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Ege Beyazit
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2020 – today
- 2023
- [c8]Ege Beyazit, Jonathan Kozaczuk, Bo Li, Vanessa Wallace, Bilal Fadlallah:
An Inductive Bias for Tabular Deep Learning. NeurIPS 2023 - 2021
- [j2]Yi He
, Baijun Wu, Di Wu
Toward Mining Capricious Data Streams: A Generative Approach. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1228-1240 (2021) - 2020
- [c7]Ege Beyazit, Yi He, Nian-Feng Tzeng, Xindong Wu:
Online Learning to Accelerate Neural Network Inference with Traveling Classifiers. ECAI 2020: 1016-1023 - [c6]Ege Beyazit, Doruk Tuncel, Xu Yuan
Learning Interpretable Representations with Informative Entanglements. IJCAI 2020: 1970-1976 - [i1]Mahmoud Darwich, Ege Beyazit, Mohsen Amini Salehi, Magdy A. Bayoumi:
Cost Efficient Repository Management for Cloud-Based On-Demand Video Streaming. CoRR abs/2012.00597 (2020)
2010 – 2019
- 2019
- [j1]Mahmoud Darwich
Cost-Efficient Cloud-Based Video Streaming Through Measuring Hotness. Comput. J. 62(5): 641-656 (2019) - [c5]Ege Beyazit, Jeevithan Alagurajah, Xindong Wu:
Online Learning from Data Streams with Varying Feature Spaces. AAAI 2019: 3232-3239 - [c4]Yi He
Online Learning from Capricious Data Streams: A Generative Approach. IJCAI 2019: 2491-2497 - 2018
- [c3]Ege Beyazit, Matin Hosseini, Anthony Maida, Xindong Wu:
Learning Simplified Decision Boundaries from Trapezoidal Data Streams. ICANN (1) 2018: 508-517 - [c2]Yi He
Supervised Data Synthesizing and Evolving - A Framework for Real-World Traffic Crash Severity Classification. ICTAI 2018: 163-170 - 2017
- [c1]Mahmoud Darwich
Cost Efficient Repository Management for Cloud-Based On-demand Video Streaming. MobileCloud 2017: 39-44
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