Katabi, Dina
Massachusetts Institute of Technology
12 papers on CoChatORCID 0000-0003-4854-4157
Most cited papers
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Smart Homes that Monitor Breathing and Heart Rate
Adib, F., Mao, H., Kabelac, Z., Katabi, D., & Miller, R. C. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
Non-Invasive Vital Sign MonitoringWireless Body Area Networks
Cited by 916
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Emotion recognition using wireless signals
Zhao, M., Adib, F., & Katabi, D. (2016) · Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking
Emotion and Mood RecognitionNon-Invasive Vital Sign Monitoring
Cited by 461
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Capturing the human figure through a wall
Adib, F., Hsu, C.-Y., Mao, H., Katabi, D., & Durand, F. (2015) · ACM Transactions on Graphics
Indoor and Outdoor Localization TechnologiesHand Gesture Recognition Systems
Cited by 443
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Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals
Yang, Y., Yuan, Y., Zhang, G., Wang, H., Chen, Y.-C., Liu, Y., Tarolli, C. G., Crepeau, D., Bukartyk, J., Junna, M. R., et al. (2022) · Nature Medicine
Non-Invasive Vital Sign MonitoringParkinson's Disease Mechanisms and Treatments
Cited by 296
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The limits of fair medical imaging AI in real-world generalization
Yang, Y., Zhang, H., Gichoya, J. W., Katabi, D., & Ghassemi, M. (2024) · Nature Medicine
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 285
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Delving into deep imbalanced regression
Yang, Y., Zha, K., Chen, Y.-C., Wang, H., & Katabi, D. (2021) · arXiv
Imbalanced Data Classification TechniquesMachine Learning and Data Classification
Cited by 229
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Over-the-air Function Computation in Sensor Networks
Abari, O., Rahul, H., & Katabi, D. (2016) · arXiv
Distributed Sensor Networks and Detection AlgorithmsEnergy Efficient Wireless Sensor Networks
Cited by 114
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BodyCompass: Monitoring Sleep Posture with Wireless Signals
Yue, S., Yang, Y., Wang, H., Rahul, H., & Katabi, D. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Non-Invasive Vital Sign MonitoringContext-Aware Activity Recognition Systems
Cited by 112
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Zero-Effort In-Home Sleep and Insomnia Monitoring using Radio Signals
Hsu, C.-Y., Ahuja, A., Yue, S., Hristov, R., Kabelac, Z., & Katabi, D. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Non-Invasive Vital Sign MonitoringContext-Aware Activity Recognition Systems
Cited by 97
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Improving CLIP Training with Language Rewrites
Fan, L., Krishnan, D., Isola, P., Katabi, D., & Tian, Y. (2023) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 74
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Scaling Laws of Synthetic Images for Model Training … for Now
Fan, L., Chen, K., Krishnan, D., Katabi, D., Isola, P., & Tian, Y. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning
Cited by 46
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Accelerating Parkinson’s Disease drug development with federated learning approaches
Khanna, A., Adams, J., Antoniades, C., Bloem, B. R., Carroll, C., Cedarbaum, J., Cosman, J., Dexter, D. T., Dockendorf, M. F., Edgerton, J., et al. (2024) · npj Parkinson's Disease
Privacy-Preserving Technologies in DataParkinson's Disease Mechanisms and Treatments
Cited by 21
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