Daby M. Sow

39 papers A* 5A 1B 4C 1Journal 7Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Context Engineering Framework for Improving Enterprise AI Agents based on Digital-Twin MDP.
CoRR
Xi Yang, Aurélie C. Lozano, Naoki Abe, Bhavya, Saurabh Jha, Noah Zheutlin, Rohan R. Arora, Yu Deng, Daby M. Sow
2024 A* conf
Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization.
AAAI
Xi Yang, Rohan R. Arora, Saurabh Jha, Chandra Narayanaswami, Cheuk Lam, Jerrold Leichter, Yu Deng, Daby M. Sow
2024 B conf
SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration.
CLOUD
Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow
2021 — conf
G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime.
ML4H@NeurIPS
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
2015 — ch.
Mining of Sensor Data in Healthcare: A Survey.
Healthcare Data Analytics
Daby M. Sow, Kiran K. Turaga, Deepak S. Turaga, J. Michael Schmidt
2015 — conf
Online Transfer Learning for Differential Diagnosis Determination.
AAAI Workshop: WWW and Public Health Intelligence
Jie Xu, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar
2015 A* conf
Planning-Based Reasoning for Automated Large-Scale Data Analysis.
ICAPS
Anton V. Riabov, Shirin Sohrabi, Daby M. Sow, Deepak S. Turaga, Octavian Udrea, Long H. Vu
2015 A* conf
State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness.
KDD
Guo-Jun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno
2015 A* conf
Towards Cognitive Automation of Data Science.
AAAI
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
2014 J jnl
A fast online learning algorithm for distributed mining of BigData.
SIGMETRICS Perform. Evaluation Rev.
Yu Zhang, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar
2014 — conf
Large Scale Discriminative Metric Learning.
IPDPS Workshops
Peter D. Kirchner, Matthias Böhm, Berthold Reinwald, Daby M. Sow, J. Michael Schmidt, Deepak S. Turaga, Alain Biem
2013 — conf
Big Data Exploration Via Automated Orchestration of Analytic Workflows.
ICAC
Alina Beygelzimer, Anton Riabov, Daby M. Sow, Deepak S. Turaga, Octavian Udrea
2013 — ch.
Mining of Sensor Data in Healthcare: A Survey.
Managing and Mining Sensor Data
Daby M. Sow, Deepak S. Turaga, J. Michael Schmidt
2013 — conf
Real-time Multidimensional Temporal Analysis of Complex High Volume Physiological Data Streams in the Neonatal Intensive Care Unit.
MedInfo
Carolyn McGregor, Andrew James, Mike Eklund, Daby M. Sow, Maria Ebling, Marion Blount
2012 J jnl
Real-time analysis for short-term prognosis in intensive care.
IBM J. Res. Dev.
Daby M. Sow, Jimeng Sun, Alain Biem, Jianying Hu, Marion Blount, Shahram Ebadollahi
2010 A* conf
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support.
ICDM
Jimeng Sun, Daby M. Sow, Jianying Hu, Shahram Ebadollahi
2010 — conf
Body sensor data processing using stream computing.
Multimedia Information Retrieval
Daby M. Sow, Alain Biem, Marion Blount, Maria Ebling, Olivier Verscheure
2010 B conf
Localized Supervised Metric Learning on Temporal Physiological Data.
ICPR
Jimeng Sun, Daby M. Sow, Jianying Hu, Shahram Ebadollahi
2010 — conf
On the integration of an artifact system and a real-time healthcare analytics system.
IHI
Marion Blount, Carolyn McGregor, Andrew James, Daby M. Sow, Rishikesan Kamaleswaran, Sascha Tuuha, Jennifer Percival, Nathan Percival
2010 B conf
Visual Debugging for Stream Processing Applications.
RV
Wim De Pauw, Mihai Letia, Bugra Gedik, Henrique Andrade, Andy Frenkiel, Michael Pfeifer, Daby M. Sow
2009 J jnl
Preface.
Pervasive Mob. Comput.
Mounir Mokhtari, Daby M. Sow
2008 — conf
Adaptative Signal Sampling and Sample Quantization for Resource-Constrained Stream Processing.
BIOSIGNALS (2)
Deepak S. Turaga, Olivier Verscheure, Daby M. Sow, Lisa Amini
2008 — conf
Advances and Challenges for Scalable Provenance in Stream Processing Systems.
IPAW
Archan Misra, Marion Blount, Anastasios Kementsietsidis, Daby M. Sow, Min Wang
2008 C conf
Data scaling in remote health monitoring systems.
ISCAS
Ya-Ti Peng, Daby M. Sow
2007 — conf
A time-and-value centric provenance model and architecture for medical event streams.
HealthNet
Min Wang, Marion Blount, John Davis, Archan Misra, Daby M. Sow
2007 B conf
Century: Automated Aspects of Patient Care.
RTCSA
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
2007 — conf
PASTA: Deriving Rich Presence for Converged Telecommunications Network Applications.
COMSWARE
Eran Belinsky, Natalia Marmasse, Eyal Sonsino, Vladimir Soroka, Maria Ebling, William F. Jerome, Archan Misra, Daby M. Sow, Sune Jakobsson
2007 — conf
Persisting and querying biometric event streams with hybrid relational-XML DBMS.
DEBS
Daby M. Sow, Lipyeow Lim, Min Wang, Kyu Hyun Kim
2006 — conf
Supporting Mobile Business Workflow with Commune.
WMCSA
John Davis, Daby M. Sow, Daniela Bourges-Waldegg, Changjie Guo, Christian Hoertnagl, Markus Stolze, Brian White Eagle, Ying Yin
2006 — conf
Supporting Mobile Business Workflow with Commune.
WMCSA
John Davis, Daby M. Sow, Daniela Bourges-Waldegg, Changjie Guo, Christian Hoertnagl, Markus Stolze, Brian White Eagle, Ying Yin
2006 J jnl
Uncovering the to-dos hidden in your in-box.
IBM Syst. J.
Daby M. Sow, John S. Davis II, Maria Ebling, Archan Misra, Lawrence D. Bergman
2005 — conf
SCOUT Contextually Organizes User Tasks.
ICEBE
Daby M. Sow, Maria Ebling, Rene-Pierre Lehmann, John S. Davis II, Lawrence D. Bergman
2005 — conf
Sentire: A Framework for Building Middleware for Sensor and Actuator Networks.
PerCom Workshops
Joel W. Branch, John S. Davis II, Daby M. Sow, Chatschik Bisdikian
2003 J jnl
Complexity distortion theory.
IEEE Trans. Inf. Theory
Daby M. Sow, Alexandros Eleftheriadis
2003 — conf
Context Tailor: Towards a Programming Model for Context-Aware Computing.
Middleware Workshops
John S. Davis II, Daby M. Sow, Marion Blount, Maria Ebling
2003 A conf
Prefetching Based on Web Usage Mining.
Middleware
Daby M. Sow, David P. Olshefski, Mandis Beigi, Guruduth Banavar
2002 J jnl
The design and applications of a context service.
ACM SIGMOBILE Mob. Comput. Commun. Rev.
Hui Lei, Daby M. Sow, John S. Davis II, Guruduth Banavar, Maria Ebling
2001 — conf
Enabling location-based applications.
Workshop Mobile Commerce
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
1997 — conf
Algorithmic Representation of Visual Information.
ICIP (2)
Daby M. Sow, Alexandros Eleftheriadis