| 2019 | A Fine-grained and Noise-aware Method for Neural Relation Extraction. | Jianfeng Qu, Wen Hua, Dantong Ouyang, Xiaofang Zhou, Ximing Li |
| 2019 | Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. | Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao |
| 2019 | Question Difficulty Prediction for Multiple Choice Problems in Medical Exams. | Zhaopeng Qiu, Xian Wu, Wei Fan |
| 2019 | Rating Mechanisms for Sustainability of Crowdsourcing Platforms. | Chenxi Qiu, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer |
| 2019 | Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. | Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin |
| 2019 | A Deep Neural Framework for Sales Forecasting in E-Commerce. | Yan Qi, Chenliang Li, Han Deng, Min Cai, Yunwei Qi, Yuming Deng |
| 2019 | BePT: A Behavior-based Process Translator for Interpreting and Understanding Process Models. | Chen Qian, Lijie Wen, Akhil Kumar |
| 2019 | Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. | Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding |
| 2019 | ATL: Autonomous Knowledge Transfer from Many Streaming Processes. | Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu |
| 2019 | Analyzing the Effects of Document's Opinion and Credibility on Search Behaviors and Belief Dynamics. | Suppanut Pothirattanachaikul, Takehiro Yamamoto, Yusuke Yamamoto, Masatoshi Yoshikawa |
| 2019 | Practicing the Art of Data Science. | Jian Pei |
| 2019 | Approximate Definitional Constructs as Lightweight Evidence for Detecting Classes Among Wikipedia Articles. | Marius Pasca |
| 2019 | Task-Guided Pair Embedding in Heterogeneous Network. | Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu |
| 2019 | Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction. | Zheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng |
| 2019 | NAD: Neural Network Aided Design for Textile Pattern Generation. | Zhifei Pang, Sai Wu, Dongxiang Zhang, Yunjun Gao, Gang Chen |
| 2019 | DTMBIO 2019: The Thirteenth International Workshop on Data and Text Mining in Biomedical Informatics. | Hyojung Paik, Ruibin Xi, Doheon Lee |
| 2019 | Understanding Data in the Blink of an Eye. | Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, Francesco Guerra |
| 2019 | TuneR: Fine Tuning of Rule-based Entity Matchers. | Matteo Paganelli, Paolo Sottovia, Francesco Guerra, Yannis Velegrakis |
| 2019 | LuPe: A System for Personalized and Transparent Data-driven Decisions. | Sarah Oppold, Melanie Herschel |
| 2019 | Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm. | Xiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, Chao Chen |
| 2019 | Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution. | Hao Nie, Xianpei Han, Ben He, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong |
| 2019 | ED2: A Case for Active Learning in Error Detection. | Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan |
| 2019 | Taming Social Bots: Detection, Exploration and Measurement. | Abdullah Mueen, Nikan Chavoshi, Amanda J. Minnich |
| 2019 | Insta-Search: Towards Effective Exploration of Knowledge Graphs. | Madhulika Mohanty, Maya Ramanath |
| 2019 | PODIUM: Probabilistic Datalog Analysis via Contribution Maximization. | Tova Milo, Yuval Moskovitch, Brit Youngmann |