Multiplicative Multitask Feature Learning X Wang, J Bi, S Yu, J Sun, M Song Journal of Machine Learning Research 17, 1-33, 2016 | 50 | 2016 |
Classification of neurological gait disorders using multi-task feature learning I Papavasileiou, W Zhang, X Wang, J Bi, L Zhang, S Han 2017 IEEE/ACM International Conference on Connected Health: Applications …, 2017 | 24 | 2017 |
Modeling uncertainty to improve personalized recommendations via Bayesian deep learning X Wang, S Kadıoğlu International Journal of Data Science and Analytics, 2021 | 18 | 2021 |
Detecting tympanostomy tubes from otoscopic images via offline and online training X Wang, TA Valdez, J Bi Computers in biology and medicine 61, 107-118, 2015 | 18 | 2015 |
Seq2Pat: Sequence-to-Pattern Generation for Constraint-based Sequential Pattern Mining X Wang, A Hosseininasab, C Pablo, K Serdar, WJ van Hoeve AAAIIAAI, 2022 | 15 | 2022 |
Bi-convex optimization to learn classifiers from multiple biomedical annotations X Wang, J Bi IEEE/ACM transactions on computational biology and bioinformatics 14 (3 …, 2016 | 12 | 2016 |
Learning classifiers from dual annotation ambiguity via a min–max framework J Bi, X Wang Neurocomputing 151, 891-904, 2015 | 11 | 2015 |
Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network D Ma, J Zhu, XB Song, X Wang Expert Systems with Applications, 119161, 2022 | 9 | 2022 |
Dichotomic Pattern Mining with Applications to Intent Prediction from Semi-Structured Clickstream Datasets X Wang, S Kadioglu arXiv preprint arXiv:2201.09178, 2022 | 8 | 2022 |
Optimized Item Selection to Boost Exploration for Recommender Systems S Kadıoğlu, B Kleynhans, X Wang Integration of Constraint Programming, Artificial Intelligence, and …, 2021 | 7 | 2021 |
Bayesian Deep Learning Based Exploration-Exploitation for Personalized Recommendation X Wang, S Kadioglu International Conference on Tools with Artificial Intelligence, 2019 | 7 | 2019 |
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach R Qiu, Y Jia, M Hadzikadic, M Dulin, X Niu, X Wang 2019 KDD Workshop on Applied Data Science for Healthcare, 2019 | 6 | 2019 |
Dichotomic Pattern Mining Integrated With Constraint Reasoning for Digital Behavior Analysis S Ghosh, S Yadav, X Wang, B Chakrabarty, S Kadıoğlu Frontiers in Artificial Intelligence 5, 2022 | 5 | 2022 |
A web-based application for visualizing the CMS referral network Y Jia, X Wang, RS Sedeh, Q Wu, N Cohen 2015 International Conference on Healthcare Informatics, 501-503, 2015 | 5 | 2015 |
Seq2Pat: Sequence‐to‐pattern generation to bridge pattern mining with machine learning S Kadıoğlu, X Wang, A Hosseininasab, WJ van Hoeve AI Magazine, 2023 | 4 | 2023 |
Collaborative Filtering via Learning Characteristics of Neighborhood based on Convolutional Neural Networks Y Jia, X Wang, J Zhang 2019 KDD Workshop on Deep Learning Practice for High-Dimensional Sparse Data, 2019 | 4 | 2019 |
Active Learning Meets Optimized Item Selection B Kleynhans, X Wang, S Kadıoğlu IJCAI 2021 Workshop on Data Science Meets Optimization, 2021 | 3 | 2021 |
An Empirical Study of Using An Ensemble Model in e-Commerce Taxonomy Classification Challenge. Y Jia, X Wang, H Cao, B Ru, T Yang SIRIG 2018 eCom Workshop, 2018 | 3 | 2018 |
Integration of Accountable Care Organization and Additional Hospital Data into CMS Referral B Ru, Q Wu, X Wang, L Yao, Y Jia IEEE International Conference on Healthcare Informatics (ICHI), 357-361, 2017 | 2 | 2017 |
Improvements on the Effectiveness and Scalibility of CMS Referral Analytics System X Wang, Q Wu, X Liu, Y Jia, N Cohen 2016 IEEE International Conference on Healthcare Informatics (ICHI), 289-292, 2016 | 2 | 2016 |