What We Do
Combining data, knowledge and experiences for better outcomes in translational sciences, biomedicine, military problems and STEM
Image by Sage Scott from Pixabay
Scholars at the TeX-Base Lab of Drexel’s College of Computing & Informatics work on use-inspired research combining data, knowledge and experiences for better outcomes in such diverse areas as translational sciences, biomedicine, military problems and STEM.
Research Faculty & PhD Students
- Rosina Weber, PhD, professor, lab director
- Edward Kim, PhD, professor
- Prateek Goel, PhD candidate
- Mallika Mainali, PhD student
- Anik Sen, PhD student
- Ximing Wen, PhD student
- Christopher Rauch, PhD student
Recent Graduates
- Adam Johs, PhD
- Andrew O’Brien, PhD
View a complete list of researchers on the TeX-Base Lab’s website.
Recent Publications
- Weber, R. O., Johs, A. J., Goel, P., & Marques, Joao. (In press). “XAI is in Trouble.” AI Magazine.
- Molineaux, R.O. Weber, M.W. Floyd, D. Menager, O. Larue, U. Addison, R. Kulhanek, N. Reifsnyder, C. Rauch, M. Mainali, A. Sen, P. Goel, J. Karneeb, J.T. Turner and J. Meyer. (In press). “Aligning to Human Decision-Makers in Military Medical Triage.” In Bridge et al. (Eds.): ICCBR 2024, LNCS. Springer.
- Sen, M. Mainali, C. Rauch, U. Addison, M. Floyd, P. Goel, J. Karneeb, R. Kulhanek, O. Larue, D. Menager, M. Molineaux, J.T. Turner and R.O. Weber. (In press). “Counterfactual-Based Synthetic Case Generation.” In Bridge et al. (Eds.): ICCBR 2024, LNCS. Springer.
- Mainali, Mallika & Weber, Rosina. (2023). “What's Meant by Explainable Model: A Scoping Review.” IJCAI 2023 Workshop on Explainable Artificial Intelligence. Link to full paper
- O’Brien, Andrew & Kim, Edward & Weber, Rosina. (2023). “Investigating Causally Augmented Sparse Learning as a Tool for Meaningful Classification.” 2023 IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), IEEE Computer Society Press. 33-37. 10.1109/AIKE59827.2023.00013. Link to full paper
- Hannan, Darryl & Nesbit, Steven & Wen, Ximing & Smith, Glen & Zhang, Qiao & Goffi, Alberto & Chan, Vincent & Morris, Michael & Hunninghake, John & Villalobos, Nicholas & Kim, Edward & Weber, Rosina & MacLellan, Christopher. (2023). “MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples.” Proceedings of the AAAI Conference on Artificial Intelligence. 37. 15675-15681. 10.1609/aaai.v37i13.26859. Link to full paper
View a complete list of publications on the TeX-Base Lab’s website.
Recent Grant Awards
- DARPA ITM Trustworthy Algorithmic Delegate (TAD) (w/Parallax and Knexus)
- The 2020-24 NIH-NCATS Biomedical Data Translator Program
Visit the TeX-Base Lab’s website for more information