Madalina Fiterau

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 26

Top Topics

Top Venues

Publications

Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau
A/B testing under Interference with Partial Network Information. CoRR (2024)
Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau
A/B testing under Interference with Partial Network Information. AISTATS (2024)
Iman Deznabi, Peeyush Kumar, Madalina Fiterau
Zero-shot Microclimate Prediction with Deep Learning. CoRR (2024)
Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau
Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. MICCAI (7) (2023)
Iman Deznabi, Madalina Fiterau
MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction. CHIL (2023)
Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau
Direct Inference of Effect of Treatment (DIET) for a Cookieless World. AISTATS (2023)
Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau
Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. CoRR (2023)
Iman Deznabi, Madalina Fiterau
MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction. CoRR (2023)
Shiv Shankar, Laure Thompson, Madalina Fiterau
Progressive Fusion for Multimodal Integration. CoRR (2022)
Nicholas Polosky, Bruno C. Da Silva, Madalina Fiterau, Jithin Jagannath
Constrained Offline Policy Optimization. ICML (2022)
Iman Deznabi, Tamanna Motahar, Ali Sarvghad, Madalina Fiterau, Narges Mahyar
Impact of the COVID-19 Pandemic on the Academic Community Results from a survey conducted at University of Massachusetts Amherst. Digit. Gov. Res. Pract. 2 (2) (2021)
Iman Deznabi, Mohit Iyyer, Madalina Fiterau
Predicting in-hospital mortality by combining clinical notes with time-series data. ACL/IJCNLP (Findings) (2021)
Edmond Cunningham, Madalina Fiterau
A Change of Variables Method For Rectangular Matrix-Vector Products. AISTATS (2021)
Purva Pruthi, Javier González, Xiaoyu Lu, Madalina Fiterau
Structure Mapping for Transferability of Causal Models. CoRR (2020)
Surya Teja Devarakonda, Yeahuay Joie Wu, Yi Ren Fung, Madalina Fiterau
FLARe: Forecasting by Learning Anticipated Representations. MLHC (2019)
Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman
Pedestrian Detection in Thermal Images Using Saliency Maps. CVPR Workshops (2019)
Bhanu Pratap Singh, Iman Deznabi, Bharath Narasimhan, Bryon Kucharski, Rheeya Uppaal, Akhila Josyula, Madalina Fiterau
Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT). CoRR (2019)
Yi Ren Fung, Ziqiang Guan, Ritesh Kumar, Yeahuay Joie Wu, Madalina Fiterau
Alzheimer's Disease Brain MRI Classification: Challenges and Insights. CoRR (2019)
Abhinav Shaw, Natcha Simsiri, Iman Deznaby, Madalina Fiterau, Tauhidur Rahman
Personalized Student Stress Prediction with Deep Multitask Network. CoRR (2019)
Yeahuay Joie Wu, Surya Teja Devarakonda, Madalina Fiterau
FLARe: Forecasting by Learning Anticipated Representations. CoRR (2019)
Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman
Pedestrian Detection in Thermal Images using Saliency Maps. CoRR (2019)
Ziqiang Guan, Ritesh Kumar, Yi Ren Fung, Yeahuay Wu, Madalina Fiterau
A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks. CoRR (2019)
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
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR (2018)
Madalina Fiterau, Suvrat Bhooshan, Jason A. Fries, Charles Bournhonesque, Jennifer L. Hicks, Eni Halilaj, Christopher Ré, Scott L. Delp
ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information. MLHC (2017)
Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulò
Deep Neural Decision Forests. IJCAI (2016)
Donghan Wang, Madalina Fiterau, Artur Dubrawski
VIPR: An Interactive Tool for Meaningful Visualization of High-Dimensional Data. IJCAI (2016)
Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski
Leveraging Common Structure to Improve Prediction across Related Datasets. AAAI (2015)
Madalina Fiterau, Artur Dubrawski
Active Learning for Informative Projection Retrieval. AAAI (2015)
Nick Gisolfi, Madalina Fiterau, Artur Dubrawski
Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System. AAAI (2015)
Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulò
Deep Neural Decision Forests. ICCV (2015)
Madalina Fiterau, Artur Dubrawski
Informative Projection Recovery for Classification, Clustering and Regression. ICMLA (1) (2013)
Madalina Fiterau, Artur Dubrawski
Projection Retrieval for Classification. NIPS (2012)
Madalina Fiterau, Olga Ormond, Gabriel-Miro Muntean
Performance of handover for multiple users in heterogeneous wireless networks. LCN (2009)