| 2019 | Ensembles of Nested Dichotomies with Multiple Subset Evaluation. | Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes |
| 2019 | On Calibration of Nested Dichotomies. | Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes |
| 2019 | An Investigation on Multi View Based User Behavior Towards Spam Detection in Social Networks. | Darshika N. Koggalahewa, Yue Xu |
| 2019 | Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility. | R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa |
| 2019 | Online Data Fusion Using Incremental Tensor Learning. | Nguyen Lu Dang Khoa, Hongda Tian, Yang Wang, Fang Chen |
| 2019 | An Efficient and Resource-Aware Hashtag Recommendation Using Deep Neural Networks. | David Kao, Kuan-Ting Lai, Ming-Syan Chen |
| 2019 | Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias. | Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu |
| 2019 | Bridging the Gap Between Research and Production with CODE. | Yiping Jin, Dittaya Wanvarie, Phu T. V. Le |
| 2019 | Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network. | Canghong Jin, Haoqiang Liang, Dongkai Chen, Zhiwei Lin, Minghui Wu |
| 2019 | Spike Sorting with Locally Weighted Co-association Matrix-Based Spectral Clustering. | Wei Ji, Zhenbin Li, Yun Li |
| 2019 | Latent Gaussian-Multinomial Generative Model for Annotated Data. | Shuoran Jiang, Yarui Chen, Zhifei Qin, Jucheng Yang, Tingting Zhao, Chuanlei Zhang |
| 2019 | Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search. | Elias Jsaari, Ville Hyvnen, Teemu Roos |
| 2019 | Semantic Explanations in Ensemble Learning. | Md Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang |
| 2019 | Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification. | Tinglin Huang, Yulin He, De-Xin Dai, Wenting Wang, Joshua Zhexue Huang |
| 2019 | Overall Loss for Deep Neural Networks. | Hai Huang, Senlin Cheng, Liutong Xu |
| 2019 | Label Distribution Learning Based Age-Invariant Face Recognition. | Hai Huang, Senlin Cheng, Zhong Hong, Liutong Xu |
| 2019 | Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism. | En-Yu Hsu, Chien-Liang Liu, Vincent S. Tseng |
| 2019 | Dynamically Weighted Multi-View Semi-Supervised Learning for CAPTCHA. | Congqing He, Li Peng, Yuquan Le, Jiawei He |
| 2019 | Heterogeneous Item Recommendation for the Air Travel Industry. | Zhicheng He, Jie Liu, Guanghui Xu, Yalou Huang |
| 2019 | CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis. | Garima Gupta, Vishal Sunder, Ranjitha Prasad, Gautam Shroff |
| 2019 | Multi-task Learning for Target-Dependent Sentiment Classification. | Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty |
| 2019 | A Novel KNN Approach for Session-Based Recommendation. | Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang |
| 2019 | Robust Semi-supervised Representation Learning for Graph-Structured Data. | Lan-Zhe Guo, Tao Han, Yufeng Li |
| 2019 | Best from Top k Versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement Learning. | Yaocheng Gui, Qian Liu, Tingming Lu, Zhiqiang Gao |
| 2019 | Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers. | Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi |