| 2019 | 18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019 M. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang, Huanjing Wang, Naeem Seliya |
| 2019 | 3D Deformable Convolutions for MRI Classification. Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev |
| 2019 | A Boosted Tree Machine Learning Alternative to Predictive Evaluation of Nondestructive Concrete Compressive Strength. Ahmed Lasisi, Mufutau Obanishola Sadiq, Ibrahim Balogun, Abdulfatai Tunde-Lawal, Nii O. Attoh-Okine |
| 2019 | A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data. Mohsin Munir, Muhammad Ali Chattha, Andreas Dengel, Sheraz Ahmed |
| 2019 | A Comparative Analysis of Unsupervised Learning Techniques for Anomaly Detection in Railway Systems. Macilio da Silva Ferreira, Lucio Flavio Vismari, Paulo Sérgio Cugnasca, Jorge Rady de Almeida Jr., João Batista Camargo Jr., Guilherme Kallemback |
| 2019 | A Comparison Between Statistical and Symbolic Learning Approaches for Generative Policy Models. Graham White, Daniel Cunnington, Mark Law, Elisa Bertino, Geeth de Mel, Alessandra Russo |
| 2019 | A Cost-Sensitive Approach to Enhance the use of ML Classifiers in Software Testing Efforts. Alexandre Moreira Nascimento, Lucio Flavio Vismari, Paulo Sérgio Cugnasca, João Battista Camargo Junior, Jorge Rady de Almeida Júnior |
| 2019 | A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing. Okwudili M. Ezeme, Qusay H. Mahmoud, Akramul Azim |
| 2019 | A Deep Learning Approach to Modeling a Complex Multi-variate, Temporal Thermal Problem. Forrest Jehlik, Alvaro Blazquez de Mingo |
| 2019 | A Deep Structural Model for Analyzing Correlated Multivariate Time Series. Changwei Hu, Yifan Hu, Sungyong Seo |
| 2019 | A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s). Siva Skandha Sanagala, Suneet K. Gupta, Vijaya Kumar Koppula, Mohit Agarwal |
| 2019 | A Hierarchical Model for StarCraft II Mini-Game. Tianlin Liu, Xihong Wu, Dingsheng Luo |
| 2019 | A Hybrid Collaborative Filtering Model Using Customer Search Keyword Data for Product Recommendation. Ha-Ram Won, Yunju Lee, Jae-Seung Shim, Hyunchul Ahn |
| 2019 | A Long-Short Term Memory Network for Detecting CRISPR Arrays. Shantanu Deshmukh, Philip Heller, Natalia Khuri |
| 2019 | A Machine Learning Approach to Maximizing Broadband Capacity via Dynamic DOCSIS 3.1 Profile Management. Anastasia Gaydashenko, Sangeeta Ramakrishnan |
| 2019 | A Multi-label, Dual-Output Deep Neural Network for Automated Bug Triaging. Christopher A. Choquette-Choo, David Sheldon, Jonny Proppe, John Alphonso-Gibbs, Harsha Gupta |
| 2019 | A Notion of Harmonic Clustering in Simplicial Complexes. Stefania Ebli, Gard Spreemann |
| 2019 | A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks. Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos |
| 2019 | A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method. Sota Yasuda, Shahrzad Mahboubi, S. Indrapriyadarsini, Hiroshi Ninomiya, Hideki Asai |
| 2019 | A Study on Software Metric Selection for Software Fault Prediction. Huanjing Wang, Taghi M. Khoshgoftaar |
| 2019 | A Survey of Intrusion Detection Techniques. Deepthi Hassan Lakshminarayana, James Philips, Nasseh Tabrizi |
| 2019 | A Topological "Reading" Lesson: Classification of MNIST using TDA. Adélie Garin, Guillaume Tauzin |
| 2019 | A Voice Interactive Multilingual Student Support System using IBM Watson. Kennedy Ralston, Yuhao Chen, Haruna Isah, Farhana H. Zulkernine |
| 2019 | Abnormal Gait Detection by Classifying Inertial Sensor Data using Transfer Learning. Tejul Pandit, Harshal Nahane, Dhanshree Lade, Vaibhav Rao |
| 2019 | Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks. Truc Nguyen, Alexander Fuchs, Franz Pernkopf |
| 2019 | Active Learning for Feasible Region Discovery. Nicolas Knudde, Ivo Couckuyt, Kohei Shintani, Tom Dhaene |
| 2019 | Active Learning to Improve Static Analysis. Maxwell Berman, Stephen C. Adams, Tim Sherburne, Cody H. Fleming, Peter A. Beling |
| 2019 | Adapting Standard External Clustering Metrics for Repetitive, Noisy Observations. Robert Smith, Jebediah Rosen, Dan Ventura |
| 2019 | Adaptive Partitioning for Template Functions on Persistence Diagrams. Sarah Tymochko, Elizabeth Munch, Firas A. Khasawneh |
| 2019 | Adaptive Template Systems: Data-Driven Feature Selection for Learning with Persistence Diagrams. Luis Polanco, Jose A. Perea |
| 2019 | Advanced Decision Making and Interpretability through Neural Shrubs. Kyle A. Caudle, Randy C. Hoover, Aaron Alphonsus, Shashwati Shradha |
| 2019 | An Analysis of Univariate and Multivariate Electrocardiography Signal Classification. Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi |
| 2019 | An Application of Autonomous Learning Multimodel System for Localization in Industrial Warehouse Storage Rack. Sheng Huang, Zheng Hua Shi |
| 2019 | An Auto Regressive Deep Learning Model for Sales Tax Forecasting from Multiple Short Time Series. Elham Khorasani Buxton, Kenneth Kriz, Matthew Cremeens, Kim Jay |
| 2019 | An Automatic Extraction Tool for Ethnic Vietnamese Thai Dances Concepts. Truong-Thanh Ma, Salem Benferhat, Zied Bouraoui, Karim Tabia, Thanh-Nghi Do, Nguyen-Khang Pham |
| 2019 | An Edge Computing Visual System for Vegetable Categorization. Chang Liu, Xizhe Wang, Jing Ni, Yu Cao, Benyuan Liu |
| 2019 | An Effective CNN Approach for Diabetic Retinopathy Stage Classification with Dual Inputs and Selective Data Sampling. Jing Ni, Qilei Chen, Chang Liu, Honghao Wang, Yu Cao, Benyuan Liu |
| 2019 | An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets. Leopoldo Soares de Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo |
| 2019 | An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli |
| 2019 | An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev |
| 2019 | An Intrusion Detection System for Multi-class Classification Based on Deep Neural Networks. Petros Toupas, Dimitra Chamou, Konstantinos M. Giannoutakis, Anastasios Drosou, Dimitrios Tzovaras |
| 2019 | An Online Incremental Clustering Framework for Real-Time Stream Analytics. Carlos Salort Sánchez, Radu Tudoran, Mohamad Al Hajj Hassan, Stefano Bortoli, Goetz Brasche, Jan Baumbach, Cristian Axenie |
| 2019 | An Unsupervised Framework for Anomaly Detection in a Water Treatment System. Mayra Alexandra Macas Carrasco, Chunming Wu |
| 2019 | Analysis of Forest Fire Data Using Neural Network Rule Extraction with Human Understandable Rules. Osama Elsarrar, Marjorie Darrah, Richard Devine |
| 2019 | Anomaly Dataset Augmentation Using the Sequence Generative Models. Sunguk Shin, Inseop Lee, Changhee Choi |
| 2019 | Anomaly Detection using Supervised Learning and Multiple Statistical Methods. Watson Jia, Raj Mani Shukla, Shamik Sengupta |
| 2019 | Anomaly Detection with Conditional Variational Autoencoders. Adrian Alan Pol, Victor Berger, Cécile Germain, Gianluca Cerminara, Maurizio Pierini |
| 2019 | Anyone here? Smart Embedded Low-Resolution Omnidirectional Video Sensor to Measure Room Occupancy. Timothy Callemein, Kristof Van Beeck, Toon Goedemé |
| 2019 | Assessing Wireless Data Services with Machine Learning and Geostatistics. Jose Mijangos, Glenn Bruns |
| 2019 | Asynchronous Multitask Reinforcement Learning with Dropout for Continuous Control. Zilong Jiao, Jae C. Oh |
| 2019 | AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models. Taesik Gong, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Akhil Mathur, Fahim Kawsar |
| 2019 | AudioForesight: A Process Model for Audio Predictive Maintenance in Industrial Environments. Dominic Henze, Klaidi Gorishti, Bernd Bruegge, Jan-Philipp Simen |
| 2019 | Automated Stenosis Classification of Carotid Artery Sonography using Deep Neural Networks. Tony Lindsey, Zsolt Garami |
| 2019 | Automatic CNN Compression System for Autonomous Driving. Daichi Murata, Toru Motoya, Hiroaki Ito |
| 2019 | Bayesian Topological Learning for Brain State Classification. Farzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas |
| 2019 | Bimodal Emotion Recognition Based on Audio and Facial Parts Using Deep Convolutional Neural Networks. Jadisha Yarif Ramírez Cornejo, Hélio Pedrini |
| 2019 | Brown Planthopper Damage Detection using Remote Sensing and Machine Learning. Dimuthu Lakmal, Kumaran Kugathasan, Vishaka Nanayakkara, Suranga Jayasena, Amal Shehan Perera, Lasantha Fernando |
| 2019 | CSNNs: Unsupervised, Backpropagation-Free Convolutional Neural Networks for Representation Learning. Bonifaz Stuhr, Jürgen Brauer |
| 2019 | Causal Discovery of Cyber Attack Phases. W. Graham Mueller, Alex Memory, Kyle Bartrem |
| 2019 | CausalConvLSTM: Semi-Supervised Log Anomaly Detection Through Sequence Modeling. Steven Yen, Melody Moh, Teng-Sheng Moh |
| 2019 | Characterizing the Shape of Activation Space in Deep Neural Networks. Thomas Gebhart, Paul Schrater, Alan Hylton |
| 2019 | Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector. Melih C. Yesilli, Sarah Tymochko, Firas A. Khasawneh, Elizabeth Munch |
| 2019 | Classification and Feature Extraction for User Identification for Smart Home Networks Based on Apps Access History. Yosef Ashibani, Qusay H. Mahmoud |
| 2019 | Classification of Single-Lead Electrocardiograms: TDA Informed Machine Learning. Paul Samuel Ignacio, Christopher Dunstan, Esteban Escobar, Luke Trujillo, David Uminsky |
| 2019 | Classifying Humpback Whale Calls to Song and Non-Song Vocalizations using Bag of Words Descriptor on Acoustic Data. Hamed Mohebbi-Kalkhoran, Chenyang Zhu, Matthew Schinault, Purnima Ratilal |
| 2019 | Classifying, Detecting, and Predicting Infestation Patterns of the Brown Planthopper in Rice Paddies. Christopher Harris, Y. Andi Trisyono |
| 2019 | Client-Side Monitoring of HTTP Clusters Using Machine Learning Techniques. Ricardo Filipe, Filipe Araújo |
| 2019 | Clinical Knowledge Graph Embedding Representation Bridging the Gap between Electronic Health Records and Prediction Models. Matthew Wai Heng Chung, Jianyu Liu, Hegler Tissot |
| 2019 | Coarse Annotation Refinement for Segmentation of Dot-Matrix Batchcodes. Ning Jia, Christopher J. Holder, Stephen Bonner, Boguslaw Obara |
| 2019 | Collaborative Attentive Autoencoder for Scientific Article Recommendation. Meshal Alfarhood, Jianlin Cheng |
| 2019 | Collapse Resistant Deep Convolutional GAN for Multi-object Image Generation. Elijah Bolluyt, Cristina Comaniciu |
| 2019 | Colorectal Polyp Segmentation by U-Net with Dilation Convolution. Xinzi Sun, Pengfei Zhang, Dechun Wang, Yu Cao, Benyuan Liu |
| 2019 | Comparing Learning-Based Methods for Identifying Disaster-Related Tweets. Nasser Assery, Xiaohong Yuan, Sultan Almalki, Kaushik Roy, Xiuli Qu |
| 2019 | Comparing the Modeling Powers of RNN and HMM. Achille Salaün, Yohan Petetin, François Desbouvries |
| 2019 | Complete Rare Event Specification using Stochastic Treatment: CRESST. Debanjana Banerjee, Ritish Menon |
| 2019 | Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service. Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel |
| 2019 | Computer-Aided Diagnosis using Class-Weighted Deep Neural Network. Pritam Sarkar, Vandad Davoodnia, Ali Etemad |
| 2019 | Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models. Lennart Brocki, Neo Christopher Chung |
| 2019 | Context-Aware Autonomous Driving Using Meta-Reinforcement Learning. Yesmina Jaâfra, Aline Deruyver, Jean Luc Laurent, Mohamed Saber Naceur |
| 2019 | Convolutional Classification of Pathogenicity in H5 Avian Influenza Strains. Akshay Chadha, Rozita Dara, Zvonimir Poljak |
| 2019 | Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation. Changfu Li, Chenrui Jin, Ratnesh Sharma |
| 2019 | Cyclic Boosting - An Explainable Supervised Machine Learning Algorithm. Felix Wick, Ulrich Kerzel, Michael Feindt |
| 2019 | Data Integrity of Industrial Controllers via Multi-resolution Hierarchical Time Series Clustering. Andrew Walker, Joydeep Acharya |
| 2019 | Deep Diamond Re-ID. Floris De Feyter, Dries Hulens, Bram Claes, Toon Goedemé |
| 2019 | Deep Ensemble Network for Quantification and Severity Assessment of Knee Osteoarthritis. Mohammed Bany Muhammad, Ashraf Moinuddin, Ming Ta Michael Lee, Yanfei Zhang, Vida Abedi, Ramin Zand, Mohammed Yeasin |
| 2019 | Deep Learning Approach to Trademark International Class Identification. Girish J. Showkatramani, Nidhi Khatri, Arlene Landicho, Darwin Layog |
| 2019 | Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts. Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz |
| 2019 | Deep Learning and Thresholding with Class-Imbalanced Big Data. Justin M. Johnson, Taghi M. Khoshgoftaar |
| 2019 | Deep Learning for Flood Forecasting and Monitoring in Urban Environments. Charalampos Karyotis, Tomasz Maniak, Faiyaz Doctor, Rahat Iqbal, Vasile Palade, Raymond Tang |
| 2019 | Deep Learning with Domain Randomization for Optimal Filtering. Matthew L. Weiss, Randy C. Paffenroth, Jacob Whitehill, Joshua R. Uzarski |
| 2019 | Deep Learning-Based Object Detection for Digital Inspection in the Mining Industry. Thiago D'Angelo, Marina Mendes, Breno N. S. Keller, Rafael Ferreira, Saul E. Delabrida, Ricardo Augusto Rabelo Oliveira, Héctor Azpúrua, Andrea G. C. Bianchi |
| 2019 | Deep Neural Network Compression for Image Classification and Object Detection. Georgios Tzelepis, Ahraz Asif, Saimir Baci, Selcuk Cavdar, Eren Erdal Aksoy |
| 2019 | Deep Neuronal Based Classifiers for Wireless Multi-hop Network Mobility Models. Daniel Gutiérrez, Sergio Toral |
| 2019 | DeepECO: Applying Deep Learning for Occupancy Detection from Energy Consumption Data. Neelanjana Pal, Purboday Ghosh, Gabor Karsai |
| 2019 | DeepTrax: Embedding Graphs of Financial Transactions. Anish Khazane, Jonathan Rider, Max Serpe, Antonia Gogoglou, Keegan E. Hines, C. Bayan Bruss, Richard Serpe |
| 2019 | Denoising Internet Delay Measurements using Weak Supervision. Anirudh Muthukumar, Ramakrishnan Durairajan |
| 2019 | Depression Detection Using Feature Extraction and Deep Learning from sMRI Images. Marzieh Mousavian, Jianhua Chen, Steven G. Greening |
| 2019 | Design of a Cost-Effective Deep Convolutional Neural Network-Based Scheme for Diagnosing Faults in Smart Grids. Hossein Hassani, Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Mehrdad Saif, Vasile Palade |
| 2019 | Detection of False Data Injection Attacks in Cyber-Physical Systems using Dynamic Invariants. Kiyoshi Nakayama, Nikhil Muralidhar, Chenrui Jin, Ratnesh Sharma |
| 2019 | Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams. Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Carlos Salort Sánchez, Goetz Brasche |
| 2019 | Discovering Programmer Intention Behind Written Source Code. Gadiel Sznaier Camps, Nicolas Bohm Agostini, David R. Kaeli |
| 2019 | Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration. Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng |
| 2019 | Disentangling and Learning Robust Representations with Natural Clustering. Javier Antorán, Antonio Miguel |
| 2019 | Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation. Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris |
| 2019 | 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 |
| 2019 | Domain Adaptation for Ageing State Recognition of Cables used in Power Systems. Nathalie Morette, Thierry Ditchi, Yacine Oussar |
| 2019 | Domain Mixture: An Overlooked Scenario in Domain Adaptation. Sebastian Schrom, Stephan Hasler |
| 2019 | Domain-Invariant Regression Under Beer-Lambert's Law. Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Moser |
| 2019 | Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks. Ghada Zamzmi, Li-Yueh Hsu, Wen Li, Vandana Sachdev, Sameer K. Antani |
| 2019 | Educational Data Mining: Analysis of Drop out of Engineering Majors at the UnB - Brazil. Rodrigo da Fonseca Silveira, Maristela Holanda, Márcio de Carvalho Victorino, Marcelo Ladeira |
| 2019 | Efficient Evolutionary Architecture Search for CNN Optimization on GTSRB. Fabio Marco Johner, Jürgen Wassner |
| 2019 | Encoding in Neural Networks. Sunil Bharitkar |
| 2019 | End-to-End Reinforcement Learning for Multi-agent Continuous Control. Zilong Jiao, Jae C. Oh |
| 2019 | Enhancing Claims Handling Processes with Insurance Based Language Models. Anuj Dimri, Suraj Yerramilli, Peng Lee, Sardar Afra, Andrew Jakubowski |
| 2019 | Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization. Nina Schaaf, Marco F. Huber, Johannes Maucher |
| 2019 | Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies. Keuntaek Lee, Ziyi Wang, Bogdan I. Vlahov, Harleen K. Brar, Evangelos A. Theodorou |
| 2019 | Entity Set Expansion for Detecting Fashion Trends. Sagnik Sarkar, Maulik Parmar, Sumeet Sandhu |
| 2019 | Evaluating Unsupervised Anomaly Detection Models to Detect Faults in Heavy Haul Railway Operations. David 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 |
| 2019 | Evaluating the Performance of the Deep Active Imitation Learning Algorithm in the Dynamic Environment of FIFA Player Agents. Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz |
| 2019 | Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon |
| 2019 | Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring. Benjamin Lutz, Dominik Kißkalt, Daniel Regulin, Raven Reisch, Andreas Schiffler, Jörg Franke |
| 2019 | Evaluation of Event Impact on Key Performance Indicators. Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Chetan Gupta, Shuai Zheng |
| 2019 | Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-Temporal Real-Time Fire Detection. Ganesh Samarth C. A., Neelanjan Bhowmik, Toby P. Breckon |
| 2019 | Explainable Density-Based Approach for Self-Driving Actions Classification. Eduardo A. Soares, Plamen Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao |
| 2019 | Exploiting Stereo Sound Channels to Boost Performance of Neural Network-Based Music Transcription. Xian Wang, Lingqiao Liu, Qinfeng Shi |
| 2019 | Exploring Adversaries to Defend Audio CAPTCHA. Heemany Shekhar, Melody Moh, Teng-Sheng Moh |
| 2019 | Exploring the Landscape of Employers for Individuals with Autism Spectrum Disorder. Kayleigh Hyde, Amy-Jane Griffiths, Cristina Giannantonio, Amy Hurley-Hanson, Sneha Mathur, Erik Linstead |
| 2019 | Exposition and Interpretation of the Topology of Neural Networks. Rickard Brüel Gabrielsson, Gunnar E. Carlsson |
| 2019 | Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment. Stephen Wooley, Andrew Edmonds, Arunkumar Bagavathi, Siddharth Krishnan |
| 2019 | Face Recognition Using Segmentation Technology. Fei Gao, Jiangjiang Liu |
| 2019 | Facility Locations Utility for Uncovering Classifier Overconfidence. Karsten Maurer, Walter D. Bennette |
| 2019 | Fall Detection in Video Sequences Based on a Three-Stream Convolutional Neural Network. Guilherme Vieira Leite, Gabriel Pellegrino da Silva, Hélio Pedrini |
| 2019 | Feature Changes in Source Code for Commit Classification Into Maintenance Activities. Richard V. R. Mariano, Geanderson E. dos Santos, Markos V. de Almeida, Wladmir C. Brandão |
| 2019 | Feature Clustering Towards Gene Selection. Hanieh Marvi-Khorasani, Hamid Usefi |
| 2019 | Feedback Learning for Improving the Robustness of Neural Networks. Chang Song, Zuoguan Wang, Hai Li |
| 2019 | FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation. Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Bianchi-Berthouze, Nicholas D. Lane |
| 2019 | Forcing Interpretability for Deep Neural Networks through Rule-Based Regularization. Nadia Burkart, Marco F. Huber, Phillip Faller |
| 2019 | Frosting Weights for Better Continual Training. Xiaofeng Zhu, Feng Liu, Goce Trajcevski, Dingding Wang |
| 2019 | Fusing Visual and Textual Information to Determine Content Safety. Rodrigo Leonardo, Amber Hu, Mohammad Uzair, Qiujing Lu, Iris Fu, Keishin Nishiyama, Sooraj Mangalath Subrahmannian, Divyaa Ravichandran |
| 2019 | Fuzzy-Rough Cognitive Networks: Building Blocks and Their Contribution to Performance. Marnick Vanloffelt, Gonzalo Nápoles, Koen Vanhoof |
| 2019 | GRAM: Gradient Rescaling Attention Model for Data Uncertainty Estimation in Single Image Super Resolution. Ki-Seok Chung, Changwoo Lee |
| 2019 | Gender Estimation from a Hybrid of Face, Upper and Full Body Images at Varying Body Poses. Ogechukwu N. Iloanusi, Charles Chukwuma Mbah |
| 2019 | Generating Near and Far Analogies for Educational Applications: Progress and Challenges. Mark Boger, Antonio Laverghetta, Nikolai Fetisov, John Licato |
| 2019 | Generation & Evaluation of Adversarial Examples for Malware Obfuscation. Daniel Park, Haidar Khan, Bülent Yener |
| 2019 | Generation of Pedestrian Pose Structures using Generative Adversarial Networks. James Spooner, Madeline Cheah, Vasile Palade, Stratis Kanarachos, Alireza Daneshkhah |
| 2019 | Generative Feature Models and Robustness Analysis for Multimedia Content Classification. Sunil Bharitkar |
| 2019 | Genetic Algorithms for Feature Selection in the Children and Adolescents Depression Context. Renata C. Santana, Bruno César dos Santos, Thiago H. N. de Lima, Maycoln L. M. Teodoro, Saulo Pinto, Luiz Zárate, Cristiane Nobre |
| 2019 | Gradient Boosted Trees with Extrapolation. Alexey Malistov, Arseniy Trushin |
| 2019 | Graph-Based Analysis of Similarities between Word Frequency Distributions of Various Corpora for Complex Word Identification. Yo Ehara |
| 2019 | Hateful Speech Detection in Public Facebook Pages for the Bengali Language. Alvi Md. Ishmam, Sadia Sharmin |
| 2019 | Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. Tobias Schlosser, Michael Friedrich, Danny Kowerko |
| 2019 | Hierarchical Temporal Memories Prediction Performance and Robustness to Faults on Multivariate Time Series. Mathieu Jégou, Pierre Chevaillier, Pierre De Loor |
| 2019 | How can Automated Machine Learning Help Business Data Science Teams? Ashkan Ebadi, Yvan Gauthier, Stéphane Tremblay, Patrick Paul |
| 2019 | Hybrid Condition Monitoring for Power Electronic Systems. Nikola Markovic, Thomas Stoetzel, Volker Staudt, Dorothea Kolossa |
| 2019 | Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms. Jivitesh Sharma, Bernt Viggo Matheussen, Sondre Glimsdal, Ole-Christoffer Granmo |
| 2019 | Hypergraph Link Prediction: Learning Drug Interaction Networks Embeddings. Maria Vaida, Kevin Purcell |
| 2019 | Hyperparameter Optimization of Topological Features for Machine Learning Applications. Francis C. 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, Steven B. Haase, Hugh Haddox |
| 2019 | Hyperparameters Search Methods for Machine Learning Linear Workflows. Klára Pesková, Roman Neruda |
| 2019 | Identifying Laguerre-Gaussian Modes using Convolutional Neural Network. Safura Sharifi, Sofia Brown, Irina Novikova, Eugeniy E. Mikhailov, Georgios Veronis, Jonathan Dowling, Yaser Banadaki, Elisha Siddiqui, Savannah Cuzzo, Narayan Bhusal, Lior Cohen, Austin Kalasky, Nik Prajapati, Rachel Soto-Garcia |
| 2019 | Image Classification of Clogs in Direct Ink Write Additive Manufacturing. Albert Bruce Chu, Maxwell Murialdo, James P. Lewicki, Jennifer N. Rodriguez, Mitchell K. Shiflett, Brian Giera, Alan David Kaplan |
| 2019 | Image Generation and Style Transfer Using Conditional Generative Adversarial Networks. Sharada Murali, Mohammad Reza Rajati, Somasekhar Suryadevara |
| 2019 | Improving Machine Learning Based Detection of Freezing of Gait Using Data Synthesis Methods. Nader Naghavi, Soheil Borhani, Eric Wade |
| 2019 | Independent Component Analysis Based on Mutual Dependence Measures. Ze Jin, David S. Matteson, Tianrong Zhang |
| 2019 | Inducing Embeddings for Rare Words through Morphological Decomposition, Stemming and Bidirectional Translation. Xiaotao Li, Shujuan You, Wai Chen |
| 2019 | Inferring Convolutional Neural Networks' Accuracies from Their Architectural Characterizations. Duc Hoang, Jesse Hamer, Gabriel N. Perdue, Steven R. Young, Jonathan A. Miller, Anushree Ghosh |
| 2019 | Infrared and Visible Image Fusion via Multi-discriminators Wasserstein Generative Adversarial Network. Jing Li, Hongtao Huo, Kejian Liu, Chang Li, Shuo Li, Xin Yang |
| 2019 | Instance Segmentation of Newspaper Elements Using Mask R-CNN. Abdullah Almutairi, Meshal Alfarhood |
| 2019 | Interpretable Approximation of a Deep Reinforcement Learning Agent as a Set of If-Then Rules. Subramanya Nageshrao, Bruno Costa, Dimitar P. Filev |
| 2019 | Investigating Input and Output Units in Diacritic Restoration. Sawsan Alqahtani, Mona T. Diab |
| 2019 | Investigation of Factors Affecting Ownership the Household Informatics Equipment with CHAID Algorithm. Mahmut Coskun, Halil-Ibrahim Bülbül |
| 2019 | IoT Environmental Analyzer using Sensors and Machine Learning for Migraine Occurrence Prevention. Rosemarie J. Day, Hassan Salehi, Mahsa Javadi |
| 2019 | IsoClustering: A Generalized Framework for Local Data Clustering. David Haley, Ehsan Kamalinejad, Jiaofei Zhong |
| 2019 | Joint Regularization on Activations and Weights for Efficient Neural Network Pruning. Qing Yang, Wei Wen, Zuoguan Wang, Hai Li |
| 2019 | Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm. Ryoya Yamasaki, Toshiyuki Tanaka |
| 2019 | Knee Bone Segmentation on Three-Dimensional MRI. Rania Almajalid, Juan Shan, Maolin Zhang, Garrett Stonis, Ming Zhang |
| 2019 | LSTM Based Bearing Fault Diagnosis of Electrical Machines using Motor Current Signal. Russell Sabir, Daniele Rosato, Sven Hartmann, Clemens Gühmann |
| 2019 | Language-Agnostic Syllabification with Neural Sequence Labeling. Jacob Krantz, Maxwell Dulin, Paul De Palma |
| 2019 | Large-Scale Gender/Age Prediction of Tumblr Users. Yao Zhang, Changwei Hu, Yifan Hu, Tejaswi Kasturi, Shanmugam Ramasamy, Matt Gillingham, Keith Yamamoto |
| 2019 | Lean Training Data Generation for Planar Object Detection Models in Unsteady Logistics Contexts. Laura Dörr, Felix Brandt, Anne Meyer, Martin Pouls |
| 2019 | Learnable Visual Rhythms Based on the Stacking of Convolutional Neural Networks for Action Recognition. Helena Almeida Maia, Marcos Roberto e Souza, Anderson Santos, Hélio Pedrini, Hemerson Tacon, André de Souza Brito, Hugo de Lima Chaves, Marcelo Bernardes Vieira, Saulo Moraes Villela |
| 2019 | Learning Curve Estimation with Large Imbalanced Datasets. Aaron N. Richter, Taghi M. Khoshgoftaar |
| 2019 | Learning Mobile Application Usage - A Deep Learning Approach. Jingyi Shen, M. Omair Shafiq |
| 2019 | Learning to Propose Amendments: Identifying Patterns in the Right to Information Query Log. Nayantara Kotoky, Vijaya V. Saradhi |
| 2019 | Legislative Vote Prediction using Campaign Donations and Fuzzy Hierarchical Communities. Scott Wahl, John Sheppard, Elizabeth Shanahan |
| 2019 | Leveraging Elastic Demand for Forecasting. Houtao Deng, Ganesh Krishnan, Ji Chen, Dong Liang |
| 2019 | Leveraging Semi-Supervised Learning for Fairness using Neural Networks. Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu |
| 2019 | LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks. Cedric Oeldorf, Gerasimos Spanakis |
| 2019 | Locally Convex Kernel Mixtures: Bayesian Subspace Learning. Duy Hoang Thai, Hau-Tieng Wu, David B. Dunson |
| 2019 | Looking for the Best Fit of a Function over Circadian Rhythm Data. Fabian Fallas-Moya, Manfred Gonzalez-Hernandez, Luis Barboza-Barquero, Kenneth Obando, Ovidio Valerio, Andrea Holst, Ronald Arias |
| 2019 | Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword Spotting. Yuriy Mishchenko, Yusuf Goren, Ming Sun, Chris Beauchene, Spyros Matsoukas, Oleg Rybakov, Shiv Naga Prasad Vitaladevuni |
| 2019 | Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing. Niklas Karvonen, Joakim Nilsson, Denis Kleyko, Lara Lorna Jiménez |
| 2019 | Machine Learning Models to Identify the Risk of Modern Slavery in Brazilian Cities. Marlu da Silva Santos, Marcelo Ladeira, Gustavo Cordeiro Galvão Van Erven, Gladston Luiz da Silva |
| 2019 | Machine Learning in Anomaly Detection: Example of Colluded Applications Attack in Android Devices. Igor Khokhlov, Michael Perez, Leon Reznik |
| 2019 | Machine Learning of the Ultrasound Signal Travel Path Effect in Estimating the Residual Life of the US Army Vehicles. Ramakrishna Valisetty |
| 2019 | Machine Learning to Predict Developmental Neurotoxicity with High-Throughput Data from 2D Bio-Engineered Tissues. Finn Kuusisto, Vítor Santos Costa, Zhonggang Hou, James A. Thomson, David Page, Ron M. Stewart |
| 2019 | Mapper Based Classifier. Jacek Cyranka, Alexander Georges, David Meyer |
| 2019 | Mask R-CNN End-to-End Text Detection and Recognition. Sandeep Shivajirao, Rim Hantach, Sarra Ben Abbès, Philippe Calvez |
| 2019 | Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth. Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr, John Just |
| 2019 | Maximizing Customer Lifetime Value using Stacked Neural Networks: An Insurance Industry Application. Gaddiel Desirena, Armando Diaz, Jalil Desirena, Ismael Moreno, Daniel Garcia |
| 2019 | Mining Strengths and Weaknesses of Cricket Players Using Short Text Commentary. Swarup Ranjan Behera, Parag Agrawal, Amit Awekar, Vijaya Saradhi Vedula |
| 2019 | Mining the Highway-Rail Grade Crossing Crash Data: A Text Mining Approach. Samira Soleimani, Ali Mohammadi, Jianhua Chen, Michael Leitner |
| 2019 | MobileNet-Tiny: A Deep Neural Network-Based Real-Time Object Detection for Rasberry Pi. Nithesh Singh Sanjay, Ali Ahmadinia |
| 2019 | Modelling, Learning and Prediction of Complex Radar Emitter Behaviour. Sabine Apfeld, Alexander Charlish, Gerd Ascheid |
| 2019 | Mood Classification with Lyrics and ConvNets. Revanth Akella, Teng-Sheng Moh |
| 2019 | Moving Cast Shadow Detection in Video Based on New Chromatic Criteria and Statistical Modeling. Hang Shi, Chengjun Liu |
| 2019 | Multi-adversarial Variational Autoencoder Networks. Abdullah-Al-Zubaer Imran, Demetri Terzopoulos |
| 2019 | Multi-agent Learning for Energy-Aware Placement of Autonomous Vehicles. Ömer Ibrahim Erduran, Mirjam Minor, Lars Hedrich, Ahmad Tarraf, Frederik Ruehl, Hans Schroth |
| 2019 | Multi-objective Shipment Allocation using Extreme Nondominated Sorting Genetic Algorithm-III (E-NSGA-III). Kittichai Lavangnananda, Peerasak Wangsom |
| 2019 | Multiple Learning for Regression in Big Data. Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang |
| 2019 | Multiscale Geometric Data Analysis via Laplacian Eigenvector Cascading. Joshua L. Mike, Jose Perea |
| 2019 | Naive Bayes with Correlation Factor for Text Classification Problem. Jiangning Chen, Zhibo Dai, Juntao Duan, Heinrich Matzinger, Ionel Popescu |
| 2019 | Non-Linear Feature Selection for Prediction of Hospital Length of Stay. Sadaf Kabir, Leily Farrokhvar |
| 2019 | On Activity Identification Pipelines for a Low-Accuracy EEG Device. Ákos Rudas, Sándor Laki |
| 2019 | On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery. Neelanjan Bhowmik, Yona Falinie A. Gaus, Samet Akçay, Jack W. Barker, Toby P. Breckon |
| 2019 | On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding. Khalid N. Ismail, Toby P. Breckon |
| 2019 | One-Class Classification to Continuously Authenticate Users Based on Keystroke Timing Dynamics. Rasana Manandhar, Shaya Wolf, Mike Borowczak |
| 2019 | Online Causal Structure Learning in the Presence of Latent Variables. Durdane Kocacoban, James Cussens |
| 2019 | Online EM Monitoring of 802.11n Networks using Self Adaptive Kernel Machine. Jonathan Villain, Anthony Fleury, Virginie Deniau, Christophe Gransart, Eric Pierre Simon |
| 2019 | Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images. Sharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir, Alireza Tavakkoli |
| 2019 | Optimal Ensembles for Deep Learning Classification: Theory and Practice. Wenjing Li, Randy C. Paffenroth |
| 2019 | Optimizing Deep Neural Network Architecture with Enhanced Genetic Algorithm. Ajay Shrestha, Ausif Mahmood |
| 2019 | PI-LSTM: Physics-Infused Long Short-Term Memory Network. Shubhendu Kumar Singh, Ruoyu Yang, Amir Behjat, Rahul Rai, Souma Chowdhury, Ion Matei |
| 2019 | PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning. Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee |
| 2019 | Parameter Continuation Methods for the Optimization of Deep Neural Networks. Harsh Nilesh Pathak, Randy C. Paffenroth |
| 2019 | Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation. Rusheng Zhang, Romain Leteurtre, Benjamin Striner, Ammar S. Alanazi, Abdullah Alghafis, Ozan K. Tonguz |
| 2019 | Particle Detector Simulation using Generative Adversarial Networks with Domain Related Constraints. Gul Rukh Khattak, Sofia Vallecorsa, Federico Carminati, Gul Muhammad Khan |
| 2019 | Path Homologies of Deep Feedforward Networks. Samir Chowdhury, Thomas Gebhart, Steve Huntsman, Matvey Yutin |
| 2019 | Pattern and Anomaly Localization in Complex and Dynamic Data. Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz |
| 2019 | Pattern-RL: Multi-robot Cooperative Pattern Formation via Deep Reinforcement Learning. Jia Wang, Jiannong Cao, Milos Stojmenovic, Miao Zhao, Jinlin Chen, Shan Jiang |
| 2019 | PcapGAN: Packet Capture File Generator by Style-Based Generative Adversarial Networks. Baik Dowoo, Yujin Jung, Changhee Choi |
| 2019 | Pelee-Text: A Tiny Convolutional Neural Network for Multi-oriented Scene Text Detection. Manuel Alberto Cordova Neira, Luis G. L. Decker, Jose L. Flores-Campana, Andreza A. dos Santos, Jhonatas S. Conceição, Allan da Silva Pinto, Hélio Pedrini, Ricardo da Silva Torres |
| 2019 | Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm. Nikki Lijing Kuang, Clement H. C. Leung |
| 2019 | Persistent Homology Machine Learning for Fingerprint Classification. Noah Giansiracusa, Robert Giansiracusa, Chul Moon |
| 2019 | Physics-Guided Neural Network with Model Discrepancy Based on Upper Troposphere Wind Prediction. Ken-ichi Fukui, Junya Tanaka, Tomohiko Tomita, Masayuki Numao |
| 2019 | Power Flow Approximation Based on Graph Convolutional Networks. Valentin Bolz, Johannes Rueß, Andreas Zell |
| 2019 | Predicting Futures Market Movement using Deep Neural Networks. Tong Sun, Jia Wang, Jing Ni, Yu Cao, Benyuan Liu |
| 2019 | Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniques. Marmar Orooji, Jianhua Chen |
| 2019 | Predicting Music Popularity Using Music Charts. Carlos Vicente Soares Araujo, Marco Antônio Pinheiro de Cristo, Rafael Giusti |
| 2019 | Predictive Analytics and Statistical Learning for Waterflooding Operations in Reservoir Simulations. Xuan Liao, Mayank Tyagi |
| 2019 | Predictive Models with Resampling: A Comparative Study of Machine Learning Algorithms and their Performances on Handling Imbalanced Datasets. Adithi D. Chakravarthy, Sindhura Bonthu, Zhengxin Chen, Qiuming Zhu |
| 2019 | Predictive and Prescriptive Analytics for Performance Optimization: Framework and a Case Study on a Large-Scale Enterprise System. Indu John, Ravikumar Karumanchi, Shalabh Bhatnagar |
| 2019 | Prune and Replace NAS. Kevin Alexander Laube, Andreas Zell |
| 2019 | RF Transmitter Fingerprinting Exploiting Spatio-Temporal Properties in Raw Signal Data. Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao |
| 2019 | RNN-Based Classifier to Detect Stealthy Malware using Localized Features and Complex Symbolic Sequence. Sanket Shukla, Gaurav Kolhe, Sai Manoj P. D., Setareh Rafatirad |
| 2019 | Radar Gesture Recognition System in Presence of Interference using Self-Attention Neural Network. Souvik Hazra, Avik Santra |
| 2019 | Radar-Based Human Target Detection using Deep Residual U-Net for Smart Home Applications. Michael Stephan, Avik Santra |
| 2019 | Radar-Based Non-intrusive Fall Motion Recognition using Deformable Convolutional Neural Network. Yogesh Shankar, Souvik Hazra, Avik Santra |
| 2019 | Ranking Clusters of Postal Codes to Improve Recruitment in the Canadian Armed Forces. Ryuichi Ueno, Robert M. Bryce, Dragos Calitoiu |
| 2019 | Rare Geometries: Revealing Rare Categories via Dimension-Driven Statistics. Henry Kvinge, Elin Farnell, Jingya Li, Yujia Chen |
| 2019 | Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting. Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Maxwell Hostetter, Rafal A. Angryk, Manolis K. Georgoulis, Sushant S. Mahajan |
| 2019 | Recurrent Dilated DenseNets for a Time-Series Segmentation Task. Alexander Fuchs, Robin Priewald, Franz Pernkopf |
| 2019 | Region Based Anomaly Detection with Real-Time Training and Analysis. Philip A. Adey, Oliver K. Hamilton, Magnus Bordewich, Toby P. Breckon |
| 2019 | Regularization Learning for Image Recognition. Xinjie Lan, Kenneth E. Barner |
| 2019 | Reordering Genomic Sequences for Enhanced Classification via Compression Analytics. Christina L. Ting, Renee Gooding, Richard V. Field Jr., Jacob Caswell |
| 2019 | Risk-Based Dynamic Pricing via Failure Prediction. Chi Zhang, Chetan Gupta, Seiji Joichi, Ahmed K. Farahat, Huijuan Shao |
| 2019 | Robustness Evaluation of Deep Learning Models Based on Local Prediction Consistency. Ziqiang Shi, Chaoliang Zhong, Yasuto Yokota, Wensheng Xia, Jun Sun |
| 2019 | Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment. Sayan Chakraborty, Smit Shah, Kiumars Soltani, Anna Swigart |
| 2019 | SVM-Based Segmentation of Home Appliance Energy Measurements. Marc Wenninger, Dominik Stecher, Jochen Schmidt |
| 2019 | Sampling Real Algebraic Varieties for Topological Data Analysis. Emilie Dufresne, Parker B. Edwards, Heather A. Harrington, Jonathan D. Hauenstein |
| 2019 | Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes. Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ashwin Shashidharan, Benjamin Dutton, Ranga Raju Vatsavai |
| 2019 | Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained Devices. Abhijith Ragav, Nanda Harishankar Krishna, Naveen Narayanan, Kevin Thelly, Vineeth Vijayaraghavan |
| 2019 | Semi-Supervised Discriminative Transfer Learning in Cross-Language Text Classification. Mingon Kang, Ashis Kumer Biswas, Dong-Chul Kim, Jean Gao |
| 2019 | Shapley Value Approximation with Divisive Clustering. Kevin Corder, Keith Decker |
| 2019 | Single-Net Continual Learning with Progressive Segmented Training. Xiaocong Du, Gouranga Charan, Frank Liu, Yu Cao |
| 2019 | Software Fault Prediction Based on Fault Probability and Impact. Salim Moudache, Mourad Badri |
| 2019 | Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams. Yordanka Karayaneva, Sara Sharifzadeh, Yanguo Jing, Kevin Chetty, Bo Tan |
| 2019 | Sparse Super-Regular Networks. Andrew W. E. McDonald, Ali Shokoufandeh |
| 2019 | Spatio-Temporal FAST 3D Convolutions for Human Action Recognition. Alexandros Stergiou, Ronald Poppe |
| 2019 | State Summarization of Video Streams for Spatiotemporal Query Matching in Complex Event Processing. Piyush Yadav, Dibya Prakash Das, Edward Curry |
| 2019 | Stochastic Coordinate Descent for 01 Loss and Its Sensitivity to Adversarial Attacks. Meiyan Xie, Yunzhe Xue, Usman Roshan |
| 2019 | Style-Aware Neural Model with Application in Authorship Attribution. Fereshteh Jafariakinabad, Kien A. Hua |
| 2019 | Suggestion Mining from Online Reviews usingRandom Multimodel Deep Learning. Feng Liu, Liangji Wang, Xiaofeng Zhu, Dingding Wang |
| 2019 | Supervised Classification of EEG Signals with Score Threshold Regulation for Pseudo-Online Asynchronous Detection of Gait Intention. S. M. Shafiul Hasan, Masudur R. Siddiquee, Ou Bai |
| 2019 | Supervised Machine Learning Approach for Effective Supplier Classification. Ramkumar Harikrishnakumar, Alok Dand, Saideep Nannapaneni, Krishna Krishnan |
| 2019 | T-REC: Towards Accurate Bug Triage for Technical Groups. Cícero Augusto de Lara Pahins, Fabrício D'Morison, Thiago M. Rocha, Larissa M. Almeida, Arthur F. Batista, Diego F. Souza |
| 2019 | Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS Patients. Dan Halbersberg, Boaz Lerner |
| 2019 | Text Classification via Network Topology: A Case Study on the Holy Quran. Mehmet Emin Aktas, Esra Akbas |
| 2019 | Text Similarity in Vector Space Models: A Comparative Study. Omid Shahmirzadi, Adam Lugowski, Kenneth Younge |
| 2019 | The Effect of Time on the Maintenance of a Predictive Model. Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya |
| 2019 | The Machine Learning Models for Activity Recognition Applications with Wearable Sensors. Igor Khokhlov, Leon Reznik, Rohit Bhaskar |
| 2019 | Through-Wall Pose Imaging in Real-Time with a Many-to-Many Encoder/Decoder Paradigm. Kevin Meng, Yu Meng |
| 2019 | Time Series Anomaly Detection from a Markov Chain Perspective. Iman Vasheghani Farahani, Alex Chien, Russell E. King, Michael G. Kay, Brad Klenz |
| 2019 | Time-Series Data Analysis for Classification of Noisy and Incomplete Internet-of-Things Datasets. Michael S. Postol, Candace Diaz, Robert Simon, Drew Wicke |
| 2019 | Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling. Parminder Bhatia, Kristjan Arumae, Busra Celikkaya |
| 2019 | Towards Real-Time Detection and Mitigation of Driver Frustration using SVM. Sebastian Zepf, Tobias Stracke, Alexander Schmitt, Florian van de Camp, Jürgen Beyerer |
| 2019 | Towards Real-Time Detection of Squamous Pre-Cancers from Oesophageal Endoscopic Videos. Xiaohong W. Gao, Barbara Braden, Stephen Taylor, Wei Pang |
| 2019 | Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection. Sven Nomm, Alejandro Guerra-Manzanares, Hayretdin Bahsi |
| 2019 | Uncertainty-Aware Personalized Readability Assessments for Second Language Learners. Yo Ehara |
| 2019 | Understanding Cohesion in Writings and Speech of Schizophrenia Patients. Amal AlQahtani, Efsun Sarioglu Kayi, Mona T. Diab |
| 2019 | Understanding Early Childhood Obesity via Interpretation of Machine Learning Model Predictions. Xueqin Pang, Christopher B. Forrest, Félice Lê-Scherban, Aaron J. Masino |
| 2019 | Unsupervised Learning on the Health and Retirement Study using Geometric Data Analysis. Reinaldo Sanchez-Arias, Roberto Williams Batista |
| 2019 | Unsupervised Topic Model Based Text Network Construction for Learning Word Embeddings. Sun Sunnie Chung, Michael D'Arcy |
| 2019 | Urban Street Contexts Classification Using Convolutional Neural Networks and Streets Imagery. Fahad Alhasoun, Marta C. González |
| 2019 | Using Bidirectional Long Short Term Memory with Attention Layer to Estimate Driver Behavior. Shokoufeh Monjezi Kouchak, Ashraf Gaffar |
| 2019 | Using Convolutional Neural Networks to Extract Keywords and Keyphrases: A Case Study for Foodborne Illnesses. Jingjing Wang, Fei Song, Kavita Walia, Jeffery Farber, Rozita A. Dara |
| 2019 | Using Machine Learning to Improve Surgical Outcomes. Sindhura Bonthu, Priscila Rodrigues Armijo, Tiffany Tanner, Qiuming Zhu |
| 2019 | Using Text Mining to Categorize the Purpose of Public Spending for the Benefit of Transparency and Accountability. Mauricio Barros de Jesus, Gladston Luiz da Silva, Marcelo Ladeira, Gustavo Cordeiro Galvão Van Erven |
| 2019 | Utilising Evolutionary Algorithms to Design Granular Materials for Industrial Applications. Gary W. Delaney, David Howard, Krystal De Napoli |
| 2019 | Weakly Supervised Deep Learning for Detecting and Counting Dead Cells in Microscopy Images. Siteng Chen, Ao Li, Kathleen Lasick, Julie Huynh, Linda S. Powers, Janet Roveda, Andrew Paek |
| 2019 | Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev |
| 2019 | Web User Authentication Using Chosen Word Keystroke Dynamics. Khandaker Abir Rahman, Deepak Neupane, Abdulrahman Zaiter, Md. Shafaeat Hossain |
| 2019 | When to Pull Starting Pitchers in Major League Baseball? A Data Mining Approach. Michael Woodham, Jason Hawkins, Ankita Singh, Shayok Chakraborty |
| 2019 | Widened Learning of Index Tracking Portfolios. Iuliia Gavriushina, Oliver Sampson, Michael R. Berthold, Winfried Pohlmeier, Christian Borgelt |
| 2019 | Wireless Indoor Positioning Using Online Machine Learning. Sheng Huang, Andri Ashfahani, Mahardhika Pratama |
| 2019 | Word Embedding by Combining Resources and Integrating Techniques. Kazem Qazanfari, Abdou Youssef |
| 2019 | ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. Arunkumar Bagavathi, Siddharth Krishnan, Sanjay Subrahmanyan, S. L. Narasimhan |