Daby Sow

36 papers A* 3A 2Misc 6Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Think Locally, Explain Globally: Graph-Guided LLM Investigations via Local Reasoning and Belief Propagation.
CoRR
Saurabh Jha, Rohan R. Arora, Bhavya, Noah Zheutlin, Paulina Toro Isaza, Laura Shwartz, Yu Deng, Daby Sow, Ruchi Mahindru, Ruchir Puri
2025 J jnl
Characterizing GPU Resilience and Impact on AI/HPC Systems.
CoRR
Shengkun Cui, Archit Patke, Ziheng Chen, Aditya Ranjan, Hung Nguyen, Phuong Cao, Saurabh Jha, Brett M. Bode, Gregory H. Bauer, Chandra Narayanaswami, Daby Sow, Catello Di Martino, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2025 — conf
Characterizing Modern GPU Resilience and Impact in HPC Systems: A Case Study of A100 GPUs.
DSN-W
Shengkun Cui, Archit Patke, Ziheng Chen, Aditya Ranjan, Hung Nguyen, Phuong Cao, Brett M. Bode, Gregory H. Bauer, Saurabh Jha, Chandra Narayanaswami, Daby Sow, Catello Di Martino, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2025 A* conf
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.
ICML
Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Jae-wook Ahn, Debanjana Kar, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri
2025 J jnl
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.
CoRR
Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Pavankumar Murali, Jae-wook Ahn, Debanjana Kar, Ameet Rahane, Carlos Fonseca, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri
2025 A conf
Story of Two GPUs: Characterizing the Resilience of Hopper H100 and Ampere A100 GPUs.
SC
Shengkun Cui, Archit Patke, Hung Nguyen, Aditya Ranjan, Ziheng Chen, Phuong Cao, Gregory H. Bauer, Brett M. Bode, Catello Di Martino, Saurabh Jha, Chandra Narayanaswami, Daby Sow, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2024 J jnl
GreenABR+: Generalized Energy-Aware Adaptive Bitrate Streaming.
ACM Trans. Multim. Comput. Commun. Appl.
Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslav Zola, Daby Sow
2023 J jnl
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data.
ACM Trans. Inf. Syst.
Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li
2022 J jnl
Attack Techniques and Threat Identification for Vulnerabilities.
CoRR
Constantin Adam, Muhammed Fatih Bulut, Daby Sow, Steven Ocepek, Chris Bedell, Lilian Ngweta
2022 J jnl
Automated Compliance Blueprint Optimization with Artificial Intelligence.
CoRR
Abdulhamid Adebayo, Daby Sow, Muhammed Fatih Bulut
2022 A conf
GreenABR: energy-aware adaptive bitrate streaming with deep reinforcement learning.
MMSys
Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslaw Zola, Daby Sow
2022 J jnl
Human-centered explainability for life sciences, healthcare, and medical informatics.
Patterns
Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed F. Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer
2022 J jnl
Vulnerability Prioritization: An Offensive Security Approach.
CoRR
Muhammed Fatih Bulut, Abdulhamid Adebayo, Daby Sow, Steve Ocepek
2021 Misc conf
A Comparative Time-to-Event Analysis Across Health Systems.
AMIA
Mohamed F. Ghalwash, Prithwish Chakraborty, Akira Koseki, Hiroki Yanagisawa, Toshiya Iwamori, Ray Tokumasu, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki, Michiharu Kudo, Daby Sow
2021 J jnl
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.
CoRR
Prithwish Chakraborty, James V. Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed F. Ghalwash, Zach Shahn, Parthasarathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Yuen-Reed, Kenney Ng, Daby Sow, Bradley A. Malin
2021 J jnl
Disease network delineates the disease progression profile of cardiovascular diseases.
J. Biomed. Informatics
Zefang Tang, Yiqin Yu, Kenney Ng, Daby Sow, Jianying Hu, Jing Mei
2021 Misc conf
Impact of Clinical and Genomic Factors on COVID-19 Disease Severity.
AMIA
Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow
2021 — conf
Phenotypical ontology driven framework for multi-task learning.
CHIL
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2021 J jnl
Question-Driven Design Process for Explainable AI User Experiences.
CoRR
Q. Vera Liao, Milena Pribic, Jaesik Han, Sarah Miller, Daby Sow
2021 Misc conf
Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology.
AMIA
Shruthi Chari, Prithwish Chakraborty, Oshani Seneviratne, Mohamed F. Ghalwash, Daniel M. Gruen, Daby Sow, Deborah L. McGuinness
2020 J jnl
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records.
CoRR
Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty, Bibo Hao, Italo Buleje, Piyush Madan, James V. Codella, Antonio Foncubierta, Divya Pathak, Sarah Miller, Amol Rajmane, Shannon Harrer, Gigi Yuan-Reed, Daby Sow
2020 — conf
A Multi-Task Learning Approach to Personalized Progression Modeling.
ICHI
Mohamed F. Ghalwash, Daby Sow
2020 Misc conf
Finding Causal Mechanistic Drug-Drug Interactions from Observational Data.
AMIA
Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Chandramouli Maduri, Daby Sow, Zachary Shahn
2020 J jnl
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes.
CoRR
Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman
2020 Misc conf
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients.
AMIA
Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman
2020 J jnl
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment.
CoRR
Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman
2020 J jnl
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction.
CoRR
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2020 J jnl
Phenotypical Ontology Driven Framework for Multi-Task Learning.
CoRR
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
2020 A* conf
Tutorial on Human-Centered Explainability for Healthcare.
KDD
Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney
2019 J jnl
Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records.
CoRR
Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow
2019 A* conf
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data.
KDD
Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng
2019 J jnl
Reflections on Successful Research in Artificial Intelligence: An Introduction.
AI Mag.
Ching-Hua Chen, James A. Hendler, Sabbir M. Rashid, Oshani Seneviratne, Daby Sow, Biplav Srivastava
2019 J jnl
Reflections on the Ingredients for Success in AI Research: An Interview with Arvind Gupta.
AI Mag.
Arvind Gupta, Biplav Srivastava, Daby Sow, Ching-Hua Chen, Oshani Seneviratne
2019 — conf
eXITs: An Ensemble Approach for Imputing Missing EHR Data.
ICHI
James V. Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed F. Ghalwash, Zijun Yao, Daby Sow
2018 Misc conf
Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions.
AMIA
Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow
2018 — conf
Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data.
ICHI
Oliver Ren, Alistair E. W. Johnson, Eric P. Lehman, Matthieu Komorowski, Jerome Aboab, Fengyi Tang, Zach Shahn, Daby Sow, Roger G. Mark, Li-Wei H. Lehman