Madalina Fiterau

According to our database, Madalina Fiterau authored at least 31 papers between 2009 and 2024.

Collaborative distances:

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

2024

Zero-shot Microclimate Prediction with Deep Learning.

Iman Deznabi, Peeyush Kumar, Madalina Fiterau

CoRR, 2024

On Online Experimentation without Device Identifiers.

Shiv Shankar, Ritwik Sinha, Madalina Fiterau

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A/B testing under Interference with Partial Network Information.

Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging.

Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction.

Iman Deznabi, Madalina Fiterau

Proceedings of the Conference on Health, Inference, and Learning, 2023

Direct Inference of Effect of Treatment (DIET) for a Cookieless World.

Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Progressive Fusion for Multimodal Integration.

Shiv Shankar, Laure Thompson, Madalina Fiterau

CoRR, 2022

Constrained Offline Policy Optimization.

Nicholas Polosky, Bruno C. da Silva, Madalina Fiterau, Jithin Jagannath

Proceedings of the International Conference on Machine Learning, 2022

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

A Change of Variables Method For Rectangular Matrix-Vector Products.

Edmond Cunningham, Madalina Fiterau

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Predicting in-hospital mortality by combining clinical notes with time-series data.

Iman Deznabi, Mohit Iyyer, Madalina Fiterau

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Structure Mapping for Transferability of Causal Models.

Purva Pruthi, Javier González, Xiaoyu Lu, Madalina Fiterau

CoRR, 2020

Normalizing Flows Across Dimensions.

Edmond Cunningham, Renos Zabounidis, Abhinav Agrawal, Ina Fiterau, Daniel Sheldon

CoRR, 2020

2019

Personalized Student Stress Prediction with Deep Multitask Network.

Abhinav Shaw, Natcha Simsiri, Iman Deznaby, Madalina Fiterau, Tauhidur Rahman

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

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

FLARe: Forecasting by Learning Anticipated Representations.

Yeahuay Joie Wu, Surya Teja Devarakonda, Madalina Fiterau

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.

Surya Teja Devarakonda, Yeahuay Joie Wu, Yi Ren Fung, Madalina Fiterau

Proceedings of the Machine Learning for Healthcare Conference, 2019

Pedestrian Detection in Thermal Images Using Saliency Maps.

Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

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, Jasvinder S. Kandola, Matthew B. A. McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi

CoRR, 2018

2017

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, 2017

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

Deep Neural Decision Forests.

Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulò

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

2015

Discovering Compact and Informative Structures through Data Partitioning.

Madalina Fiterau

PhD thesis, 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

2009

Performance of handover for multiple users in heterogeneous wireless networks.

Madalina Fiterau, Olga Ormond, Gabriel-Miro Muntean

Proceedings of the 34th Annual IEEE Conference on Local Computer Networks, 2009