Shibal Ibrahim
Cited by
Cited by
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance
S Ibrahim, N Ponomareva, R Mazumder
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
Networked control of single-phase induction motor air conditioners for constrained power systems
S Ibrahim, MS Hassan, NA Zaffar
2015 IEEE 24th International Symposium on Industrial Electronics (ISIE), 524-529, 2015
Networked PFC drive for SPPSCIM air conditioners to enable elastic load operation in constrained power systems
S Ibrahim, NA Zaffar
IECON 2015-41st Annual Conference of the IEEE Industrial Electronics Society …, 2015
Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series
S Ibrahim, W Chen, Y Zhu, PY Chen, Y Zhang, R Mazumder
Proceedings of the Third ACM International Conference on AI in Finance, 480-488, 2022
Predicting census survey response rates via interpretable nonparametric additive models with structured interactions
S Ibrahim, R Mazumder, P Radchenko, E Ben-David
arXiv preprint arXiv:2108.11328, 2021
Nonparametric finite mixture models with possible shape constraints: A cubic newton approach
H Wang, S Ibrahim, R Mazumder
arXiv preprint arXiv:2107.08535, 2021
Gate Automation for closed loop control of distributary irrigation canals in the Indus basin
S Ibrahim, M Soban, F Akhtar, A Muhammad
2015 13th International Conference on Frontiers of Information Technology …, 2015
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles
S Ibrahim, H Hazimeh, R Mazumder
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search
S Ibrahim, W Chen, H Hazimeh, N Ponomareva, R Mazumder
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Knowledge graphs in machine learning decision optimization
Y Zhu, Y Zhang, PY Chen, R Mazumder, S Ibrahim, W Chen
US Patent App. 17/183,870, 2022
Time-Series Forecasting using Dynamic Graphs: Case Studies with Dyn-STGCN and Dyn-GWN on Finance and Traffic Datasets
S Ibrahim, MR Tell, R Mazumder
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