, Jivka Ovtcharova, George Jeppesen, Jan Bär:
Unsupervised Anomaly Detection and Root Cause Analysis for an Industrial Press Machine based on Skip-Connected Autoencoder. 681-686 - Tao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu:
Individualized Conditioning and Negative Distances for Speaker Separation. 687-692 - Noel Elias:
Audio Classification of Low Feature Spectrograms Utilizing Convolutional Neural Networks. 693-698 - Alaa Nfissi, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks. 699-702 - Kendrick Trinh, Melody Moh, Teng-Sheng Moh:
Adversarial Attacks on Speech Separation Systems. 703-708 - Caroline Svahn, Oleg Sysoev:
CCVAE: A Variational Autoencoder for Handling Censored Covariates. 709-714 - Steven E. Arroyo, Shen-Shyang Ho:
Autoencoder Ensemble Method for Botnets Detection on IOT Devices. 715-720 - Adnan Ben Mansour, Gaia Carenini, Alexandre Duplessis, David Naccache:
Federated Learning Aggregation: New Robust Algorithms with Guarantees. 721-726 - Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu:
Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients. 727-732 - Daniel Lauss, Florian Eibensteiner, Phillip Petz:
A Deep Learning based Hand Gesture Recognition on a Low-power Microcontroller using IMU Sensors. 733-736 - Felippe Schmoeller Roza, Hassan Rasheed, Karsten Roscher, Xiangyu Ning, Stephan Günnemann:
Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning. 737-742 - Yousef AlShehri, Lakshmish Ramaswamy:
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems. 743-747 - Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr:
Deep Learning and Pattern-based Methodology for Multivariable Sensor Data Regression. 748-753 - Hao Niu, Huy Quang Ung, Shinya Wada:
Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors. 754-759 - Sheuli Paul, Michael Sintek, Veton Këpuska, Marius Silaghi, Liam Robertson:
Intent based Multimodal Speech and Gesture Fusion for Human-Robot Communication in Assembly Situation. 760-763