Table of Contents

• Regularization Learning for Image RecognitionXinjie Lan, Kenneth E. Barner. 1-7 [doi]
• GRAM: Gradient Rescaling Attention Model for Data Uncertainty Estimation in Single Image Super ResolutionKi-Seok Chung, Changwoo Lee. 8-13 [doi]
• Through-Wall Pose Imaging in Real-Time with a Many-to-Many Encoder/Decoder ParadigmKevin Meng, Yu Meng. 14-21 [doi]
• Domain Mixture: An Overlooked Scenario in Domain AdaptationSebastian Schrom, Stephan Hasler. 22-27 [doi]
• Particle Detector Simulation using Generative Adversarial Networks with Domain Related ConstraintsGul Rukh Khattak, Sofia Vallecorsa, Federico Carminati, Gul Muhammad Khan. 28-33 [doi]
• PI-LSTM: Physics-Infused Long Short-Term Memory NetworkShubhendu Kumar Singh, Ruoyu Yang, Amir Behjat, Rahul Rai, Souma Chowdhury, Ion Matei. 34-41 [doi]
• Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal RegularizationNina Schaaf, Marco F. Huber, Johannes Maucher. 42-49 [doi]
• Leveraging Semi-Supervised Learning for Fairness using Neural NetworksVahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu. 50-55 [doi]
• Efficient Evolutionary Architecture Search for CNN Optimization on GTSRBFabio Marco Johner, Jürgen Wassner. 56-61 [doi]
• Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS PatientsDan Halbersberg, Boaz Lerner. 62-68 [doi]
• A Deep Structural Model for Analyzing Correlated Multivariate Time SeriesChangwei Hu, Yifan Hu, Sungyong Seo. 69-74 [doi]
• Recurrent Dilated DenseNets for a Time-Series Segmentation TaskAlexander Fuchs, Robin Priewald, Franz Pernkopf. 75-80 [doi]
• State Summarization of Video Streams for Spatiotemporal Query Matching in Complex Event ProcessingPiyush Yadav, Dibya Prakash Das, Edward Curry. 81-88 [doi]
• RF Transmitter Fingerprinting Exploiting Spatio-Temporal Properties in Raw Signal DataDebashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao. 89-96 [doi]
• Brown Planthopper Damage Detection using Remote Sensing and Machine LearningDimuthu Lakmal, Kumaran Kugathasan, Vishaka Nanayakkara, Suranga Jayasena, Amal Shehan Perera, Lasantha Fernando. 97-104 [doi]
• Generative Feature Models and Robustness Analysis for Multimedia Content ClassificationSunil Bharitkar. 105-110 [doi]
• Bimodal Emotion Recognition Based on Audio and Facial Parts Using Deep Convolutional Neural NetworksJadisha Yarif Ramírez Cornejo, Hélio Pedrini. 111-117 [doi]
• Predicting Futures Market Movement using Deep Neural NetworksTong Sun, Jia Wang, Jing Ni, Yu Cao 0002, Benyuan Liu. 118-125 [doi]
• DeepTrax: Embedding Graphs of Financial TransactionsAnish Khazane, Jonathan Rider, Max Serpe, Antonia Gogoglou, Keegan E. Hines, C. Bayan Bruss, Richard Serpe. 126-133 [doi]
• An Industry Case of Large-Scale Demand Forecasting of Hierarchical ComponentsRodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev. 134-139 [doi]
• Risk-Based Dynamic Pricing via Failure PredictionChi Zhang, Chetan Gupta 0001, Seiji Joichi, Ahmed K. Farahat, Huijuan Shao. 140-147 [doi]
• Learning to Propose Amendments: Identifying Patterns in the Right to Information Query LogNayantara Kotoky, Vijaya V. Saradhi. 148-154 [doi]
• Unsupervised Topic Model Based Text Network Construction for Learning Word EmbeddingsSun Sunnie Chung, Michael D'Arcy. 155-161 [doi]
• Entity Set Expansion for Detecting Fashion TrendsSagnik Sarkar, Maulik Parmar, Sumeet Sandhu. 162-167 [doi]
• Collaborative Attentive Autoencoder for Scientific Article RecommendationMeshal Alfarhood, Jianlin Cheng. 168-174 [doi]
• Radar-Based Human Target Detection using Deep Residual U-Net for Smart Home ApplicationsMichael Stephan, Avik Santra. 175-182 [doi]
• Spatio-Temporal FAST 3D Convolutions for Human Action RecognitionAlexandros Stergiou, Ronald Poppe. 183-190 [doi]
• Fall Detection in Video Sequences Based on a Three-Stream Convolutional Neural NetworkGuilherme Vieira Leite, Gabriel Pellegrino da Silva, Hélio Pedrini. 191-195 [doi]
• Moving Cast Shadow Detection in Video Based on New Chromatic Criteria and Statistical ModelingHang Shi, Chengjun Liu. 196-201 [doi]
• Towards Real-Time Detection and Mitigation of Driver Frustration using SVMSebastian Zepf, Tobias Stracke, Alexander Schmitt, Florian van de Camp, Jürgen Beyerer. 202-209 [doi]
• Pattern-RL: Multi-robot Cooperative Pattern Formation via Deep Reinforcement LearningJia Wang, Jiannong Cao, Milos Stojmenovic, Miao Zhao, Jinlin Chen, Shan Jiang 0005. 210-215 [doi]
• Interpretable Approximation of a Deep Reinforcement Learning Agent as a Set of If-Then RulesSubramanya Nageshrao, Bruno Costa, Dimitar P. Filev. 216-221 [doi]
• A Hierarchical Model for StarCraft II Mini-GameTianlin Liu, Xihong Wu, Dingsheng Luo. 222-227 [doi]
• Evaluating the Performance of the Deep Active Imitation Learning Algorithm in the Dynamic Environment of FIFA Player AgentsMatheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz. 228-233 [doi]
• Shapley Value Approximation with Divisive ClusteringKevin Corder, Keith Decker. 234-239 [doi]
• Supervised Machine Learning Approach for Effective Supplier ClassificationRamkumar Harikrishnakumar, Alok Dand, Saideep Nannapaneni, Krishna Krishnan. 240-245 [doi]
• Classifying, Detecting, and Predicting Infestation Patterns of the Brown Planthopper in Rice PaddiesChristopher Harris, Y. Andi Trisyono. 246-251 [doi]
• Reordering Genomic Sequences for Enhanced Classification via Compression AnalyticsChristina L. Ting, Renee Gooding, Richard V. Field Jr., Jacob Caswell. 252-258 [doi]
• Educational Data Mining: Analysis of Drop out of Engineering Majors at the UnB - BrazilRodrigo da Fonseca Silveira, Maristela Holanda, Márcio de Carvalho Victorino, Marcelo Ladeira. 259-262 [doi]
• Using Text Mining to Categorize the Purpose of Public Spending for the Benefit of Transparency and AccountabilityMauricio Barros de Jesus, Gladston Luiz da Silva, Marcelo Ladeira, Gustavo Cordeiro Galvão Van Erven. 263-267 [doi]
• Leveraging Elastic Demand for ForecastingHoutao Deng, Ganesh Krishnan, Ji Chen, Dong Liang. 268-271 [doi]
• Locally Convex Kernel Mixtures: Bayesian Subspace LearningDuy Hoang Thai, Hau-Tieng Wu, David B. Dunson. 272-275 [doi]
• Rare Geometries: Revealing Rare Categories via Dimension-Driven StatisticsHenry Kvinge, Elin Farnell, JingYa Li, Yujia Chen. 276-281 [doi]
• Client-Side Monitoring of HTTP Clusters Using Machine Learning TechniquesRicardo Filipe, Filipe Araújo. 282-286 [doi]
• Learning Mobile Application Usage - A Deep Learning ApproachJingyi Shen, M. Omair Shafiq. 287-292 [doi]
• Machine Learning to Predict Developmental Neurotoxicity with High-Throughput Data from 2D Bio-Engineered TissuesFinn Kuusisto, Vítor Santos Costa, Zhonggang Hou, James A. Thomson, David Page, Ron M. Stewart. 293-298 [doi]
• Stochastic Coordinate Descent for 01 Loss and Its Sensitivity to Adversarial AttacksMeiyan Xie, Yunzhe Xue, Usman Roshan. 299-304 [doi]
• Modelling, Learning and Prediction of Complex Radar Emitter BehaviourSabine Apfeld, Alexander Charlish, Gerd Ascheid. 305-310 [doi]
• IsoClustering: A Generalized Framework for Local Data ClusteringDavid Haley, Ehsan Kamalinejad, Jiaofei Zhong. 311-314 [doi]
• Using Bidirectional Long Short Term Memory with Attention Layer to Estimate Driver BehaviorShokoufeh Monjezi Kouchak, Ashraf Gaffar. 315-320 [doi]
• A Boosted Tree Machine Learning Alternative to Predictive Evaluation of Nondestructive Concrete Compressive StrengthAhmed Lasisi, Mufutau Obanishola Sadiq, Ibrahim Balogun, Abdulfatai Tunde-Lawal, Nii O. Attoh-Okine. 321-324 [doi]
• Style-Aware Neural Model with Application in Authorship AttributionFereshteh Jafariakinabad, Kien A. Hua. 325-328 [doi]
• Lean Training Data Generation for Planar Object Detection Models in Unsteady Logistics ContextsLaura Dörr, Felix Brandt 0002, Anne Meyer, Martin Pouls. 329-334 [doi]
• Unsupervised Learning on the Health and Retirement Study using Geometric Data AnalysisReinaldo Sanchez-Arias, Roberto Williams Batista. 335-340 [doi]
• A Machine Learning Approach to Maximizing Broadband Capacity via Dynamic DOCSIS 3.1 Profile ManagementAnastasia Gaydashenko, Sangeeta Ramakrishnan. 341-345 [doi]
• Encoding in Neural NetworksSunil Bharitkar. 346-351 [doi]
• AudioForesight: A Process Model for Audio Predictive Maintenance in Industrial EnvironmentsDominic Henze, Klaidi Gorishti, Bernd Bruegge, Jan-Philipp Simen. 352-357 [doi]
• Cyclic Boosting - An Explainable Supervised Machine Learning AlgorithmFelix Wick, Ulrich Kerzel, Michael Feindt. 358-363 [doi]
• Understanding Cohesion in Writings and Speech of Schizophrenia PatientsAmal AlQahtani, Efsun Sarioglu Kayi, Mona T. Diab. 364-369 [doi]
• Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional ComputingNiklas Karvonen, Joakim Nilsson, Denis Kleyko, Lara Lorna Jiménez. 370-375 [doi]
• Classification and Feature Extraction for User Identification for Smart Home Networks Based on Apps Access HistoryYosef Ashibani, Qusay H. Mahmoud. 376-380 [doi]
• Facility Locations Utility for Uncovering Classifier OverconfidenceKarsten Maurer, Walter D. Bennette. 381-386 [doi]
• The Machine Learning Models for Activity Recognition Applications with Wearable SensorsIgor Khokhlov, Leon Reznik, Rohit Bhaskar. 387-391 [doi]
• Online Causal Structure Learning in the Presence of Latent VariablesDurdane Kocacoban, James Cussens. 392-395 [doi]
• An Analysis of Univariate and Multivariate Electrocardiography Signal ClassificationNelly Elsayed, Anthony S. Maida, Magdy Bayoumi. 396-399 [doi]
• Pelee-Text: A Tiny Convolutional Neural Network for Multi-oriented Scene Text DetectionManuel A. Córdova, Luis G. L. Decker, Jose L. Flores-Campana, Andreza A. dos Santos, Jhonatas S. Conceição. 400-405 [doi]
• RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic SequenceSanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad. 406-409 [doi]
• Computer-Aided Diagnosis using Class-Weighted Deep Neural NetworkPritam Sarkar, Vandad Davoodnia, Ali Etemad. 410-413 [doi]
• Physics-Guided Neural Network with Model Discrepancy Based on Upper Troposphere Wind PredictionKen-ichi Fukui, Junya Tanaka, Tomohiko Tomita, Masayuki Numao. 414-419 [doi]
• Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security ImageryYona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon. 420-425 [doi]
• When to Pull Starting Pitchers in Major League Baseball? A Data Mining ApproachMichael Woodham, Jason Hawkins, Ankita Singh, Shayok Chakraborty. 426-431 [doi]
• Discovering Programmer Intention Behind Written Source CodeGadiel Sznaier Camps, Nicolas Bohm Agostini, David Kaeli. 432-437 [doi]
• Word Embedding by Combining Resources and Integrating TechniquesKazem Qazanfari, Abdou Youssef. 438-443 [doi]
• A Comparative Analysis of Unsupervised Learning Techniques for Anomaly Detection in Railway SystemsMacilio da Silva Ferreira, Lucio Flavio Vismari, Paulo Sérgio Cugnasca, Jorge Rady de Almeida Jr., João Batista Camargo Jr., Guilherme Kallemback. 444-449 [doi]
• Context-Aware Autonomous Driving Using Meta-Reinforcement LearningYesmina Jaâfra, Aline Deruyver, Jean Luc Laurent, Mohamed Saber Naceur. 450-455 [doi]
• Predicting Louisiana Public High School Dropout through Imbalanced Learning TechniquesMarmar Orooji, Jianhua Chen. 456-461 [doi]
• LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial NetworksCedric Oeldorf, Gerasimos Spanakis. 462-468 [doi]
• Explainable Density-Based Approach for Self-Driving Actions ClassificationEduardo A. Soares, Plamen P. Angelov, Dimitar P. Filev, Bruno Costa 0004, Marcos Castro, Subramanya Nageshrao. 469-474 [doi]
• Identifying Laguerre-Gaussian Modes using Convolutional Neural NetworkSafura Sharifi, Sofia Brown, Irina Novikova, Eugeniy Mikhailov, Georgios Veronis, Jonathan Dowling, Yaser Banadaki, Elisha Siddiqui, Savannah Cuzzo, Narayan Bhusal, Lior Cohen, Austin Kalasky, Nik Prajapati, Rachel Soto-Garcia. 475-478 [doi]
• Denoising Internet Delay Measurements using Weak SupervisionAnirudh Muthukumar, Ramakrishnan Durairajan. 479-484 [doi]
• Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian ProcessesKrishna Karthik Gadiraju, Bharathkumar Ramachandra, Ashwin Shashidharan, Benjamin Dutton, Ranga Raju Vatsavai. 485-488 [doi]
• Advanced Decision Making and Interpretability through Neural ShrubsKyle A. Caudle, Randy C. Hoover, Aaron Alphonsus, Shashwati Shradha. 489-494 [doi]
• Region Based Anomaly Detection with Real-Time Training and AnalysisPhilip A. Adey, Oliver K. Hamilton, Magnus Bordewich, Toby P. Breckon. 495-499 [doi]
• Extracting Cryptocurrency Price Movements from the Reddit Network SentimentStephen Wooley, Andrew Edmonds, Arunkumar Bagavathi, Siddharth Krishnan. 500-505 [doi]
• Frosting Weights for Better Continual TrainingXiaofeng Zhu 0004, Feng Liu, Goce Trajcevski, Dingding Wang 0001. 506-510 [doi]
• Mood Classification with Lyrics and ConvNetsRevanth Akella, Teng-Sheng Moh. 511-514 [doi]
• Feature Changes in Source Code for Commit Classification Into Maintenance ActivitiesRichard V. R. Mariano, Geanderson E. dos Santos, Markos V. de Almeida, Wladmir C. Brandão. 515-518 [doi]
• An Application of Autonomous Learning Multimodel System for Localization in Industrial Warehouse Storage RackSheng Huang, Zheng Hua Shi. 519-522 [doi]
• Root Cause Detection Among Anomalous Time Series Using Temporal State AlignmentSayan Chakraborty, Smit Shah 0003, Kiumars Soltani, Anna Swigart. 523-528 [doi]
• Asynchronous Multitask Reinforcement Learning with Dropout for Continuous ControlZilong Jiao, Jae C. Oh. 529-534 [doi]
• End-to-End Reinforcement Learning for Multi-agent Continuous ControlZilong Jiao, Jae C. Oh. 535-540 [doi]
• Maximizing Customer Lifetime Value using Stacked Neural Networks: An Insurance Industry ApplicationGaddiel Desirena, Armando Diaz, Jalil Desirena, Ismael Moreno, Daniel Garcia. 541-544 [doi]
• Face Recognition Using Segmentation TechnologyFei Gao, Jiangjiang Liu. 545-548 [doi]
• Assessing Wireless Data Services with Machine Learning and GeostatisticsJose Mijangos, Glenn Bruns. 549-554 [doi]
• Hateful Speech Detection in Public Facebook Pages for the Bengali LanguageAlvi Md. Ishmam, Sadia Sharmin. 555-560 [doi]
• A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming DataMohsin Munir, Muhammad Ali Chattha, Andreas Dengel 0001, Sheraz Ahmed. 561-566 [doi]
• Active Learning for Feasible Region DiscoveryNicolas Knudde, Ivo Couckuyt, Kohei Shintani, Tom Dhaene. 567-572 [doi]
• Independent Component Analysis Based on Mutual Dependence MeasuresZe Jin, David S. Matteson, Tianrong Zhang. 573-580 [doi]
• Domain-Invariant Regression Under Beer-Lambert's LawRamin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Moser. 581-586 [doi]
• Multiple Learning for Regression in Big DataXiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang. 587-594 [doi]
• Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS AlgorithmRyoya Yamasaki, Toshiyuki Tanaka. 595-601 [doi]
• Deep Neuronal Based Classifiers for Wireless Multi-hop Network Mobility ModelsDaniel Gutiérrez, Sergio Toral. 602-607 [doi]
• Deep Learning Approach to Trademark International Class IdentificationGirish J. Showkatramani, Nidhi Khatri, Arlene Landicho, Darwin Layog. 608-612 [doi]
• LSTM Based Bearing Fault Diagnosis of Electrical Machines using Motor Current SignalRussell Sabir, Daniele Rosato, Sven Hartmann, Clemens Guehmann. 613-618 [doi]
• A Long-Short Term Memory Network for Detecting CRISPR ArraysShantanu Deshmukh, Philip Heller, Natalia Khuri. 619-624 [doi]
• An Edge Computing Visual System for Vegetable CategorizationChang Liu, Xizhe Wang, Jing Ni, Yu Cao 0002, Benyuan Liu. 625-632 [doi]
• Deep Learning-Based Object Detection for Digital Inspection in the Mining IndustryThiago D'Angelo, Marina Mendes, Breno Keller, Rafael Ferreira, Saul E. Delabrida, Ricardo Augusto Rabelo Oliveira, Hector Azpurua, Andrea G. C. Bianchi. 633-640 [doi]
• On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene UnderstandingKhalid N. Ismail, Toby P. Breckon. 641-646 [doi]
• MobileNet-Tiny: A Deep Neural Network-Based Real-Time Object Detection for Rasberry PiNithesh Singh Sanjay, Ali Ahmadinia. 647-652 [doi]
• Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-Temporal Real-Time Fire DetectionGanesh Samarth C. A., Neelanjan Bhowmik, Toby P. Breckon. 653-658 [doi]
• Text Similarity in Vector Space Models: A Comparative StudyOmid Shahmirzadi, Adam Lugowski, Kenneth Younge. 659-666 [doi]
• Suggestion Mining from Online Reviews usingRandom Multimodel Deep LearningFeng Liu, Liangji Wang, Xiaofeng Zhu 0004, Dingding Wang 0001. 667-672 [doi]
• Mining Strengths and Weaknesses of Cricket Players Using Short Text CommentarySwarup Ranjan Behera, Parag Agrawal, Amit Awekar, Vijaya Saradhi Vedula. 673-679 [doi]
• Does Semantic Search Performs Better than Lexical Search in the Task of Assisting Legal Opinion Writing?Daniel de Souza Costa Pedroso, Marcelo Ladeira, Thiago de Paulo Faleiros. 680-685 [doi]
• Feedback Learning for Improving the Robustness of Neural NetworksChang Song, Zuoguan Wang, Hai Li. 686-693 [doi]
• Disentangling and Learning Robust Representations with Natural ClusteringJavier Antorán, Antonio Miguel. 694-699 [doi]
• Forcing Interpretability for Deep Neural Networks through Rule-Based RegularizationNadia Burkart, Marco Huber, Phillip Faller. 700-705 [doi]
• Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword SpottingYuriy Mishchenko, Yusuf Goren, Ming Sun, Chris Beauchene, Spyros Matsoukas, Oleg Rybakov, Shiv Naga Prasad Vitaladevuni. 706-711 [doi]
• Large-Scale Gender/Age Prediction of Tumblr UsersYao Zhang, Changwei Hu, Yifan Hu, Tejaswi Kasturi, Shanmugam Ramasamy, Matt Gillingham, Keith Yamamoto. 712-717 [doi]
• Legislative Vote Prediction using Campaign Donations and Fuzzy Hierarchical CommunitiesScott Wahl, John Sheppard, Elizabeth Shanahan. 718-725 [doi]
• Evaluation of Event Impact on Key Performance IndicatorsQiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Chetan Gupta 0001, Shuai Zheng. 726-733 [doi]
• Complete Rare Event Specification using Stochastic Treatment: CRESSTDebanjana Banerjee, Ritish Menon. 734-739 [doi]
• Machine Learning Models to Identify the Risk of Modern Slavery in Brazilian CitiesMarlu da Silva Santos, Marcelo Ladeira, Gustavo Cordeiro Galvão Van Erven, Gladston Luiz da Silva. 740-746 [doi]
• An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring DatasetsLeopoldo Soares de Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo. 747-754 [doi]
• Deep Learning and Thresholding with Class-Imbalanced Big DataJustin M. Johnson, Taghi M. Khoshgoftaar. 755-762 [doi]
• Learning Curve Estimation with Large Imbalanced DatasetsAaron N. Richter, Taghi M. Khoshgoftaar. 763-768 [doi]
• PPD: Permutation Phase Defense Against Adversarial Examples in Deep LearningMehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee. 769-776 [doi]
• Multi-adversarial Variational Autoencoder NetworksAbdullah-Al-Zubaer Imran, Demetri Terzopoulos. 777-782 [doi]
• Gradient Boosted Trees with ExtrapolationAlexey Malistov, Arseniy Trushin. 783-789 [doi]
• Joint Regularization on Activations and Weights for Efficient Neural Network PruningQing Yang, Wei Wen, Zuoguan Wang, Hai Li 0001. 790-797 [doi]
• Language-Agnostic Syllabification with Neural Sequence LabelingJacob Krantz, Maxwell Dulin, Paul De Palma. 804-810 [doi]
• Investigating Input and Output Units in Diacritic RestorationSawsan Alqahtani, Mona T. Diab. 811-817 [doi]
• Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control PoliciesKeuntaek Lee, Ziyi Wang, Bogdan I. Vlahov, Harleen K. Brar, Evangelos A. Theodorou. 831-837 [doi]
• Automatic CNN Compression System for Autonomous DrivingDaichi Murata, Toru Motoya, Hiroaki Ito. 838-843 [doi]
• Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based ExplorationSongan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng. 844-850 [doi]
• Colorectal Polyp Segmentation by U-Net with Dilation ConvolutionXinzi Sun, Pengfei Zhang, Dechun Wang, Yu Cao 0002, Benyuan Liu. 851-858 [doi]
• Predicting Music Popularity Using Music ChartsCarlos Vicente Soares Araujo, Marco Antônio Pinheiro de Cristo, Rafael Giusti. 859-864 [doi]
• Classifying Humpback Whale Calls to Song and Non-Song Vocalizations using Bag of Words Descriptor on Acoustic DataHamed Mohebbi-Kalkhoran, Chenyang Zhu 0003, Matthew Schinault, Purnima Ratilal. 865-870 [doi]
• Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural NetworksTruc Nguyen, Alexander Fuchs, Franz Pernkopf. 871-875 [doi]
• Predictive and Prescriptive Analytics for Performance Optimization: Framework and a Case Study on a Large-Scale Enterprise SystemIndu John, Ravikumar Karumanchi, Shalabh Bhatnagar. 876-881 [doi]
• Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic AlgorithmsJivitesh Sharma, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo. 882-888 [doi]
• T-REC: Towards Accurate Bug Triage for Technical GroupsCícero Augusto De Lara Pahins, Fabrício D'Morison, Thiago M. Rocha, Larissa M. Almeida, Arthur F. Batista, Diego F. Souza. 889-895 [doi]
• FlexAdapt: Flexible Cycle-Consistent Adversarial Domain AdaptationAkhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Bianchi-Berthouze, Nicholas D. Lane. 896-901 [doi]
• Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge DistillationJayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris. 902-907 [doi]
• Adapting Standard External Clustering Metrics for Repetitive, Noisy ObservationsRobert Smith 0001, Jebediah Rosen, Dan Ventura. 908-914 [doi]
• Prune and Replace NASKevin Alexander Laube, Andreas Zell. 915-921 [doi]
• Fuzzy-Rough Cognitive Networks: Building Blocks and Their Contribution to PerformanceMarnick Vanloffelt, Gonzalo Nápoles, Koen Vanhoof. 922-928 [doi]
• Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy AlgorithmNikki Lijing Kuang, Clement H. C. Leung. 929-936 [doi]
• A Multi-label, Dual-Output Deep Neural Network for Automated Bug TriagingChristopher A. Choquette-Choo, David Sheldon, Jonny Proppe, John Alphonso-Gibbs, Harsha Gupta. 937-944 [doi]
• Non-Linear Feature Selection for Prediction of Hospital Length of StaySadaf Kabir, Leily Farrokhvar. 945-950 [doi]
• Deep Ensemble Network for Quantification and Severity Assessment of Knee OsteoarthritisMohammed Bany Muhammad, Ashraf Moinuddin, Ming Ta Michael Lee, Yanfei Zhang, Vida Abedi, Ramin Zand, Mohammed Yeasin. 951-957 [doi]
• Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography ImagesSharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir, Alireza Tavakkoli. 964-971 [doi]
• AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio ModelsTaesik Gong, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Akhil Mathur, Fahim Kawsar. 978-985 [doi]
• On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security ImageryNeelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akçay, Jack W. Barker, Toby P. Breckon. 986-991 [doi]
• A Deep Learning Approach to Distributed Anomaly Detection for Edge ComputingOkwudili M. Ezeme, Qusay H. Mahmoud, Akramul Azim. 992-999 [doi]
• Time Series Anomaly Detection from a Markov Chain PerspectiveIman Vasheghani Farahani, Alex Chien, Russell E. King, Michael G. Kay, Brad Klenz. 1000-1007 [doi]
• An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive ManufacturingYingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen 0001, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli. 1008-1015 [doi]
• Evaluating Unsupervised Anomaly Detection Models to Detect Faults in Heavy Haul Railway OperationsDavid F. N. Oliveira, Marcelo M. Neves, Lucio Flavio Vismari, Jorge Rady de Almeida Jr., Paulo Sérgio Cugnasca, João Batista Camargo Jr., Eduardo M. G. Rodrigues, Debora R. Doimo, Leandro P. F. de Almeida, Rafael Gripp. 1016-1022 [doi]
• Detection of False Data Injection Attacks in Cyber-Physical Systems using Dynamic InvariantsKiyoshi Nakayama, Nikhil Muralidhar, Chenrui Jin, Ratnesh Sharma. 1023-1030 [doi]
• Semi-Supervised Discriminative Transfer Learning in Cross-Language Text ClassificationMingon Kang, Ashis Kumer Biswas, Dong-Chul Kim, Jean Gao. 1031-1038 [doi]
• Inducing Embeddings for Rare Words through Morphological Decomposition, Stemming and Bidirectional TranslationXiaotao Li, Shujuan You, Wai Chen. 1039-1044 [doi]
• A Study on Software Metric Selection for Software Fault PredictionHuanjing Wang, Taghi M. Khoshgoftaar. 1045-1050 [doi]
• Naive Bayes with Correlation Factor for Text Classification ProblemJiangning Chen, Zhibo Dai, Juntao Duan, Heinrich Matzinger, Ionel Popescu. 1051-1056 [doi]
• Mining the Highway-Rail Grade Crossing Crash Data: A Text Mining ApproachSamira Soleimani, Ali Mohammadi, Jianhua Chen, Michael Leitner. 1063-1068 [doi]
• Exposition and Interpretation of the Topology of Neural NetworksRickard Brüel Gabrielsson, Gunnar E. Carlsson. 1069-1076 [doi]
• Path Homologies of Deep Feedforward NetworksSamir Chowdhury, Thomas Gebhart, Steve Huntsman, Matvey Yutin. 1077-1082 [doi]
• A Notion of Harmonic Clustering in Simplicial ComplexesStefania Ebli, Gard Spreemann. 1083-1090 [doi]
• Multiscale Geometric Data Analysis via Laplacian Eigenvector CascadingJoshua Mike, Jose Perea. 1091-1098 [doi]
• Mapper Based ClassifierJacek Cyranka, Alexander Georges, David Meyer. 1099-1106 [doi]
• Hyperparameter Optimization of Topological Features for Machine Learning ApplicationsFrancis Motta, John Harer, Nick Leiby, Franco Marinozzi, Scott Novotney, Gabe Rocklin, Jed Singer, Devin Strickland, Matt Vaughn, Christopher J. Tralie, Rossella Bedini, Fabiano Bini, Gilberto Bini, Hamed Eramian, Marcio Gameiro, Steve Haase, Hugh Haddox. 1107-1114 [doi]
• Adaptive Template Systems: Data-Driven Feature Selection for Learning with Persistence DiagramsLuis Polanco, Jose A. Perea. 1115-1121 [doi]
• A Survey of Intrusion Detection TechniquesDeepthi Hassan Lakshminarayana, James Philips, Nasseh Tabrizi. 1122-1129 [doi]
• Web User Authentication Using Chosen Word Keystroke DynamicsKhandaker Abir Rahman, Deepak Neupane, Abdulrahman Zaiter, Md. Shafaeat Hossain. 1130-1135 [doi]
• Online EM Monitoring of 802.11n Networks using Self Adaptive Kernel MachineJonathan Villain, Anthony Fleury, Virginie Deniau, Christophe Gransart, Eric Simon. 1136-1142 [doi]
• Anomaly Dataset Augmentation Using the Sequence Generative ModelsSunguk Shin, Inseop Lee, Changhee Choi. 1143-1148 [doi]
• PcapGAN: Packet Capture File Generator by Style-Based Generative Adversarial NetworksBaik Dowoo, Yujin Jung, Changhee Choi. 1149-1154 [doi]
• Exploring Adversaries to Defend Audio CAPTCHAHeemany Shekhar, Melody Moh, Teng-Sheng Moh. 1155-1161 [doi]
• Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet DetectionSven Nomm, Alejandro Guerra-Manzanares, Hayretdin Bahsi. 1162-1169 [doi]
• Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on DatastreamsCristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Carlos Salort Sánchez, Goetz Brasche. 1170-1177 [doi]
• Software Fault Prediction Based on Fault Probability and ImpactSalim Moudache, Mourad Badri. 1178-1185 [doi]
• How can Automated Machine Learning Help Business Data Science Teams?Ashkan Ebadi, Yvan Gauthier, Stéphane Tremblay, Patrick Paul. 1186-1191 [doi]
• Ranking Clusters of Postal Codes to Improve Recruitment in the Canadian Armed ForcesRyuichi Ueno, Robert M. Bryce, Dragos Calitoiu. 1192-1197 [doi]
• Urban Street Contexts Classification Using Convolutional Neural Networks and Streets ImageryFahad Alhasoun, Marta C. González. 1198-1204 [doi]
• Hyperparameters Search Methods for Machine Learning Linear WorkflowsKlára Pesková, Roman Neruda. 1205-1210 [doi]
• Chatter Diagnosis in Milling Using Supervised Learning and Topological Features VectorMelih C. Yesilli, Sarah Tymochko, Firas A. Khasawneh, Elizabeth Munch. 1211-1218 [doi]
• Persistent Homology Machine Learning for Fingerprint ClassificationNoah Giansiracusa, Robert Giansiracusa, Chul Moon. 1219-1226 [doi]
• Adaptive Partitioning for Template Functions on Persistence DiagramsSarah Tymochko, Elizabeth Munch, Firas A. Khasawneh. 1227-1234 [doi]
• Classification of Single-Lead Electrocardiograms: TDA Informed Machine LearningPaul Samuel Ignacio, Christopher Dunstan, Esteban Escobar, Luke Trujillo, David Uminsky. 1241-1246 [doi]
• Bayesian Topological Learning for Brain State ClassificationFarzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas. 1247-1252 [doi]
• An Intrusion Detection System for Multi-class Classification Based on Deep Neural NetworksPetros Toupas, Dimitra Chamou, Konstantinos M. Giannoutakis, Anastasios Drosou, Dimitrios Tzovaras. 1253-1258 [doi]
• One-Class Classification to Continuously Authenticate Users Based on Keystroke Timing DynamicsRasana Manandhar, Shaya Wolf, Mike Borowczak. 1259-1266 [doi]
• Data Integrity of Industrial Controllers via Multi-resolution Hierarchical Time Series ClusteringAndrew Walker, Joydeep Acharya. 1267-1274 [doi]
• Generation & Evaluation of Adversarial Examples for Malware ObfuscationDaniel Park, Haidar Khan, Bülent Yener. 1283-1290 [doi]
• Anomaly Detection using Supervised Learning and Multiple Statistical MethodsWatson Jia, Raj Mani Shukla, Shamik Sengupta. 1291-1297 [doi]
• An Unsupervised Framework for Anomaly Detection in a Water Treatment SystemMayra Alexandra Macas Carrasco, Chunming Wu. 1298-1305 [doi]
• Deep Learning Versus Conventional Learning in Data Streams with Concept DriftsSid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz. 1306-1313 [doi]
• A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy ModelsGraham White 0002, Daniel Cunnington, Mark Law, Elisa Bertino, Geeth de Mel, Alessandra Russo. 1314-1321 [doi]
• Active Learning to Improve Static AnalysisMaxwell Berman, Stephen C. Adams, Tim Sherburne, Cody Fleming, Peter A. Beling. 1322-1327 [doi]
• Machine Learning in Anomaly Detection: Example of Colluded Applications Attack in Android DevicesIgor Khokhlov, Michael Perez, Leon Reznik. 1328-1333 [doi]
• CausalConvLSTM: Semi-Supervised Log Anomaly Detection Through Sequence ModelingSteven Yen, Melody Moh, Teng-Sheng Moh. 1334-1341 [doi]
• Image Classification of Clogs in Direct Ink Write Additive ManufacturingAlbert Bruce Chu, Maxwell Murialdo, James P. Lewicki, Jennifer N. Rodriguez, Mitchell K. Shiflett, Brian Giera, Alan D. Kaplan. 1342-1347 [doi]
• Causal Discovery of Cyber Attack PhasesW. Graham Mueller, Alex Memory, Kyle Bartrem. 1348-1352 [doi]
• Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music TranscriptionXian Wang, Lingqiao Liu, Qinfeng Shi. 1353-1358 [doi]
• An Auto Regressive Deep Learning Model for Sales Tax Forecasting from Multiple Short Time SeriesElham Khorasani Buxton, Kenneth Kriz, Matthew Cremeens, Kim Jay. 1359-1364 [doi]
• Optimizing Deep Neural Network Architecture with Enhanced Genetic AlgorithmAjay Shrestha, Ausif Mahmood. 1365-1370 [doi]
• Instance Segmentation of Newspaper Elements Using Mask R-CNNAbdullah Almutairi, Meshal Alfarhood. 1371-1375 [doi]
• Robustness Evaluation of Deep Learning Models Based on Local Prediction ConsistencyZiqiang Shi, Chaoliang Zhong, Yasuto Yokota, Wensheng Xia, Jun Sun. 1376-1381 [doi]
• A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s)Siva Skandha Sanagala, Suneet Kr. Gupta, Vijaya Kumar Koppula, Mohit Agarwal. 1382-1387 [doi]
• Inferring Convolutional Neural Networks' Accuracies from Their Architectural CharacterizationsDuc Hoang, Jesse Hamer, Gabriel N. Perdue, Steven R. Young, Jonathan Miller, Anushree Ghosh. 1388-1391 [doi]
• Deep Learning for Flood Forecasting and Monitoring in Urban EnvironmentsCharalampos Karyotis, Tomasz Maniak, Faiyaz Doctor, Rahat Iqbal, Vasile Palade, Raymond Tang. 1392-1397 [doi]
• Using Convolutional Neural Networks to Extract Keywords and Keyphrases: A Case Study for Foodborne IllnessesJingjing Wang, Fei Song, Kavita Walia, Jeffery Farber, Rozita A. Dara. 1398-1403 [doi]
• Collapse Resistant Deep Convolutional GAN for Multi-object Image GenerationElijah Bolluyt, Cristina Comaniciu. 1404-1408 [doi]
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• Image Generation and Style Transfer Using Conditional Generative Adversarial NetworksSharada Murali, Mohammad Reza Rajati, Somasekhar Suryadevara. 1415-1419 [doi]
• Design of a Cost-Effective Deep Convolutional Neural Network-Based Scheme for Diagnosing Faults in Smart GridsHossein Hassani, Maryam Farajzadeh Zanjani, Roozbeh Razavi-Far, Mehrdad Saif, Vasile Palade. 1420-1425 [doi]
• Using Machine Learning to Improve Surgical OutcomesSindhura Bonthu, Priscila Rodrigues Armijo, Tiffany Tanner, Qiuming Zhu. 1426-1431 [doi]
• Improving Machine Learning Based Detection of Freezing of Gait Using Data Synthesis MethodsNader Naghavi, Soheil Borhani, Eric Wade. 1432-1437 [doi]
• Understanding Early Childhood Obesity via Interpretation of Machine Learning Model PredictionsXueqin Pang, Christopher B. Forrest, Félice Lê-Scherban, Aaron J. Masino. 1438-1443 [doi]
• Abnormal Gait Detection by Classifying Inertial Sensor Data using Transfer LearningTejul Pandit, Harshal Nahane, Dhanshree Lade, Vaibhav Rao. 1444-1447 [doi]
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• On Activity Identification Pipelines for a Low-Accuracy EEG DeviceÁkos Rudas, Sándor Laki. 1454-1459 [doi]
• IoT Environmental Analyzer using Sensors and Machine Learning for Migraine Occurrence PreventionRosemarie J. Day, Hassan Salehi, Mahsa Javadi. 1460-1465 [doi]
• Feature Clustering Towards Gene SelectionHanieh Marvi-Khorasani, Hamid Usefi. 1466-1469 [doi]
• Genetic Algorithms for Feature Selection in the Children and Adolescents Depression ContextRenata Santana, Bruno C. Santos, Thiago Lima, Maycoln Teodoro, Saulo Pinto, Luiz Zárate, Cristiane Nobre. 1470-1475 [doi]
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• An Online Incremental Clustering Framework for Real-Time Stream AnalyticsCarlos Salort Sánchez, Radu Tudoran, Mohamad Al Hajj Hassan, Stefano Bortoli, Goetz Brasche, Jan Baumbach, Cristian Axenie. 1480-1485 [doi]
• Machine Learning of the Ultrasound Signal Travel Path Effect in Estimating the Residual Life of the US Army VehiclesRamakrishna Valisetty. 1486-1491 [doi]
• Predictive Models with Resampling: A Comparative Study of Machine Learning Algorithms and their Performances on Handling Imbalanced DatasetsAdithi D. Chakravarthy, Sindhura Bonthu, Zhengxin Chen, Qiuming Zhu. 1492-1495 [doi]
• Comparing the Modeling Powers of RNN and HMMAchille Salaün, Yohan Petetin, François Desbouvries. 1496-1499 [doi]
• Multi-objective Shipment Allocation using Extreme Nondominated Sorting Genetic Algorithm-III (E-NSGA-III)Kittichai Lavangnananda, Peerasak Wangsom. 1500-1505 [doi]
• A Deep Learning Approach to Modeling a Complex Multi-variate, Temporal Thermal ProblemForrest Jehlik, Alvaro Blazquez de Mingo. 1506-1510 [doi]
• Predictive Analytics and Statistical Learning for Waterflooding Operations in Reservoir SimulationsXuan Liao, Mayank Tyagi. 1511-1516 [doi]
• ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music ConcertArunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan. 1517-1522 [doi]
• A Hybrid Collaborative Filtering Model Using Customer Search Keyword Data for Product RecommendationHa-Ram Won, Yunju Lee, Jae-Seung Shim, Hyunchul Ahn. 1523-1526 [doi]
• An Automatic Extraction Tool for Ethnic Vietnamese Thai Dances ConceptsTruong-Thanh Ma, Salem Benferhat, Zied Bouraoui, Karim Tabia, Thanh-Nghi Do, Nguyen-Khang Pham. 1527-1530 [doi]
• Sampling Real Algebraic Varieties for Topological Data AnalysisEmilie Dufresne, Parker Edwards, Heather A. Harrington, Jonathan D. Hauenstein. 1531-1536 [doi]
• Characterizing the Shape of Activation Space in Deep Neural NetworksThomas Gebhart, Paul Schrater, Alan Hylton. 1537-1542 [doi]
• Time-Series Data Analysis for Classification of Noisy and Incomplete Internet-of-Things DatasetsMichael Postol, Candace Diaz, Robert Simon, Drew Wicke. 1543-1550 [doi]
• A Topological "Reading" Lesson: Classification of MNIST using TDAAdélie Garin, Guillaume Tauzin. 1551-1556 [doi]
• Text Classification via Network Topology: A Case Study on the Holy QuranMehmet Emin Aktas, Esra Akbas. 1557-1562 [doi]
• Convolutional Classification of Pathogenicity in H5 Avian Influenza StrainsAkshay Chadha, Rozita Dara, Zvonimir Poljak. 1570-1577 [doi]
• An Effective CNN Approach for Diabetic Retinopathy Stage Classification with Dual Inputs and Selective Data SamplingJing Ni, Qilei Chen, Chang Liu, Honghao Wang, Yu Cao 0002, Benyuan Liu. 1578-1584 [doi]
• Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained DevicesAbhijith Ragav, Nanda Harishankar Krishna, Naveen Narayanan, Kevin Thelly, Vineeth Vijayaraghavan. 1585-1592 [doi]
• Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation ProblemSergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev. 1600-1605 [doi]
• Towards Real-Time Detection of Squamous Pre-Cancers from Oesophageal Endoscopic VideosXiaohong Gao, Barbara Braden, Stephen Taylor, Wei Pang. 1606-1612 [doi]
• CSNNs: Unsupervised, Backpropagation-Free Convolutional Neural Networks for Representation LearningBonifaz Stuhr, Jürgen Brauer. 1613-1620 [doi]
• Deep Neural Network Compression for Image Classification and Object DetectionGeorgios Tzelepis, Ahraz Asif, Saimir Baci, Selcuk Cavdar, Eren Erdal Aksoy. 1621-1628 [doi]
• Single-Net Continual Learning with Progressive Segmented TrainingXiaocong Du, Gouranga Charan, Frank Liu, Yu Cao 0001. 1629-1636 [doi]
• Parameter Continuation Methods for the Optimization of Deep Neural NetworksHarsh Nilesh Pathak, Randy C. Paffenroth. 1637-1643 [doi]
• Generation of Pedestrian Pose Structures using Generative Adversarial NetworksJames Spooner, Madeline Cheah, Vasile Palade, Stratis Kanarachos, Alireza Daneshkhah. 1644-1650 [doi]
• Anomaly Detection with Conditional Variational AutoencodersAdrian Alan Pol, Victor Berger, Cecile Germain, Gianluca Cerminara, Maurizio Pierini. 1651-1657 [doi]
• Optimal Ensembles for Deep Learning Classification: Theory and PracticeWenjing Li, Randy C. Paffenroth. 1658-1665 [doi]
• SVM-Based Segmentation of Home Appliance Energy MeasurementsMarc Wenninger, Dominik Stecher, Jochen Schmidt. 1666-1670 [doi]
• Multi-agent Learning for Energy-Aware Placement of Autonomous VehiclesÖmer Ibrahim Erduran, Mirjam Minor, Lars Hedrich, Ahmad Tarraf, Frederik Ruehl, Hans Schroth. 1671-1678 [doi]
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• Hybrid Condition Monitoring for Power Electronic SystemsNikola Markovic, Thomas Stoetzel, Volker Staudt, Dorothea Kolossa. 1687-1694 [doi]
• Domain Adaptation for Ageing State Recognition of Cables used in Power SystemsNathalie Morette, Thierry Ditchi, Yacine Oussar. 1695-1701 [doi]
• A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic FrameworksHari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos. 1702-1709 [doi]
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• Knee Bone Segmentation on Three-Dimensional MRIRania Almajalid, Juan Shan, Maolin Zhang, Garrett Stonis, Ming Zhang. 1725-1730 [doi]
• Depression Detection Using Feature Extraction and Deep Learning from sMRI ImagesMarzieh Mousavian, Jianhua Chen, Steven G. Greening. 1731-1736 [doi]
• Weakly Supervised Deep Learning for Detecting and Counting Dead Cells in Microscopy ImagesSiteng Chen, Ao Li, Kathleen Lasick, Julie Huynh, Linda S. Powers, Janet Roveda, Andrew Paek. 1737-1743 [doi]
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• Pattern and Anomaly Localization in Complex and Dynamic DataSid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz. 1756-1763 [doi]
• Sparse Super-Regular NetworksAndrew W. E. McDonald, Ali Shokoufandeh. 1764-1770 [doi]
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• Mask R-CNN End-to-End Text Detection and RecognitionSandeep Shivajirao, Rim Hantach, Sarra Ben Abbès, Philippe Calvez. 1787-1793 [doi]
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• Widened Learning of Index Tracking PortfoliosIuliia Gavriushina, Oliver Sampson, Michael R. Berthold, Winfried Pohlmeier, Christian Borgelt. 1800-1805 [doi]
• A Cost-Sensitive Approach to Enhance the use of ML Classifiers in Software Testing EffortsAlexandre Moreira Nascimento, Lucio Flavio Vismari, Paulo Sérgio Cugnasca, João Battista Camargo Junior, Jorge Rady Almeira Junior. 1806-1813 [doi]
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• Sparse Feature Extraction for Activity Detection Using Low-Resolution IR StreamsYordanka Karayaneva, Sara Sharifzadeh, Yanguo Jing, Kevin Chetty, Bo Tan 0003. 1837-1843 [doi]
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• Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning FrameworkTobias Schlosser, Michael Friedrich 0005, Danny Kowerko. 1866-1873 [doi]
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• Wireless Indoor Positioning Using Online Machine LearningSheng Huang, Andri Ashfahani, Mahardhika Pratama. 1885-1890 [doi]
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• Uncertainty-Aware Personalized Readability Assessments for Second Language LearnersYo Ehara. 1909-1916 [doi]
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• A Voice Interactive Multilingual Student Support System using IBM WatsonKennedy Ralston, Yuhao Chen, Haruna Isah, Farhana H. Zulkernine. 1924-1929 [doi]
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• Gender Estimation from a Hybrid of Face, Upper and Full Body Images at Varying Body PosesOgechukwu N. Iloanusi, Charles Mbah. 1944-1949 [doi]
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