| 2019 | Streaming Random Patches for Evolving Data Stream Classification. | Heitor Murilo Gomes, Jesse Read, Albert Bifet |
| 2019 | Random Features and Random Neurons for Brain-Inspired Big Data Analytics. | Mandar Gogate, Amir Hussain, Kaizhu Huang |
| 2019 | A Deep Learning Approach to Predict Parking Occupancy using Cluster Augmented Learning Method. | Soumya Suvra Ghosal, Abderrahman Bani, Amine Amrouss, Issmail El Hallaoui |
| 2019 | Tabular Cell Classification Using Pre-Trained Cell Embeddings. | Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely |
| 2019 | An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective. | Chuancai Ge, Yang Wang, Xike Xie, Hengchang Liu, Zhengyang Zhou |
| 2019 | DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation. | Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, Gang Chun |
| 2019 | CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare. | Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie |
| 2019 | DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums. | Yuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao |
| 2019 | Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. | Yifeng Gao, Jessica Lin |
| 2019 | Field-Aware Knowledge Tracing Machine by Modelling Students' Dynamic Learning Procedure and Item Difficulty. | Wenbin Gan, Yuan Sun, Shiwei Ye, Ye Fan, Yi Sun |
| 2019 | Automated Feature Enhancement for Predictive Modeling using External Knowledge. | Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, Miao Qi |
| 2019 | Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. | Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai |
| 2019 | How Will Sense of Values Change during Art Appreciation? | Kotaro Fukishima, Akinori Abe, Reina Kawada |
| 2019 | Standardization for Innovation with Data Exchange. | Yoshiaki Fukami |
| 2019 | Spatiotemporal Attention Networks for Wind Power Forecasting. | Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan |
| 2019 | XD-STOD: Cross-Domain Superresolution for Tiny Object Detection. | Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schss, Matthias Schubert |
| 2019 | Scoring Message Stream Anomalies in Railway Communication Systems. | Lucas Foulon, Serge Fenet, Christophe Rigotti, Denis Jouvin |
| 2019 | Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter. | Samah J. Fodeh, Taihua Li, Kevin Menczynski, Tedd Burgette, Andrew Harris, Georgeta Ilita, Satyan Rao, Jonathan Gemmell, Daniela Raicu |
| 2019 | Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text. | Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake |
| 2019 | Recent Advancements in Autonomous Intelligent Control Techniques: Design and Implementation. | Md Meftahul Ferdaus |
| 2019 | Genetic Algorithm Based Optimization of Deep Neural Network Ensemble for Personal Identification in Pedestrians Behaviors. | Xuanang Feng, Jianing Zhao, Eisuke Kita |
| 2019 | DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data. | Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, Fei Wang |
| 2019 | Exercise Difficulty Prediction in Online Education Systems. | Jiansheng Fang, Wei Zhao, Dongya Jia |
| 2019 | Large-Scale Personalized Delivery for Guaranteed Display Advertising with Real-Time Pacing. | Zhen Fang, Yang Li, Chuanren Liu, Wenxiang Zhu, Yu Zheng, Wenjun Zhou |
| 2019 | Spatial Interpolation with Message Passing Framework. | Evgeniy Faerman, Manuell Rogalla, Niklas Strau, Adrian Krger, Benedict Blmel, Max Berrendorf, Michael Fromm, Matthias Schubert |