Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech von Balagopalan, Aparna, Eyre, Benjamin, Robin, Jessica, Rudzicz, Frank, Novikova, Jekaterina

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Mitigating the impact of biased artificial intelligence in emergency decision-making von Adam, Hammaad, Balagopalan, Aparna, Alsentzer, Emily, Christia, Fotini, Ghassemi, Marzyeh

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Exploring the Use of Natural Language Processing for Objective Assessment of Disorganized Speech in Schizophrenia von Jeong, Lydia, Lee, Melissa, Eyre, Ben, Balagopalan, Aparna, Rudzicz, Frank, Gabilondo, Cedric

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Automated detection of progressive speech changes in early Alzheimer's disease von Robin, Jessica, Xu, Mengdan, Balagopalan, Aparna, Novikova, Jekaterina, Kahn, Laura, Oday, Abdi, Hejrati, Mohsen, Hashemifar, Somaye, Negahdar, Mohammadreza, Simpson, William, Teng, Edmond

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Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact von Balagopalan, Aparna, Baldini, Ioana, Celi, Leo Anthony, Gichoya, Judy, McCoy, Liam G, Naumann, Tristan, Shalit, Uri, van der Schaar, Mihaela, Wagstaff, Kiri L

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S44. Using Acoustic and Linguistic Markers From Spontaneous Speech to Predict Scores on the Montreal Cognitive Assessment (MoCA) von Balagopalan, Aparna, Yancheva, Maria, Novikova, Jekaterina, Simpson, William

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Characterizing progressive speech changes in prodromal‐to‐mild Alzheimer’s disease using natural language processing von Robin, Jessica, Xu, Mengdan, Balagopalan, Aparna, Novikova, Jekaterina, Kahn, Laura, Oday, Abdi, Hejrati, Mohsen, Hashemifar, Somaye, Negahdar, Mohammadreza, Simpson, Bill, Teng, Edmond

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Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data von Balagopalan, Aparna, Madras, David, Yang, David H, Hadfield-Menell, Dylan, Hadfield, Gillian K, Ghassemi, Marzyeh

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Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact von Aparna Balagopalan, Ioana Baldini, Leo Anthony Celi, Judy Gichoya, Liam G McCoy, Tristan Naumann, Uri Shalit, Mihaela van der Schaar, Kiri L Wagstaff

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Visualizations of Deep Neural Networks in Computer Vision: A Survey von Seifert, Christin, Aamir, Aisha, Balagopalan, Aparna, Jain, Dhruv, Sharma, Abhinav, Grottel, Sebastian, Gumhold, Stefan

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Comparing Acoustic-based Approaches for Alzheimer's Disease Detection von Balagopalan, Aparna, Novikova, Jekaterina

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Augmenting BERT Carefully with Underrepresented Linguistic Features von Balagopalan, Aparna, Novikova, Jekaterina

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The Role of Relevance in Fair Ranking von Balagopalan, Aparna, Jacobs, Abigail Z, Biega, Asia

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Comparing Acoustic-based Approaches for Alzheimer's Disease Detection von Balagopalan, Aparna, Novikova, Jekaterina

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LEMoN: Label Error Detection using Multimodal Neighbors von Zhang, Haoran, Balagopalan, Aparna, Oufattole, Nassim, Jeong, Hyewon, Wu, Yan, Zhu, Jiacheng, Ghassemi, Marzyeh

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Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach von Eyre, Benjamin, Balagopalan, Aparna, Novikova, Jekaterina

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Event-Based Contrastive Learning for Medical Time Series von Jeong, Hyewon, Oufattole, Nassim, Mcdermott, Matthew, Balagopalan, Aparna, Jangeesingh, Bryan, Ghassemi, Marzyeh, Stultz, Collin

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Quantifying the Task-Specific Information in Text-Based Classifications von Zhu, Zining, Balagopalan, Aparna, Ghassemi, Marzyeh, Rudzicz, Frank

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Augmenting BERT Carefully with Underrepresented Linguistic Features von Balagopalan, Aparna, Novikova, Jekaterina

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SYSTEM AND METHOD FOR CROSS-LANGUAGE SPEECH IMPAIRMENT DETECTION von BALAGOPALAN, Aparna, GHASSEMI, Marzyeh, NOVIKOVA, Jekaterina

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