| 2025 | ICASSP | Fair MP-BOOST: Fair and Interpretable Minipatch Boosting. | Camille Olivia Little, Genevera I. Allen |
| 2024 | FIE | Evaluating Individual Contributions in Teams for Project-Based Learning in Data Science. | Arko Barman, Su Chen, Genevera I. Allen |
| 2024 | ICASSP | Data Augmentation via Subgroup Mixup for Improving Fairness. | Madeline Navarro, Camille Olivia Little, Genevera I. Allen, Santiago Segarra |
| 2024 | ICASSP | Addressing Confounds in Functional Connectivity Analyses of Calcium Imaging. | Dingding Ye, Charan Santhirasegaran, Ryan Pai, Genevera I. Allen, Joseph Young |
| 2022 | FIE | Experiential Learning in Data Science Through a Novel Client-Facing Consulting Course. | Arko Barman, Su Chen, Andersen Chang, Genevera I. Allen |
| 2022 | ICASSP | Learning Gaussian Graphical Models with Differing Pairwise Sample Sizes. | Lili Zheng, Genevera I. Allen |
| 2021 | AIME | Detection of Junctional Ectopic Tachycardia by Central Venous Pressure. | Xin Tan, Yanwan Dai, Ahmed Imtiaz Humayun, Haoze Chen, Genevera I. Allen, Parag N. Jain |
| 2021 | SIGCSE | Experiential Learning in Data Science: Developing an Interdisciplinary, Client-Sponsored Capstone Program. | Genevera I. Allen |
| 2014 | AISTATS | Mixed Graphical Models via Exponential Families. | Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu |