| Multimodal inductive transfer learning for detection of Alzheimer's dementia and its severity U Sarawgi, W Zulfikar, N Soliman, P Maes INTERSPEECH, 2212-2216, 2020 | 82 | 2020 |
| AttentivU: A wearable pair of EEG and EOG glasses for real-time physiological processing N Kosmyna, C Morris, U Sarawgi, T Nguyen, P Maes 2019 IEEE 16th International Conference on Wearable and Implantable Body …, 2019 | 38 | 2019 |
| AttentivU: Evaluating the feasibility of biofeedback glasses to monitor and improve attention N Kosmyna, U Sarawgi, P Maes Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 31 | 2018 |
| Non-invasive silent speech recognition in multiple sclerosis with dysphonia A Kapur, U Sarawgi, E Wadkins, M Wu, N Hollenstein, P Maes NeurIPS Machine Learning for Health, 25-38, 2020 | 29 | 2020 |
| Attentivu: a biofeedback system for real-time monitoring and improvement of engagement N Kosmyna, C Morris, U Sarawgi, P Maes Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019 | 20 | 2019 |
| Uncertainty-aware boosted ensembling in multi-modal settings U Sarawgi, R Khincha, W Zulfikar, S Ghosh, P Maes 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 13 | 2021 |
| Pal: A wearable platform for real-time, personalized and context-aware health and cognition support M Khan, G Fernandes, U Sarawgi, P Rampey, P Maes arXiv preprint arXiv:1905.01352, 2019 | 12 | 2019 |
| Why have a unified predictive uncertainty? disentangling it using deep split ensembles U Sarawgi, W Zulfikar, R Khincha, P Maes arXiv preprint arXiv:2009.12406, 2020 | 9 | 2020 |
| Efficient Multimodal Neural Networks for Trigger-less Voice Assistants SS Buddi, UO Sarawgi, T Heeramun, K Sawnhey, E Yanosik, S Rathinam, ... INTERSPEECH, 2648--2652, 2023 | 5 | 2023 |
| Uncertainty-Aware Ensembling in Multi-Modal AI and its Applications in Digital Health for Neurodegenerative Disorders U Sarawgi Massachusetts Institute of Technology, 2021 | 5 | 2021 |
| Robustness to missing features using hierarchical clustering with split neural networks R Khincha, U Sarawgi, W Zulfikar, P Maes arXiv preprint arXiv:2011.09596, 2020 | 4 | 2020 |
| Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia U Sarawgi, W Zulfikar, R Khincha, P Maes NeurIPS Machine Learning for Health, 2020 | 4 | 2020 |
| Analyzing Speech Motor Movement using Surface Electromyography in Minimally Verbal Adults with Autism Spectrum Disorder W Zulfikar, N Protyasha, C Canales, H Patel, J Williamson, L Sarnie, ... arXiv preprint arXiv:2407.08877, 2024 | 1 | 2024 |
| Streaming Anchor Loss: Augmenting Supervision with Temporal Significance UO Sarawgi, J Berkowitz, V Garg, A Kundu, M Cho, SS Buddi, S Adya, ... IEEE International Conference on Acoustics, Speech and Signal Processing …, 2024 | 1 | 2024 |
| Streaming Anchor Loss: Augmenting Supervision with Temporal Significance UO Sarawgi, J Berkowitz, V Garg, A Kundu, M Cho, SS Buddi, S Adya, ... arXiv preprint arXiv:2310.05886, 2023 | 1 | 2023 |
| Robustness to missing features using hierarchical clustering with split neural networks (student abstract) R Khincha, U Sarawgi, W Zulfikar, P Maes Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15817 …, 2021 | 1 | 2021 |
| Comparative Analysis of Personalized Voice Activity Detection Systems: Assessing Real-World Effectiveness S Kumar, SS Buddi, UO Sarawgi, V Garg, S Ranjan, AH Abdelaziz, ... arXiv preprint arXiv:2406.09443, 2024 | | 2024 |
| Streaming Anchor Loss: Augmenting Supervision with Temporal Significance U Oggy Sarawgi, J Berkowitz, V Garg, A Kundu, M Cho, S Srujana Buddi, ... arXiv e-prints, arXiv: 2310.05886, 2023 | | 2023 |
| Efficient Multimodal Neural Networks for Trigger-less Voice Assistants S Srujana Buddi, U Oggy Sarawgi, T Heeramun, K Sawnhey, E Yanosik, ... arXiv e-prints, arXiv: 2305.12063, 2023 | | 2023 |
| I Have Something to Say, But I Can’t Tell You. C Micheli, U Sarawgi, L Steuber, A Forsland Mind, 41-45, 2020 | | 2020 |
Pattie MaesProfessor of Media Arts and Sciences, MITEmail verificata su media.mit.edu
