Iman Deznabi, Yunfei Lou, Abhinav Shaw, Natcha Simsiri, Tauhidur Rahman, Madalina Fiterau

Dynamic Clustering via Branched Deep Learning Enhances Personalization of Stress Prediction from Mobile Sensor Data Journal Article

In: Nature Scientific Reports, vol. 14, no. 6631, 2024.

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Iman Deznabi, Peeyush Kumar, Madalina Fiterau

Zero-shot micro-climate prediction with deep learning Workshop


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Iman Deznabi, Madalina Fiterau

MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Timeseries Forecasting and Prediction. Conference

Conference on Health, Inference, and Learning (CHIL 2023), vol. 209, 2023.

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Edmond Cunningham, Adam D Cobb, Susmit Jha

Principal Component Flows Conference


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Christen H Fleming, Iman Deznabi, Shauhin Alavi, Margaret C Crofoot, Ben T Hirsch, E Patricia Medici, Michael J Noonan, Roland Kays, William F Fagan, Daniel Sheldon, Justin M Calabrese

Population-level inference for home-range areas Journal Article

In: Methods in Ecology and Evolution journal (2022), vol. 13, iss. 5, pp. 1027-1041, 2022.

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Iman Deznabi, Mohit Iyyer, Madalina Fiterau

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

Association for Computational Linguistics (ACL-IJCNLP 2021) Findings, 2021.

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Edmond Cunningham, Madalina Fiterau

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


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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 Journal Article

In: ACM, Digital Government: Research and Practive, COVID-19 Commentary, vol. 2, iss. 2, no. 22, pp. 1-12, 2021.

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Edmond Cunningham; Renos Zabounidis; Abhinav Agrawal; Madalina Fiterau; Daniel Sheldon

Normalizing Flows Across Dimensions Workshop

International Conference on Machine Learning (ICML) Workshops 2020, ICML 2020 Inductive biases, invariances and generalization in RL (BIG) workshop, 2020.

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Purva Pruthi; Javier González; Xiaoyu Lu; Madalina Fiterau

Structure Mapping for Transferability of Causal Models Workshop

International Conference on Machine Learning (ICML) Workshops 2020, ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models, 2020.

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Brett Beaulieu-Jones; Samuel G Finlayson; Corey Chivers; Irene Chen; Matthew McDermott; Jaz Kandola; Adrian V Dalca; Andrew Beam; Madalina Fiterau; Tristan Naumann

Trends and Focus of Machine Learning Applications for Health Research Journal Article

In: JAMA network open, vol. 2, no. 10, pp. e1914051–e1914051, 2019.

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Yi Ren Fung; Ziqiang Guan; Ritesh Kumar; Yeahuay Joie Wu; Madalina Fiterau

Alzheimer's Disease Brain MRI Classification: Challenges and Insights Workshop

IJCAI ARIAL Workshop, 2019.

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

FLARe: Forecasting by Learning Anticipated Representations Proceedings Article

In: Proceedings of the Machine Learning for Healthcare Conference, MLHC 2019, 9-10 August 2019, Ann Arbor, Michigan, USA, pp. 53–65, Proceedings of Machine Learning Research, 2019.

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Jason A Fries; Paroma Varma; Vincent S Chen; Ke Xiao; Heliodoro Tejeda; Priyanka Saha; Jared Dunnmon; Henry Chubb; Shiraz Maskatia; Madalina Fiterau; Scott Delp; Euan Ashley; Christopher Ré; James R Priest

Weakly Supervised Classification of Aortic Valve Malformations using Unlabeled Cardiac MRI Sequences Journal Article

In: Nature communications, vol. 10, no. 1, pp. 1–10, 2019.

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

Pedestrian Detection in Thermal Images Using Saliency Maps Workshop

Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2019, Computer Vision Foundation, 2019.

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Abhishek Sharma; Aritra Ghosh; Madalina Fiterau

Generative Sequential Stochastic Model for Marked Point Processes Workshop

International Conference on Machine Learning (ICML) Workshops 2019, ICML Time Series Workshop, 2019.

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Rheeya Uppaal; Bryon Kucharski; Bhanu Pratap; Iman Deznabi; Madalina Fiterau

Multi-resolution Attention with Signal Splitting for Multivariate Time Series Classification Workshop

International Conference on Machine Learning (ICML) Workshops 2019, ICML Time Series Workshop, 2019.

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

Personalized Student Stress Prediction with Deep Multitask Network Workshop

International Conference on Machine Learning (ICML) Workshops 2019, ICML Adaptive and Multitask Learning Workshop, 2019.

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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) Technical Report


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Ziqiang Guan; Ritesh Kumar; Yi Ren Fung; Yeahuay Wu; Madalina Fiterau

A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks Technical Report


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