Table of Contents

• Writer identification for historical handwritten documents using a single feature extraction methodMichel Chammas, Abdallah Makhoul, Jacques Demerjian. 1-6 [doi]
• Extending SpArSe: Automatic Gesture Recognition Architectures for Embedded DevicesJuan Borrego-Carazo, David Castells-Rufas, Jordi Carrabina, Ernesto Biempica. 7-12 [doi]
• Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening ImageryQian Wang, Neelanjan Bhowmik, Toby P. Breckon. 13-18 [doi]
• Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear TimeIddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell. 19-24 [doi]
• Knowledge Graph Extraction from VideosLouis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz. 25-32 [doi]
• Tsallis Entropy Based LabellingKentaro Goto, Masato Uchida. 33-40 [doi]
• Learning with Unpaired DataJiebo Luo. 38 [doi]
• A Cognitive Architecture for Object Recognition in VideoJosé C. Príncipe. 39 [doi]
• Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage DataSaad Mohamad, Abdelhamid Bouchachia. 41-48 [doi]
• Evaluating Mixed-Precision Arithmetic for 3D Generative Adversarial Networks to Simulate High Energy Physics DetectorsJohn Osorio Ríos, Adrià Armejach, Gulrukh Khattak, Eric Petit, Sofia Vallecorsa, Marc Casas. 49-56 [doi]
• Single Camera Masked Face IdentificationVivek Aswal, Omkar Tupe, Shifa Shaikh, Nadir N. Charniya. 57-60 [doi]
• Public Dataset of Parking Lot Videos for Computational Vision Applied to SurveillanceIngrid Nascimento, Pedro Castro, Sofia Klautau, Luan Gonçalves, Carnot Filho, Flávio Brito, Aldebaro Klautau, Silvia Lins. 61-64 [doi]
• Low-Rank Sparse Tensor Approximations for Large High-Resolution VideosXiang Liu, Huyunting Huang, Weitao Tang, Tonglin Zhang, Baijian Yang. 65-70 [doi]
• MaskedFusion: Mask-based 6D Object Pose EstimationNuno Pereira, Luís A. Alexandre. 71-78 [doi]
• Neural Architecture Search for Automotive Grid Fusion Networks Under Embedded Hardware ConstraintsGábor Balázs, Walter Stechele. 79-86 [doi]
• Harmonic Structure-Based Neural Network Model for Music Pitch DetectionXian Wang, Lingqiao Liu, Qinfeng Shi. 87-92 [doi]
• From Quantitative Analysis to Synthesis of Efficient Binary Neural NetworksTim Stadtmann, Cecilia Latotzke, Tobias Gemmeke. 93-100 [doi]
• Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision BoundaryShuyue Guan, Murray H. Loew. 101-106 [doi]
• Neural Data Augmentation Techniques for Time Series Data and its BenefitsAnindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar. 107-114 [doi]
• Verifying Artificial Neural Network Classifier Performance Using Dataset Dissimilarity MeasuresDarryl Hond, Hamid Asgari, Daniel Jeffery. 115-121 [doi]
• Deep neural network for load forecasting centred on architecture evolutionSantiago Gomez-Rosero, Miriam A. M. Capretz, Syed Mir. 122-129 [doi]
• Finite Difference Neural Networks: Fast Prediction of Partial Differential EquationsZheng Shi, Nur Sila Gulgec, Albert S. Berahas, Shamim N. Pakzad, Martin Takác. 130-135 [doi]
• Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionWilliam Thomson, Neelanjan Bhowmik, Toby P. Breckon. 136-141 [doi]
• LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class ClassificationTimothy Reese, Michael Zhu. 142-147 [doi]
• NGM: Neural Gaussian Mirror for Controlled Feature Selection in Neural NetworksXin-xing, Yu Gui, Chenguang Dai, Jun S. Liu. 148-152 [doi]
• Adaptive Algorithm for Estimation of Model of Neural Activity in Brain-Computer InterfacesSergei A. Plotnikov, Alexander L. Fradkov, Denis N. Komarov. 153-156 [doi]
• Applying Gradient Boosting Trees and Stochastic Leaf Evaluation to MCTS on HearthstoneTasos Papagiannis, Georgios Alexandridis, Andreas Stafylopatis. 157-162 [doi]
• Discovering Gene-Disease Associations with Biomedical Word EmbeddingsPayal Mitra, Thom Pijnenburg, Viachaslau Sazonau. 163-170 [doi]
• Online Cluster Drift Detection for Novelty Detection in Data StreamsShon Mendelson, Boaz Lerner. 171-178 [doi]
• A clustering-based biased Monte Carlo approach to protein titration curve predictionArun V. Sathanur, Nathan A. Baker. 179-184 [doi]
• GCN with Clustering Coefficients and Attention ModuleRakesh Kumar Yadav, Abhishek 0003, Sourav S, Shekhar Verma. 185-190 [doi]
• Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial DefenseSayeed Shafayet Chowdhury, Kazi Mejbaul Islam, Rouhan Noor. 191-194 [doi]
• RAM-Net: A Residual Attention MobileNet to Detect COVID-19 Cases from Chest X-Ray ImagesMd. Aminur Rab Ratul, Maryam Tavakol Elahi, Kun Yuan, Won-Sook Lee. 195-200 [doi]
• Regression Ensembles for Fast Design Space Exploration of Heterogeneous Hardware DesignsAlba Sandyra Bezerra Lopes, Anne Magály de Paula Canuto, Monica Magalhães Pereira. 201-204 [doi]
• Falsification-Based Robust Adversarial Reinforcement LearningXiao Wang, Saasha Nair, Matthias Althoff. 205-212 [doi]
• Modeling Agent Behaviors for Policy Analysis via Reinforcement LearningOsonde A. Osoba, Raffaele Vardavas, Justin Grana, Rushil Zutshi, Amber Jaycocks. 213-219 [doi]
• SASBO: Self-Adapting Safe Bayesian OptimizationStefano De Blasi, Alexander Gepperth. 220-225 [doi]
• Reinforcement Learning based Evolutionary Metric Filtering for High Dimensional ProblemsBassel Ali, Koichi Moriyama, Masayuki Numao, Ken-ichi Fukui. 226-233 [doi]
• Optimizing CNN using Fast Fourier Transformation for Object RecognitionVarsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink. 234-239 [doi]
• A proposal for online analysis and identification of fraudulent financial transactionsRodrigo Araujo Lima Torres, Marcelo Ladeira. 240-245 [doi]
• Bayesian Sampler: Fairness in SamplingIshani Chakraborty. 246-251 [doi]
• Use of Auxiliary Classifier Generative Adversarial Network in Touchstroke AuthenticationDebzani Deb, Mina M. Guirguis. 252-257 [doi]
• Cell Type Identification from Single-Cell Transcriptomic Data via Gene EmbeddingShanta Chowdhury, Xishuang Dong, Oscar A. Solis, Lijun Qian, Xiangfang Li. 258-263 [doi]
• Deep Multiple Instance Learning Ensemble for the Acoustic Detection of Tropical BirdsJorge Castro, Roberto Vargas-Masís, Danny Alfaro Rojas. 264-269 [doi]
• Unsupervised ageing detection of mechanical systems on a causality graphEdouard Pineau, Sébastien Razakarivony, Thomas Bonald. 270-277 [doi]
• AI-based prediction for early detection of Tuberculosis in India based on environmental factorsNupur Giri, Richard Joseph, Sanika Chavan, Raghav Heda, Reema Israni, Ritika Sethiya. 278-285 [doi]
• Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape LeavesRyan Omidi, Ali Moghimi, Alireza Pourreza, Mohamed El-Hadedy, Anas Salah Eddin. 286-293 [doi]
• Multimodal Word Sense Disambiguation in Creative PracticeManuel Ladron de Guevara, Christopher George, Akshat Gupta, Daragh Byrne, Ramesh Krishnamurti. 294-301 [doi]
• Topological Data Analysis to Engineer Features from Audio Signals for Depression DetectionM. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner. 302-307 [doi]
• Deep Metric Learning for ProteomicsMark Lennox, Neil Robertson, Barry Devereux. 308-313 [doi]
• Automatic generation of reviews of scientific papersAnna Nikiforovskaya, Nikolai Kapralov, Anna Vlasova, Oleg Shpynov, Aleksei Shpilman. 314-319 [doi]
• TransCrossCF: Transition-based Cross-Domain Collaborative FilteringThanh-Nam Doan, Shaghayegh Sahebi. 320-327 [doi]
• Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic ModelingRaviteja Vangara, Erik Skau, Gopinath Chennupati, Hristo Djidjev, Thomas Tierney, James P. Smith, Manish Bhattarai, Valentin G. Stanev, Boian S. Alexandrov. 328-335 [doi]
• Interpreting Attention Models: LSTM vs. CNN : A case study on customer activationKoen Weterings, Shir-Lee Kimelman, Stefano Bromuri, Marko C. J. D. van Eekelen. 336-343 [doi]
• K-metamodes: frequency-and ensemble-based distributed k-modes clustering for security analyticsAndrey Sapegin, Christoph Meinel. 344-351 [doi]
• Linguistic Features for Detecting Fake ReviewsFaranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, Keith S. Jones, David R. W. Sears. 352-359 [doi]
• Unsupervised Open Set Recognition using Adversarial AutoencodersMehadi Hassen, Philip K. Chan. 360-365 [doi]
• Tuberculosis Bacilli Identification: A Novel Feature Extraction Approach via Statistical Shape and Color ModelsHamed Yousefi, Farnaz Mohammadi, Niloufar Mirian, Navid Amini. 366-371 [doi]
• cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial NetworkLuisa Velasco, Evan McClellan, Nobuo Sato, Pawel Ambrozewicz, Tianbo Liu 0004, W. Melnitchouk, Michelle P. Kuchera, Yasir Alanazi, Yaohang Li. 372-375 [doi]
• DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detectionDanish Syed, Naman Gandhi, Arushi Arora, Nilesh Kadam. 376-383 [doi]
• Ensemble CNN in Transform Domains for Image Super-resolution from Small Data SetsYingnan Liu, Randy Clinton Paffenroth. 384-391 [doi]
• PENet: Object Detection Using Points Estimation in High Definition Aerial ImagesZiyang Tang, Xiang Liu, Baijian Yang. 392-398 [doi]
• EVISClass: a new evaluation method for image data stream classifiersMateus C. de Lima, Maria Camila Nardini Barioni, Elaine R. Faria, Humberto Luiz Razente. 399-406 [doi]
• Conditional Score Matching for Image to Image RegressionHao Xin, Michael Yu Zhu. 407-414 [doi]
• Evaluating The Number of Trainable Parameters on Deep Maxout and LReLU Networks for Visual RecognitionGabriel Castaneda, Paul Morris, Taghi M. Khoshgoftaar. 415-421 [doi]
• Enhanced Anisotropic Diffusion-based CNN-LSTM Architecture for Video Face Liveness DetectionRanjana Koshy, Ausif Mahmood. 422-425 [doi]
• Loss Scheduling for Class-Imbalanced Image Segmentation ProblemsOskar Taubert, Markus Götz, Alexander Schug, Achim Streit. 426-431 [doi]
• Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge DetectionAlexander Naumann, Laura Dörr, Niels Ole Salscheider, Kai Furmans. 432-437 [doi]
• Deep Learning Based Covert Attack Identification for Industrial Control SystemsDan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar. 438-445 [doi]
• Deep Learning for Automatic Quality Grading of Mangoes: Methods and InsightsShih-Lun Wu, Hsiao-Yen Tung, Yu-Lun Hsu. 446-453 [doi]
• A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash GamingDeepanshi Seth, Sharanya Eswaran, Tridib Mukherjee, Mridul Sachdeva. 454-459 [doi]
• Rapid Class Augmentation For Continuous Deep Learning ApplicationsHanna E. Witzgall. 460-466 [doi]
• Crafting Adversarial Examples for Deep Learning Based PrognosticsGautam Raj Mode, Khaza Anuarul Hoque. 467-472 [doi]
• Efficient Defect Detection from Consecutive Monocular Images by Deep LearningTruong Vinh Truong Duy, Naotake Natori. 473-478 [doi]
• Theoretical Analysis of the Advantage of Deepening Neural NetworksYasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima. 479-484 [doi]
• Heart Audio Classification Using Deep LearningArooshi Taneja, Yashvi Gulati, Tushar Chugh, Pawan Joshi, Narina Thakur. 485-488 [doi]
• Deep Learning-based Symbolic Indoor Positioning using the Serving eNodeBFahad Al-homayani, Mohammad Mahoor. 489-494 [doi]
• Generalized Adversarial Distances to Efficiently Discover Classifier ErrorsWalter D. Bennette, Sally Dufek, Karsten Maurer, Sean Sisti, Bunyod Tusmatov. 495-502 [doi]
• Segmentation of Multi-State Compound Waveform and Extraction of Features for Anomaly DetectionTopon Paul, Takeichiro Nishikawa, Shigeru Maya, Akihiro Itakura, Toshihide Kawachi, Akira Ogawa, Hiroshi Yokota. 503-510 [doi]
• Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response PredictionFarhad Pourkamali Anaraki, Mohammad Amin Hariri-Ardebili, Lydia Morawiec. 511-518 [doi]
• HASeparator: Hyperplane-Assisted SoftmaxIoannis Kansizoglou, Nicholas Santavas, Loukas Bampis, Antonios Gasteratos. 519-526 [doi]
• Dimension Estimation Using Autoencoders with Applications to Financial Market AnalysisNitish Bahadur, Randy C. Paffenroth. 527-534 [doi]
• An Investigation of Dynamic Feature Selection Methods Applied to Classifier EnsemblesRômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João Carlos Xavier Jr.. 535-538 [doi]
• Domain adaptation from clinical trials data to the tertiary care clinic - Application to ALSBen Hadad, Boaz Lerner. 539-544 [doi]
• Improving Fraud Detection and Concept Drift Adaptation in Credit Card Transactions Using Incremental Gradient Boosting TreesBaris Bayram, Bilge Köroglu, Mehmet Gönen. 545-550 [doi]
• Spatio-Temporal Change Detection with Granger Causality Based Cluster Sequence MiningNat Pavasant, Masayuki Numao, Ken-ichi Fukui. 551-558 [doi]
• CAE: Towards Crowd Anarchism ExplorationMayamin Hamid Raha, Tonmoay Deb, Mahieyin Rahmun, Shahriar Ali Bijoy, Adnan Firoze, Mohammad Ashrafuzzaman Khan. 559-564 [doi]
• f2tag - Can Tags be Predicted Using Formulas?Sebastian Wankerl, Gerhard Götz, Andreas Hotho. 565-571 [doi]
• Performance of CatBoost and XGBoost in Medicare Fraud DetectionJohn T. Hancock, Taghi M. Khoshgoftaar. 572-579 [doi]
• CQ-VAE: Coordinate Quantized VAE for Uncertainty Estimation with Application to Disk Shape Analysis from Lumbar Spine MRI ImagesLinchen Qian, Jiasong Chen, Timur Urakov, Weiyong Gu, Liang Liang. 580-585 [doi]
• Towards logical association rule mining on ontology-based semantic trajectoriesAntonio Carlos Falcão Petri, Diego Furtado Silva. 586-591 [doi]
• Analysis of COVID-19 in different countries using Wigner energy distribution and clusteringRanjani Murali. 592-597 [doi]
• Accurate Characterization of Non-Uniformly Sampled Time Series using Stochastic Differential EquationsStijn de Waele. 598-603 [doi]
• HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel AttacksHan Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun. 604-611 [doi]
• LOCO: Logistics Objects in ContextChristopher Mayershofer, Dimitrij-Marian Holm, Benjamin Molter, Johannes Fottner. 612-617 [doi]
• Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment EstimationWeidong Zou, Yuanqing Xia, Weipeng Cao. 618-625 [doi]
• Benchmarking Machine Learning Solutions in ProductionLucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Lucas Nildaimon dos Santos Silva, Daniel Lucrédio, Diego Furtado Silva, Helena de Medeiros Caseli. 626-633 [doi]
• Forecasting Rogue Waves in Oceanic WatersPujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov. 634-640 [doi]
• Combining Temporal Event Relations and Pre-Trained Language Models for Text SummarizationDivyanshu Daiya. 641-646 [doi]
• Multi-Class Object Detection Using 2D PosesChristopher Mayershofer, Ala Hammami, Johannes Fottner. 647-652 [doi]
• A Collaborative Filtering Approach to Successfully Completing The MarathonJakim Berndsen, Barry Smyth, Aonghus Lawlor. 653-658 [doi]
• Distance-Based Multivariate Anomaly Detection in Wire Arc Additive ManufacturingRaven Reisch, Tobias Hauser, Benjamin Lutz, Matteo Pantano, Tobias Kamps, Alois Knoll. 659-664 [doi]
• pReview: The Artificially Intelligent Conference ReviewerJesse Roberts, Douglas H. Fisher. 665-668 [doi]
• On Analyzing COVID-19-related Hate Speech Using BERT AttentionNishant Vishwamitra, Ruijia Roger Hu, Feng Luo 0001, Long Cheng, Matthew Costello, Yin Yang 0002. 669-676 [doi]
• Real-World Multi-Domain Data Applications for Generalizations to Clinical SettingsNooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak. 677-684 [doi]
• Robust Detection of Objects under Periodic Motion with Gaussian Process FilteringJoris Guérin, Anne Magály de Paula Canuto, Luiz Marcos Garcia Gonçalves. 685-692 [doi]
• Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly DetectionTeguh Budianto, Tomohiro Nakai, Kazunori Imoto, Takahiro Takimoto, Kosuke Haruki. 693-700 [doi]
• Finding and Segmenting Mathematical Equations in Students' Online Handwritten AssignmentsAmirali Darvishzadeh, Thomas F. Stahovich. 701-708 [doi]
• MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic MatchingRahul Mishra, Piyush Yadav, Remi Calizzano, Markus Leippold. 709-716 [doi]
• Lower Bounds for Adversarially Robust PAC Learning under Evasion and Hybrid AttacksDimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody. 717-722 [doi]
• Predicting purchase probability of retail items using an ensemble learning approach and historical dataArchika Sharma, M. Omair Shafiq. 723-728 [doi]
• Blockchain-Based Federated Learning Against End-Point Adversarial Data CorruptionYuwei Sun, Hiroshi Esaki, Hideya Ochiai. 729-734 [doi]
• Federated Learning of Neural Network Models with Heterogeneous StructuresKundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan. 735-740 [doi]
• Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived EnvironmentsUche Onyekpe, Vasile Palade, Stratis Kanarachos, Stavros-Richard G. Christopoulos. 741-746 [doi]
• CRUFT: Context Recognition under Uncertainty using Fusion and Temporal LearningWen-ge, Emmanuel Agu. 747-752 [doi]
• Forecasting Attrition from the Canadian Armed Forces using Multivariate LSTMRyuichi Ueno, Dragos Calitoiu. 753-758 [doi]
• Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm BirthShi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli. 759-764 [doi]
• N-BEATS-RNN: deep learning for time series forecastingAttilio Sbrana, André Luis Debiaso Rossi, Murilo Coelho Naldi. 765-768 [doi]
• Partly Supervised Multi-Task LearningAbdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos. 769-774 [doi]
• Towards Machine Learning Explainability in Text Classification for Fake News DetectionLukas Kurasinski, Radu-Casian Mihailescu. 775-781 [doi]
• DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled LearningDmitry Ivanov. 782-790 [doi]
• Audio-based Depression Screening using Sliding Window Sub-clip PoolingErmal Toto, M. L. Tlachac, Francis Lee Stevens, Elke A. Rundensteiner. 791-796 [doi]
• Using Text Analytics on Reflective Journaling to Identify Cultural Capitals for STEM StudentsKaruna Nayak, Shailesh Krishna, Khanh Tran, Marissa Harris, Ana Maria Barrera, Kim Coble, Anagha Kulkarni 0001. 797-804 [doi]
• Application of Machine Learning to Gasoline Direct Injection Systems: Towards a Data-Driven DevelopmentMassimiliano Botticelli, Robin Hellmann, Paul Jochmann, Karl Georg Stapf, Erik Schünemann. 805-810 [doi]
• Resource Management in Cloud Computing Using Machine Learning: A SurveySepideh Goodarzy, Maziyar Nazari, Richard Han, Eric Keller, Eric Rozner. 811-816 [doi]
• Machine Learning Fairness in Justice Systems: Base Rates, False Positives, and False NegativesJesse Russell. 817-820 [doi]
• Pixel-Level Feature Space Modeling and Brain Tumor Detection Using Machine LearningRitu Joshi, Shan Suthaharan. 821-826 [doi]
• A Methodology for Estimating Hospital Intensive Care Unit Length of Stay Using Novel Machine Learning ToolsRoberto Williams Batista, Reinaldo Sanchez-Arias. 827-832 [doi]
• Districts by Demographics: Predicting U.S. House of Representative Elections using Machine Learning and Demographic DataBritt Richardson, Dean F. Hougen. 833-838 [doi]
• Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable LengthLinhai Ma, Liang Liang. 839-846 [doi]
• Accelerated Deep Learning on HPCC SystemsRobert K. L. Kennedy, Taghi M. Khoshgoftaar. 847-852 [doi]
• Detection of Reckless Driving using Deep LearningArun Chauhan 0002, Shobhan Kumar, Lakshman Mahto, Jagadish D. N.. 853-858 [doi]
• Deep Learning based Time Series ForecastingKushagra Agarwal, Lalasa Dheekollu, Gaurav Dhama, Ankur Arora, Siddhartha Asthana, Tanmoy Bhowmik. 859-864 [doi]
• DEAL: Deep Evidential Active Learning for Image ClassificationPatrick Hemmer, Niklas Kühl, Jakob Schöffer. 865-870 [doi]
• Resource-aware On-device Deep Learning for Supermarket Hazard DetectionM. G. Sarwar Murshed, James J. Carroll, Nazar Khan, Faraz Hussain 0001. 871-876 [doi]
• Generalization of iterative sampling in autoencodersM. Solinas, C. Galiez, R. Cohendet, S. Rousset, M. Reyboz, M. Mermillod. 877-882 [doi]
• Estimating the Effect of General Health Checkup Using Uncertainty Aware Attention of Deep Instrument Variable 2-Stage NetworkSangKyun Jo, Duk Bin Jun, Sungho Park. 883-888 [doi]
• Deduplication of Advertisement Assets Using Deep Learning EnsemblesAbhijith Chakiat, Nishant Oli, Varun Kumar Modi. 889-894 [doi]
• Predicting Residential Energy Consumption Using Wavelet Decomposition With Deep Neural NetworkDagimawi D. Eneyew, Miriam A. M. Capretz, Girma T. Bitsuamlak, Syed Mir. 895-900 [doi]
• Malware Classification using Recurrence Plots and Deep Neural NetworkSara Sartoli, Yong Wei, Shane Hampton. 901-906 [doi]
• An Efficient Pipeline for Pruning Convolutional Neural NetworksChengcheng Li, Zi Wang, Hairong Qi. 907-912 [doi]
• Improving the Donor Journey with Convolutional and Recurrent Neural NetworksGreg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs. 913-920 [doi]
• Real Time Data Science Decision Tree Approach to Approve Bank Loan from Lawyer's PerspectiveP. Rajesh, Mansoor Alam, Mansour Tahernezhadi, C. Vikram, P. N. Phaneendra. 921-929 [doi]
• Product Recommendation System for SupermarketPranavi Satheesan, Prasanna S. Haddela, Jesuthasan Alosius. 930-935 [doi]
• Valid Prediction Intervals for Course Grades with Conformal PredictionRaphaël Morsomme, Evgueni N. Smirnov. 936-941 [doi]
• A Hierarchical Bayesian IRT Analysis of Children's Risk PropensityChelsea Parlett-Pelleriti, Erik J. Linstead, Emily S. Sumner, Hoang Q. Nguyen, Ryan Stokes, Barbara W. Sarnecka, Susanne M. Jaeggi. 942-947 [doi]
• A Survey of Biometric and Machine Learning Methods for Tracking Students' Attention and EngagementMaria Villa, Mikhail I. Gofman, Sinjini Mitra, Ali Almadan, Anoop Krishnan, Ajita Rattani. 948-955 [doi]
• Deep Learning Based Vehicle Detection From Aerial ImagesHüseyin Seçkin Dikbayir, Halil Ïbrahim Bülbül. 956-960 [doi]
• What are they Reporting? Examining Student Cybersecurity Course Surveys through the Lens of Machine LearningDenise Dragos, Suzanna Schmeelk. 961-964 [doi]
• Hybrid Approaches for Augmentation of Translation Tables for Indian LanguagesK. M. Kavitha, Vaishnavi Naik, Sahana Angadi, Sandra Satish, Suman Nayak. 965-970 [doi]
• Effects of Number of Filters of Convolutional Layers on Speech Recognition Model AccuracyJames Mou, Jun Li. 971-978 [doi]
• SummaTRIZ : Summarization Networks for Mining Patent ContradictionGuillaume Guarino, Ahmed Samet, Amir Nafi, Denis Cavallucci. 979-986 [doi]
• Towards Hybrid Model for Automatic Text SummarizationJi Pei, Rim Hantach, Sarra Ben Abbès, Philippe Calvez. 987-993 [doi]
• Subword Contextual Embeddings for Languages with Rich MorphologyArda Akdemir, Tetsuo Shibuya, Tunga Güngör. 994-1001 [doi]
• Main Content Extraction from Web PagesStanislas Morbieu, Guillaume Bruneval, Mohamed Lacarne, Mohamed Kone, François-Xavier Bois. 1002-1005 [doi]
• An Investigation of Fine-tuning Pre-trained Model for MR-to-Text GenerationTing Hu, Christoph Meinel. 1006-1009 [doi]
• Toxic Comment Classification For French Online CommentsNadira Boudjani, Yannis Haralambous, Inna Lyubareva. 1010-1014 [doi]
• DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech DetectionJoshua Melton, Arunkumar Bagavathi, Siddharth Krishnan. 1015-1022 [doi]
• Sequential Transfer Learning for Event Detection and Key Sentence ExtractionAnaïs Ollagnier, Hywel T. P. Williams. 1023-1027 [doi]
• Understanding Fairness of Gender Classification Algorithms Across Gender-Race GroupsAnoop Krishnan, Ali Almadan, Ajita Rattani. 1028-1035 [doi]
• BWCFace: Open-set Face Recognition using Body-worn CameraAli Almadan, Anoop Krishnan, Ajita Rattani. 1036-1043 [doi]
• AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement BlocksSarp Aykent, Gerry V. Dozier. 1044-1050 [doi]
• Evaluation of Local Binary Pattern Algorithm for User Authentication with Face BiometricTony Gwyn, Mustafa Atay, Roy Kaushik, Albert C. Esterline. 1051-1058 [doi]
• Using Graph Embeddings and Machine Learning to Detect Cryptography Misuse in Source CodeGustavo Eloi de P. Rodrigues, Alexandre Melo Braga, Ricardo Dahab. 1059-1066 [doi]
• Image Watermarking with Region of Interest Determination Using Deep Neural NetworksMahnoosh Bagheri, Majid Mohrekesh, Nader Karimi, Shadrokh Samavi, Shahram Shirani, Pejman Khadivi. 1067-1072 [doi]
• Towards Obfuscated Malware Detection for Low Powered IoT DevicesDaniel Park, Hannah Powers, Benji Prashker, Leland Liu, Bülent Yener. 1073-1080 [doi]
• Chromatogram Alignment Algorithm Based on Deep Neural Network and an Application in Bio-aerosol DetectionYongyu Yang. 1081-1086 [doi]
• Architecture for accurate polyp segmentation in motion-blurred colonoscopy imagesMakoto Takamatsu, Makoto Hasegawa. 1087-1093 [doi]
• A Novel ECG Signal Denoising Filter Selection Algorithm Based on Conventional Neural NetworksChandresh Pravin, Varun Ojha. 1094-1100 [doi]
• Al-based BMI Inference from Facial Images: An Application to Weight MonitoringHera Siddiqui, Ajita Rattani, Dakshina Ranjan Kisku, Tanner Dean. 1101-1105 [doi]
• Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson's diseaseRobert LeMoyne, Timothy Mastroianni, Donald Whiting, Nestor D. Tomycz. 1106-1111 [doi]
• Application of Face Recognition in Tracing COVID-19 Fever Patients and Close ContactsWeijun Tan, Jingfeng Liu. 1112-1116 [doi]
• Learning across label confidence distributions using Filtered Transfer LearningSeyed Ali Madani Tonekaboni, Andrew E. Brereton, Zhaleh Safikhani, Andreas Windemuth, Benjamin Haibe-Kains, Stephen MacKinnon. 1117-1123 [doi]
• Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebaseBudhaditya Saha, Vedant Mandloi, Shameek Ghosh. 1124-1131 [doi]
• On The Application of Domain Adversarial Neural Network to Fault Detection and Isolation in Power PlantsHossein Shahabadi Farahani, Alireza Fatehi, Mahdi Aliyari Shoorehdeli. 1132-1138 [doi]
• Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference AcceleratorNavid Khoshavi, Connor Broyles, Yu Bi, Arman Roohi. 1139-1144 [doi]
• Adaptive Data-driven Approach for the Remaining Useful Life Estimation when Few Historical Degradation Sequences are AvailableKoceila Abid, Moamar Sayed Mouchaweh, Laurence Cornez. 1145-1152 [doi]
• FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile RobotsAhmed Imteaj, M. Hadi Amini. 1153-1160 [doi]
• Connecting Distributed Pockets of Energy Flexibility through Federated Computations: Limitations and PossibilitiesJavad Mohammadi, Jesse Thornburg. 1161-1166 [doi]
• Robust Incremental Logistic Regression for Detection of Anomaly Using Big DataTopon Kumar Paul, Ken Ueno. 1167-1173 [doi]
• Multi-UCAV Air Combat in Short-Range Maneuver Strategy Generation using Reinforcement Learning and Curriculum LearningWeiren Kong, Deyun Zhou, Kai Zhang 0037, Zhen Yang, Wansha Yang. 1174-1181 [doi]
• Geographical feature classification from text using (active) convolutional neural networksLiping Yang, Alan M. MacEachren, Prasenjit Mitra. 1182-1198 [doi]
• Exploratory data analysis of the visitor's arrivals to Chichen-Itza's archaeological site, a case studyEdgar Avalos-Gauna, León Felipe Palafox-Novack, Dayanara Carrasco-Yépez. 1199-1204 [doi]
• Geographic Boosting Tree: Modeling Non-Stationary Spatial DataLiangdong Deng, Malek Adjouadi, Naphtali Rishe. 1205-1210 [doi]
• 1Debzani Deb, Russell M. Smith. 1211-1217 [doi]
• Know-Linking: An approach to generate shared knowledge between several actors in companies application in aerospace manufacturerElamin Abderrahim, Nada Matta, Hassan Atifi. 1218-1223 [doi]
• An embedded deep learning system for augmented reality in firefighting applicationsManish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón. 1224-1230 [doi]
• HPT-RL: Calibrating Power System Models based on Hierarchical Parameter Tuning and Reinforcement LearningLei Lin, Wencheng Wu, Zhongkai Shangguan, Safwan Wshah, Ramadan Elmoudi, Beilei Xu. 1231-1237 [doi]
• Multi-view Data Mining Approach for Behaviour Analysis of Smart Control ValveAmirmohammad Eghbalian, Shahrooz Abghari, Veselka Boeva, Farhad Basiri. 1238-1245 [doi]
• New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehiclesInès Jorge, Ahmed Samet, Tedjani Mesbahi, Romuald Boné. 1246-1253 [doi]
• Technical Indicators and Prediction for Energy Market ForecastingCatherine McHugh, Sonya Coleman, Dermot Kerr. 1254-1259 [doi]
• A Real Time Stock tendency prognostication using QuantopianP. Rajesh, Mansoor Alam, Mansour Tahernezhadi, K. Vamshikrishna Reddy, K. Chandrakala. 1260-1267 [doi]
• Reducing Artifacts in GAN Audio SynthesisNathan Thiem, Marko Orescanin, James Bret Michael. 1268-1275 [doi]
• A Curated Set of Labeled Code Tutorial Images for Deep LearningAdrienne Bergh, Paul Harnack, Abigail Atchison, Jordan Ott, Elia Eiroa-Lledo, Erik Linstead. 1276-1280 [doi]
• Defending Against Localized Adversarial Attacks on Edge-Deployed Monocular Depth EstimatorsNanda H. Krishna, Praveen Kumar R, Rishi Vardhan K, Vineeth Vijayaraghavan. 1281-1288 [doi]
• Adversarial Patch Defense for Optical Flow Networks in Video Action RecognitionAdithya Prem Anand, H. Gokul, Harish Srinivasan, Pranav Vijay, Vineeth Vijayaraghavan. 1289-1296 [doi]
• GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep LearningSai Narayanan, Akhilesh Ramachandran, Sathyanarayanan N. Aakur, Arunkumar Bagavathi. 1297-1303 [doi]
• Towards adversarial robustness with 01 loss neural networksYunzhe Xue, Meiyan Xie, Usman Roshan. 1304-1309 [doi]
• Enhancing ontology-based home Care Services platform using Bayesian networksAbdelweheb Gueddes, Mohamed-Ali Mahjoub. 1310-1316 [doi]
• Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm OptimizationHassen Dhrif, Verónica Bolón-Canedo, Stefan Wuchty. 1317-1323 [doi]
• A Study of Deep Learning for Predicting Freeze of Gait in Patients with Parkinson's DiseaseAlexander M. Yuan, Shayok Chakraborty. 1324-1331 [doi]
• Using internet search trends to forecast short term drug overdose deaths: A case study on ConnecticutSumit Mukherjee, Nicholas Becker, William Weeks, Juan Lavista Ferres. 1332-1339 [doi]
• Pandemic spread prediction and healthcare preparedness through financial and mobility dataNidhi Mulay, Vikas Bishnoi, Himanshi Charotia, Siddhartha Asthana, Gaurav Dhama, Ankur Arora. 1340-1347 [doi]
• Depression Detection Using Atlas from fMRI ImagesMarzieh Mousavian, Jianhua Chen 0003, Steven G. Greening. 1348-1353 [doi]
• COVID-19 Screening Using Residual Attention Network an Artificial Intelligence ApproachVishal Sharma, Curtis E. Dyreson. 1354-1361 [doi]
• Automated Semantic Segmentation of Cardiac Magnetic Resonance Images with Deep LearningSujata Sinha, Thomas Denney, Yang Zhou 0001, Jingyi Zheng. 1362-1368 [doi]
• End-to-End Deep Learning for Reliable Cardiac Activity Monitoring using SeismocardiogramsPrithvi Suresh, Naveen Narayanan, Chakilam Vijay Pranav, Vineeth Vijayaraghavan. 1369-1375 [doi]
• Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound imagesMeiyan Xie, Yunzhu Li, Yunzhe Xue, Lauren Huntress, William Beckerman, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan. 1376-1381 [doi]
• ARC-Net: Activity Recognition Through CapsulesHamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad. 1382-1388 [doi]
• A Power-aware Approach for Smart Health Monitoring and Decision SupportCarmela Comito, Deborah Falcone, Agostino Forestiero. 1389-1395 [doi]
• Multiple Instance Learning approaches for Melanoma and Dysplastic Nevi images classificationEugenio Vocaturo, Ester Zumpano. 1396-1401 [doi]
• Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and PneumoniaEdward Verenich, Alvaro Velasquez, Nazar Khan, Faraz Hussain 0001. 1402-1409 [doi]
• Multi-class segmentation of Diabetic Retinopathy lesions: effects of metrics, improvements and lossPedro Furtado 0001. 1410-1417 [doi]
• Car Detection Based Algorithm For Automatic Parking Space DetectionRaj Patel, Praveen Meduri. 1418-1423 [doi]
• Enabling Rewards for Reinforcement Learning in Laser Beam Welding processes through Deep LearningMarkus Schmitz, Florian Pinsker, Alexander Ruhri, Beibei Jiang, Georgij Safronov. 1424-1431 [doi]
• A New Clustering-Based Technique for the Acceleration of Deep Convolutional NetworksErion-Vasilis M. Pikoulis, Christos Mavrokefalidis, Aris S. Lalos. 1432-1439 [doi]
• SAFL: A Self-Attention Scene Text Recognizer with Focal LossBao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen, Duc-Anh Le, Thanh-Hung Nguyen, Phi-Le Nguyen. 1440-1445 [doi]
• Enhancing Piano Transcription by Dilated ConvolutionXian Wang, Lingqiao Liu, Qinfeng Shi. 1446-1453 [doi]
• Radar Trajectory-based Air-Writing Recognition using Temporal Convolutional NetworkMuhammad Arsalan, Avik Santra, Vadim Issakov. 1454-1459 [doi]
• On the transferability of adversarial examples between convex and 01 loss modelsYunzhe Xue, Meiyan Xie, Usman Roshan. 1460-1467 [doi]
• TSV Extrusion Morphology Classification Using Deep Convolutional Neural NetworksBrendan Reidy, Golareh Jalilvand, Tengfei Jiang, Ramtin Zand. 1468-1474 [doi]
• A Comparative Study of Deep Learning-based RGB-depth Fusion Methods for Object DetectionFahimeh Farahnakian, Jukka Heikkonen. 1475-1482 [doi]
• CONVJSSP: Convolutional Learning for Job-Shop Scheduling ProblemsTianZe Wang, Amir H. Payberah, Vladimir Vlassov. 1483-1490 [doi]
• MarioDAgger: A Time and Space Efficient Autonomous DriverFarzad Kamrani, Andreas Elers, Mika Cohen, Amir H. Payberah. 1491-1498 [doi]
• Effective Big Data Caching through Reinforcement LearningMirco Tracolli, Marco Baioletti, Valentina Poggioni, Daniele Spiga. 1499-1504 [doi]
• The Importance of Local Labels Distribution and Dominance for Node Classification in Graph Neural NetworksAsmaa Rassil, Hiba Chougrad, Hamid Zouaki. 1505-1511 [doi]
• DAT-RNN: Trajectory Prediction with Diverse AttentionZheng Li 0020, Xiaocong Du, Yu Cao 0001. 1512-1518 [doi]
• Quantifying Challenges in the Application of Graph Representation LearningAntonia Gogoglou, C. Bayan Bruss, Brian Nguyen, Reza Sarshogh, Keegan E. Hines. 1519-1526 [doi]
• Road Accident Proneness Indicator Based On Time, Weather And Location Specificity Using Graph Neural NetworksSrikanth Chandar, Anish Reddy, Muvazima Mansoor, Suresh Jamadagni. 1527-1533 [doi]
• Graph Neural Networks for Model Recommendation using Time Series DataAleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev. 1534-1541 [doi]