| Debiased explainable pairwise ranking from implicit feedback K Damak, S Khenissi, O Nasraoui Proceedings of the 15th ACM Conference on Recommender Systems, 321-331, 2021 | 18 | 2021 |
| Sequence-based explainable hybrid song recommendation K Damak, O Nasraoui, WS Sanders Frontiers in big Data 4, 693494, 2021 | 6 | 2021 |
| SeER: an explainable deep learning MIDI-based hybrid song recommender system K Damak, O Nasraoui arXiv preprint arXiv:1907.01640, 2019 | 5 | 2019 |
| Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers K Damak, S Khenissi, O Nasraoui Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| A Data-science Approach to Flagging Non-retention in Engineering Enrollment Data M Boujelbene, K Damak, ACA Sener, JL Hieb, CR Bego, PA Ralston, ... 2020 ASEE Virtual Annual Conference Content Access, 2020 | 1 | 2020 |
| A framework for unbiased explainable pairwise ranking for recommendation K Damak, S Khenissi, O Nasraoui Software Impacts 11, 100208, 2022 | | 2022 |
| New accurate, explainable, and unbiased machine learning models for recommendation with implicit feedback. K Damak | | 2022 |
| An explainable sequence-based deep learning predictor with applications to song recommendation and text classification. K Damak | | 2019 |
