Performance of handover for multiple users in heterogeneous wireless networks. - Madalina Fiterau; Olga Ormond; Gabriel-Miro Muntean (LCN, 2009)

Projection Retrieval for Classification. - Madalina Fiterau; Artur Dubrawski (NIPS, 2012)

Informative Projection Recovery for Classification, Clustering and Regression. - Madalina Fiterau; Artur Dubrawski (ICMLA (1), 2013)

Leveraging Common Structure to Improve Prediction across Related Datasets. - Matt Barnes 001; Nick Gisolfi; Madalina Fiterau; Artur Dubrawski (AAAI, 2015)

Active Learning for Informative Projection Retrieval. - Madalina Fiterau; Artur Dubrawski (AAAI, 2015)

Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System. - Nick Gisolfi; Madalina Fiterau; Artur Dubrawski (AAAI, 2015)

Discovering Compact and Informative Structures through Data Partitioning. - Madalina Fiterau (2015)

Deep Neural Decision Forests. - Peter Kontschieder; Madalina Fiterau; Antonio Criminisi; Samuel Rota Bulò (IJCAI, 2016)

VIPR: An Interactive Tool for Meaningful Visualization of High-Dimensional Data. - Donghan Wang; Madalina Fiterau; Artur Dubrawski (IJCAI, 2016)

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 (MLHC, 2017)

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)

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

FLARe: Forecasting by Learning Anticipated Representations. - Surya Teja Devarakonda; Yeahuay Joie Wu; Yi Ren Fung 001; Madalina Fiterau (MLHC, 2019)

A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks. - Ziqiang Guan; Ritesh Kumar; Yi Ren Fung 001; 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 001; 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)

Normalizing Flows Across Dimensions. - Edmond Cunningham; Renos Zabounidis; Abhinav Agrawal 001; Ina Fiterau; Daniel Sheldon (CoRR, 2020)

Structure Mapping for Transferability of Causal Models. - Purva Pruthi; Javier González 002; Xiaoyu Lu; Madalina Fiterau (CoRR, 2020)

Predicting in-hospital mortality by combining clinical notes with time-series data. - Iman Deznabi; Mohit Iyyer; Madalina Fiterau (ACL/IJCNLP (Findings), 2021)

A Change of Variables Method For Rectangular Matrix-Vector Products. - Edmond Cunningham; Madalina Fiterau (AISTATS, 2021)

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)

Constrained Offline Policy Optimization. - Nicholas Polosky; Bruno C. da Silva 001; Madalina Fiterau; Jithin Jagannath (ICML, 2022)

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

Direct Inference of Effect of Treatment (DIET) for a Cookieless World. - Shiv Shankar; Ritwik Sinha; Saayan Mitra; Moumita Sinha; Madalina Fiterau (AISTATS, 2023)

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

Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. - Ke Xiao; Erik G. Learned-Miller; Evangelos Kalogerakis; James Priest; Madalina Fiterau (MICCAI (7), 2023)

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

On Online Experimentation without Device Identifiers. - Shiv Shankar; Ritwik Sinha; Madalina Fiterau (ICML, 2024)

Estimating Counterfactual Distributions under Interference. - Shiv Shankar; Ritwik Sinha; Madalina Fiterau (ML4H@NeurIPS, 2024)

Optimal fusion of genotype and drug embeddings in predicting cancer drug response. - Trang Nguyen; Anthony Campbell; Ankit Kumar; Edwin Amponsah; Madalina Fiterau; Leili Shahriyari (Briefings Bioinform., 2024)

Zero-shot Microclimate Prediction with Deep Learning. - Iman Deznabi; Peeyush Kumar; 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)

Experimentation under Treatment Dependent Network Interference. - Shiv Shankar; Ritwik Sinha; Madalina Fiterau (UAI, 2025)

Combining A/A Data and LLMs for Improved Content Evaluation. - Shiv Shankar; Ritwik Sinha; Madalina Fiterau (WWW (Companion Volume), 2025)

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)

Audio-Visual Speech Separation via Bottleneck Iterative Network. - Sidong Zhang; Shiv Shankar; Trang Nguyen; Andrea Fanelli; Madalina Fiterau (CoRR, 2025)