Context-aware experience sampling reveals the scale of variation in affective experience K Hoemann, Z Khan, MJ Feldman, C Nielson, M Devlin, J Dy, LF Barrett, ... Scientific reports 10 (1), 12459, 2020 | 106 | 2020 |
Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience B Azari, C Westlin, AB Satpute, JB Hutchinson, PA Kragel, K Hoemann, ... Scientific reports 10 (1), 20284, 2020 | 67 | 2020 |
Physiological indices of challenge and threat: A datadriven investigation of autonomic nervous system reactivity during an active coping stressor task JB Wormwood, Z Khan, E Siegel, SK Lynn, J Dy, LF Barrett, KS Quigley Psychophysiology, 2019 | 42 | 2019 |
Nature of emotion categories: comment on Cowen and Keltner LF Barrett, Z Khan, J Dy, D Brooks Trends in cognitive sciences 22 (2), 97-99, 2018 | 41 | 2018 |
Investigating the relationship between emotional granularity and cardiorespiratory physiological activity in daily life K Hoemann, Z Khan, N Kamona, J Dy, LF Barrett, K Quigley Psychophysiology, 2021 | 31 | 2021 |
Deep Kernel Learning for Clustering C Wu, Z Khan, Y Chang, S Ioannidis, J Dy arXiv preprint arXiv:1908.03515, 2019 | 17 | 2019 |
A computational neural model for mapping degenerate neural architectures Z Khan, Y Wang, E Sennesh, J Dy, S Ostadabbas, JW van de Meent, ... Neuroinformatics 20 (4), 965-979, 2022 | 8 | 2022 |
Neural topographic factor analysis for fmri data E Sennesh, Z Khan, Y Wang, JB Hutchinson, A Satpute, J Dy, ... Advances in Neural Information Processing Systems 33, 12046-12056, 2020 | 7 | 2020 |
Deep Markov Spatio-Temporal Factorization A Farnoosh, B Rezaei, EZ Sennesh, Z Khan, J Dy, A Satpute, ... arXiv preprint arXiv:2003.09779, 2020 | 5 | 2020 |
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions ZQ Khan, D Hill, A Masoomi, JT Bone, J Dy International Conference on Artificial Intelligence and Statistics, 1378-1386, 2024 | 4* | 2024 |
Interpretable Machine Learning for Affective Psychophysiology and Neuroscience Z Khan Northeastern University, 2022 | | 2022 |
Author Correction: Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience B Azari, C Westlin, AB Satpute, JB Hutchinson, PA Kragel, K Hoemann, ... Scientific Reports 11 (1), 10241, 2021 | | 2021 |
Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience (vol 10, 20284, 2020) B Azari, C Westlin, AB Satpute, JB Hutchinson, PA Kragel, K Hoemann, ... Scientific Reports 11 (1), 2021 | | 2021 |
Context-aware experience sampling reveals the scale of variation in affective experience (vol 10, 12459, 2020) K Hoemann, Z Khan, MJ Feldman, C Nielson, M Devlin, J Dy, LF Barrett, ... Scientific Reports 11 (1), 2021 | | 2021 |
USING CONTEXT-AWARE EXPERIENCE SAMPLING TO EXAMINE INDIVIDUAL DIFFERENCES IN AFFECTIVE REACTIVITY AND COGNITIVE PERFORMANCE J Wormwood, Z Khan, K Hoemann, C Nielson, M Devlin, M Feldman, J Dy, ... PSYCHOPHYSIOLOGY 56, S23-S23, 2019 | | 2019 |
Weighted Finite Automatas using Spectral Methods for Computer Vision ZQ Khan Northeastern University, 2016 | | 2016 |
Emotional Experiences Interact with Monetary Reward Values to Predict Variation in Discounting Rate throughout Daily Life M Coleman, M Feldman, C Nielson, K Hoemann, Z Khan, M Devlin, J Dy, ... APS Virtual Poster Showcase, 0 | | |
Distress Decreases Perceived Future Value of Small Rewards M Coleman, L Cory, C Nielson, M Feldman, K Hoemann, Z Khan, ... | | |