| In pursuit of interpretable, fair and accurate machine learning for criminal recidivism prediction C Wang, B Han, B Patel, C Rudin Journal of Quantitative Criminology, 1-63, 2022 | 83 | 2022 |
| Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognition B Han, H Chen, Y Yao, X Liu, C Nie, J Min, Y Zeng, MW Lutz Scientific Reports 10 (1), 19140, 2020 | 14 | 2020 |
| Users’ perception of search-engine biases and satisfaction B Han, C Shah, D Saelid International Workshop on Algorithmic Bias in Search and Recommendation, 14-24, 2021 | 9 | 2021 |
| Prompt-based extraction of social determinants of health using few-shot learning GK Ramachandran, Y Fu, B Han, K Lybarger, NJ Dobbins, Ö Uzuner, ... arXiv preprint arXiv:2306.07170, 2023 | 5 | 2023 |
| Integrative urban AI to expand coverage, access, and equity of urban data B Howe, JM Brown, B Han, B Herman, N Weber, A Yan, S Yang, Y Yang The European Physical Journal Special Topics 231 (9), 1741-1752, 2022 | 5 | 2022 |
| KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation W Xu, X Jiang, J Desai, B Han, F Yan, F Iannacci arXiv preprint arXiv:2307.01878, 2023 | 2 | 2023 |
| Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking B Han, B Howe arXiv preprint arXiv:2301.04233, 2023 | 2 | 2023 |
| Socioeconomic influence on emergency medical services utilization for acute stroke: think nationally, act locally ME Ehrlich, B Han, M Lutz, MG Ghorveh, YA Okeefe, S Shah, BJ Kolls, ... The Neurohospitalist 11 (4), 317-325, 2021 | 2 | 2021 |
| LeafAI: query generator for clinical cohort discovery rivaling a human programmer NJ Dobbins, B Han, W Zhou, KF Lan, HN Kim, R Harrington, Ö Uzuner, ... Journal of the American Medical Informatics Association 30 (12), 1954-1964, 2023 | 1 | 2023 |
| Huskyscribe at mediqa-sum 2023: Summarizing clinical dialogues with transformers B Han, H Zhu, S Zhou, S Ahmed, M Rahman, F Xia, K Lybarger CLEF, 2023 | 1 | 2023 |
| Geospatial Imputation of Urban Mobility Data with Self-Supervised Learning B Han, B Howe | | 2024 |
| Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology L Rosenblatt, B Han, E Posthumus, T Crimmins, B Howe arXiv preprint arXiv:2310.00740, 2023 | | 2023 |
| Urban Spatiotemporal Data Synthesis via Neural Disaggregation B Han, B Howe arXiv preprint arXiv:2306.07292, 2023 | | 2023 |
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
