| Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity U Sarawgi, W Zulfikar, N Soliman, P Maes Proceedings of Interspeech 2020, 2212--2216, 2020 | 105 | 2020 |
| Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory Augmentation W Zulfikar, S Chan, P Maes Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI …, 2024 | 48 | 2024 |
| Conversational AI powered by large language models amplifies false memories in witness interviews S Chan, P Pataranutaporn, A Suri, W Zulfikar, P Maes, EF Loftus arXiv preprint arXiv:2408.04681, 2024 | 17 | 2024 |
| Empathicstories++: A multimodal dataset for empathy towards personal experiences J Shen, Y Kim, M Hulse, W Zulfikar, S Alghowinem, C Breazeal, H Park Findings of the Association for Computational Linguistics: ACL 2024, 4525-4536, 2024 | 16 | 2024 |
| Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings U Sarawgi, R Khincha, W Zulfikar, S Ghosh, P Maes International Joint Conference on Neural Networks 2021, 2021 | 15 | 2021 |
| MemPal: Leveraging multimodal AI and LLMs for voice-activated object retrieval in homes of older adults N Maniar, SWT Chan, W Zulfikar, S Ren, C Xu, P Maes Proceedings of the 30th International Conference on Intelligent User …, 2025 | 9 | 2025 |
| 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 |
| Co-designing generative AI technologies with older adults to support daily tasks S Chan, R Liu, AK Ostrowski, M Vaidya, S Brady, L Yoquinto, ... MIT, 2024 | 8 | 2024 |
| neuronets/nobrainer: 0.2. 0 J Kaczmarzyk, P McClure, W Zulfikar, A Rana, H Rajaei, A Richie-Halford, ... Zenodo, 2022 | 7 | 2022 |
| Resonance: Drawing from Memories to Imagine Positive Futures through AI-Augmented Journaling W Zulfikar, T Chiaravalloti, J Shen, R Picard, P Maes Augmented Humans 2025, 2025 | 5 | 2025 |
| High-sensitivity detection of facial features on MRI brain scans with a convolutional network S Bansal, A Kori, W Zulfikar, J Wexler, CJ Markiewicz, FF Feingold, ... BioRxiv, 2021.04. 25.441373, 2021 | 5 | 2021 |
| Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia U Sarawgi, W Zulfikar, R Khincha, P Maes NeurIPS ML4H 2020 Extended Abstract, 2020 | 5 | 2020 |
| Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks R Khincha, U Sarawgi, W Zulfikar, P Maes Proceedings of the AAAI Conference on Artificial Intelligence 35, 2020 | 4 | 2020 |
| MeMic: Towards social acceptability of user-only speech recording wearables WD Zulfikar, C Pierce, P Maes Extended Abstracts of the CHI Conference on Human Factors in Computing …, 2024 | 3 | 2024 |
| 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 | 2 | 2024 |
| 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 | 2 | 2021 |
| Towards task understanding in visual settings S Santy, W Zulfikar, R Mehrotra, E Yilmaz Proceedings of the AAAI conference on artificial intelligence 33 (01), 10027 …, 2019 | 1 | 2019 |
| Memory Assistant System W ZULFIKAR, WTS CHAN, P Maes US Patent App. 19/204,840, 2025 | | 2025 |
| The Goldilocks Time Window for Proactive Interventions in Wearable AI Systems CM Fang, W Zulfikar, Y Samaradivakara, S Nanayakkara, P Maes arXiv preprint arXiv:2504.09332, 2025 | | 2025 |
| The Goldilocks Time Window for Proactive Interventions in Wearable AI Systems C Mengying Fang, W Zulfikar, Y Samaradivakara, S Nanayakkara, ... arXiv e-prints, arXiv: 2504.09332, 2025 | | 2025 |
Pattie MaesProfessor of Media Arts and Sciences, MITVerified email at media.mit.edu
