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Zulqarnain Khan
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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
772020
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
602020
Physiological indices of challenge and threat: A data‐driven 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
402019
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
362018
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
272021
Deep Kernel Learning for Clustering
C Wu, Z Khan, Y Chang, S Ioannidis, J Dy
arXiv preprint arXiv:1908.03515, 2019
142019
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
82022
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
72020
Deep Markov Spatio-Temporal Factorization
A Farnoosh, B Rezaei, EZ Sennesh, Z Khan, J Dy, A Satpute, ...
arXiv preprint arXiv:2003.09779, 2020
52020
Analyzing the Effects of Classifier Lipschitzness on Explainers
Z Khan, A Masoomi, D Hill, J Dy
arXiv preprint arXiv:2206.12481, 2022
22022
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, ...
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