| An inference attack on genomic data using kinship, complex correlations, and phenotype information I Deznabi, M Mobayen, N Jafari, O Tastan, E Ayday IEEE/ACM transactions on computational biology and bioinformatics 15 (4 …, 2017 | 51 | 2017 |
| DeepKinZero: zero-shot learning for predicting kinase–phosphosite associations involving understudied kinases I Deznabi, B Arabaci, M Koyutürk, O Tastan Bioinformatics 36 (12), 3652-3661, 2020 | 38 | 2020 |
| Predicting in-hospital mortality by combining clinical notes with time-series data I Deznabi, M Iyyer, M Fiterau Findings of the association for computational linguistics: ACL-IJCNLP 2021 …, 2021 | 29 | 2021 |
| Impact of the COVID-19 Pandemic on the Academic Community Results from a survey conducted at University of Massachusetts Amherst I Deznabi, T Motahar, A Sarvghad, M Fiterau, N Mahyar Digital Government: Research and Practice 2 (2), 1-12, 2021 | 20 | 2021 |
| Population‐level inference for home‐range areas CH Fleming, I Deznabi, S Alavi, MC Crofoot, BT Hirsch, EP Medici, ... Methods in Ecology and Evolution 13 (5), 1027-1041, 2022 | 16 | 2022 |
| Personalized student stress prediction with deep multitask network A Shaw, N Simsiri, I Deznaby, M Fiterau, T Rahaman arXiv preprint arXiv:1906.11356, 2019 | 14 | 2019 |
| Multi-resolution networks for flexible irregular time series modeling (multi-fit) BP Singh, I Deznabi, B Narasimhan, B Kucharski, R Uppaal, A Josyula, ... arXiv preprint arXiv:1905.00125, 2019 | 6 | 2019 |
| MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction I Deznabi, M Fiterau Conference on Health, Inference, and Learning, 509-525, 2023 | 2 | 2023 |
| MEMNAR: Finding mutually exclusive mutation sets through negative association rule mining I Deznabi, AA Celik, O Tastan International Workshop on Machine Learning in Systems Biology, 2017 | 1 | 2017 |
| Dynamic clustering via branched deep learning enhances personalization of stress prediction from mobile sensor data Y Luo, I Deznabi, A Shaw, N Simsiri, T Rahman, M Fiterau Scientific Reports 14 (1), 6631, 2024 | | 2024 |
| Zero-shot Microclimate Prediction with Deep Learning I Deznabi, P Kumar, M Fiterau arXiv preprint arXiv:2401.02665, 2024 | | 2024 |
| DeepKinZero: Zero-Shot Learning for Predicting Kinase-Phosphosite Associations I Deznabi, B Arabaci, M Koyuturk, O Tastan | | |
| Multi-resolution Attention with Signal Splitting for Multivariate Time Series Classification R Uppaal, B Kucharski, BP Singh, I Deznabi, M Fiterau | | |
Madalina FiterauAssistant Professor, University of Massachusetts, Amherst在 cs.stanford.edu 的电子邮件经过验证
