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2020 – today
- 2024
[j7]Nikolaos Mylonas
, Ioannis Mollas, Grigorios Tsoumakas:
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification. Data Min. Knowl. Discov. 38(1): 128-153 (2024)- [j6]Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
Exploring local interpretability in dimensionality reduction: Analysis and use cases. Expert Syst. Appl. 252: 124074 (2024) - 2023
- [j5]Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas:
WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. Artif. Intell. Medicine 137: 102505 (2023) - [j4]Nikolaos Mylonas, Ioannis Mollas, Bin Liu, Yannis Manolopoulos, Grigorios Tsoumakas:
On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues. IEEE Intell. Syst. 38(2): 28-31 (2023) - [c5]Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas:
Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH. CBMS 2023: 157-162 - [c4]Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas:
Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction. DSAA 2023: 1-9 - [i3]Avraam Bardos, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas:
Local Interpretability of Random Forests for Multi-Target Regression. CoRR abs/2303.16506 (2023) - 2022
- [c3]Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
Local Multi-label Explanations for Random Forest. PKDD/ECML Workshops (1) 2022: 369-384 - [i2]Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
Local Multi-Label Explanations for Random Forest. CoRR abs/2207.01994 (2022) - [i1]Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas:
Improving Attention-Based Interpretability of Text Classification Transformers. CoRR abs/2209.10876 (2022) - 2021
- [j3]Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas:
Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. Pattern Recognit. Lett. 151: 62-68 (2021) - [c2]Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas:
A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. AIME 2021: 397-407 - 2020
- [j2]Borja Espejo-García, Nikolaos Mylonas, Loukas Athanasakos, Spyros Fountas:
Improving weeds identification with a repository of agricultural pre-trained deep neural networks. Comput. Electron. Agric. 175: 105593 (2020) - [j1]Spyros Fountas, Borja Espejo-García, Aikaterini Kasimati, Nikolaos Mylonas, Nicoleta Darra:
The Future of Digital Agriculture: Technologies and Opportunities. IT Prof. 22(1): 24-28 (2020) - [c1]Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas:
Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. SETN 2020: 175-184
Coauthor Index
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