| 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 | 116 | 2007 |
| 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 | 44 | 2013 |
| Exploration of complex visual feature spaces for object perception DD Leeds, JA Pyles, MJ Tarr Frontiers in computational neuroscience 8, 106, 2014 | 17 | 2014 |
| 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 | 13 | 2006 |
| A College Major Recommendation System SA Stein, G M. Weiss, Y Chen, DD Leeds Fourteenth ACM Conference on Recommender Systems, 640-644, 2020 | 12 | 2020 |
| 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 | 12 | 2010 |
| 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 | 10 | 2019 |
| Mining course groupings using academic performance DD Leeds, T Zhang, GM Weiss Proceedings of the 14th International Conference on Educational Data Mining, 2021 | 9 | 2021 |
| 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 | 8 | 2022 |
| 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 | 8 | 2021 |
| A method for real-time visual stimulus selection in the study of cortical object perception DD Leeds, MJ Tarr Neuroimage 133, 529-548, 2016 | 5 | 2016 |
| Searching for the visual components of object perception DD Leeds Ph. D. thesis, Carnegie Mellon University, 2013 | 4 | 2013 |
| 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 | 3 | 2022 |
| 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 | 3 | 2021 |
| 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 | 2 | 2021 |
| 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 | 1 | 2021 |
| Predicting the Academic Performance of Undergraduate Computer Science Students Using Data Mining F Khan, GM Weiss, DD Leeds Advances in Software Engineering, Education, and e-Learning, 303-317, 2021 | 1 | 2021 |
| Modeling mid-level visual representations through clustering in a convolutional neural network DD Leeds, S Hyde Cogn Comp Neuro, 2017 | 1 | 2017 |
| Single-kernel models of single-voxel visual selectivities in convolution neural networks. D Leeds, I Iotzov CogSci, 2016 | 1 | 2016 |
| Mixing hierarchical edge detection and medial axis models of object perception D Leeds, M Tarr Journal of Vision 15 (12), 1095-1095, 2015 | 1 | 2015 |
