Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors N Mylonas, S Karlos, G Tsoumakas 11th Hellenic Conference on Artificial Intelligence, 175-184, 2020 | 9 | 2020 |
Local multi-label explanations for random forest N Mylonas, I Mollas, N Bassiliades, G Tsoumakas Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 5 | 2022 |
A multi-instance multi-label weakly supervised approach for dealing with emerging MeSH descriptors N Mylonas, S Karlos, G Tsoumakas International Conference on Artificial Intelligence in Medicine, 397-407, 2021 | 4 | 2021 |
An attention matrix for every decision: Faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification N Mylonas, I Mollas, G Tsoumakas Data Mining and Knowledge Discovery, 1-26, 2023 | 2 | 2023 |
On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues N Mylonas, I Mollas, B Liu, Y Manolopoulos, G Tsoumakas IEEE Intelligent Systems 38 (2), 28-31, 2023 | 1 | 2023 |
WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors N Mylonas, S Karlos, G Tsoumakas Artificial Intelligence in Medicine 137, 102505, 2023 | 1 | 2023 |
Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing S Karlos, N Mylonas, G Tsoumakas Pattern Recognition Letters 151, 62-68, 2021 | 1 | 2021 |
Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction D Akrivousis, N Mylonas, I Mollas, G Tsoumakas 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | | 2023 |
Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH N Mylonas, I Mollas, G Tsoumakas 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | | 2023 |
Local Interpretability of Random Forests for Multi-Target Regression A Bardos, N Mylonas, I Mollas, G Tsoumakas arXiv preprint arXiv:2303.16506, 2023 | | 2023 |
Improving Attention-Based Interpretability of Text Classification Transformers N Mylonas, I Mollas, G Tsoumakas arXiv preprint arXiv:2209.10876, 2022 | | 2022 |