Improving the study of brain-behavior relationships by revisiting basic assumptions C Westlin, JE Theriault, Y Katsumi, A Nieto-Castanon, A Kucyi, SF Ruf, ... Trends in cognitive sciences 27 (3), 246-257, 2023 | 51 | 2023 |
Label bias, label shift: Fair machine learning with unreliable labels J Dai, SM Brown NeurIPS 2020 Workshop on Consequential Decision Making in Dynamic …, 2020 | 14 | 2020 |
A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores. SM Brown, A Webb, R Mangoubi, JG Dy AAAI, 1700-1706, 2015 | 11 | 2015 |
Detecting Simpson’s Paradox C Xu, SM Brown, C Grant The Thirty-First International Flairs Conference, 2018 | 7 | 2018 |
Opportunities for a More Interdisciplinary Approach to Measuring Perceptions of Fairness in Machine Learning CM Boykin, ST Dasch, V Rice Jr, VR Lakshminarayanan, TA Togun, ... Equity and Access in Algorithms, Mechanisms, and Optimization, 1-9, 2021 | 6 | 2021 |
Everything is relative: Understanding fairness with optimal transport K Kwegyir-Aggrey, R Santorella, SM Brown arXiv preprint arXiv:2102.10349, 2021 | 4 | 2021 |
Communicating alternative grading schemes: How to shift students' attention to their learning from grades S Brown, V Chávez Proceedings of the 53rd ACM Technical Symposium on Computer Science …, 2022 | 3 | 2022 |
Opportunities for a more interdisciplinary approach to perceptions of fairness in machine learning ST Dasch, V Rice, VR Lakshminarayanan, TA Togun, CM Boykin, ... NeurIPS 2020 Workshop: ML Retrospectives, Surveys & Meta-Analyses (ML-RSA), 2020 | 2 | 2020 |
Participatory Live Coding and Learning-Centered Assessment in Programming for Data Science SM Brown Proceedings of the Second Teaching Machine Learning and Artificial …, 2022 | 1 | 2022 |
Information theoretic framework for evaluation of task level fairness S Rathore, SM Brown | 1 | 2022 |
Machine learning methods for computational psychology SM Brown Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence …, 2016 | 1* | 2016 |
Variety of Community Partnerships in Related Programs MH Sarah Brown 2013 ASEE Annual Conference & Exposition, 2013 | 1 | 2013 |
Technical Outreach Community Help: Initial Results SM Brown, LD Thomas American Society for Engineering Education, 2011 | 1 | 2011 |
Hybrid Tree Visualizations for Analysis of Gerrymandering C Xu, SM Brown, C Grant, C Weaver International Symposium on Visual Computing, 85-96, 2023 | | 2023 |
Machine learning analysis of peripheral physiology for emotion detection SM Brown Northeastern University, 2014 | | 2014 |
Measuring Bias with Wasserstein Distance K Kwegyir-Aggrey, SM Brown | | |
Finite Difference Time Domain Modeling in Dispersive Media S Brown, S Yeates, C Rappaport | | |
Modeling FDTD Wave Propagation in Dispersive Media S Brown, S Yeates, C Rappaport | | |