| Concept drift detection for streaming data H Wang, Z Abraham 2015 international joint conference on neural networks (IJCNN), 1-9, 2015 | 166 | 2015 |
| Concept drift detection with hierarchical hypothesis testing S Yu, Z Abraham Proceedings of the 2017 SIAM international conference on data mining, 768-776, 2017 | 69 | 2017 |
| Climate scenario development and applications for local/regional climate change impact assessments: an overview for the non‐climate scientist: part II: considerations when … JA Winkler, GS Guentchev, M Liszewska, Perdinan, PN Tan Geography Compass 5 (6), 301-328, 2011 | 69 | 2011 |
| Concept drift detection and adaptation with hierarchical hypothesis testing S Yu, Z Abraham, H Wang, M Shah, Y Wei, JC Príncipe Journal of the Franklin Institute 356 (5), 3187-3215, 2019 | 55 | 2019 |
| Securing sensor nodes against side channel attacks K Pongaliur, Z Abraham, AX Liu, L Xiao, L Kempel 2008 11th IEEE High Assurance Systems Engineering Symposium, 353-361, 2008 | 49 | 2008 |
| Request-and-reverify: Hierarchical hypothesis testing for concept drift detection with expensive labels S Yu, X Wang, JC Príncipe arXiv preprint arXiv:1806.10131, 2018 | 45 | 2018 |
| An integrated framework for simultaneous classification and regression of time-series data Z Abraham, PN Tan Proceedings of the 2010 SIAM international conference on data mining, 653-664, 2010 | 33 | 2010 |
| Advances in Knowledge Discovery and Data Mining, Part II: 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010, Proceedings MJ Zaki, JX Yu, B Ravindran, V Pudi Springer, 2010 | 21 | 2010 |
| Position preserving multi-output prediction Z Abraham, PN Tan, Perdinan, J Winkler, S Zhong, M Liszewska Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 18 | 2013 |
| Distribution regularized regression framework for climate modeling Z Abraham, PN Tan, Perdinan, JA Winkler, S Zhong, M Liszewska Proceedings of the 2013 SIAM International Conference on Data Mining, 333-341, 2013 | 12 | 2013 |
| A semi-supervised framework for simultaneous classification and regression of zero-inflated time series data with application to precipitation prediction Z Abraham, PN Tan 2009 IEEE International Conference on Data Mining Workshops, 644-649, 2009 | 12 | 2009 |
| Concept drift detection for imbalanced stream data H Wang, Z Abraham arXiv preprint arXiv:1504.01044, 2015 | 8 | 2015 |
| Distribution preserving multi-task regression for spatio-temporal data X Liu, PN Tan, Z Abraham, L Luo, P Hatami 2018 IEEE International Conference on Data Mining (ICDM), 1134-1139, 2018 | 6 | 2018 |
| Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling. Z Abraham, PN Tan, F Xin CIDU, 92-106, 2011 | 6 | 2011 |
| Empirical comparison of active learning strategies for handling temporal drift M Kumar, R Ghani, M Shah, JG Carbonell, AI Rudnicky ACM Transactions on Embedded Computing Systems 9 (4), 161-168, 2010 | 4 | 2010 |
| Multi-task learning and its application to geospatio-temporal data J Xu Michigan State University, 2017 | 3 | 2017 |
| Multi-Objective Regression With Application To The Climate Domain Z Abraham Michigan State University, 2013 | 2 | 2013 |
| System and method for monitoring a manufacturing plant R Chen, S Kang, R Ghosh, S Srinivasan, Z Abraham US Patent 10,962,954, 2021 | 1 | 2021 |
| Saturation distribution prediction method for the spilled hydrocarbon in soil Z Abraham, I Juettner, B Muvrin WIT Transactions on Ecology and the Environment 68, 2004 | 1 | 2004 |
| Vital signs monitoring system and method C Peters, M Shah, Z Abraham, T Rocznik, SY Yee US Patent 11,660,052, 2023 | | 2023 |
