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Multimodal deep learning systems for analysis of human behavior, preference, and state. Columbia University, USA, (2023)AutoML using Metadata Language Embeddings., , , , , , , and . CoRR, (2019)Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning., , , , , and . ETRA Adjunct, page 32:1-32:3. ACM, (2020)Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data., , , and . CoRR, (2021)Multimodal Neurophysiological Transformer for Emotion Recognition., , , and . EMBC, page 3563-3567. IEEE, (2022)Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers., , , , , , , and . CoRR, (2023)Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images., , , and . IEEE Trans. Biomed. Eng., 68 (8): 2456-2466 (2021)Editing Like Humans: A Contextual, Multimodal Framework for Automated Video Editing., , , and . CVPR Workshops, page 1701-1709. Computer Vision Foundation / IEEE, (2021)Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images., , , and . (May 2022)Neurophysiological Predictors of Self-Reported Difficulty in a Virtual-Reality Driving Scenario., , and . EMBC, page 1-4. IEEE, (2023)