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ORCID19th ICMLA 2020: Miami, FL, USA
- M. Arif Wani, Feng Luo, Xiaolin Andy Li, Dejing Dou, Francesco Bonchi:
19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020. IEEE 2020, ISBN 978-1-7281-8470-8 - Michel Chammas, Abdallah Makhoul, Jacques Demerjian:
Writer identification for historical handwritten documents using a single feature extraction method. 1-6 - Juan Borrego-Carazo, David Castells-Rufas, Jordi Carrabina
, Ernesto Biempica:
Extending SpArSe: Automatic Gesture Recognition Architectures for Embedded Devices. 7-12 - Qian Wang, Neelanjan Bhowmik, Toby P. Breckon:
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery. 13-18 - Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell:
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. 19-24 - Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz:
Knowledge Graph Extraction from Videos. 25-32 - Kentaro Goto, Masato Uchida:
Tsallis Entropy Based Labelling. 33-40 - Jiebo Luo:
Learning with Unpaired Data. 38 - José C. Príncipe:
A Cognitive Architecture for Object Recognition in Video. 39 - Saad Mohamad, Abdelhamid Bouchachia:
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data. 41-48 - John Osorio Ríos, Adrià Armejach, Gulrukh Khattak, Eric Petit, Sofia Vallecorsa, Marc Casas:
Evaluating Mixed-Precision Arithmetic for 3D Generative Adversarial Networks to Simulate High Energy Physics Detectors. 49-56 - Vivek Aswal, Omkar Tupe, Shifa Shaikh, Nadir N. Charniya:
Single Camera Masked Face Identification. 57-60 - Ingrid Nascimento, Pedro Castro, Sofia Klautau, Luan Gonçalves, Carnot Filho, Flávio Brito, Aldebaro Klautau, Silvia Lins:
Public Dataset of Parking Lot Videos for Computational Vision Applied to Surveillance. 61-64 - Xiang Liu, Huyunting Huang, Weitao Tang, Tonglin Zhang, Baijian Yang:
Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos. 65-70 - Nuno Pereira, Luís A. Alexandre:
MaskedFusion: Mask-based 6D Object Pose Estimation. 71-78 - Gábor Balázs, Walter Stechele:
Neural Architecture Search for Automotive Grid Fusion Networks Under Embedded Hardware Constraints. 79-86 - Xian Wang, Lingqiao Liu, Qinfeng Shi:
Harmonic Structure-Based Neural Network Model for Music Pitch Detection. 87-92 - Tim Stadtmann, Cecilia Latotzke, Tobias Gemmeke:
From Quantitative Analysis to Synthesis of Efficient Binary Neural Networks. 93-100 - Shuyue Guan, Murray H. Loew:
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary. 101-106 - Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar:
Neural Data Augmentation Techniques for Time Series Data and its Benefits. 107-114 - Darryl Hond, Hamid Asgari, Daniel Jeffery:
Verifying Artificial Neural Network Classifier Performance Using Dataset Dissimilarity Measures. 115-121 - Santiago Gomez-Rosero, Miriam A. M. Capretz, Syed Mir:
Deep neural network for load forecasting centred on architecture evolution. 122-129 - Zheng Shi, Nur Sila Gulgec, Albert S. Berahas, Shamim N. Pakzad, Martin Takác:
Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations. 130-135 - William Thomson, Neelanjan Bhowmik, Toby P. Breckon:
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection. 136-141 - Timothy Reese, Michael Zhu:
LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification. 142-147 - Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu:
NGM: Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks. 148-152 - Sergei A. Plotnikov, Alexander L. Fradkov, Denis N. Komarov:
Adaptive Algorithm for Estimation of Model of Neural Activity in Brain-Computer Interfaces. 153-156 - Tasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis:
Applying Gradient Boosting Trees and Stochastic Leaf Evaluation to MCTS on Hearthstone. 157-162 - Payal Mitra, Thom Pijnenburg, Viachaslau Sazonau:
Discovering Gene-Disease Associations with Biomedical Word Embeddings. 163-170 - Shon Mendelson, Boaz Lerner:
Online Cluster Drift Detection for Novelty Detection in Data Streams. 171-178 - Arun V. Sathanur, Nathan A. Baker:
A clustering-based biased Monte Carlo approach to protein titration curve prediction. 179-184 - Rakesh Kumar Yadav, Abhishek, Sourav S, Shekhar Verma:
GCN with Clustering Coefficients and Attention Module. 185-190 - Sayeed Shafayet Chowdhury, Kazi Mejbaul Islam, Rouhan Noor:
Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial Defense. 191-194 - Md. Aminur Rab Ratul, Maryam Tavakol Elahi, Kun Yuan, Won-Sook Lee:
RAM-Net: A Residual Attention MobileNet to Detect COVID-19 Cases from Chest X-Ray Images. 195-200 - Alba Sandyra Bezerra Lopes, Anne Magály de Paula Canuto, Monica Magalhães Pereira:
Regression Ensembles for Fast Design Space Exploration of Heterogeneous Hardware Designs. 201-204 - Xiao Wang, Saasha Nair, Matthias Althoff:
Falsification-Based Robust Adversarial Reinforcement Learning. 205-212 - Osonde A. Osoba, Raffaele Vardavas, Justin Grana, Rushil Zutshi, Amber Jaycocks:
Modeling Agent Behaviors for Policy Analysis via Reinforcement Learning. 213-219 - Stefano De Blasi, Alexander Gepperth:
SASBO: Self-Adapting Safe Bayesian Optimization. 220-225 - Bassel Ali, Koichi Moriyama, Masayuki Numao, Ken-ichi Fukui:
Reinforcement Learning based Evolutionary Metric Filtering for High Dimensional Problems. 226-233 - Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink:
Optimizing CNN using Fast Fourier Transformation for Object Recognition. 234-239 - Rodrigo Araujo Lima Torres, Marcelo Ladeira:
A proposal for online analysis and identification of fraudulent financial transactions. 240-245 - Ishani Chakraborty:
Bayesian Sampler: Fairness in Sampling. 246-251 - Debzani Deb, Mina M. Guirguis:
Use of Auxiliary Classifier Generative Adversarial Network in Touchstroke Authentication. 252-257 - Shanta Chowdhury, Xishuang Dong, Oscar A. Solis, Lijun Qian, Xiangfang Li:
Cell Type Identification from Single-Cell Transcriptomic Data via Gene Embedding. 258-263 - Jorge Castro, Roberto Vargas-Masís, Danny Alfaro Rojas:
Deep Multiple Instance Learning Ensemble for the Acoustic Detection of Tropical Birds. 264-269 - Edouard Pineau, Sébastien Razakarivony, Thomas Bonald:
Unsupervised ageing detection of mechanical systems on a causality graph. 270-277 - Nupur Giri, Richard Joseph, Sanika Chavan, Raghav Heda, Reema Israni, Ritika Sethiya:
AI-based prediction for early detection of Tuberculosis in India based on environmental factors. 278-285 - Ryan Omidi, Ali Moghimi, Alireza Pourreza, Mohamed El-Hadedy, Anas Salah Eddin:
Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves. 286-293 - Manuel Ladron de Guevara, Christopher George, Akshat Gupta, Daragh Byrne, Ramesh Krishnamurti:
Multimodal Word Sense Disambiguation in Creative Practice. 294-301 - M. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner:
Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. 302-307 - Mark Lennox, Neil Robertson, Barry Devereux:
Deep Metric Learning for Proteomics. 308-313 - Anna Nikiforovskaya, Nikolai Kapralov, Anna Vlasova, Oleg Shpynov, Aleksei Shpilman:
Automatic generation of reviews of scientific papers. 314-319 - Thanh-Nam Doan, Shaghayegh Sahebi:
TransCrossCF: Transition-based Cross-Domain Collaborative Filtering. 320-327 - Raviteja Vangara, Erik Skau, Gopinath Chennupati, Hristo N. Djidjev, Thomas Tierney, James P. Smith, Manish Bhattarai, Valentin G. Stanev, Boian S. Alexandrov:
Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling. 328-335 - Koen Weterings, Shir-Lee Kimelman, Stefano Bromuri, Marko C. J. D. van Eekelen:
Interpreting Attention Models: LSTM vs. CNN : A case study on customer activation. 336-343 - Andrey Sapegin, Christoph Meinel:
K-metamodes: frequency-and ensemble-based distributed k-modes clustering for security analytics. 344-351 - Faranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears:
Linguistic Features for Detecting Fake Reviews. 352-359 - Mehadi Hassen, Philip K. Chan:
Unsupervised Open Set Recognition using Adversarial Autoencoders. 360-365 - Hamed Yousefi, Farnaz Mohammadi, Niloufar Mirian, Navid Amini:
Tuberculosis Bacilli Identification: A Novel Feature Extraction Approach via Statistical Shape and Color Models. 366-371 - Luisa Velasco, Evan McClellan, Nobuo Sato, Pawel Ambrozewicz, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Yasir Alanazi, Yaohang Li:
cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network. 372-375 - Danish Syed, Naman Gandhi, Arushi Arora, Nilesh Kadam:
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection. 376-383 - Yingnan Liu, Randy Clinton Paffenroth:
Ensemble CNN in Transform Domains for Image Super-resolution from Small Data Sets. 384-391 - Ziyang Tang, Xiang Liu, Baijian Yang:
PENet: Object Detection Using Points Estimation in High Definition Aerial Images. 392-398 - Mateus Curcino de Lima, Maria Camila Nardini Barioni, Elaine R. Faria, Humberto Luiz Razente:
EVISClass: a new evaluation method for image data stream classifiers. 399-406 - Hao Xin, Michael Yu Zhu:
Conditional Score Matching for Image to Image Regression. 407-414 - Gabriel Castaneda, Paul Morris, Taghi M. Khoshgoftaar:
Evaluating The Number of Trainable Parameters on Deep Maxout and LReLU Networks for Visual Recognition. 415-421 - Ranjana Koshy, Ausif Mahmood:
Enhanced Anisotropic Diffusion-based CNN-LSTM Architecture for Video Face Liveness Detection. 422-425 - Oskar Taubert, Markus Götz, Alexander Schug, Achim Streit:
Loss Scheduling for Class-Imbalanced Image Segmentation Problems. 426-431 - Alexander Naumann, Laura Dörr, Niels Ole Salscheider, Kai Furmans:
Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection. 432-437 - Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar:
Deep Learning Based Covert Attack Identification for Industrial Control Systems. 438-445 - Shih-Lun Wu, Hsiao-Yen Tung, Yu-Lun Hsu:
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights. 446-453 - Deepanshi Seth, Sharanya Eswaran, Tridib Mukherjee, Mridul Sachdeva:
A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming. 454-459 - Hanna E. Witzgall:
Rapid Class Augmentation For Continuous Deep Learning Applications. 460-466 - Gautam Raj Mode, Khaza Anuarul Hoque:
Crafting Adversarial Examples for Deep Learning Based Prognostics. 467-472 - Truong Vinh Truong Duy, Naotake Natori:
Efficient Defect Detection from Consecutive Monocular Images by Deep Learning. 473-478 - Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima:
Theoretical Analysis of the Advantage of Deepening Neural Networks. 479-484 - Arooshi Taneja, Yashvi Gulati, Tushar Chugh, Pawan Joshi, Narina Thakur:
Heart Audio Classification Using Deep Learning. 485-488 - Fahad Al-homayani, Mohammad H. Mahoor:
Deep Learning-based Symbolic Indoor Positioning using the Serving eNodeB. 489-494 - Walter D. Bennette, Sally Dufek, Karsten Maurer, Sean Sisti, Bunyod Tusmatov:
Generalized Adversarial Distances to Efficiently Discover Classifier Errors. 495-502 - Topon Kumar Paul, Takeichiro Nishikawa, Shigeru Maya, Akihiro Itakura, Toshihide Kawachi, Akira Ogawa, Hiroshi Yokota:
Segmentation of Multi-State Compound Waveform and Extraction of Features for Anomaly Detection. 503-510 - Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Lydia Morawiec:
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction. 511-518 - Ioannis Kansizoglou, Nicholas Santavas, Loukas Bampis, Antonios Gasteratos:
HASeparator: Hyperplane-Assisted Softmax. 519-526 - Nitish Bahadur, Randy C. Paffenroth:
Dimension Estimation Using Autoencoders with Applications to Financial Market Analysis. 527-534 - Rômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João Carlos Xavier Jr.:
An Investigation of Dynamic Feature Selection Methods Applied to Classifier Ensembles. 535-538 - Ben Hadad, Boaz Lerner:
Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALS. 539-544 - Baris Bayram, Bilge Köroglu, Mehmet Gönen:
Improving Fraud Detection and Concept Drift Adaptation in Credit Card Transactions Using Incremental Gradient Boosting Trees. 545-550 - Nat Pavasant, Masayuki Numao, Ken-ichi Fukui:
Spatio-Temporal Change Detection with Granger Causality Based Cluster Sequence Mining. 551-558 - Mayamin Hamid Raha, Tonmoay Deb, Mahieyin Rahmun, Shahriar Ali Bijoy, Adnan Firoze, Mohammad Ashrafuzzaman Khan:
CAE: Towards Crowd Anarchism Exploration. 559-564 - Sebastian Wankerl, Gerhard Götz, Andreas Hotho:
f2tag - Can Tags be Predicted Using Formulas? 565-571 - John T. Hancock, Taghi M. Khoshgoftaar:
Performance of CatBoost and XGBoost in Medicare Fraud Detection. 572-579 - Linchen Qian, Jiasong Chen, Timur Urakov, Weiyong Gu, Liang Liang:
CQ-VAE: Coordinate Quantized VAE for Uncertainty Estimation with Application to Disk Shape Analysis from Lumbar Spine MRI Images. 580-585 - Antonio Carlos Falcão Petri, Diego Furtado Silva:
Towards logical association rule mining on ontology-based semantic trajectories. 586-591 - Ranjani Murali:
Analysis of COVID-19 in different countries using Wigner energy distribution and clustering. 592-597 - Stijn de Waele:
Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential Equations. 598-603 - Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks. 604-611 - Christopher Mayershofer, Dimitrij-Marian Holm, Benjamin Molter, Johannes Fottner:
LOCO: Logistics Objects in Context. 612-617 - Weidong Zou, Yuanqing Xia, Weipeng Cao:
Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation. 618-625 - Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Diego Furtado Silva, Helena de Medeiros Caseli:
Benchmarking Machine Learning Solutions in Production. 626-633 - Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov:
Forecasting Rogue Waves in Oceanic Waters. 634-640 - Divyanshu Daiya:
Combining Temporal Event Relations and Pre-Trained Language Models for Text Summarization. 641-646 - Christopher Mayershofer, Ala Hammami, Johannes Fottner:
Multi-Class Object Detection Using 2D Poses. 647-652 - Jakim Berndsen, Barry Smyth, Aonghus Lawlor:
A Collaborative Filtering Approach to Successfully Completing The Marathon. 653-658 - Raven Reisch, Tobias Hauser, Benjamin Lutz, Matteo Pantano, Tobias Kamps, Alois C. Knoll:
Distance-Based Multivariate Anomaly Detection in Wire Arc Additive Manufacturing. 659-664 - Jesse Roberts, Douglas H. Fisher:
pReview: The Artificially Intelligent Conference Reviewer. 665-668 - Nishant Vishwamitra, Ruijia (Roger) Hu, Feng Luo, Long Cheng, Matthew Costello, Yin Yang:
On Analyzing COVID-19-related Hate Speech Using BERT Attention. 669-676 - Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak:
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. 677-684 - Joris Guérin, Anne Magály de Paula Canuto, Luiz Marcos Garcia Gonçalves:
Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering. 685-692 - Teguh Budianto, Tomohiro Nakai, Kazunori Imoto, Takahiro Takimoto, Kosuke Haruki:
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection. 693-700 - Amirali Darvishzadeh, Thomas F. Stahovich:
Finding and Segmenting Mathematical Equations in Students' Online Handwritten Assignments. 701-708 - Rahul Mishra, Piyush Yadav, Rémi Calizzano, Markus Leippold:
MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching. 709-716 - Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody:
Lower Bounds for Adversarially Robust PAC Learning under Evasion and Hybrid Attacks. 717-722 - Archika Sharma, M. Omair Shafiq:
Predicting purchase probability of retail items using an ensemble learning approach and historical data. 723-728 - Yuwei Sun, Hiroshi Esaki, Hideya Ochiai:
Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption. 729-734 - Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan:
Federated Learning of Neural Network Models with Heterogeneous Structures. 735-740 - Uche Onyekpe, Vasile Palade, Stratis Kanarachos, Stavros-Richard G. Christopoulos:
Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments. 741-746 - Wen Ge, Emmanuel Agu:
CRUFT: Context Recognition under Uncertainty using Fusion and Temporal Learning. 747-752 - Ryuichi Ueno, Dragos Calitoiu:
Forecasting Attrition from the Canadian Armed Forces using Multivariate LSTM. 753-758