Madalina Fiterau

47 papers A* 8A 4B 1Journal 20Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation. J. Am. Medical Informatics Assoc. 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, Madalina Fiterau, Zachary C. Lipton, Daniel Malinsky, Madhur Nayan, Hongseok Namkoong, Soojin Park, Julia E. Vogt, Rajesh Ranganath
2025	J	`jnl`	Audio-Visual Speech Separation via Bottleneck Iterative Network. CoRR Sidong Zhang, Shiv Shankar, Trang Nguyen, Andrea Fanelli, Madalina Fiterau
2025	—	`conf`	Augmenting Randomized Controlled Trials with Foundation Models as Synthetic Units. BCB Shiv Shankar, Madalina Fiterau
2025	J	`jnl`	Challenges in Understanding Modality Conflict in Vision-Language Models. CoRR Trang Nguyen, Jackson Michaels, Madalina Fiterau, David Jensen
2025	—	`conf`	Combining A/A Data and LLMs for Improved Content Evaluation. WWW (Companion Volume) Shiv Shankar, Ritwik Sinha, Madalina Fiterau
2025	A	`conf`	Experimentation under Treatment Dependent Network Interference. UAI Shiv Shankar, Ritwik Sinha, Madalina Fiterau
2025	J	`jnl`	Resolution-Aware Retrieval Augmented Zero-Shot Forecasting. CoRR Iman Deznabi, Peeyush Kumar, Madalina Fiterau
2024	A	`conf`	A/B testing under Interference with Partial Network Information. AISTATS Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau
2024	J	`jnl`	A/B testing under Interference with Partial Network Information. CoRR Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau
2024	—	`conf`	Estimating Counterfactual Distributions under Interference. ML4H@NeurIPS Shiv Shankar, Ritwik Sinha, Madalina Fiterau
2024	J	`jnl`	Leveraging Foundation Language Models (FLMs) for Automated Cohort Extraction from Large EHR Databases. CoRR Purity Mugambi, Alexandra Meliou, Madalina Fiterau
2024	—	`ed.`	Machine Learning for Healthcare Conference, 16-17 August 2024, Toronto, Canada. MLHC Kaivalya Deshpande, Madalina Fiterau, Shalmali Joshi, Zachary C. Lipton, Rajesh Ranganath, Iñigo Urteaga
2024	A*	`conf`	On Online Experimentation without Device Identifiers. ICML Shiv Shankar, Ritwik Sinha, Madalina Fiterau
2024	J	`jnl`	Optimal fusion of genotype and drug embeddings in predicting cancer drug response. Briefings Bioinform. Trang Nguyen, Anthony Campbell, Ankit Kumar, Edwin Amponsah, Madalina Fiterau, Leili Shahriyari
2024	J	`jnl`	Zero-shot Microclimate Prediction with Deep Learning. CoRR Iman Deznabi, Peeyush Kumar, Madalina Fiterau
2023	A	`conf`	Direct Inference of Effect of Treatment (DIET) for a Cookieless World. AISTATS Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau
2023	—	`conf`	Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. MICCAI (7) Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau
2023	J	`jnl`	Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. CoRR Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau
2023	—	`ed.`	Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA. MLHC Kaivalya Deshpande, Madalina Fiterau, Shalmali Joshi, Zachary C. Lipton, Rajesh Ranganath, Iñigo Urteaga, Serene Yeung
2023	—	`conf`	MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction. CHIL Iman Deznabi, Madalina Fiterau
2023	J	`jnl`	MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction. CoRR Iman Deznabi, Madalina Fiterau
2022	A*	`conf`	Constrained Offline Policy Optimization. ICML Nicholas Polosky, Bruno C. da Silva, Madalina Fiterau, Jithin Jagannath
2022	J	`jnl`	Progressive Fusion for Multimodal Integration. CoRR Shiv Shankar, Laure Thompson, Madalina Fiterau
2021	A	`conf`	A Change of Variables Method For Rectangular Matrix-Vector Products. AISTATS Edmond Cunningham, Madalina Fiterau
2021	J	`jnl`	Impact of the COVID-19 Pandemic on the Academic Community Results from a survey conducted at University of Massachusetts Amherst. Digit. Gov. Res. Pract. Iman Deznabi, Tamanna Motahar, Ali Sarvghad, Madalina Fiterau, Narges Mahyar
2021	—	`conf`	Predicting in-hospital mortality by combining clinical notes with time-series data. ACL/IJCNLP (Findings) Iman Deznabi, Mohit Iyyer, Madalina Fiterau
2020	J	`jnl`	Structure Mapping for Transferability of Causal Models. CoRR Purva Pruthi, Javier González, Xiaoyu Lu, Madalina Fiterau
2019	J	`jnl`	A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks. CoRR Ziqiang Guan, Ritesh Kumar, Yi Ren Fung, Yeahuay Wu, Madalina Fiterau
2019	J	`jnl`	Alzheimer's Disease Brain MRI Classification: Challenges and Insights. CoRR Yi Ren Fung, Ziqiang Guan, Ritesh Kumar, Yeahuay Joie Wu, Madalina Fiterau
2019	—	`conf`	FLARe: Forecasting by Learning Anticipated Representations. MLHC Surya Teja Devarakonda, Yeahuay Joie Wu, Yi Ren Fung, Madalina Fiterau
2019	J	`jnl`	FLARe: Forecasting by Learning Anticipated Representations. CoRR Yeahuay Joie Wu, Surya Teja Devarakonda, Madalina Fiterau
2019	J	`jnl`	Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT). CoRR Bhanu Pratap Singh, Iman Deznabi, Bharath Narasimhan, Bryon Kucharski, Rheeya Uppaal, Akhila Josyula, Madalina Fiterau
2019	—	`conf`	Pedestrian Detection in Thermal Images Using Saliency Maps. CVPR Workshops Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman
2019	J	`jnl`	Pedestrian Detection in Thermal Images using Saliency Maps. CoRR Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman
2019	J	`jnl`	Personalized Student Stress Prediction with Deep Multitask Network. CoRR Abhinav Shaw, Natcha Simsiri, Iman Deznaby, Madalina Fiterau, Tauhidur Rahman
2018	J	`jnl`	Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR 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, Jasvinder S. Kandola, Matthew B. A. McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi
2017	—	`conf`	ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information. MLHC Madalina Fiterau, Suvrat Bhooshan, Jason A. Fries, Charles Bournhonesque, Jennifer L. Hicks, Eni Halilaj, Christopher Ré, Scott L. Delp
2016	A*	`conf`	Deep Neural Decision Forests. IJCAI Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulò
2016	A*	`conf`	VIPR: An Interactive Tool for Meaningful Visualization of High-Dimensional Data. IJCAI Donghan Wang, Madalina Fiterau, Artur Dubrawski
2015	A*	`conf`	Active Learning for Informative Projection Retrieval. AAAI Madalina Fiterau, Artur Dubrawski
2015	A*	`conf`	Deep Neural Decision Forests. ICCV Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulò
2015	—	`—`	Discovering Compact and Informative Structures through Data Partitioning. Madalina Fiterau
2015	A*	`conf`	Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System. AAAI Nick Gisolfi, Madalina Fiterau, Artur Dubrawski
2015	A*	`conf`	Leveraging Common Structure to Improve Prediction across Related Datasets. AAAI Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski
2013	—	`conf`	Informative Projection Recovery for Classification, Clustering and Regression. ICMLA (1) Madalina Fiterau, Artur Dubrawski
2012	—	`conf`	Projection Retrieval for Classification. NIPS Madalina Fiterau, Artur Dubrawski
2009	B	`conf`	Performance of handover for multiple users in heterogeneous wireless networks. LCN Madalina Fiterau, Olga Ormond, Gabriel-Miro Muntean