| Emotional tone detection in arabic tweets A Alkhatib, SR El-Beltagy Computational Linguistics and Intelligent Text Processing: 18th …, 2017 | 49 | 2017 |
| Interpretable Graph Neural Networks for Tabular Data A Alkhatib, S Ennadir, H Boström, M Vazirgiannis ECAI 2024 - 27th European Conference on Artificial Intelligence, 2023 | 5 | 2023 |
| Explaining Predictions by Characteristic Rules A Alkhatib, H Boström, M Vazirgiannis European Conference on Machine Learning and Principles and Practice of …, 2022 | 5 | 2022 |
| Approximating Score-based Explanation Techniques Using Conformal Regression A Alkhatib, H Boström, S Ennadir, J Ulf Proceedings of Machine Learning Research (PMLR) 204, 20, 2023 | 4 | 2023 |
| A simple and effective approach for fine tuning pre-trained word embeddings for improved text classification A Alkhatib, SR El-Beltagy arXiv preprint arXiv:1908.02579, 2019 | 4 | 2019 |
| Assessing explanation quality by venn prediction A Alkhatib, H Boström, U Johansson Conformal and Probabilistic Prediction with Applications, 42-54, 2022 | 3 | 2022 |
| UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks S Ennadir, A Alkhatib, G Nikolentzos, M Vazirgiannis, H Boström International Conference on Complex Networks and Their Applications, 100-111, 2023 | 1 | 2023 |
| Interpretable Graph Neural Networks for Heterogeneous Tabular Data A Alkhatib, H Boström arXiv preprint arXiv:2408.07661, 2024 | | 2024 |
| Fast Approximation of Shapley Values with Limited Data A Alkhatib, H Boström 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, 95-100, 2024 | | 2024 |
| Estimating Quality of Approximated Shapley Values Using Conformal Prediction A Alkhatib, H Boström, U Johansson Proceedings of Machine Learning Research 230, 1-17, 2024 | | 2024 |
| Conformalized Adversarial Attack Detection for Graph Neural Networks S Ennadir, A Alkhatib, H Bostrom, M Vazirgiannis Conformal and Probabilistic Prediction with Applications, 311-323, 2023 | | 2023 |
Henrik BoströmProfessor of computer science - data science systems, KTH Royal Institute of TechnologyVerified email at kth.se
