Daby Sow
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
6
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DSN | Characterizing Modern GPU Resilience and Impact in HPC Systems: A Case Study of A100 GPUs. | 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 | ICML | ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. | 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 | SC | Story of Two GPUs: Characterizing the Resilience of Hopper H100 and Ampere A100 GPUs. | 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 |
| 2022 | MMSys | GreenABR: energy-aware adaptive bitrate streaming with deep reinforcement learning. | Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslaw Zola, Daby Sow |
| 2021 | AMIA | Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology. | Shruthi Chari, Prithwish Chakraborty, Oshani Seneviratne, Mohamed F. Ghalwash, Daniel M. Gruen, Daby Sow, Deborah L. McGuinness |
| 2021 | AMIA | Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. | Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmn-Senz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow |
| 2021 | AMIA | A Comparative Time-to-Event Analysis Across Health Systems. | Mohamed F. Ghalwash, Prithwish Chakraborty, Akira Koseki, Hiroki Yanagisawa, Toshiya Iwamori, Ray Tokumasu, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki, Michiharu Kudo, Daby Sow |
| 2020 | AMIA | Finding Causal Mechanistic Drug-Drug Interactions from Observational Data. | Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Chandramouli Maduri, Daby Sow, Zachary Shahn |
| 2020 | AMIA | Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients. | Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman |
| 2020 | KDD | Tutorial on Human-Centered Explainability for Healthcare. | Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney |
| 2019 | KDD | PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. | Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng |
| 2018 | AMIA | Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions. | Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow |