| On the dynamics of user engagement in news comment media L He, C Han, A Mukherjee, Z Obradovic, E Dragut Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (1 …, 2020 | 32 | 2020 |
| Joint learning of representation and structure for sparse regression on graphs C Han, S Zhang, M Ghalwash, S Vucetic, Z Obradovic Proceedings of the 2016 SIAM International Conference on Data Mining, 846-854, 2016 | 8 | 2016 |
| Learning a dynamic-based representation for multivariate biomarker time series classifications XH Cao, C Han, Z Obradovic 2018 IEEE International Conference on Healthcare Informatics (ICHI), 163-173, 2018 | 5 | 2018 |
| Temporal graph regression via structure-aware intrinsic representation learning C Han, XH Cao, M Stanojevic, M Ghalwash, Z Obradovic Proceedings of the 2019 SIAM International Conference on Data Mining, 360-368, 2019 | 4 | 2019 |
| Continuous conditional dependency network for structured regression C Han, M Ghalwash, Z Obradovic Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 3 | 2017 |
| Session-based News Recommendation from Temporal User Commenting Dynamics C Shen, C Han, L He, A Mukherjee, Z Obradovic, E Dragut 2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022 | 2 | 2022 |
| Time-to-event estimation by re-defining time XH Cao, C Han, LM Glass, A Kindman, Z Obradovic Journal of Biomedical Informatics 100, 103326, 2019 | | 2019 |
| A Distributable Convex Approach for Graph Structure Discovery C Han, N Albarakati, XH Cao, Z Obradovic 15th International Workshop on Mining and Learning with Graphs (MLG), 2019 | | 2019 |
| On The Predictive Modeling of Attributed Graphs C Han Temple University, 2019 | | 2019 |
Zoran ObradovicData Analytics and Biomedical Informatics Center, Temple UniversityVerifierad e-postadress på temple.edu
