Supplier segmentation using fuzzy linguistic preference relations and fuzzy clustering PS Haghighi, M Moradi, M Salahi International Journal of Intelligent Systems and Applications 6 (5), 76, 2014 | 20 | 2014 |
An explainable autoencoder for collaborative filtering recommendation PS Haghighi, O Seton, O Nasraoui arXiv preprint arXiv:2001.04344, 2019 | 17 | 2019 |
An unsupervised machine learning approach to assess the zip code level impact of covid-19 in nyc F Khmaissia, PS Haghighi, A Jayaprakash, Z Wu, S Papadopoulos, Y Lai, ... arXiv preprint arXiv:2006.08361, 2020 | 11 | 2020 |
Tag-boosted Explainable Matrix Factorization Methods for Multi-style Explanations O Seton, PS Haghighi, M Alshammari, O Nasraoui | 1 | 2021 |
New explainable active learning approach for recommender systems S Khenissi, B Abdollahi, W Sun, P Sagheb, O Nasraoui | 1 | 2017 |
Supplier Evaluation: Fuzzy Linguistic Preference Relations and Fuzzy C-Means Approach PS Haghighi, M Moradi, M Salahi International Journal of Operations Research 11 (3), 069-081, 2014 | 1 | 2014 |
Enhancing Explainable Matrix Factorization with Tags for Multi-Style Explanations. O Seton, PS Haghighi, M Alshammari, O Nasraoui KDIR, 75-85, 2023 | | 2023 |
Cosine-based explainable matrix factorization for collaborative filtering recommendation. P Sagheb Haghighi | | 2021 |
An Explainable Autoencoder For Collaborative Filtering Recommendation P Sagheb Haghighi, O Seton, O Nasraoui arXiv e-prints, arXiv: 2001.04344, 2019 | | 2019 |