Publications on Explainability and Interpretability

 Wen, X., Tan, W., & Weber, R. O. (2025) GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification. In Proceedings of the 31th International Conference on Computational Linguistics. ACL, Stroudsburg, PA, USA.

Goel, P., & Weber, R. (2025). Measuring Interpretability: A systematic literature review of interpretability measures in AI. In Proceedings of the 38th International FLAIRS Conference.

 Weber, R. O., Johs, A. J., Goel, P., & Marques, Joao (2024) XAI is in Trouble. AI Magazine 45,3:300-316. Click here to watch the video abstract!

 Ximing Wen, Rosina O. Weber, Anik Sen, Darryl Hannan, Steven C. Nesbit, Vincent Chan, Alberto Goffi, Michael Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Christopher J. MacLellan (2023) The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data XAI Workshop at IJCAI 2024

 Mallika Mainali and Rosina O. Weber (2023) What's meant by explainable model: A Scoping Review IJCAI 2023 Workshop on Explainable Artificial Intelligence

 Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan (2023) MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples Innovative Applications of Artificial Intelligence (IAAI 2023)

 Johs, A. J., Agosto, D., & Weber, R. O. (2022) Explainable artificial intelligence and social science: Further insights for qualitative investigation Applied AI Letters. 2022;e64. doi:10.1002/ail2.64

 Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam and Rosina O Weber. (2022) When a CBR in Hand is Better than Twins in the Bush. XCBR’22 at ICCBR-2022.

 Rosina O. Weber, Prateek Goel, Shideh Amiri, and Gideon Simpson (2021) Longitudinal Distance: Towards Accountable Instance Attribution. H. Borck, V. Eisenstadt, A. Sanchez-Ruiz, M. Floyd (eds.) Workshops Proceedings for the 29th International Conference on Case-Based Reasoning co-located with the 29th International Conference on Case-Based Reasoning (ICCBR 2021)

 Rosina O. Weber, Manil Shrestha, and Adam J Johs (2021) Knowledge-based XAI through CBR: There is more to explanations than models can tell. H. Borck, V. Eisenstadt, A. Sanchez-Ruiz, M. Floyd (eds.) Workshops Proceedings for the 29th International Conference on Case-Based Reasoning co-located with the 29th International Conference on Case-Based Reasoning (ICCBR 2021)

 Johs, A. J., Agosto, D., & Weber, R. O. (2021). Qualitative Investigation in Explainable Artificial Intelligence: A Bit More Insight from Social Science. Explainable Agency in Artificial Intelligence Workshop@ the 35th AAAI Conference on Artificial Intelligence - A Virtual Conference, February 2-9, 2021.

 Jakob Michael Schoenborn, Rosina O. Weber, David W. Aha, Jorg Cassens, Klaus-Dieter Althoff (2021). Opportunities and Challenges of Explainable Case-Based Reasoning. Explainable Agency in Artificial Intelligence Workshop@ the 35th AAAI Conference on Artificial Intelligence - A Virtual Conference, February 2-9, 2021.

 Weber, R. O., Hong, H., Goel, P. (2019). Explaining Citation Recommendations: Abstracts or Full Texts? In IJCAI 2019 Explainable AI Workshop.

 Weber, R.O., Johs, A.J., Li, J., Huang, K. (2018). Investigating Textual Case-Based XAI. In M. T. Cox et al. (Eds.): ICCBR 2018, Lecture Notes in Computer Science 11156, pp. 431–447. Springer. Winner of the ICCBR 2018 Best Paper Award.

 Johs, A. J., Lutts, M., & Weber, R. O. (2018). Measuring explanation quality in XCBR. In M. Minor (Ed.), ICCBR 2018: Workshop Proceedings of the 26th International Conference on Case-Based Reasoning (pp. 75-83). Cham, Switzerland: Springer International Publishing AG.

  Ceci, F., Weber, R. O., & Goncalvez, A. (2016). A model for sentiment analysis based on ontology and cases. IEEE Latin America Transactions 14(11):4560.