Aditya Lahiri - RankMe

17 papers A* 1C 2Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Targeting colorectal cancer liver metastasis through repurposing metabolic and immune inhibitors: A theoretical study. Comput. Biol. Chem. Madhurima Mondal, Aditya Lahiri, Aniruddha Datta
2025	J	`jnl`	Integrating Immunotherapy With Targeted Therapy: Evaluating Efficacy in NSCLC Treatment Through Computational Analysis of Gene Regulatory Networks. IEEE Access Pranabesh Bhattacharjee, Aditya Lahiri, Tanmay Sindhwani, Norman Peter Reeves, Aniruddha Datta
2024	J	`jnl`	A Computational Study of Efficient Combinations of FDA-Approved Drugs and Dietary Supplements in Endometrial Cancer. IEEE Access Madhurima Mondal, Aditya Lahiri, Haswanth Vundavilli, Giuseppe Del Priore, Norman Peter Reeves, Aniruddha Datta
2024	—	`conf`	Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. CVPR Workshops Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli
2024	J	`jnl`	Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. CoRR Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli
2023	C	`conf`	Combination Supplements for Endometrial Cancer. BIBE Madhurima Mondal, Aditya Lahiri, Haswanth Vundavilli, Giuseppe Del Priore, Norman Peter Reeves, Aniruddha Datta
2023	J	`jnl`	Deterministic Algorithmic Approaches to Solve Generalised Wordle. CoRR Aditya Lahiri, Naigam Shah, Shivaank Agarwal, Vignesh Nandakumar
2023	J	`jnl`	Drug Target Identification in Triple Negative Breast Cancer Stem Cell Pathways: A Computational Study of Gene Regulatory Pathways Using Boolean Networks. IEEE Access Aditya Lahiri, Haswanth Vundavilli, Madhurima Mondal, Pranabesh Bhattacharjee, Brian Decker, Giuseppe Del Priore, Norman Peter Reeves, Aniruddha Datta
2023	C	`conf`	Precision Targeting of Non-Small Cell Lung Cancer: Identifying Optimal Drug Targets and FDA-Approved Combinations for Enhanced Therapeutic Efficacy. BIBE Pranabesh Bhattacharjee, Aditya Lahiri, Norman Peter Reeves, Aniruddha Datta
2022	J	`jnl`	Combining Counterfactuals With Shapley Values To Explain Image Models. CoRR Aditya Lahiri, Kamran Alipour, Ehsan Adeli, Babak Salimi
2022	A*	`conf`	Explainable AI: Foundations, Applications, Opportunities for Data Management Research. ICDE Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi
2022	—	`conf`	Explainable AI: Foundations, Applications, Opportunities for Data Management Research. SIGMOD Conference Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi
2022	J	`jnl`	Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces. CoRR Kamran Alipour, Aditya Lahiri, Ehsan Adeli, Babak Salimi, Michael J. Pazzani
2021	J	`jnl`	Pitfalls of Explainable ML: An Industry Perspective. CoRR Sahil Verma, Aditya Lahiri, John P. Dickerson, Su-In Lee
2021	J	`jnl`	Predicting Airbnb Rental Prices Using Multiple Feature Modalities. CoRR Aditya Ahuja, Aditya Lahiri, Aniruddha Das
2020	J	`jnl`	Accurate and Intuitive Contextual Explanations using Linear Model Trees. CoRR Aditya Lahiri, Narayanan Unny Edakunni
2018	—	`conf`	Bayesian Modeling of Plant Drought Resistance Pathway. BCB Aditya Lahiri, Priyadharshini S. Venkatasubramani, Aniruddha Datta