Publications


Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaiane, Mohammad-Hossein Motallebi, Juliano Rabelo, Talat Syed, Hengshuai Yao, Peter Chun. A Multi-component Framework for the Analysis and Design of Explainable Artificial Intelligence. Machine Learning and Knowledge Extraction, Special Issue on Advances in Explainable Artificial Intelligence - MDPI, 3, pp900-921,2021



Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaiane. A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images. IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2020). December 16-19, 2020



Housam Babiker, Mi-Young Kim and Randy Goebel. DISK-CSV: Distilling Interpretable Semantic Knowledge via Class Semantic Vector. Annual Conference of the European Chapter of the Association for Computational Linguistics, Kyiv, Ukraine. 2021.

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Housam Babiker, Mi-Young Kim and Randy Goebel. RANCC: Rationalizing Neural Networks via Concept Clustering. Proceedings of the 28th International Conference on Computational Linguistics, Barcelona, Spain. 2020.

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Juliano Rabelo, Mi-Young Kim and Randy Goebel. Application of Text Entailment Techniques in COLIEE 2020. International Workshop on Juris-informatics (JURISIN) associated with JSAI International Symposia on AI (JSAI-isAI). 2020.


S. Atakishiyev, H. Babiker, N. Farruque, R. Goebel , M-Y. Kim, M.H. Motallebi, J. Rabelo, T. Syed and O. R. Zaiane. A multi-component framework for the analysis and design of explainable artificial intelligence. arXiv. 2020.


Mi-Young Kim, Juliano Rabelo and Randy Goebel. Statute Law Information Retrieval and Entailment. ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, Montreal, Canada. 2019.


Juliano Rabelo, Mi-Young Kim and Randy Goebel. Combining Similarity and Transformer Methods for Case Law Entailment. ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, Montreal, Canada. 2019.



Randy Goebel, Ajay ChanderKatharina HolzingerFreddy LecueZeynep AkataSimone StumpfPeter Kieseberg,Andreas Holzinger. CD-MAKE 2018: Machine Learning and Knowledge Extraction. Accepted. 2018.

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Housam Babiker, Randy Goebel. An Introduction to Deep Visual Explanation. Neural Information Processing Workshop on Inteprtable Machine Learning, USA. 2017.

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Housam Babiker, Randy Goebel. Using KL-divergence to focus Deep Visual Explanation Neural Information Processing, Interpretable ML Symposium, USA. 2017.

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