AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation - Shalmali Joshi; Iñigo Urteaga; Wouter A. C. van Amsterdam; George Hripcsak; Pierre A. Elias; Benjamin R. C. Amor; Noémie Elhadad; James C. Fackler; Mark P. Sendak; Jenna Wiens; Kaivalya Deshpande; Yoav Wald; et al. (J. Am. Medical Informatics Assoc., 2025)

A/B testing under Interference with Partial Network Information - Shiv Shankar; Ritwik Sinha; Yash Chandak; Saayan Mitra; Madalina Fiterau (International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain, 2024)

On Online Experimentation without Device Identifiers - Shiv Shankar; Ritwik Sinha; Madalina Fiterau (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Zero-shot Microclimate Prediction with Deep Learning - Iman Deznabi; Peeyush Kumar; Madalina Fiterau (CoRR, 2024)

A/B testing under Interference with Partial Network Information - Shiv Shankar; Ritwik Sinha; Yash Chandak; Saayan Mitra; Madalina Fiterau (CoRR, 2024)

Leveraging Foundation Language Models (FLMs) for Automated Cohort Extraction from Large EHR Databases - Purity Mugambi; Alexandra Meliou; Madalina Fiterau (CoRR, 2024)

Direct Inference of Effect of Treatment (DIET) for a Cookieless World - Shiv Shankar; Ritwik Sinha; Saayan Mitra; Moumita Sinha; Madalina Fiterau (International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023)

MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction - Iman Deznabi; Madalina Fiterau (Conference on Health, Inference, and Learning, CHIL 2023, Broad Institute of MIT and Harvard (Merkin Building), 415 Main Street, Cambridge, MA, USA, 2023)

Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging - Ke Xiao; Erik G. Learned-Miller; Evangelos Kalogerakis; James Priest; Madalina Fiterau (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII, 2023)

Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA - Kaivalya Deshpande; Madalina Fiterau; Shalmali Joshi; Zachary C. Lipton; Rajesh Ranganath; Iñigo Urteaga; Serene Yeung (PMLR, 2023)

MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction - Iman Deznabi; Madalina Fiterau (CoRR, 2023)

Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging - Ke Xiao; Erik G. Learned-Miller; Evangelos Kalogerakis; James Priest; Madalina Fiterau (CoRR, 2023)

Constrained Offline Policy Optimization - Nicholas Polosky; Bruno C. da Silva; Madalina Fiterau; Jithin Jagannath (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Progressive Fusion for Multimodal Integration - Shiv Shankar; Laure Thompson; Madalina Fiterau (CoRR, 2022)

Impact of the COVID-19 Pandemic on the Academic Community Results from a survey conducted at University of Massachusetts Amherst - Iman Deznabi; Tamanna Motahar; Ali Sarvghad; Madalina Fiterau; Narges Mahyar (Digit. Gov. Res. Pract., 2021)

Predicting in-hospital mortality by combining clinical notes with time-series data - Iman Deznabi; Mohit Iyyer; Madalina Fiterau (Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021, 2021)

A Change of Variables Method For Rectangular Matrix-Vector Products - Edmond Cunningham; Madalina Fiterau (The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event, 2021)

Normalizing Flows Across Dimensions - Edmond Cunningham; Renos Zabounidis; Abhinav Agrawal; Ina Fiterau; Daniel Sheldon (CoRR, 2020)

Structure Mapping for Transferability of Causal Models - Purva Pruthi; Javier González; Xiaoyu Lu; Madalina Fiterau (CoRR, 2020)

Pedestrian Detection in Thermal Images Using Saliency Maps - Debasmita Ghose; Shasvat Mukeshkumar Desai; Sneha Bhattacharya; Deep Chakraborty; Madalina Fiterau; Tauhidur Rahman (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

FLARe: Forecasting by Learning Anticipated Representations - Surya Teja Devarakonda; Yeahuay Joie Wu; Yi Ren Fung; Madalina Fiterau (Proceedings of the Machine Learning for Healthcare Conference, MLHC 2019, 9-10 August 2019, Ann Arbor, Michigan, USA, 2019)

Pedestrian Detection in Thermal Images using Saliency Maps - Debasmita Ghose; Shasvat Mukeshkumar Desai; Sneha Bhattacharya; Deep Chakraborty; Madalina Fiterau; Tauhidur Rahman (CoRR, 2019)

A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks - Ziqiang Guan; Ritesh Kumar; Yi Ren Fung; Yeahuay Wu; Madalina Fiterau (CoRR, 2019)

FLARe: Forecasting by Learning Anticipated Representations - Yeahuay Joie Wu; Surya Teja Devarakonda; Madalina Fiterau (CoRR, 2019)

Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT) - Bhanu Pratap Singh; Iman Deznabi; Bharath Narasimhan; Bryon Kucharski; Rheeya Uppaal; Akhila Josyula; Madalina Fiterau (CoRR, 2019)

Alzheimer's Disease Brain MRI Classification: Challenges and Insights - Yi Ren Fung; Ziqiang Guan; Ritesh Kumar; Yeahuay Joie Wu; Madalina Fiterau (CoRR, 2019)

Personalized Student Stress Prediction with Deep Multitask Network - Abhinav Shaw; Natcha Simsiri; Iman Deznaby; Madalina Fiterau; Tauhidur Rahman (CoRR, 2019)

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 - Natalia Antropova; Andrew L. Beam; Brett K. Beaulieu-Jones; Irene Chen; Corey Chivers; Adrian V. Dalca; Samuel G. Finlayson; Madalina Fiterau; Jason Alan Fries; Marzyeh Ghassemi; Mike Hughes; Bruno Jedynak; et al. (CoRR, 2018)

ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information - Madalina Fiterau; Suvrat Bhooshan; Jason A. Fries; Charles Bournhonesque; Jennifer L. Hicks; Eni Halilaj; Christopher Ré; Scott L. Delp (Proceedings of the Machine Learning for Health Care Conference, MLHC 2017, Boston, Massachusetts, USA, 18-19 August 2017, 2017)

Deep Neural Decision Forests - Peter Kontschieder; Madalina Fiterau; Antonio Criminisi; Samuel Rota Bulò (Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 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, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 2016)

Discovering Compact and Informative Structures through Data Partitioning - Madalina Fiterau (Carnegie Mellon University, USA, 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, January 25-30, 2015, Austin, Texas, USA, 2015)

Active Learning for Informative Projection Retrieval - Madalina Fiterau; Artur Dubrawski (Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, 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, January 25-30, 2015, Austin, Texas, USA, 2015)

Deep Neural Decision Forests - Peter Kontschieder; Madalina Fiterau; Antonio Criminisi; Samuel Rota Bulò (2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015, 2015)

Informative Projection Recovery for Classification, Clustering and Regression - Madalina Fiterau; Artur Dubrawski (12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 1, 2013)

Projection Retrieval for Classification - Madalina Fiterau; Artur Dubrawski (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, Lake Tahoe, Nevada, United States, 2012)

Performance of handover for multiple users in heterogeneous wireless networks - Madalina Fiterau; Olga Ormond; Gabriel-Miro Muntean (The 34th Annual IEEE Conference on Local Computer Networks, LCN 2009, 20-23 October 2009, Zurich, Switzerland, Proceedings, 2009)