Online learning from data streams with varying feature spaces E Beyazit, J Alagurajah, X Wu AAAI 33, 3232-3239, 2019 | 52 | 2019 |
Toward mining capricious data streams: A generative approach Y He, B Wu, D Wu, E Beyazit, S Chen, X Wu IEEE transactions on neural networks and learning systems 32 (3), 1228-1240, 2020 | 44 | 2020 |
Online learning from capricious data streams: a generative approach Y He, B Wu, D Wu, E Beyazit, S Chen, X Wu International Joint Conference on Artificial Intelligence Main track, 2019 | 42 | 2019 |
Cost efficient repository management for cloud-based on-demand video streaming M Darwich, E Beyazit, MA Salehi, M Bayoumi 2017 5th IEEE international conference on mobile cloud computing, services …, 2017 | 30 | 2017 |
Cost-efficient cloud-based video streaming through measuring hotness M Darwich, MA Salehi, E Beyazit, M Bayoumi The Computer Journal 62 (5), 641-656, 2019 | 18 | 2019 |
Supervised Data Synthesizing and Evolving–A Framework for Real-World Traffic Crash Severity Classification Y He, D Wu, E Beyazit, X Sun, X Wu ICTAI, 163-170, 2018 | 13 | 2018 |
Learning simplified decision boundaries from trapezoidal data streams E Beyazit, M Hosseini, A Maida, X Wu ICANN, 508-517, 2018 | 10 | 2018 |
Learning Interpretable Representations with Informative Entanglements E Beyazit, XY Doruk Tuncel, NF Tzeng, X Wu IJCAI, 1970-1976, 2020 | 6 | 2020 |
An inductive bias for tabular deep learning E Beyazit, J Kozaczuk, B Li, V Wallace, B Fadlallah Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Online Learning with Varying Feature Spaces E Beyazit University of Louisiana at Lafayette, 2021 | 1 | 2021 |
Online Learning to Accelerate Neural Network Inference with Traveling Classifiers E Beyazit, Y He, NF Tzeng, X Wu ECAI, 1016-1023, 2020 | 1 | 2020 |