Daby M. Sow

According to our database, Daby M. Sow authored at least 66 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GreenABR+: Generalized Energy-Aware Adaptive Bitrate Streaming.

Bekir Oguzhan Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslav Zola, Daby Sow

ACM Trans. Multim. Comput. Commun. Appl., September, 2024

Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization.

Xi Yang, Rohan R. Arora, Saurabh Jha, Chandra Narayanaswami, Cheuk Lam, Jerrold Leichter, Yu Deng, Daby M. Sow

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration.

Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow

Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023

Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data.

Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li

ACM Trans. Inf. Syst., October, 2023

2022

Human-centered explainability for life sciences, healthcare, and medical informatics.

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

Patterns, 2022

Automated Compliance Blueprint Optimization with Artificial Intelligence.

Abdulhamid Adebayo, Daby Sow, Muhammed Fatih Bulut

CoRR, 2022

Vulnerability Prioritization: An Offensive Security Approach.

Muhammed Fatih Bulut, Abdulhamid Adebayo, Daby Sow, Steve Ocepek

CoRR, 2022

Attack Techniques and Threat Identification for Vulnerabilities.

Constantin Adam, Muhammed Fatih Bulut, Daby Sow, Steven Ocepek, Chris Bedell, Lilian Ngweta

CoRR, 2022

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

Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

2021

Disease network delineates the disease progression profile of cardiovascular diseases.

Zefang Tang, Yiqin Yu, Kenney Ng, Daby Sow, Jianying Hu, Jing Mei

J. Biomed. Informatics, 2021

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.

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

CoRR, 2021

Question-Driven Design Process for Explainable AI User Experiences.

Q. Vera Liao, Milena Pribic, Jaesik Han, Sarah Miller, Daby Sow

CoRR, 2021

G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime.

Rui Li, Stephanie M. Hu, Mingyu Lu, Yuria Utsumi, Prithwish Chakraborty, Daby M. Sow, Piyush Madan, Jun Li, Mohamed F. Ghalwash, Zach Shahn, Li-Wei H. Lehman

Proceedings of the Machine Learning for Health, 2021

Phenotypical ontology driven framework for multi-task learning.

Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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 Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records.

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

CoRR, 2020

ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction.

Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow

CoRR, 2020

Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment.

Mingyu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-Wei H. Lehman

CoRR, 2020

G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes.

Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed F. Ghalwash, Li-Wei H. Lehman

CoRR, 2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Multi-Task Learning Approach to Personalized Progression Modeling.

Mohamed F. Ghalwash, Daby Sow

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

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

Proceedings of the AMIA 2020, 2020

Finding Causal Mechanistic Drug-Drug Interactions from Observational Data.

Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Chandramouli Maduri, Daby Sow, Zachary Shahn

Proceedings of the AMIA 2020, 2020

2019

Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records.

Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow

CoRR, 2019

Reflections on the Ingredients for Success in AI Research: An Interview with Arvind Gupta.

Arvind Gupta, Biplav Srivastava, Daby Sow, Ching-Hua Chen, Oshani Seneviratne

AI Mag., 2019

Reflections on Successful Research in Artificial Intelligence: An Introduction.

Ching-Hua Chen, James A. Hendler, Sabbir M. Rashid, Oshani Seneviratne, Daby Sow, Biplav Srivastava

AI Mag., 2019

PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data.

Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

eXITs: An Ensemble Approach for Imputing Missing EHR Data.

James V. Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed F. Ghalwash, Zijun Yao, Daby Sow

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data.

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

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Estimating Causal Multi-Drug-Drug Interaction for Adverse Drug Reactions.

Sanjoy Dey, Ping Zhang, Mohamed F. Ghalwash, Zach Shahn, Daby Sow

Proceedings of the AMIA 2018, 2018

2015

State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness.

Guo-Jun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Planning-Based Reasoning for Automated Large-Scale Data Analysis.

Anton V. Riabov, Shirin Sohrabi, Daby M. Sow, Deepak S. Turaga, Octavian Udrea, Long H. Vu

Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

Towards Cognitive Automation of Data Science.

Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Online Transfer Learning for Differential Diagnosis Determination.

Jie Xu, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar

Proceedings of the World Wide Web and Public Health Intelligence, 2015

Mining of Sensor Data in Healthcare: A Survey.

Daby M. Sow, Kiran K. Turaga, Deepak S. Turaga, J. Michael Schmidt

Proceedings of the Healthcare Data Analytics., 2015

2014

A fast online learning algorithm for distributed mining of BigData.

Yu Zhang, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar

SIGMETRICS Perform. Evaluation Rev., 2014

Large Scale Discriminative Metric Learning.

Peter D. Kirchner, Matthias Böhm, Berthold Reinwald, Daby M. Sow, J. Michael Schmidt, Deepak S. Turaga, Alain Biem

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

2013

Real-time Multidimensional Temporal Analysis of Complex High Volume Physiological Data Streams in the Neonatal Intensive Care Unit.

Carolyn McGregor, Andrew James, Mike Eklund, Daby M. Sow, Maria Ebling, Marion Blount

Proceedings of the MEDINFO 2013, 2013

Big Data Exploration Via Automated Orchestration of Analytic Workflows.

Alina Beygelzimer, Anton Riabov, Daby M. Sow, Deepak S. Turaga, Octavian Udrea

Proceedings of the 10th International Conference on Autonomic Computing, 2013

Mining of Sensor Data in Healthcare: A Survey.

Daby M. Sow, Deepak S. Turaga, J. Michael Schmidt

Proceedings of the Managing and Mining Sensor Data, 2013

2012

Real-time analysis for short-term prognosis in intensive care.

Daby M. Sow, Jimeng Sun, Alain Biem, Jianying Hu, Marion Blount, Shahram Ebadollahi

IBM J. Res. Dev., 2012

2010

Visual Debugging for Stream Processing Applications.

Wim De Pauw, Mihai Letia, Bugra Gedik, Henrique Andrade, Andy Frenkiel, Michael Pfeifer, Daby M. Sow

Proceedings of the Runtime Verification - First International Conference, 2010

Body sensor data processing using stream computing.

Daby M. Sow, Alain Biem, Marion Blount, Maria Ebling, Olivier Verscheure

Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

On the integration of an artifact system and a real-time healthcare analytics system.

Marion Blount, Carolyn McGregor, Andrew James, Daby M. Sow, Rishikesan Kamaleswaran, Sascha Tuuha, Jennifer Percival, Nathan Percival

Proceedings of the ACM International Health Informatics Symposium, 2010

Localized Supervised Metric Learning on Temporal Physiological Data.

Jimeng Sun, Daby M. Sow, Jianying Hu, Shahram Ebadollahi

Proceedings of the 20th International Conference on Pattern Recognition, 2010

A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support.

Jimeng Sun, Daby M. Sow, Jianying Hu, Shahram Ebadollahi

Proceedings of the ICDM 2010, 2010

2009

Preface.

Mounir Mokhtari, Daby M. Sow

Pervasive Mob. Comput., 2009

2008

Data scaling in remote health monitoring systems.

Ya-Ti Peng, Daby M. Sow

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Advances and Challenges for Scalable Provenance in Stream Processing Systems.

Archan Misra, Marion Blount, Anastasios Kementsietsidis, Daby M. Sow, Min Wang

Proceedings of the Provenance and Annotation of Data and Processes, 2008

Adaptative Signal Sampling and Sample Quantization for Resource-Constrained Stream Processing.

Deepak S. Turaga, Olivier Verscheure, Daby M. Sow, Lisa Amini

Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007

Century: Automated Aspects of Patient Care.

Marion Blount, John S. Davis II, Maria Ebling, Ji Hyun Kim, Kyu Hyun Kim, KangYoon Lee, Archan Misra, SeHun Park, Daby M. Sow, Young Ju Tak, Min Wang, Karen Witting

Proceedings of the 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2007), 2007

A time-and-value centric provenance model and architecture for medical event streams.

Min Wang, Marion Blount, John Davis, Archan Misra, Daby M. Sow

Proceedings of the 1st ACM SIGMOBILE International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environments, 2007

Persisting and querying biometric event streams with hybrid relational-XML DBMS.

Daby M. Sow, Lipyeow Lim, Min Wang, Kyu Hyun Kim

Proceedings of the 2007 Inaugural International Conference on Distributed Event-Based Systems, 2007

PASTA: Deriving Rich Presence for Converged Telecommunications Network Applications.

Eran Belinsky, Natalia Marmasse, Eyal Sonsino, Vladimir Soroka, Maria Ebling, William F. Jerome, Archan Misra, Daby M. Sow, Sune Jakobsson

Proceedings of the Second International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2007), 2007

2006

Uncovering the to-dos hidden in your in-box.

Daby M. Sow, John S. Davis II, Maria Ebling, Archan Misra, Lawrence D. Bergman

IBM Syst. J., 2006

Supporting Mobile Business Workflow with Commune.

John Davis, Daby M. Sow, Daniela Bourges-Waldegg, Changjie Guo, Christian Hoertnagl, Markus Stolze, Brian White Eagle, Ying Yin

Proceedings of the Seventh IEEE Workshop on Mobile Computing Systems & Applications, 2006

2005

Sentire: A Framework for Building Middleware for Sensor and Actuator Networks.

Joel W. Branch, John S. Davis II, Daby M. Sow, Chatschik Bisdikian

Proceedings of the 3rd IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2005 Workshops), 2005

SCOUT Contextually Organizes User Tasks.

Daby M. Sow, Maria Ebling, Rene-Pierre Lehmann, John S. Davis II, Lawrence D. Bergman

Proceedings of the 2005 IEEE International Conference on e-Business Engineering (ICEBE 2005), 2005

2003

Complexity distortion theory.

Daby M. Sow, Alexandros Eleftheriadis

IEEE Trans. Inf. Theory, 2003

Prefetching Based on Web Usage Mining.

Daby M. Sow, David P. Olshefski, Mandis Beigi, Guruduth Banavar

Proceedings of the Middleware 2003, 2003

Context Tailor: Towards a Programming Model for Context-Aware Computing.

John S. Davis II, Daby M. Sow, Marion Blount, Maria Ebling

Proceedings of the International Middleware Conference, 2003

2002

The design and applications of a context service.

Hui Lei, Daby M. Sow, John S. Davis II, Guruduth Banavar, Maria Ebling

ACM SIGMOBILE Mob. Comput. Commun. Rev., 2002

2001

Enabling location-based applications.

Chatschik Bisdikian, Jim Christensen, John S. Davis II, Maria Ebling, Guerney D. H. Hunt, William F. Jerome, Hui Lei, Stéphane H. Maes, Daby M. Sow

Proceedings of the 1st International Workshop on Mobile Commerce, 2001

1997

Algorithmic Representation of Visual Information.

Daby M. Sow, Alexandros Eleftheriadis

Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997