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Journal Articles
- 2021
[j1]Mirza Muntasir Nishat, Fahim Faisal, Rezuanur Rahman Dip, Sarker Md. Nasrullah, Ragib Ahsan, Fahim Shikder, Md. Asfi-Ar-Raihan Asif, Md Ashraful Hoque:
A Comprehensive Analysis on Detecting Chronic Kidney Disease by Employing Machine Learning Algorithms. EAI Endorsed Trans. Pervasive Health Technol. 7(29): e1 (2021)
Conference and Workshop Papers
- 2023
- [c5]Ragib Ahsan, David Arbour, Elena Zheleva:
Learning Relational Causal Models with Cycles through Relational Acyclification. AAAI 2023: 12164-12171 - 2022
- [c4]Ragib Ahsan, David Arbour, Elena Zheleva:
Relational Causal Models with Cycles: Representation and Reasoning. CLeaR 2022: 1-18 - [c3]Ragib Ahsan, Zahra Fatemi, David Arbour, Elena Zheleva:
Non-parametric inference of relational dependence. UAI 2022: 54-63 - 2020
- [c2]Jun Tao
, Debarghya Sarkar, Sizhe Weng, Hyun Uk Chae, Ragib Ahsan, Rehan Kapadia:
A Platform for Monolithic Back End of Line III-V Integration. DRC 2020: 1-2 - [c1]Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, Elena Zheleva:
Correcting for Selection Bias in Learning-to-rank Systems. WWW 2020: 1863-1873
Informal and Other Publications
- 2022
- [i4]Ragib Ahsan, David Arbour, Elena Zheleva:
Relational Causal Models with Cycles: Representation and Reasoning. CoRR abs/2202.10706 (2022) - [i3]Ragib Ahsan, Zahra Fatemi, David Arbour, Elena Zheleva:
Non-Parametric Inference of Relational Dependence. CoRR abs/2207.00163 (2022) - [i2]Ragib Ahsan, David Arbour, Elena Zheleva:
Learning Relational Causal Models with Cycles through Relational Acyclification. CoRR abs/2208.12210 (2022) - 2020
- [i1]Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, Elena Zheleva:
Correcting for Selection Bias in Learning-to-rank Systems. CoRR abs/2001.11358 (2020)
Coauthor Index
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