Artur Dubrawski

According to our database, Artur Dubrawski authored at least 126 papers between 1994 and 2024.

Collaborative distances:

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

2024

MOMENT: A Family of Open Time-series Foundation Models.

Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski

CoRR, 2024

Signal Quality Auditing for Time-series Data.

Chufan Gao, Nicholas Gisolfi, Artur Dubrawski

CoRR, 2024

Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract).

Ryan Schuerkamp, Xinyu Li, Brian Kunzer, Leonard S. Weiss, Hernando Gómez, Francis X. Guyette, Michael R. Pinsky, Artur Dubrawski

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

PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract).

Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski

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

Data-Driven Discovery of Design Specifications (Student Abstract).

Angela Chen, Nicholas Gisolfi, Artur Dubrawski

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

JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract).

Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski

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

2023

Discovery of crime event sequences with constricted spatio-temporal sequential patterns.

Piotr S. Maciag, Robert Bembenik, Artur Dubrawski

J. Big Data, December, 2023

Verification of Fuzzy Decision Trees.

Jack H. Good, Nicholas Gisolfi, James Kyle Miller, Artur Dubrawski

IEEE Trans. Software Eng., 2023

Motion Informed Needle Segmentation in Ultrasound Images.

Raghavv Goel, Cecilia G. Morales, Manpreet Singh, Artur Dubrawski, John M. Galeotti, Howie Choset

CoRR, 2023

Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors.

Willa Potosnak, Cristian Challu, Kin G. Olivares, Artur Dubrawski

CoRR, 2023

HINT: Hierarchical Mixture Networks For Coherent Probabilistic Forecasting.

Kin G. Olivares, David Luo, Cristian Challu, Stefania La Vattiata, Max Mergenthaler, Artur Dubrawski

CoRR, 2023

Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes.

Chirag Nagpal, Vedant Sanil, Artur Dubrawski

CoRR, 2023

AQuA: A Benchmarking Tool for Label Quality Assessment.

Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Feature Learning for Interpretable, Performant Decision Trees.

Jack H. Good, Torin Kovach, Kyle Miller, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reslicing Ultrasound Images for Data Augmentation and Vessel Reconstruction.

Cecilia G. Morales, Jason Yao, Tejas Rane, Robert Edman, Howie Choset, Artur Dubrawski

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Generative Modeling Helps Weak Supervision (and Vice Versa).

Benedikt Boecking, Nicholas Carl Roberts, Willie Neiswanger, Stefano Ermon, Frederic Sala, Artur Dubrawski

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract).

Prakruthi Pradeep, Benedikt Boecking, Nicholas Gisolfi, Jacob R. Kintz, Torin K. Clark, Artur Dubrawski

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting.

Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Intelligent Clinical Decision Support.

Michael R. Pinsky, Artur Dubrawski, Gilles Clermont

Sensors, 2022

Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data.

Xinyu Li, Michael R. Pinsky, Artur Dubrawski

Sensors, 2022

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside.

Stephanie Helman, Martha Ann Terry, Tiffany Pellathy, Andrew Williams, Artur Dubrawski, Gilles Clermont, Michael R. Pinsky, Salah Al-Zaiti, Marilyn Hravnak

Int. J. Medical Informatics, 2022

HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python.

Kin G. Olivares, Federico Garza, David Luo, Cristian Challu, Max Mergenthaler, Artur Dubrawski

CoRR, 2022

The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling.

Brian Kunzer, Mario Berges, Artur Dubrawski

CoRR, 2022

Doubting AI Predictions: Influence-Driven Second Opinion Recommendation.

Maria De-Arteaga, Alexandra Chouldechova, Artur Dubrawski

CoRR, 2022

Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation.

Benedikt Boecking, Vincent Jeanselme, Artur Dubrawski

CoRR, 2022

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting.

Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler, Artur Dubrawski

CoRR, 2022

auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data.

Chirag Nagpal, Willa Potosnak, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2022

Classifying Unstructured Clinical Notes via Automatic Weak Supervision.

Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2022

Counterfactual Phenotyping with Censored Time-to-Events.

Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Deep Attentive Variational Inference.

Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski

Proceedings of the Tenth International Conference on Learning Representations, 2022

Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact.

Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski

Proceedings of the AMIA 2022, 2022

Actionable Model-Centric Explanations (Student Abstract).

Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks.

Chirag Nagpal, Xinyu Li, Artur Dubrawski

IEEE J. Biomed. Health Informatics, 2021

Provably Robust Model-Centric Explanations for Critical Decision-Making.

Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski

CoRR, 2021

Dependency Structure Misspecification in Multi-Source Weak Supervision Models.

Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski

CoRR, 2021

DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting.

Cristian Challu, Kin G. Olivares, Gus Welter, Artur Dubrawski

CoRR, 2021

Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx.

Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz, Rafal Weron, Artur Dubrawski

CoRR, 2021

Leveraging Expert Consistency to Improve Algorithmic Decision Support.

Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova

CoRR, 2021

Deep Parametric Time-to-Event Regression with Time-Varying Covariates.

Chirag Nagpal, Vincent Jeanselme, Artur Dubrawski

Proceedings of AAAI Symposium on Survival Prediction, 2021

End-to-End Weak Supervision.

Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding Clinical Collaborations Through Federated Classifier Selection.

Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2021

Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling.

Benedikt Boecking, Willie Neiswanger, Eric P. Xing, Artur Dubrawski

Proceedings of the 9th International Conference on Learning Representations, 2021

Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching.

Lujie Karen Chen, Joseph D. Ramsey, Artur Dubrawski

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Weak Supervision for Affordable Modeling of Electrocardiogram Data.

Mononito Goswami, Benedikt Boecking, Artur Dubrawski

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

Using Machine Learning to Support Transfer of Best Practices in Healthcare.

Sebastian Caldas, Jieshi Chen, Artur Dubrawski

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

2020

Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.

Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski

J. Mach. Learn. Res., 2020

Self-Reflective Variational Autoencoder.

Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski

CoRR, 2020

System-Level Predictive Maintenance: Review of Research Literature and Gap Analysis.

Kyle Miller, Artur Dubrawski

CoRR, 2020

Zeroth Order Non-convex optimization with Dueling-Choice Bandits.

Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Preference-based Reinforcement Learning with Finite-Time Guarantees.

Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

High Resolution Diffuse Optical Tomography using Short Range Indirect Subsurface Imaging.

Chao Liu, Akash K. Maity, Artur W. Dubrawski, Ashutosh Sabharwal, Srinivasa G. Narasimhan

Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

Thresholding Bandit Problem with Both Duels and Pulls.

Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Robust Multi-View Representation Learning (Student Abstract).

Sibi Venkatesan, James Kyle Miller, Artur Dubrawski

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract).

Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals.

Mononito Goswami, Lujie Chen, Artur Dubrawski

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Statistical outbreak detection by joining medical records and pathogen similarity.

James Kyle Miller, Jieshi Chen, Alexander Sundermann, Jane W. Marsh, Melissa I. Saul, Kathleen A. Shutt, Marissa Pacey, Mustapha M. Mustapha, Lee H. Harrison, Artur Dubrawski

J. Biomed. Informatics, 2019

Pairwise Feedback for Data Programming.

Benedikt Boecking, Artur Dubrawski

CoRR, 2019

Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning.

Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski

CoRR, 2019

Active Learning for Graph Neural Networks via Node Feature Propagation.

Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski

CoRR, 2019

Nonlinear Semi-Parametric Models for Survival Analysis.

Chirag Nagpal, Rohan Sangave, Amit Chahar, Parth Shah, Artur Dubrawski, Bhiksha Raj

CoRR, 2019

Mutually Regressive Point Processes.

Ifigeneia Apostolopoulou, Scott W. Linderman, Kyle Miller, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Dynamically Personalized Detection of Hemorrhage.

Chirag Nagpal, Xinyu Li, Michael R. Pinsky, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2019

Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data.

David Bethge, Jieshi Chen, Oliver Grothe, Jonathan Elmer, Artur Dubrawski

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data.

Lujie Chen, Eva Gjekmarkaj, Artur Dubrawski

Proceedings of the 12th International Conference on Educational Data Mining, 2019

On the Interaction Effects Between Prediction and Clustering.

Matt Barnes, Artur Dubrawski

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Machine Learning for the Developing World.

Maria De-Arteaga, William Herlands, Daniel B. Neill, Artur Dubrawski

ACM Trans. Manag. Inf. Syst., 2018

Double Adaptive Stochastic Gradient Optimization.

Kin Gutierrez, Jin Li, Cristian Challu, Artur Dubrawski

CoRR, 2018

Dependency Leakage: Analysis and Scalable Estimators.

Matt Barnes, Artur Dubrawski

CoRR, 2018

Learning under selective labels in the presence of expert consistency.

Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova

CoRR, 2018

Novel Prediction Techniques Based on Clusterwise Linear Regression.

Igor Gitman, Jieshi Chen, Eric Lei, Artur Dubrawski

CoRR, 2018

Social-Affiliation Networks: Patterns and the SOAR Model.

Dhivya Eswaran, Reihaneh Rabbany, Artur W. Dubrawski, Christos Faloutsos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Accelerated apprenticeship: teaching data science problem solving skills at scale.

Lujie Chen, Artur Dubrawski

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Active Search of Connections for Case Building and Combating Human Trafficking.

Reihaneh Rabbany, David Bayani, Artur Dubrawski

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information.

Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski

Proceedings of the 35th International Conference on Machine Learning, 2018

Near-light photometric stereo using circularly placed point light sources.

Chao Liu, Srinivasa G. Narasimhan, Artur W. Dubrawski

Proceedings of the 2018 IEEE International Conference on Computational Photography, 2018

Interactive Linear Regression with Pairwise Comparisons.

Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Revealing Actionable Simplicity in Data.

Nick Gisolfi, Artur Dubrawski

Proceedings of the 2018 AAAI Spring Symposia, 2018

2017

Classification of Time Sequences using Graphs of Temporal Constraints.

Mathieu Guillame-Bert, Artur Dubrawski

J. Mach. Learn. Res., 2017

Learning temporal rules to forecast instability in continuously monitored patients.

Mathieu Guillame-Bert, Artur Dubrawski, Donghan Wang, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky

J. Am. Medical Informatics Assoc., 2017

Learning Mixtures of Multi-Output Regression Models by Correlation Clustering for Multi-View Data.

Eric Lei, Kyle Miller, Artur Dubrawski

CoRR, 2017

The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters.

Matt Barnes, Artur Dubrawski

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe).

Reihaneh Rabbany, Dhivya Eswaran, Artur W. Dubrawski, Christos Faloutsos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Noise-Tolerant Interactive Learning Using Pairwise Comparisons.

Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning from learning curves: discovering interpretable learning trajectories.

Lujie Chen, Artur Dubrawski

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Scaling Active Search using Linear Similarity Functions.

Sibi Venkatesan, James Kyle Miller, Jeff Schneider, Artur Dubrawski

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data.

Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Matting and Depth Recovery of Thin Structures Using a Focal Stack.

Chao Liu, Srinivasa G. Narasimhan, Artur W. Dubrawski

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Utility of Anti-hypertension Prescription Orders in Predicting Future Hypertensive Instability Events.

Xuan Wang, Lujie Chen, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski

Proceedings of the AMIA 2017, 2017

An Entity Resolution Approach to Isolate Instances of Human Trafficking Online.

Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski

Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

2016

Detection of radioactive sources in urban scenes using Bayesian Aggregation of data from mobile spectrometers.

Prateek Tandon, Peter Huggins, Robert A. MacLachlan, Artur Dubrawski, Karl Nelson, Simon Labov

Inf. Syst., 2016

Suppressing Background Radiation Using Poisson Principal Component Analysis.

Prateek Tandon, Peter Huggins, Artur Dubrawski, Simon Labov, Karl Nelson

CoRR, 2016

Batched Lazy Decision Trees.

Mathieu Guillame-Bert, Artur Dubrawski

CoRR, 2016

Data-Driven Classification of Screwdriving Operations.

Reuben M. Aronson, Ankit Bhatia, Zhenzhong Jia, Mathieu Guillame-Bert, David A. Bourne, Artur Dubrawski, Matthew T. Mason

Proceedings of the International Symposium on Experimental Robotics, 2016

VIPR: An Interactive Tool for Meaningful Visualization of High-Dimensional Data.

Donghan Wang, Madalina Fiterau, Artur Dubrawski

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Riding an emotional roller-coaster: A multimodal study of young child's math problem solving activities.

Lujie Chen, Xin Li, Zhuyun Xia, Zhanmei Song, Louis-Philippe Morency, Artur Dubrawski

Proceedings of the 9th International Conference on Educational Data Mining, 2016

A Framework for Visual Tracking of Risk and its Drivers in Monitoring Patients Susceptible for Cardiorespiratory Instability.

Lujie Chen, Gilles Clermont, Marilyn Hravnak, Michael R. Pinsky, Artur Dubrawski

Proceedings of the AMIA 2016, 2016

2015

Canonical Autocorrelation Analysis.

Maria De-Arteaga, Artur Dubrawski, Peter Huggins

CoRR, 2015

Performance Bounds for Pairwise Entity Resolution.

Matt Barnes, Kyle Miller, Artur Dubrawski

CoRR, 2015

Real-time visual analysis of microvascular blood flow for critical care.

Chao Liu, Hernando Gomez, Srinivasa G. Narasimhan, Artur Dubrawski, Michael R. Pinsky, Brian Zuckerbraun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process.

Lujie Chen, Artur Dubrawski, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky

Proceedings of the AMIA 2015, 2015

Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System.

Nick Gisolfi, Madalina Fiterau, Artur Dubrawski

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

Active Learning for Informative Projection Retrieval.

Madalina Fiterau, Artur Dubrawski

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

Leveraging Common Structure to Improve Prediction across Related Datasets.

Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski

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

2013

Informative Projection Recovery for Classification, Clustering and Regression.

Madalina Fiterau, Artur Dubrawski

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012

Projection Retrieval for Classification.

Madalina Fiterau, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Affordable System for Rapid Detection and Mitigation of Emerging Diseases.

Nuwan Waidyanatha, Artur Dubrawski, M. Ganesan, Gordon A. Gow

Int. J. E Health Medical Commun., 2011

2010

Computationally efficient scoring of activity using demographics and connectivity of entities.

Artur Dubrawski, John Östlund, Lujie Chen, Andrew W. Moore

Inf. Technol. Manag., 2010

Learning Compressible Models.

Yi Zhang, Jeff G. Schneider, Artur Dubrawski

Proceedings of the SIAM International Conference on Data Mining, 2010

T-Cube Web Interface as a Tool for Detecting Disease Outbreaks in Real-Time: A Pilot in India and Sri Lanka.

Nuwan Waidyanatha, Chamindu Sampath, Artur Dubrawski, Maheshkumar Sabhnani, Lujie Chen, M. Ganesan, Pushpa Mary Vincy

Proceedings of the 2010 IEEE RIVF International Conference on Computing & Communication Technologies, 2010

Automatic state discovery for unstructured audio scene classification.

Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, Geoffrey J. Gordon, Abhishek Sharma

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

T-Cube Web Interface in support of real-time bio-surveillance program.

Artur Dubrawski, Maheshkumar Sabhnani, Michael Knight, Michael Baysek, Daniel B. Neill, Saswati Ray, Anna Michalska, Nuwan Waidyanatha

Proceedings of the 2009 International Conference on Information and Communication Technologies and Development, 2009

Trade-offs between Agility and Reliability of Predictions in Dynamic Social Networks Used to Model Risk of Microbial Contamination of Food.

Artur Dubrawski, Purnamrita Sarkar, Lujie Chen

Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008

Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text.

Yi Zhang, Jeff G. Schneider, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilities.

Purnamrita Sarkar, Lujie Chen, Artur Dubrawski

Proceedings of the Biosurveillance and Biosecurity, International Workshop, 2008

Learning Detectors of Events in Multivariate Time Series.

Josep Roure, Artur Dubrawski, Jeff G. Schneider

Proceedings of the AMIA 2008, 2008

2007

A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data.

Josep Roure, Artur Dubrawski, Jeff G. Schneider

Proceedings of the Intelligence and Security Informatics: Biosurveillance, 2007

Applying Outbreak Detection Algorithms to Prognostics.

Artur Dubrawski, Michael Baysek, Shannon Mikus, Charles McDaniel, Bradley Mowry, Laurel Moyer, John Östlund, Norman K. Sondheimer, Timothy Stewart

Proceedings of the Artificial Intelligence for Prognostics, 2007

2006

Monitoring Food Safety by Detecting Patterns in Consumer Complaints.

Artur Dubrawski, Kimberly Elenberg, Andrew W. Moore, Maheshkumar Sabhnani

Proceedings of the Proceedings, 2006

1998

Cellular Neural Networks for Navigation of a Mobile Robot.

Barbara Siemiatkowska, Artur Dubrawski

Proceedings of the Rough Sets and Current Trends in Computing, 1998

A Method for Tracking Pose of a Mobile Robot Equipped with a Scanning Laser Range Finder.

Artur Dubrawski, Barbara Siemiatkowska

Proceedings of the IEEE International Conference on Robotics and Automation, 1998

1997

Stochastic validation for automated tuning of neural network's hyper-parameters.

Artur Dubrawski

Robotics Auton. Syst., 1997

Tuning neural networks with stochastic optimization.

Artur Dubrawski

Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97, 1997

1995

Artificial neural network for mobile robot topological localization.

Janusz W. Racz, Artur Dubrawski

Robotics Auton. Syst., 1995

1994

Learning locomotion reflexes: A self-supervised neural system for a mobile robot.

Artur Dubrawski, James L. Crowley

Robotics Auton. Syst., 1994

Learning to categorize perceptual space of a mobile robot using fuzzy-ART neural network.

Artur Dubrawski, Patrick Reignier

Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1994

Self-Supervised Neural System for Reactive Navigation.

Artur Dubrawski, James L. Crowley

Proceedings of the 1994 International Conference on Robotics and Automation, 1994