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Nikolaos Mylonas
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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
92020
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
52022
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
42021
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
22023
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
12023
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
12023
Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing
S Karlos, N Mylonas, G Tsoumakas
Pattern Recognition Letters 151, 62-68, 2021
12021
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
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