Exploring the Utility of MALDI-TOF Mass Spectrometry and Antimicrobial Resistance in Hospital Outbreak Detection.

Artur Dubrawski Artur W. Dubrawski Carnegie Mellon University, Pittsburgh, USA https://orcid.org/0000-0002-2372-0831

Chang Liu Jieshi Chen Alexander Sundermann Kathleen A. Shutt Marissa Pacey Lora Lee Pless Lee H. Harrison Artur W. Dubrawski Exploring the Utility of MALDI-TOF Mass Spectrometry and Antimicrobial Resistance in Hospital Outbreak Detection. 2026 February abs/2602.16737 CoRR https://doi.org/10.48550/arXiv.2602.16737 db/journals/corr/corr2602.html#abs-2602-16737 streams/journals/corr

Maria De-Arteaga Vincent Jeanselme Artur Dubrawski Alexandra Chouldechova Leveraging Expert Consistency to Improve Algorithmic Decision Support. 10465-10485 2025 71 Manag. Sci. 12 https://doi.org/10.1287/mnsc.2022.01576 db/journals/mansci/mansci71.html#DeArteagaJDC25 streams/journals/mansci

Willa Potosnak Cristian I. Challu Kin G. Olivares Keith A. Dufendach Artur Dubrawski Global Deep Forecasting with Patient-Specific Pharmacokinetics. 306-336 2025 CHIL https://proceedings.mlr.press/v287/potosnak25a.html conf/chil/2025 db/conf/chil/chil2025.html#PotosnakCODD25 streams/conf/chil Chang Liu Jieshi Chen Lee H. Harrison Artur Dubrawski Bridging the utility gap between MALDI-TOF and WGS for affordable outbreak cluster detection. 557-572 2025 CHIL https://proceedings.mlr.press/v287/liu25a.html conf/chil/2025 db/conf/chil/chil2025.html#LiuCHD25 streams/conf/chil Michal Wilinski Mononito Goswami Willa Potosnak Nina Zukowska Artur Dubrawski Exploring Representations and Interventions in Time Series Foundation Models. 2025 ICML https://proceedings.mlr.press/v267/wilinski25a.html https://openreview.net/forum?id=goVzfYtj58 conf/icml/2025 db/conf/icml/icml2025.html#WilinskiGPZD25

Willa Potosnak Cristian Challu Mononito Goswami Kin G. Olivares Michal Wilinski Nina Zukowska Artur Dubrawski Investigating Compositional Reasoning in Time Series Foundation Models. 2025 February abs/2502.06037 CoRR https://doi.org/10.48550/arXiv.2502.06037 db/journals/corr/corr2502.html#abs-2502-06037 streams/journals/corr

Yifu Cai Xinyu Li Mononito Goswami Michal Wilinski Gus Welter Artur Dubrawski TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents. 2025 May abs/2505.13291 CoRR https://doi.org/10.48550/arXiv.2505.13291 db/journals/corr/corr2505.html#abs-2505-13291 streams/journals/corr

Nico Zevallos Cecilia G. Morales Andrew L. Orekhov Tejas Rane Hernando Gomez Francis X. Guyette Michael R. Pinsky John M. Galeotti Artur Dubrawski Howie Choset Automatic Cannulation of Femoral Vessels in a Porcine Shock Model. 2025 June abs/2506.14467 CoRR https://doi.org/10.48550/arXiv.2506.14467 db/journals/corr/corr2506.html#abs-2506-14467 streams/journals/corr

Ignacy Stepka Nicholas Gisolfi Kacper Trebacz Artur Dubrawski Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning. 2025 August abs/2508.01807 CoRR https://doi.org/10.48550/arXiv.2508.01807 db/journals/corr/corr2508.html#abs-2508-01807 streams/journals/corr

Brad Shook Abby Turner Jieshi Chen Michal Wilinski Mononito Goswami Jonathan Elmer Artur Dubrawski STAMP: Spatial-Temporal Adapter with Multi-Head Pooling. 2025 November abs/2511.10848 CoRR https://doi.org/10.48550/arXiv.2511.10848 db/journals/corr/corr2511.html#abs-2511-10848 streams/journals/corr

Cecilia G. Morales Fanurs Chi En Teh Kai Li Pushpak Agrawal Artur Dubrawski Adaptive Parameter Optimization for Robust Remote Photoplethysmography. 2025 November abs/2511.21903 CoRR https://doi.org/10.48550/arXiv.2511.21903 db/journals/corr/corr2511.html#abs-2511-21903 streams/journals/corr

Szymon Rusiecki Cecilia G. Morales Kimberly Elenberg Leonard S. Weiss Artur Dubrawski Multimodal Bayesian Network for Robust Assessment of Casualties in Autonomous Triage. 2025 December abs/2512.18908 CoRR https://doi.org/10.48550/arXiv.2512.18908 db/journals/corr/corr2512.html#abs-2512-18908 streams/journals/corr

Benedikt Boecking Vincent Jeanselme Artur Dubrawski Constrained clustering and multiple kernel learning without pairwise constraint relaxation. 309-324 2024 June 18 Adv. Data Anal. Classif. 2 https://doi.org/10.1007/s11634-022-00507-5 db/journals/adac/adac18.html#BoeckingJD24

Yifu Cai Arvind Srinivasan 0002 Mononito Goswami Arjun Choudhry Artur Dubrawski JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract). 23447-23448 2024 AAAI https://doi.org/10.1609/aaai.v38i21.30423 conf/aaai/2024 db/conf/aaai/aaai2024.html#Cai0GCD24 Angela Chen Nicholas Gisolfi Artur Dubrawski Data-Driven Discovery of Design Specifications (Student Abstract). 23449-23450 2024 AAAI https://doi.org/10.1609/aaai.v38i21.30424 conf/aaai/2024 db/conf/aaai/aaai2024.html#ChenGD24 Eric Enouen Sebastian Caldas Mononito Goswami Artur Dubrawski PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). 23482-23483 2024 AAAI https://doi.org/10.1609/aaai.v38i21.30438 conf/aaai/2024 db/conf/aaai/aaai2024.html#EnouenCGD24 Ryan Schuerkamp Xinyu Li Brian Kunzer Leonard S. Weiss Hernando Gómez Francis X. Guyette Michael R. Pinsky Artur Dubrawski Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract). 23644-23646 2024 AAAI https://doi.org/10.1609/aaai.v38i21.30508 conf/aaai/2024 db/conf/aaai/aaai2024.html#SchuerkampLKWGG24 Raghavv Goel Cecilia G. Morales Manpreet Singh Artur Dubrawski Jonh Galeotti Howie Choset Motion-aware Needle Segmentation in Ultrasound Images. 7886-7891 2024 CVPR Workshops https://doi.org/10.1109/CVPRW63382.2024.00786 conf/cvpr/2024w db/conf/cvpr/cvprw2024.html#GoelMSDGC22 Lukasz Sztukiewicz Jack Henry Good Artur Dubrawski Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise. 2024 Tiny Papers @ ICLR https://openreview.net/forum?id=B8H7pqlj3N conf/iclr/2024tiny db/conf/iclr/iclr2024tiny.html#SztukiewiczGD24 Ifigeneia Apostolopoulou Benjamin Eysenbach Frank Nielsen Artur Dubrawski A Rate-Distortion View of Uncertainty Quantification. 2024 ICML https://proceedings.mlr.press/v235/apostolopoulou24a.html https://openreview.net/forum?id=zMGUDsPopK conf/icml/2024 db/conf/icml/icml2024.html#ApostolopoulouE24 1631-1654 Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski MOMENT: A Family of Open Time-series Foundation Models. 2024 ICML https://proceedings.mlr.press/v235/goswami24a.html https://openreview.net/forum?id=FVvf69a5rx conf/icml/2024 db/conf/icml/icml2024.html#GoswamiSCCLD24 16115-16152 Cecilia G. Morales Dhruv Srikanth Jack H. Good Keith A. Dufendach Artur Dubrawski Bifurcation Identification for Ultrasound-driven Robotic Cannulation. 6990-6996 2024 IROS https://doi.org/10.1109/IROS58592.2024.10801749 conf/iros/2024 db/conf/iros/iros2024.html#MoralesSGDD24 Raghavv Goel Cecilia G. Morales Manpreet Singh Artur Dubrawski John M. Galeotti Howie Choset Motion-Aware Needle Segmentation in Ultrasound Images. 1-4 2024 ISBI https://doi.org/10.1109/ISBI56570.2024.10635585 conf/isbi/2024 db/conf/isbi/isbi2024.html#GoelMSDGC24 streams/conf/isbi Rohini Banerjee Cecilia G. Morales Artur Dubrawski Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net. 143-153 2024 ASMUS@MICCAI https://doi.org/10.1007/978-3-031-73647-6_14 conf/miccai/2024asmus db/conf/miccai/asmus2024.html#BanerjeeMD24 streams/conf/miccai

Chufan Gao Nicholas Gisolfi Artur Dubrawski Signal Quality Auditing for Time-series Data. 2024 abs/2402.00803 CoRR https://doi.org/10.48550/arXiv.2402.00803 db/journals/corr/corr2402.html#abs-2402-00803

Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski MOMENT: A Family of Open Time-series Foundation Models. 2024 abs/2402.03885 CoRR https://doi.org/10.48550/arXiv.2402.03885 db/journals/corr/corr2402.html#abs-2402-03885

Lukasz Sztukiewicz Jack Henry Good Artur Dubrawski Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise. 2024 abs/2405.17672 CoRR https://doi.org/10.48550/arXiv.2405.17672 db/journals/corr/corr2405.html#abs-2405-17672

Ifigeneia Apostolopoulou Benjamin Eysenbach Frank Nielsen Artur Dubrawski A Rate-Distortion View of Uncertainty Quantification. 2024 abs/2406.10775 CoRR https://doi.org/10.48550/arXiv.2406.10775 db/journals/corr/corr2406.html#abs-2406-10775 streams/journals/corr

Rohini Banerjee Cecilia G. Morales Artur Dubrawski Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net. 2024 abs/2407.21273 CoRR https://doi.org/10.48550/arXiv.2407.21273 db/journals/corr/corr2407.html#abs-2407-21273 streams/journals/corr

Ignacy Stepka Nicholas Gisolfi Artur Dubrawski A SAT-based approach to rigorous verification of Bayesian networks. 2024 abs/2408.00986 CoRR https://doi.org/10.48550/arXiv.2408.00986 db/journals/corr/corr2408.html#abs-2408-00986 streams/journals/corr

Cecilia G. Morales Dhruv Srikanth Jack H. Good Keith Dufendach Artur Dubrawski Bifurcation Identification for Ultrasound-driven Robotic Cannulation. 2024 abs/2409.06817 CoRR https://doi.org/10.48550/arXiv.2409.06817 db/journals/corr/corr2409.html#abs-2409-06817 streams/journals/corr

Willa Potosnak Cristian Challu Mononito Goswami Michal Wilinski Nina Zukowska Artur Dubrawski Implicit Reasoning in Deep Time Series Forecasting. 2024 abs/2409.10840 CoRR https://doi.org/10.48550/arXiv.2409.10840 db/journals/corr/corr2409.html#abs-2409-10840 streams/journals/corr

Michal Wilinski Mononito Goswami Nina Zukowska Willa Potosnak Artur Dubrawski Unveiling and Manipulating Concepts in Time Series Foundation Models. 2024 abs/2409.12915 CoRR https://doi.org/10.48550/arXiv.2409.12915 db/journals/corr/corr2409.html#abs-2409-12915 streams/journals/corr

Nina Zukowska Mononito Goswami Michal Wilinski Willa Potosnak Artur Dubrawski Towards Long-Context Time Series Foundation Models. 2024 abs/2409.13530 CoRR https://doi.org/10.48550/arXiv.2409.13530 db/journals/corr/corr2409.html#abs-2409-13530 streams/journals/corr

Yifu Cai Arjun Choudhry Mononito Goswami Artur Dubrawski TimeSeriesExam: A time series understanding exam. 2024 abs/2410.14752 CoRR https://doi.org/10.48550/arXiv.2410.14752 db/journals/corr/corr2410.html#abs-2410-14752 streams/journals/corr

Chang Liu Jieshi Chen Lee H. Harrison Artur Dubrawski Multimodal Structure Preservation Learning. 2024 abs/2410.22520 CoRR https://doi.org/10.48550/arXiv.2410.22520 db/journals/corr/corr2410.html#abs-2410-22520 streams/journals/corr

Piotr S. Maciag Robert Bembenik Artur Dubrawski Discovery of crime event sequences with constricted spatio-temporal sequential patterns. 98 2023 December 10 J. Big Data 1 https://doi.org/10.1186/s40537-023-00780-x db/journals/jbd/jbd10.html#MaciagBD23

Jack H. Good Nicholas Gisolfi James Kyle Miller Artur Dubrawski Verification of Fuzzy Decision Trees. 3277-3288 2023 49 IEEE Trans. Software Eng. 5 https://doi.org/10.1109/TSE.2023.3251858 db/journals/tse/tse49.html#GoodGMD23

Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Ramírez Max Mergenthaler Canseco Artur Dubrawski NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. 6989-6997 2023 AAAI https://doi.org/10.1609/aaai.v37i6.25854 conf/aaai/2023 db/conf/aaai/aaai2023.html#ChalluOORCD23 Prakruthi Pradeep Benedikt Boecking Nicholas Gisolfi Jacob R. Kintz Torin K. Clark Artur Dubrawski Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract). 16304-16305 2023 AAAI https://doi.org/10.1609/aaai.v37i13.27012 conf/aaai/2023 db/conf/aaai/aaai2023.html#PradeepBGKCD23 Benedikt Boecking Nicholas Carl Roberts Willie Neiswanger Stefano Ermon Frederic Sala Artur Dubrawski Generative Modeling Helps Weak Supervision (and Vice Versa). 2023 ICLR https://openreview.net/forum?id=3OaBBATwsvP conf/iclr/2023 db/conf/iclr/iclr2023.html#BoeckingRNESD23 Cecilia G. Morales Jason Yao Tejas Rane Robert Edman Howie Choset Artur Dubrawski Reslicing Ultrasound Images for Data Augmentation and Vessel Reconstruction. 2710-2716 2023 ICRA https://doi.org/10.1109/ICRA48891.2023.10160651 conf/icra/2023 db/conf/icra/icra2023.html#MoralesYRECD23 Jack H. Good Torin Kovach Kyle Miller 0001 Artur Dubrawski Feature Learning for Interpretable, Performant Decision Trees. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/d1b4076ae067dd23bad5ac2693547a01-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#GoodK0D23 Mononito Goswami Vedant Sanil Arjun Choudhry Arvind Srinivasan 0002 Chalisa Udompanyawit Artur Dubrawski AQuA: A Benchmarking Tool for Label Quality Assessment. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/fc20ea8d104cab737a5561096f9bde9b-Abstract-Datasets_and_Benchmarks.html conf/nips/2023 db/conf/nips/neurips2023.html#GoswamiSC0UD23

Cecilia G. Morales Jason Yao Tejas Rane Robert Edman Howie Choset Artur Dubrawski Reslicing Ultrasound Images for Data Augmentation and Vessel Reconstruction. 2023 abs/2301.07286 CoRR https://doi.org/10.48550/arXiv.2301.07286 db/journals/corr/corr2301.html#abs-2301-07286

Chirag Nagpal Vedant Sanil Artur Dubrawski Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes. 2023 abs/2302.12504 CoRR https://doi.org/10.48550/arXiv.2302.12504 db/journals/corr/corr2302.html#abs-2302-12504

Kin G. Olivares David Luo Cristian Challu Stefania La Vattiata Max Mergenthaler Artur Dubrawski HINT: Hierarchical Mixture Networks For Coherent Probabilistic Forecasting. 2023 abs/2305.07089 CoRR https://doi.org/10.48550/arXiv.2305.07089 db/journals/corr/corr2305.html#abs-2305-07089

Mononito Goswami Vedant Sanil Arjun Choudhry Arvind Srinivasan 0002 Chalisa Udompanyawit Artur Dubrawski AQuA: A Benchmarking Tool for Label Quality Assessment. 2023 abs/2306.09467 CoRR https://doi.org/10.48550/arXiv.2306.09467 db/journals/corr/corr2306.html#abs-2306-09467

Willa Potosnak Cristian Challu Kin G. Olivares Artur Dubrawski Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors. 2023 abs/2309.13135 CoRR https://doi.org/10.48550/arXiv.2309.13135 db/journals/corr/corr2309.html#abs-2309-13135

Raghavv Goel Cecilia G. Morales Manpreet Singh Artur Dubrawski John M. Galeotti Howie Choset Motion Informed Needle Segmentation in Ultrasound Images. 2023 abs/2312.01239 CoRR https://doi.org/10.48550/arXiv.2312.01239 db/journals/corr/corr2312.html#abs-2312-01239

Stephanie Helman Martha Ann Terry Tiffany Pellathy Andrew Williams Artur Dubrawski Gilles Clermont Michael R. Pinsky Salah S. Al-Zaiti Marilyn Hravnak Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside. 104643 2022 159 Int. J. Medical Informatics https://doi.org/10.1016/j.ijmedinf.2021.104643 db/journals/ijmi/ijmi159.html#HelmanTPWDCPAH22

Xinyu Li Michael R. Pinsky Artur Dubrawski Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data. 1024 2022 22 Sensors 3 https://doi.org/10.3390/s22031024 https://www.wikidata.org/entity/Q114578244 db/journals/sensors/sensors22.html#LiPD22

Michael R. Pinsky Artur Dubrawski Gilles Clermont Intelligent Clinical Decision Support. 1408 2022 22 Sensors 4 https://doi.org/10.3390/s22041408 db/journals/sensors/sensors22.html#PinskyDC22

Cecilia G. Morales Nicholas Gisolfi Robert Edman James Kyle Miller Artur Dubrawski Actionable Model-Centric Explanations (Student Abstract). 13019-13020 2022 AAAI https://doi.org/10.1609/aaai.v36i11.21646 conf/aaai/2022 db/conf/aaai/aaai2022.html#MoralesGEMD22 Arnab Dey Mononito Goswami Joo Heung Yoon Gilles Clermont Michael R. Pinsky Marilyn Hravnak Artur Dubrawski Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. 2022 AMIA https://knowledge.amia.org/76677-amia-1.4637602/f006-1.4642154/f006-1.4642155/777-1.4642429/987-1.4642426 conf/amia/2022 db/conf/amia/amia2022.html#DeyGYCPHD22 Ifigeneia Apostolopoulou Ian Char Elan Rosenfeld Artur Dubrawski Deep Attentive Variational Inference. 2022 ICLR https://openreview.net/forum?id=T4-65DNlDij conf/iclr/2022 db/conf/iclr/iclr2022.html#ApostolopoulouC22 Chirag Nagpal Mononito Goswami Keith Dufendach Artur Dubrawski Counterfactual Phenotyping with Censored Time-to-Events. 3634-3644 2022 KDD https://doi.org/10.1145/3534678.3539110 https://www.wikidata.org/entity/Q130817367 conf/kdd/2022 db/conf/kdd/kdd2022.html#NagpalGDD22 Chirag Nagpal Willa Potosnak Artur Dubrawski auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. 585-608 2022 MLHC https://proceedings.mlr.press/v182/nagpal22a.html conf/mlhc/2022 db/conf/mlhc/mlhc2022.html#NagpalPD22 Chufan Gao Mononito Goswami Jieshi Chen Artur Dubrawski Classifying Unstructured Clinical Notes via Automatic Weak Supervision. 673-690 2022 MLHC https://proceedings.mlr.press/v182/gao22a.html conf/mlhc/2022 db/conf/mlhc/mlhc2022.html#GaoGCD22

Mononito Goswami Benedikt Boecking Artur Dubrawski Weak Supervision for Affordable Modeling of Electrocardiogram Data. 2022 abs/2201.02936 CoRR https://arxiv.org/abs/2201.02936 db/journals/corr/corr2201.html#abs-2201-02936

Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Max Mergenthaler Artur Dubrawski N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. 2022 abs/2201.12886 CoRR https://arxiv.org/abs/2201.12886 db/journals/corr/corr2201.html#abs-2201-12886

Chirag Nagpal Mononito Goswami Keith Dufendach Artur Dubrawski Counterfactual Phenotyping with Censored Time-to-Events. 2022 abs/2202.11089 CoRR https://arxiv.org/abs/2202.11089 db/journals/corr/corr2202.html#abs-2202-11089

Benedikt Boecking Willie Neiswanger Nicholas Carl Roberts Stefano Ermon Frederic Sala Artur Dubrawski Generative Modeling Helps Weak Supervision (and Vice Versa). 2022 abs/2203.12023 CoRR https://doi.org/10.48550/arXiv.2203.12023 db/journals/corr/corr2203.html#abs-2203-12023

Benedikt Boecking Vincent Jeanselme Artur Dubrawski Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation. 2022 abs/2203.12546 CoRR https://doi.org/10.48550/arXiv.2203.12546 db/journals/corr/corr2203.html#abs-2203-12546

Chirag Nagpal Willa Potosnak Artur Dubrawski auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. 2022 abs/2204.07276 CoRR https://doi.org/10.48550/arXiv.2204.07276 db/journals/corr/corr2204.html#abs-2204-07276

Maria De-Arteaga Alexandra Chouldechova Artur Dubrawski Doubting AI Predictions: Influence-Driven Second Opinion Recommendation. 2022 abs/2205.00072 CoRR https://doi.org/10.48550/arXiv.2205.00072 db/journals/corr/corr2205.html#abs-2205-00072

Arnab Dey Mononito Goswami Joo Heung Yoon Gilles Clermont Michael R. Pinsky Marilyn Hravnak Artur Dubrawski Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. 2022 abs/2206.09074 CoRR https://doi.org/10.48550/arXiv.2206.09074 db/journals/corr/corr2206.html#abs-2206-09074

Brian Kunzer Mario Berges Artur Dubrawski The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling. 2022 abs/2206.10462 CoRR https://doi.org/10.48550/arXiv.2206.10462 db/journals/corr/corr2206.html#abs-2206-10462

Chufan Gao Mononito Goswami Jieshi Chen Artur Dubrawski Classifying Unstructured Clinical Notes via Automatic Weak Supervision. 2022 abs/2206.12088 CoRR https://doi.org/10.48550/arXiv.2206.12088 db/journals/corr/corr2206.html#abs-2206-12088

Kin G. Olivares Federico Garza David Luo Cristian Challu Max Mergenthaler Artur Dubrawski HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python. 2022 abs/2207.03517 CoRR https://doi.org/10.48550/arXiv.2207.03517 db/journals/corr/corr2207.html#abs-2207-03517

Chirag Nagpal Xinyu Li Artur Dubrawski Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks. 3163-3175 2021 25 IEEE J. Biomed. Health Informatics 8 https://doi.org/10.1109/JBHI.2021.3052441 db/journals/titb/titb25.html#NagpalLD21

Sebastian Caldas Jieshi Chen Artur Dubrawski Using Machine Learning to Support Transfer of Best Practices in Healthcare. 2021 AMIA https://knowledge.amia.org/74229-amia-1.4622266/t003-1.4626466/t003-1.4626467/3577192-1.4626786/3576461-1.4626783 conf/amia/2021 db/conf/amia/amia2021.html#CaldasCD21 Mononito Goswami Benedikt Boecking Artur Dubrawski Weak Supervision for Affordable Modeling of Electrocardiogram Data. 2021 AMIA https://knowledge.amia.org/74229-amia-1.4622266/t003-1.4626466/t003-1.4626467/3577292-1.4626702/3576735-1.4626699 conf/amia/2021 db/conf/amia/amia2021.html#GoswamiBD21 Lujie Karen Chen Joseph D. Ramsey Artur Dubrawski Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching. 2021 EDM conf/edm/2021 db/conf/edm/edm2021.html#ChenRD21 Benedikt Boecking Willie Neiswanger Eric P. Xing Artur Dubrawski Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling. 2021 ICLR https://openreview.net/forum?id=IDFQI9OY6K conf/iclr/2021 db/conf/iclr/iclr2021.html#BoeckingNXD21 Sebastian Caldas Joo Heung Yoon Michael R. Pinsky Gilles Clermont Artur Dubrawski Understanding Clinical Collaborations Through Federated Classifier Selection. 126-145 2021 MLHC https://proceedings.mlr.press/v149/caldas21a.html conf/mlhc/2021 db/conf/mlhc/mlhc2021.html#CaldasYPCD21 Salva Rühling Cachay Benedikt Boecking Artur Dubrawski End-to-End Weak Supervision. 1845-1857 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/0e674a918ebca3f78bfe02e2f387689d-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#CachayBD21 Chirag Nagpal Vincent Jeanselme Artur Dubrawski Deep Parametric Time-to-Event Regression with Time-Varying Covariates. 184-193 2021 SPACA https://proceedings.mlr.press/v146/nagpal21a.html conf/spaca/2021 db/conf/spaca/spaca2021.html#NagpalJD21

Maria De-Arteaga Artur Dubrawski Alexandra Chouldechova Leveraging Expert Consistency to Improve Algorithmic Decision Support. 2021 abs/2101.09648 CoRR https://arxiv.org/abs/2101.09648 db/journals/corr/corr2101.html#abs-2101-09648

Kin G. Olivares Cristian Challu Grzegorz Marcjasz Rafal Weron Artur Dubrawski Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. 2021 abs/2104.05522 CoRR https://arxiv.org/abs/2104.05522 db/journals/corr/corr2104.html#abs-2104-05522

Cristian Challu Kin G. Olivares Gus Welter Artur Dubrawski DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting. 2021 abs/2106.05860 CoRR https://arxiv.org/abs/2106.05860 db/journals/corr/corr2106.html#abs-2106-05860

Salva Rühling Cachay Benedikt Boecking Artur Dubrawski Dependency Structure Misspecification in Multi-Source Weak Supervision Models. 2021 abs/2106.10302 CoRR https://arxiv.org/abs/2106.10302 db/journals/corr/corr2106.html#abs-2106-10302

Salva Rühling Cachay Benedikt Boecking Artur Dubrawski End-to-End Weak Supervision. 2021 abs/2107.02233 CoRR https://arxiv.org/abs/2107.02233 db/journals/corr/corr2107.html#abs-2107-02233

Cecilia G. Morales Nicholas Gisolfi Robert Edman James Kyle Miller Artur Dubrawski Provably Robust Model-Centric Explanations for Critical Decision-Making. 2021 abs/2110.13937 CoRR https://arxiv.org/abs/2110.13937 db/journals/corr/corr2110.html#abs-2110-13937

Piotr S. Maciag Robert Bembenik Artur Dubrawski Discovery of Crime Event Sequences with Constricted Spatio-Temporal Sequential Patterns. 2021 abs/2112.01863 CoRR https://arxiv.org/abs/2112.01863 db/journals/corr/corr2112.html#abs-2112-01863

Yichong Xu Sivaraman Balakrishnan Aarti Singh Artur Dubrawski Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. 162:1-162:54 2020 21 J. Mach. Learn. Res. https://jmlr.org/papers/v21/19-505.html db/journals/jmlr/jmlr21.html#XuBSD20

Mononito Goswami Lujie Chen Artur Dubrawski Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals. 420-427 2020 AAAI https://doi.org/10.1609/aaai.v34i01.5378 conf/aaai/2020 db/conf/aaai/aaai2020.html#GoswamiCD20 Mononito Goswami Lujie Chen Chufan Gao Artur Dubrawski Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). 13799-13800 2020 AAAI https://doi.org/10.1609/aaai.v34i10.7171 conf/aaai/2020 db/conf/aaai/aaai2020.html#GoswamiCGD20 Sibi Venkatesan James Kyle Miller Artur Dubrawski Robust Multi-View Representation Learning (Student Abstract). 13939-13940 2020 AAAI https://doi.org/10.1609/aaai.v34i10.7242 conf/aaai/2020 db/conf/aaai/aaai2020.html#VenkatesanMD20 Yichong Xu Xi Chen Aarti Singh Artur Dubrawski Thresholding Bandit Problem with Both Duels and Pulls. 2591-2600 2020 AISTATS http://proceedings.mlr.press/v108/xu20c.html conf/aistats/2020 db/conf/aistats/aistats2020.html#XuCSD20 Chao Liu 0064 Akash K. Maity Artur W. Dubrawski Ashutosh Sabharwal Srinivasa G. Narasimhan High Resolution Diffuse Optical Tomography using Short Range Indirect Subsurface Imaging. 1-12 2020 ICCP https://doi.org/10.1109/ICCP48838.2020.9105173 conf/iccp/2020 db/conf/iccp/iccp2020.html#LiuMDSN20 Yichong Xu Ruosong Wang Lin F. Yang Aarti Singh Artur Dubrawski Preference-based Reinforcement Learning with Finite-Time Guarantees. 2020 NeurIPS https://proceedings.neurips.cc/paper/2020/hash/d9d3837ee7981e8c064774da6cdd98bf-Abstract.html conf/nips/2020 db/conf/nips/neurips2020.html#XuWYSD20 Yichong Xu Aparna Joshi Aarti Singh Artur Dubrawski Zeroth Order Non-convex optimization with Dueling-Choice Bandits. 899-908 2020 UAI http://proceedings.mlr.press/v124/xu20b.html http://www.auai.org/uai2020/proceedings/372_main_paper.pdf conf/uai/2020 db/conf/uai/uai2020.html#XuJSD20

Chirag Nagpal Xinyu Li Artur Dubrawski Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks. 2020 abs/2003.01176 CoRR https://arxiv.org/abs/2003.01176 db/journals/corr/corr2003.html#abs-2003-01176

Kyle Miller 0001 Artur Dubrawski System-Level Predictive Maintenance: Review of Research Literature and Gap Analysis. 2020 abs/2005.05239 CoRR https://arxiv.org/abs/2005.05239 db/journals/corr/corr2005.html#abs-2005-05239

Yichong Xu Ruosong Wang Lin F. Yang Aarti Singh Artur Dubrawski Preference-based Reinforcement Learning with Finite-Time Guarantees. 2020 abs/2006.08910 CoRR https://arxiv.org/abs/2006.08910 db/journals/corr/corr2006.html#abs-2006-08910

Ifigeneia Apostolopoulou Elan Rosenfeld Artur Dubrawski Self-Reflective Variational Autoencoder. 2020 abs/2007.05166 CoRR https://arxiv.org/abs/2007.05166 db/journals/corr/corr2007.html#abs-2007-05166

Benedikt Boecking Willie Neiswanger Eric Poe Xing Artur Dubrawski Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling. 2020 abs/2012.06046 CoRR https://arxiv.org/abs/2012.06046 db/journals/corr/corr2012.html#abs-2012-06046

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 Statistical outbreak detection by joining medical records and pathogen similarity. 2019 91 J. Biomed. Informatics https://doi.org/10.1016/j.jbi.2019.103126 https://www.wikidata.org/entity/Q91642203 db/journals/jbi/jbi91.html#MillerCSMSSPMHD19

Matt Barnes 0001 Artur Dubrawski On the Interaction Effects Between Prediction and Clustering. 118-126 2019 AISTATS http://proceedings.mlr.press/v89/barnes19a.html conf/aistats/2019 db/conf/aistats/aistats2019.html#BarnesD19 Lujie Chen Eva Gjekmarkaj Artur Dubrawski Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data. 2019 EDM https://drive.google.com/file/d/1i0PDArhUR1N70XOiNkIKOOORcLX5NTOR conf/edm/2019 db/conf/edm/edm2019.html#ChenGD19 David Bethge Jieshi Chen Oliver Grothe Jonathan Elmer Artur Dubrawski Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. 933-940 2019 ICDM Workshops https://doi.org/10.1109/ICDMW.2019.00136 conf/icdm/2019w db/conf/icdm/icdm2019w.html#BethgeCGED19 Chirag Nagpal Xinyu Li Michael R. Pinsky Artur Dubrawski Dynamically Personalized Detection of Hemorrhage. 109-123 2019 MLHC http://proceedings.mlr.press/v106/nagpal19a.html conf/mlhc/2019 db/conf/mlhc/mlhc2019.html#NagpalLPD19 Ifigeneia Apostolopoulou Scott W. Linderman Kyle Miller 0001 Artur Dubrawski Mutually Regressive Point Processes. 5116-5127 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/564645fbd0332f066cbd9d083ddd077c-Abstract.html http://papers.nips.cc/paper/8755-mutually-regressive-point-processes conf/nips/2019 db/conf/nips/nips2019.html#ApostolopoulouL19

Chirag Nagpal Rohan Sangave Amit Chahar Parth Shah Artur Dubrawski Bhiksha Raj Nonlinear Semi-Parametric Models for Survival Analysis. 2019 abs/1905.05865 CoRR http://arxiv.org/abs/1905.05865 db/journals/corr/corr1905.html#abs-1905-05865

Yichong Xu Xi Chen Aarti Singh Artur Dubrawski Thresholding Bandit Problem with Both Duels and Pulls. 2019 abs/1910.06368 CoRR http://arxiv.org/abs/1910.06368 db/journals/corr/corr1910.html#abs-1910-06368

Yuexin Wu Yichong Xu Aarti Singh Yiming Yang 0002 Artur Dubrawski Active Learning for Graph Neural Networks via Node Feature Propagation. 2019 abs/1910.07567 CoRR http://arxiv.org/abs/1910.07567 db/journals/corr/corr1910.html#abs-1910-07567

Yichong Xu Aparna Joshi Aarti Singh Artur Dubrawski Zeroth Order Non-convex optimization with Dueling-Choice Bandits. 2019 abs/1911.00980 CoRR http://arxiv.org/abs/1911.00980 db/journals/corr/corr1911.html#abs-1911-00980

Chufan Gao Fabian Falck Mononito Goswami Anthony Wertz Michael R. Pinsky Artur Dubrawski Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. 2019 abs/1911.05121 CoRR http://arxiv.org/abs/1911.05121 db/journals/corr/corr1911.html#abs-1911-05121

Benedikt Boecking Artur Dubrawski Pairwise Feedback for Data Programming. 2019 abs/1912.07685 CoRR http://arxiv.org/abs/1912.07685 db/journals/corr/corr1912.html#abs-1912-07685

Maria De-Arteaga William Herlands Daniel B. Neill Artur Dubrawski Machine Learning for the Developing World. 9:1-9:14 2018 9 ACM Trans. Manag. Inf. Syst. 2 https://doi.org/10.1145/3210548 db/journals/tmis/tmis9.html#De-ArteagaHND18

Nick Gisolfi Artur Dubrawski Revealing Actionable Simplicity in Data. 2018 AAAI Spring Symposia https://aaai.org/ocs/index.php/SSS/SSS18/paper/view/17521 conf/aaaiss/2018 db/conf/aaaiss/aaaiss2018.html#GisolfiD18 Yichong Xu Sivaraman Balakrishnan Aarti Singh Artur Dubrawski Interactive Linear Regression with Pairwise Comparisons. 636-640 2018 ACSSC https://doi.org/10.1109/ACSSC.2018.8645081 conf/acssc/2018 db/conf/acssc/acssc2018.html#XuBSD18 Chao Liu 0064 Srinivasa G. Narasimhan Artur W. Dubrawski Near-light photometric stereo using circularly placed point light sources. 1-10 2018 ICCP https://doi.org/10.1109/ICCPHOT.2018.8368465 https://doi.ieeecomputersociety.org/10.1109/ICCPHOT.2018.8368465 conf/iccp/2018 db/conf/iccp/iccp2018.html#LiuND18 Yichong Xu Hariank Muthakana Sivaraman Balakrishnan Aarti Singh Artur Dubrawski Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. 5469-5478 2018 ICML http://proceedings.mlr.press/v80/xu18e.html conf/icml/2018 db/conf/icml/icml2018.html#XuMBSD18 Reihaneh Rabbany David Bayani Artur Dubrawski Active Search of Connections for Case Building and Combating Human Trafficking. 2120-2129 2018 KDD https://doi.org/10.1145/3219819.3220103 conf/kdd/2018 db/conf/kdd/kdd2018.html#RabbanyBD18 Lujie Chen Artur Dubrawski Accelerated apprenticeship: teaching data science problem solving skills at scale. 39:1-39:4 2018 L@S https://doi.org/10.1145/3231644.3231697 conf/lats/2018 db/conf/lats/lats2018.html#ChenD18 Dhivya Eswaran Reihaneh Rabbany Artur W. Dubrawski Christos Faloutsos Social-Affiliation Networks: Patterns and the SOAR Model. 105-121 2018 ECML/PKDD (2) https://doi.org/10.1007/978-3-030-10928-8_7 conf/pkdd/2018-2 db/conf/pkdd/pkdd2018-2.html#EswaranRDF18

Igor Gitman Jieshi Chen Eric Lei Artur Dubrawski Novel Prediction Techniques Based on Clusterwise Linear Regression. 2018 abs/1804.10742 CoRR http://arxiv.org/abs/1804.10742 db/journals/corr/corr1804.html#abs-1804-10742

Yichong Xu Hariank Muthakana Sivaraman Balakrishnan Aarti Singh Artur Dubrawski Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. 2018 abs/1806.03286 CoRR http://arxiv.org/abs/1806.03286 db/journals/corr/corr1806.html#abs-1806-03286

Maria De-Arteaga Artur Dubrawski Alexandra Chouldechova Learning under selective labels in the presence of expert consistency. 2018 abs/1807.00905 CoRR http://arxiv.org/abs/1807.00905 db/journals/corr/corr1807.html#abs-1807-00905

Matt Barnes 0001 Artur Dubrawski Dependency Leakage: Analysis and Scalable Estimators. 2018 abs/1807.06713 CoRR http://arxiv.org/abs/1807.06713 db/journals/corr/corr1807.html#abs-1807-06713

Kin Gutierrez Jin Li Cristian Challu Artur Dubrawski Double Adaptive Stochastic Gradient Optimization. 2018 abs/1811.02525 CoRR http://arxiv.org/abs/1811.02525 db/journals/corr/corr1811.html#abs-1811-02525

Mathieu Guillame-Bert Artur Dubrawski Donghan Wang Marilyn Hravnak Gilles Clermont Michael R. Pinsky Learning temporal rules to forecast instability in continuously monitored patients. 47-53 2017 24 J. Am. Medical Informatics Assoc. 1 https://doi.org/10.1093/jamia/ocw048 https://www.wikidata.org/entity/Q39702030 db/journals/jamia/jamia24.html#Guillame-BertDW17

Mathieu Guillame-Bert Artur Dubrawski Classification of Time Sequences using Graphs of Temporal Constraints. 121:1-121:34 2017 18 J. Mach. Learn. Res. https://jmlr.org/papers/v18/15-403.html db/journals/jmlr/jmlr18.html#Guillame-BertD17

Chirag Nagpal Kyle Miller 0001 Benedikt Boecking Artur Dubrawski An Entity Resolution Approach to Isolate Instances of Human Trafficking Online. 77-84 2017 NUT@EMNLP https://doi.org/10.18653/v1/w17-4411 https://aclanthology.org/W17-4411/ conf/aclnut/2017 db/conf/aclnut/aclnut2017.html#NagpalMBD17 Xuan Wang Lujie Chen Marilyn Hravnak Gilles Clermont Michael R. Pinsky Artur Dubrawski Utility of Anti-hypertension Prescription Orders in Predicting Future Hypertensive Instability Events. 2017 AMIA https://knowledge.amia.org/65881-amiab-1.4254737/t004-1.4257399/f004-1.4257400/2712173-1.4257500/2729020-1.4257497 conf/amia/2017 db/conf/amia/amia2017.html#WangCHCPD17 Chao Liu 0064 Srinivasa G. Narasimhan Artur W. Dubrawski Matting and Depth Recovery of Thin Structures Using a Focal Stack. 4782-4790 2017 CVPR https://doi.org/10.1109/CVPR.2017.508 https://doi.ieeecomputersociety.org/10.1109/CVPR.2017.508 conf/cvpr/2017 db/conf/cvpr/cvpr2017.html#LiuND17 Chirag Nagpal Kyle Miller 0001 Tiffany Pellathy Marilyn Hravnak Gilles Clermont Michael R. Pinsky Artur Dubrawski Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. 478-485 2017 ICDM Workshops https://doi.org/10.1109/ICDMW.2017.68 https://doi.ieeecomputersociety.org/10.1109/ICDMW.2017.68 conf/icdm/2017w db/conf/icdm/icdm2017w.html#NagpalMPHCPD17 Sibi Venkatesan James Kyle Miller Jeff Schneider 0001 Artur Dubrawski Scaling Active Search using Linear Similarity Functions. 2878-2884 2017 IJCAI https://doi.org/10.24963/ijcai.2017/401 conf/ijcai/2017 db/conf/ijcai/ijcai2017.html#VenkatesanMSD17 Lujie Chen Artur Dubrawski Learning from learning curves: discovering interpretable learning trajectories. 544-545 2017 LAK https://doi.org/10.1145/3027385.3029449 conf/lak/2017 db/conf/lak/lak2017.html#ChenD17 Yichong Xu Hongyang Zhang 0001 Aarti Singh Artur Dubrawski Kyle Miller 0001 Noise-Tolerant Interactive Learning Using Pairwise Comparisons. 2431-2440 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/e11943a6031a0e6114ae69c257617980-Abstract.html http://papers.nips.cc/paper/6837-noise-tolerant-interactive-learning-using-pairwise-comparisons conf/nips/2017 db/conf/nips/nips2017.html#XuZSDM17 Reihaneh Rabbany Dhivya Eswaran Artur W. Dubrawski Christos Faloutsos Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe). 225-237 2017 PAKDD (1) https://doi.org/10.1007/978-3-319-57454-7_18 conf/pakdd/2017-1 db/conf/pakdd/pakdd2017-1.html#RabbanyEDF17 Matt Barnes 0001 Artur Dubrawski The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters. 2017 UAI http://auai.org/uai2017/proceedings/papers/87.pdf conf/uai/2017 db/conf/uai/uai2017.html#BarnesD17

Sibi Venkatesan James Kyle Miller Jeff Schneider 0001 Artur Dubrawski Scaling Active Search using Linear Similarity Functions. 2017 abs/1705.00334 CoRR http://arxiv.org/abs/1705.00334 db/journals/corr/corr1705.html#VenkatesanMSD17

Eric Lei Kyle Miller 0001 Artur Dubrawski Learning Mixtures of Multi-Output Regression Models by Correlation Clustering for Multi-View Data. 2017 abs/1709.05602 CoRR http://arxiv.org/abs/1709.05602 db/journals/corr/corr1709.html#abs-1709-05602

Prateek Tandon 0002 Peter Huggins Robert A. MacLachlan Artur Dubrawski Karl Nelson Simon Labov Detection of radioactive sources in urban scenes using Bayesian Aggregation of data from mobile spectrometers. 195-206 2016 57 Inf. Syst. https://doi.org/10.1016/j.is.2015.10.006 https://www.wikidata.org/entity/Q115041966 db/journals/is/is57.html#TandonHMDNL16

Lujie Chen Gilles Clermont Marilyn Hravnak Michael R. Pinsky Artur Dubrawski A Framework for Visual Tracking of Risk and its Drivers in Monitoring Patients Susceptible for Cardiorespiratory Instability. 2016 AMIA https://knowledge.amia.org/amia-63300-1.3360278/t001-1.3365273/f001-1.3365274/2499524-1.3365621/2498879-1.3365616 conf/amia/2016 db/conf/amia/amia2016.html#ChenCHPD16 Lujie Chen Xin Li Zhuyun Xia Zhanmei Song Louis-Philippe Morency Artur Dubrawski Riding an emotional roller-coaster: A multimodal study of young child's math problem solving activities. 38-45 2016 EDM http://www.educationaldatamining.org/EDM2016/proceedings/paper_76.pdf conf/edm/2016 db/conf/edm/edm2016.html#ChenLXSMD16 Donghan Wang Madalina Fiterau Artur Dubrawski VIPR: An Interactive Tool for Meaningful Visualization of High-Dimensional Data. 4274-4275 2016 IJCAI http://www.ijcai.org/Abstract/16/657 conf/ijcai/2016 db/conf/ijcai/ijcai2016.html#WangFD16 Reuben M. Aronson Ankit Bhatia Zhenzhong Jia Mathieu Guillame-Bert David A. Bourne Artur Dubrawski Matthew T. Mason Data-Driven Classification of Screwdriving Operations. 244-253 2016 ISER https://doi.org/10.1007/978-3-319-50115-4_22 conf/iser/2016 db/conf/iser/iser2016.html#AronsonBJGBDM16

Mathieu Guillame-Bert Artur Dubrawski Batched Lazy Decision Trees. 2016 abs/1603.02578 CoRR http://arxiv.org/abs/1603.02578 db/journals/corr/corr1603.html#Guillame-BertD16

Prateek Tandon 0002 Peter Huggins Artur Dubrawski Simon Labov Karl Nelson Suppressing Background Radiation Using Poisson Principal Component Analysis. 2016 abs/1605.08455 CoRR http://arxiv.org/abs/1605.08455 db/journals/corr/corr1605.html#TandonHDLN16

Matt Barnes 0001 Nick Gisolfi Madalina Fiterau Artur Dubrawski Leveraging Common Structure to Improve Prediction across Related Datasets. 4144-4145 2015 AAAI https://doi.org/10.1609/aaai.v29i1.9746 conf/aaai/2015 db/conf/aaai/aaai2015.html#BarnesGFD15 Madalina Fiterau Artur Dubrawski Active Learning for Informative Projection Retrieval. 4158-4159 2015 AAAI https://doi.org/10.1609/aaai.v29i1.9742 conf/aaai/2015 db/conf/aaai/aaai2015.html#FiterauD15 Nick Gisolfi Madalina Fiterau Artur Dubrawski Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System. 4164-4165 2015 AAAI https://doi.org/10.1609/aaai.v29i1.9748 conf/aaai/2015 db/conf/aaai/aaai2015.html#GisolfiFD15 Lujie Chen Artur Dubrawski Marilyn Hravnak Gilles Clermont Michael R. Pinsky Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process. 2015 AMIA https://knowledge.amia.org/59310-amia-1.2741865/t007-1.2744224/f007-1.2744225/2248935-1.2744318/2220993-1.2744315 conf/amia/2015 db/conf/amia/amia2015.html#ChenDHCP15 Chao Liu 0064 Hernando Gomez Srinivasa G. Narasimhan Artur Dubrawski Michael R. Pinsky Brian Zuckerbraun Real-time visual analysis of microvascular blood flow for critical care. 2217-2225 2015 CVPR https://doi.org/10.1109/CVPR.2015.7298834 https://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298834 conf/cvpr/2015 db/conf/cvpr/cvpr2015.html#LiuGNDPZ15

Matt Barnes 0001 Kyle Miller 0001 Artur Dubrawski Performance Bounds for Pairwise Entity Resolution. 2015 abs/1509.03302 CoRR http://arxiv.org/abs/1509.03302 db/journals/corr/corr1509.html#BarnesMD15

Chirag Nagpal Kyle Miller 0001 Benedikt Boecking Artur Dubrawski An Entity Resolution approach to isolate instances of Human Trafficking online. 2015 abs/1509.06659 CoRR http://arxiv.org/abs/1509.06659 db/journals/corr/corr1509.html#NagpalMBD15

Maria De-Arteaga Artur Dubrawski Peter Huggins Canonical Autocorrelation Analysis. 2015 abs/1511.06419 CoRR http://arxiv.org/abs/1511.06419 db/journals/corr/corr1511.html#De-ArteagaDH15

Madalina Fiterau Artur Dubrawski Informative Projection Recovery for Classification, Clustering and Regression. 15-20 2013 ICMLA (1) https://doi.org/10.1109/ICMLA.2013.11 conf/icmla/2013-1 db/conf/icmla/icmla2013-1.html#FiterauD13 Madalina Fiterau Artur Dubrawski Projection Retrieval for Classification. 3032-3040 2012 NIPS https://proceedings.neurips.cc/paper/2012/hash/ea8fcd92d59581717e06eb187f10666d-Abstract.html http://papers.nips.cc/paper/4791-projection-retrieval-for-classification conf/nips/2012 db/conf/nips/nips2012.html#FiterauD12

Nuwan Waidyanatha Artur Dubrawski M. Ganesan Gordon A. Gow Affordable System for Rapid Detection and Mitigation of Emerging Diseases. 73-90 2011 2 Int. J. E Health Medical Commun. 1 https://doi.org/10.4018/jehmc.2011010105 db/journals/ijehmc/ijehmc2.html#WaidyanathaDGG11

Artur Dubrawski John Östlund Lujie Chen Andrew W. Moore 0001 Computationally efficient scoring of activity using demographics and connectivity of entities. 77-89 2010 11 Inf. Technol. Manag. 2 https://doi.org/10.1007/s10799-010-0069-y db/journals/itm/itm11.html#DubrawskiOCM10

Julian Ramos 0001 Sajid M. Siddiqi Artur Dubrawski Geoffrey J. Gordon Abhishek Sharma Automatic state discovery for unstructured audio scene classification. 2154-2157 2010 ICASSP https://doi.org/10.1109/ICASSP.2010.5495605 conf/icassp/2010 db/conf/icassp/icassp2010.html#RamosSDGS10 Nuwan Waidyanatha Chamindu Sampath Artur Dubrawski Maheshkumar Sabhnani Lujie Chen M. Ganesan Pushpa Mary Vincy T-Cube Web Interface as a Tool for Detecting Disease Outbreaks in Real-Time: A Pilot in India and Sri Lanka. 1-4 2010 RIVF https://doi.org/10.1109/RIVF.2010.5633019 conf/rivf/2010 db/conf/rivf/rivf2010.html#WaidyanathaSDSCGV10 Yi Zhang 0010 Jeff G. Schneider Artur Dubrawski Learning Compressible Models. 872-881 2010 SDM https://doi.org/10.1137/1.9781611972801.76 conf/sdm/2010 db/conf/sdm/sdm2010.html#ZhangSD10 Artur Dubrawski Purnamrita Sarkar Lujie Chen Trade-offs between Agility and Reliability of Predictions in Dynamic Social Networks Used to Model Risk of Microbial Contamination of Food. 125-130 2009 ASONAM https://doi.org/10.1109/ASONAM.2009.70 https://doi.ieeecomputersociety.org/10.1109/ASONAM.2009.70 conf/asunam/2009 db/conf/asunam/asunam2009.html#DubrawskiSC09 Artur Dubrawski Maheshkumar Sabhnani Michael Knight Michael Baysek Daniel B. Neill Saswati Ray Anna Michalska Nuwan Waidyanatha T-Cube Web Interface in support of real-time bio-surveillance program. 495 2009 ICTD https://doi.org/10.1109/ICTD.2009.5426730 conf/ictd/2009 db/conf/ictd/ictd2009.html#DubrawskiSKBNRMW09 Josep Roure Artur Dubrawski Jeff G. Schneider Learning Detectors of Events in Multivariate Time Series. 2008 AMIA https://knowledge.amia.org/amia-55142-a2008a-1.625176/t-002-1.625979/f-001-1.625980/a-034-1.625999/a-035-1.625996 conf/amia/2008 db/conf/amia/amia2008.html#RoureDS08 Purnamrita Sarkar Lujie Chen Artur Dubrawski Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilities. 56-63 2008 BioSecure https://doi.org/10.1007/978-3-540-89746-0_6 conf/biosurveillance/2008 db/conf/biosurveillance/biosecure2008.html#SarkarCD08 Yi Zhang 0010 Jeff G. Schneider Artur Dubrawski Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text. 1945-1952 2008 NIPS https://proceedings.neurips.cc/paper/2008/hash/f2201f5191c4e92cc5af043eebfd0946-Abstract.html http://papers.nips.cc/paper/3490-learning-the-semantic-correlation-an-alternative-way-to-gain-from-unlabeled-text conf/nips/2008 db/conf/nips/nips2008.html#ZhangSD08 Artur Dubrawski Michael Baysek Shannon Mikus Charles McDaniel Bradley Mowry Laurel Moyer John Östlund Norman K. Sondheimer Timothy Stewart Applying Outbreak Detection Algorithms to Prognostics. 36-43 2007 AAAI Fall Symposium: Artificial Intelligence for Prognostics https://www.aaai.org/Library/Symposia/Fall/2007/fs07-02-006.php conf/aaaifs/2007-2 db/conf/aaaifs/aaaifs2007-2.html#DubrawskiBMMMMO07 Josep Roure Artur Dubrawski Jeff G. Schneider A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data. 124-133 2007 conf/biosurveillance/2007 BioSurveillance https://doi.org/10.1007/978-3-540-72608-1_12 db/conf/biosurveillance/biosurveillance2007.html#RoureDS07 Artur Dubrawski Kimberly Elenberg Andrew W. Moore 0001 Maheshkumar Sabhnani Monitoring Food Safety by Detecting Patterns in Consumer Complaints. 2006 conf/aaai/2006 AAAI db/conf/aaai/aaai2006.html#DubrawskiEMS06 http://www.aaai.org/Library/AAAI/2006/aaai06-295.php 1782-1788 Artur Dubrawski Barbara Siemiatkowska A Method for Tracking Pose of a Mobile Robot Equipped with a Scanning Laser Range Finder. 2518-2523 1998 conf/icra/1998 ICRA db/conf/icra/icra1998-3.html#DubrawskiS98 https://doi.org/10.1109/ROBOT.1998.680720 Barbara Siemiatkowska Artur Dubrawski Cellular Neural Networks for Navigation of a Mobile Robot. 147-154 1998 conf/rsctc/1998 Rough Sets and Current Trends in Computing https://doi.org/10.1007/3-540-69115-4_21 db/conf/rsctc/rsctc1998.html#SiemiatkowskaD98

Artur Dubrawski Stochastic validation for automated tuning of neural network's hyper-parameters. 83-93 1997 21 Robotics Auton. Syst. 1 https://doi.org/10.1016/S0921-8890(97)00008-0 db/journals/ras/ras21.html#Dubrawski97

Artur Dubrawski Jeff Schneider 0001 Memory Based Stochastic Optimization for Validation and Tuning of Function Approximators. 165-172 1997 AISTATS https://proceedings.mlr.press/r1/dubrawski97a.html conf/aistats/1997 db/conf/aistats/aistats1997.html#Dubrawski097 Artur Dubrawski Tuning neural networks with stochastic optimization. 614-620 1997 IROS https://doi.org/10.1109/IROS.1997.655075 conf/iros/1997 db/conf/iros/iros1997.html#Dubrawski97

Janusz W. Racz Artur Dubrawski Artificial neural network for mobile robot topological localization. 73-80 1995 16 Robotics Auton. Syst. 1 https://doi.org/10.1016/0921-8890(95)00035-E db/journals/ras/ras16.html#RaczD95

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