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Daniel Leeds – Publications


See also Google Scholar and (less complete) DBLP pages

Journals

JK Register-Mihalik, DD Leeds, ... T Ahmed, Y Hagiwara, ... JD Schmidt, " Optimizing Concussion Care Seeking: Identification of Institutional and Individual Factors Predicting Previous Concussion Diagnosis Status," Medicine & Science in Sport & Exercise, In press.

EM Aminoff, S Baror, EW Roginek, DD Leeds, "Contextual associations represented both in neural networks and human behavior," Scientific Reports, April 2022. [html]

DD Leeds, Y Zeng, BR Johnson, CA Foster, C D'Lauro, "Beliefs affecting concussion reporting among military cadets: advanced observations through machine learning," Brain Injury, February 2022 [html]

DD Leeds, A Nguyen, C D'Lauro, J Jackson, and B Johnson, "Prolonged concussion effects: constellations of cognitive deficits detected up to year after injury," Journal of Concussion, May 2021. [html]

I Bedzow and DD Leeds. "Artificial intelligence (AI) and halakhic responsibility for physicians to consult data" in Studies in Judaism, Humanities, and Social Sciences. Academic Studies Press, 2020. html

DD Leeds, C D'Lauro, and B Johnson, "Predictive power of head impact intensity measures for recognition memory performance," Military Medicine, Supplement-1 Mar-Apr 2019 [html].

DD Leeds and MJ Tarr, "A method for real-time stimulus selection in the study of cortical object perception," NeuroImage, March 2016. [html]

DD Leeds, JA Pyles, and MJ Tarr, "Exploration of complex visual feature spaces for object perception," Frontiers in Computational Neuroscience, 8(106), August 2014. [abstract]

DD Leeds, DA Seibert, JA Pyles, and MJ Tarr, "Comparing visual representations across human fMRI and computational vision," Journal of Vision, 13(13), November 2013. [html]

Z Syed, D Leeds, D Curtis, F Nesta, R A Levine, and J Guttag, "A framework for the analysis of acoustical cardiac signals," IEEE Transactions on Biomedical Engineering, 54(4), April 2007. [link]

Conferences

DD Leeds, C Chen, Y Zhao, F Metla, J Guest, and GM Weiss, "Generalized Sequential Pattern Mining of Undergraduate Courses," Educational Data Mining, July 2022.

GM Weiss, E Brown, M Riad-Zaky, R Iannone, and DD Leeds, "Assessing Instructor Effectiveness Based on Future Student Performance," Educational Data Mining, July 2022.

GM Weiss, J Denham, and DD Leeds, "The Impact of Semester Gaps on Student Grades," Educational Data Mining, July 2022.

EM Aminoff, S Baror, E Roginek, and DD Leeds, "Inherent representations of contextual associations in neural networks and human behavior," Vision Sciences Society, May 2022.

L Reno, C Habeck, Y Stern, and D Leeds, "Identifying local cognitive representations in the brain across age spans through voxel searchlights and representational similarity analysis,," Cognitive Sciences Society, July 2021.

GM Weiss, N Nguyen, K Dominguez, and DD Leeds, "Identifying hubs in undergraduate course networks based on scale co-enrollments," Educational Data Mining, June-July 2021.

T Gutenbrunner, DD Leeds, S Ross, M Riad-Zaky, and G Weiss, "Measuring the academic impact of course sequencing using student grade data," Educational Data Mining, June-July 2021.

DD Leeds, M Zhang, and G Weiss, "Mining course groupings from student performance," Educational Data Mining, June-July 2021.

E Roginek, S Baror, DD Leeds, and EM Aminoff, "Representing contextual associations in convolutional neural networks," Vision Sciences Society, May 2021.

SA Stein, GM Weiss, Y Chen, and DD Leeds, "A college major recommendation system," ACM Recommender Systems, September 2020. [paper]

A Nguyen, D Leeds, C D'Lauro, and BR Johnson, "Current neurocognitive performance predicts prior concussion history," Military Health Systems Research Symposium, August 2020.

F Khan, GM Weiss, and DD Leeds, "Predicting the Academic Performance of Undergraduate Computer Science Students Using Data Mining," Intl Conf Front Edu, Comp Sci, Comp Eng, July 2020.

W Charles, DD Leeds, and R Agarwal, "Modeling effects of blurred vision on category learning," Vision Sciences Society, June 2020. [poster]

BR Johnson, DD Leeds, W Song, and C D'Lauro, "Effects of fatigue and sleep on neurocognitive performance and concussion symptom reporting," Neurotrauma, June 2019.

DD Leeds and A Feng, "Modeling voxel visual selectivities through convolutional neural network clustering," Vision Sciences Society, May 2019. [poster]

DD Leeds and D Shutov, "Potential cortical and computational biases in representational similarity analysis," Cognitive Computational Neuroscience, September 2018. poster paper

S Cavanagh and DD Leeds, "Computational study of changes to cortical vision with age," Vision Sciences Society, May 2018. [poster]

DD Leeds, BR Johnson, D DeFontes, and C D'Lauro, "The effect of sub-concussive impacts on post-exercise memory performance," Society for Neuroscience, November 2017.

DD Leeds and S Hyde, "Modeling mid-level visual representations through clustering in a convolutional neural network," Cognitive Computational Neuroscience, September 2017. poster paper

DD Leeds, C DLauro, D DeFontes, B Johnson, "Predictive power of head impact intensity measures for short-term memory loss," Military Health Systems Research Symposim, August 2017.

F Tang, D Lyons, D Leeds, "Landmark detection with surprise saliency using convolutional neural networks," IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, September 2016.

Leeds and Iotzov, Single-kernel models of single-voxel visual selectivities in convolutional neural networks. Cognitive Sciences Society, August 2016. [poster]

DD Leeds and D Shutov, "Semantic object grouping in the visual cortex seen through MVPA," Vision Sciences Society, May 2016. [poster]

DD Leeds and MJ Tarr, "Mixing hierarchical edge detection and medial axis models of object perception," Vision Sciences Society, May 2015. [poster]

DD Leeds, JA Pyles and MJ Tarr, "Real-time fMRI search for the visual components of object perception," Vision Sciences Society, May 2014. [poster]

DD Leeds, JA Pyles and MJ Tarr, "Evidence towards surround suppression in perception of complex visual properties," Cosyne (Computational and Systems Neuroscience), February–March 2014. [poster]

DD Leeds, DA Seibert, JA Pyles and MJ Tarr, "Uncovering the visual components of cortical object representation," Statistical Analysis of Neural Data, May 2012.

DA Seibert, DD Leeds, JA Pyles and MJ Tarr, "Exploring computational models of visual object perception," Vision Sciences Society, May 2012. poster

DD Leeds, DA Seibert, JA Pyles and MJ Tarr, "Unraveling the visual and semantic components of object representation," Vision Sciences Society, May 2011. [poster, appendix]

A Nestor, DD Leeds, JM Vettel and MJ Tarr, "Neurally-derived representations for face detection," Statistical Analysis of Neural Data, May 2010. [poster]

Z Syed, D Leeds, D Curtis, J Guttag, "Audio-visual tools for computer-assisted diagnosis of cardiac disorders," Computer Based Medical Systems 2006, June 2006. [link]

Presentations

DD Leeds, "Exploring visual feature spaces for cortical object perception," Interdisciplinary Faculty Seminar in Bioinformatics and Big Data, Fordham University, January 2014.
DD Leeds and MJ Tarr, "Searching for the visual components of cortical object representation," Temporal Dynamics of Learning Center All Hands Meeting, January 2011. [video]

Reports

Searching for the visual components of object perception (Ph.D. Thesis 2013) [pdf]

M Dogar, V Hemrajani, D Leeds, B Kane, and S Srinivasa, "Proprioceptive localization for mobile manipulators." Pittsburgh, PA: CMU; 2010. CMU-RI-TR-10-05. [pdf]

Assisted Auscultation: Creation and Visualization of High Dimensional Feature Spaces for the Detection of Mitral Regurgitation (M.Eng. Thesis 2006) [pdf]

Independent Manifolds in the Zebra Finch Song: A Strategy for Robust Social Interaction (Intel Science Talent Search submission 2000/2001) [pdf]

Public data set

D Leeds, D Shutov, and J Pyles, "Local multi-voxel cortical representations of object semantics." fMRI and Mechanical Turk Data. KiltHub. [link]