| 2019 | GO-FOR: A Goal-Oriented Framework for Ontology Reuse. | Cssio Chaves Reginato, Jordana Sarmenghi Salamon, Gabriel Nogueira, Monalessa Perini Barcellos, Vtor E. Silva Souza, Maxwell E. Monteiro |
| 2019 | Software Quality Prediction: An Investigation Based on Machine Learning. | Sandeep Reddivari, Jayalakshmi Raman |
| 2019 | Enhancing Software Requirements Cluster Labeling Using Wikipedia. | Sandeep Reddivari |
| 2019 | A Stock Index Prediction Framework: Integrating Technical and Topological Mesoscale Indicators. | Zi Qi, Zhan Bu, Xi Xiong, Hongliang Sun, Jie Cao, Chengcui Zhang |
| 2019 | Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform. | Rdiger Pryss, Dennis John, Manfred Reichert, Burkhard Hoppenstedt, Lukas Schmid, Winfried Schlee, Myra Spiliopoulou, Johannes Schobel, Robin Kraft, Marc Schickler, Berthold Langguth, Thomas Probst |
| 2019 | Context-Based Knowledge Discovery and Querying for Social Media Data. | Jedsada Phengsuwan, Nipun Balan Thekkummal, Tejal Shah, Philip James, Dhavalkumar Thakker, Rui Sun, Divya Pullarkatt, Hemalatha Thirugnanam, Maneesha Vinodini Ramesh, Rajiv Ranjan |
| 2019 | Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models. | Hieu Nguyen, Meeta Kalra, Muhammad Azam, Nizar Bouguila |
| 2019 | Billion-Scale Matrix Compression and Multiplication with Implications in Data Mining. | Michael Nelson, Sridhar Radhakrishnan, Chandra N. Sekharan |
| 2019 | Fake News Detection Using Bayesian Inference. | Fatma Najar, Nuha Zamzami, Nizar Bouguila |
| 2019 | Feature-Based Understanding of Human Emotions. | Jonathon Moody, Dong Hyun Jeong, Soo-Yeon Ji |
| 2019 | Deep Multi-Task Learning for Interpretable Glaucoma Detection. | Nooshin Mojab, Vahid Noroozi, Philip S. Yu, Joelle A. Hallak |
| 2019 | Using BERT to Process Chinese Ellipsis and Coreference in Clinic Dialogues. | Chuan-Jie Lin, Chao-Hsiang Huang, Chia-Hao Wu |
| 2019 | Example-Based Feature Tweaking Using Random Forests. | Tony Lindgren, Panagiotis Papapetrou, Isak Samsten, Lars Asker |
| 2019 | An Ensemble Machine Learning Method for Single and Clustered Cervical Cell Classification. | Mohammed Kuko, Mohammad Pourhomayoun |
| 2019 | EmoWei : Emotion-Oriented Personalized Weight Management System Based on Sentiment Analysis. | Jihyeon Kim, Uran Oh |
| 2019 | A Trusted Bluetooth Performance Evaluation Model for Brain Computer Interfaces. | Hassan Karim, Danda B. Rawat |
| 2019 | Towards Interpretable Deep Extreme Multi-Label Learning. | Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee |
| 2019 | An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering. | Sabin Kafle, Nisansa de Silva, Dejing Dou |
| 2019 | Deep Learning and Data Sampling with Imbalanced Big Data. | Justin M. Johnson, Taghi M. Khoshgoftaar |
| 2019 | Eye Tracking Area of Interest in the Context of Working Memory Capacity Tasks. | Gavindya Jayawardena, Anne Michalek, Sampath Jayarathna |
| 2019 | Analysis of Temporal Relationships between ASD and Brain Activity through EEG and Machine Learning. | Yasith Jayawardana, Mark Jaime, Sampath Jayarathna |
| 2019 | Machine Learning for Classification of Economic Recessions. | Bruce Jackson, Manjeet Rege |
| 2019 | ADQuaTe: An Automated Data Quality Test Approach for Constraint Discovery and Fault Detection. | Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray |
| 2019 | Evaluation of a Reusable Technique for Refining Social Media Query Criteria for Crowd-Sourced Sentiment for Decision Making. | Kimberley Hemmings-Jarrett, Julian Jarrett, M. Brian Blake |
| 2019 | A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data. | Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy |