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Daniel D Leeds
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A framework for the analysis of acoustical cardiac signals
Z Syed, D Leeds, D Curtis, F Nesta, RA Levine, J Guttag
IEEE Transactions on Biomedical Engineering 54 (4), 651-662, 2007
1132007
Comparing visual representations across human fMRI and computational vision
DD Leeds, DA Seibert, JA Pyles, MJ Tarr
Journal of vision 13 (13), 25-25, 2013
422013
Exploration of complex visual feature spaces for object perception
DD Leeds, JA Pyles, MJ Tarr
Frontiers in computational neuroscience 8, 106, 2014
182014
Audio-visual tools for computer-assisted diagnosis of cardiac disorders
RA Levine, F Nesta, J Guttag, D Curtis, D Leeds, Z Syed
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 207-212, 2006
132006
A College Major Recommendation System
SA Stein, G M. Weiss, Y Chen, DD Leeds
Fourteenth ACM Conference on Recommender Systems, 640-644, 2020
122020
Proprioceptive localization for mobile manipulators
MR Dogar, V Hemrajani, D Leeds, B Kane, S Srinivasa
Robotics Institute, Carnegie Mellon University, Tech. Rep. CMU-RI-TR-10-05, 2010
122010
Predictive power of head impact intensity measures for recognition memory performance
DD Leeds, C D’Lauro, BR Johnson
Military medicine 184 (Supplement_1), 206-217, 2019
102019
Measuring the academic impact of course sequencing using student grade data
T Gutenbrunner, DD Leeds, S Ross, M Riad-Zaky, GM Weiss
Computer Science 850 (253), 14, 2021
82021
Mining course groupings using academic performance
DD Leeds, T Zhang, GM Weiss
Proceedings of the 14th International Conference on Educational Data Mining, 2021
72021
A method for real-time visual stimulus selection in the study of cortical object perception
DD Leeds, MJ Tarr
Neuroimage 133, 529-548, 2016
62016
Contextual associations represented both in neural networks and human behavior
EM Aminoff, S Baror, EW Roginek, DD Leeds
Scientific Reports 12 (1), 1-12, 2022
52022
Searching for the visual components of object perception
DD Leeds
Ph. D. thesis, Carnegie Mellon University, 2013
42013
Beliefs affecting concussion reporting among military cadets: advanced observations through machine learning
DD Leeds, Y Zeng, BR Johnson, CA Foster, C D’Lauro
Brain injury, 1-10, 2022
32022
Identifying hubs in undergraduate course networks based on scaled co-enrollments
GM Weiss, N Nguyen, K Dominguez, DD Leeds
Proceedings of the 14th International Conference on Educational Data Mining, 2021
32021
Prolonged concussion effects: Constellations of cognitive deficits detected up to year after injury
DD Leeds, A Nguyen, C D’Lauro, JC Jackson, BR Johnson
Journal of Concussion 5, 20597002211006585, 2021
22021
Exploring computational models of visual object perception
DA Seibert, DD Leeds, JA Pyles, MJ Tarr
Simulation 2, P1, 2012
22012
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version
GM Weiss, N Nguyen, K Dominguez, DD Leeds
arXiv preprint arXiv:2104.14500, 2021
12021
Modeling mid-level visual representations through clustering in a convolutional neural network
DD Leeds, S Hyde
Cogn Comp Neuro, 2017
12017
Single-kernel models of single-voxel visual selectivities in convolution neural networks.
D Leeds, I Iotzov
CogSci, 2016
12016
Mixing hierarchical edge detection and medial axis models of object perception
D Leeds, M Tarr
Journal of Vision 15 (12), 1095-1095, 2015
12015
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Articles 1–20