Ragib Ahsan

12 papers A* 2A 2Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Relational Causal Discovery with Latent Confounders.
UAI
Matteo Negro, Andrea Piras, Ragib Ahsan, David Arbour, Elena Zheleva
2025 J jnl
Relational Causal Discovery with Latent Confounders.
CoRR
Andrea Piras, Matteo Negro, Ragib Ahsan, David Arbour, Elena Zheleva
2023 A* conf
Learning Relational Causal Models with Cycles through Relational Acyclification.
AAAI
Ragib Ahsan, David Arbour, Elena Zheleva
2022 J jnl
Learning Relational Causal Models with Cycles through Relational Acyclification.
CoRR
Ragib Ahsan, David Arbour, Elena Zheleva
2022 J jnl
Non-Parametric Inference of Relational Dependence.
CoRR
Ragib Ahsan, Zahra Fatemi, David Arbour, Elena Zheleva
2022 A conf
Non-parametric inference of relational dependence.
UAI
Ragib Ahsan, Zahra Fatemi, David Arbour, Elena Zheleva
2022 — conf
Relational Causal Models with Cycles: Representation and Reasoning.
CLeaR
Ragib Ahsan, David Arbour, Elena Zheleva
2022 J jnl
Relational Causal Models with Cycles: Representation and Reasoning.
CoRR
Ragib Ahsan, David Arbour, Elena Zheleva
2021 J jnl
A Comprehensive Analysis on Detecting Chronic Kidney Disease by Employing Machine Learning Algorithms.
EAI Endorsed Trans. Pervasive Health Technol.
Mirza Muntasir Nishat, Fahim Faisal, Rezuanur Rahman Dip, Sarker Md. Nasrullah, Ragib Ahsan, Fahim Shikder, Md. Asfi-Ar-Raihan Asif, Md Ashraful Hoque
2020 — conf
A Platform for Monolithic Back End of Line III-V Integration.
DRC
Jun Tao, Debarghya Sarkar, Sizhe Weng, Hyun Uk Chae, Ragib Ahsan, Rehan Kapadia
2020 A* conf
Correcting for Selection Bias in Learning-to-rank Systems.
WWW
Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, Elena Zheleva
2020 J jnl
Correcting for Selection Bias in Learning-to-rank Systems.
CoRR
Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, Elena Zheleva