Nikolaos Mylonas

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Text Classification

Top Venues

Artif. Intell. Medicine

Comput. Electron. Agric.

Publications

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) (2024)
Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Exploring local interpretability in dimensionality reduction: Analysis and use cases. Expert Syst. Appl. 252 (2024)
Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH. CBMS (2023)
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) (2023)
Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction. DSAA (2023)
Avraam Bardos, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
Local Interpretability of Random Forests for Multi-Target Regression. CoRR (2023)
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 (2023)
Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Local Multi-label Explanations for Random Forest. PKDD/ECML Workshops (1) (2022)
Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
Improving Attention-Based Interpretability of Text Classification Transformers. CoRR (2022)
Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Local Multi-Label Explanations for Random Forest. CoRR (2022)
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. AIME (2021)
Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas
Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. Pattern Recognit. Lett. 151 (2021)
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 (2020)
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. SETN (2020)
Spyros Fountas, Borja Espejo-García, Aikaterini Kasimati, Nikolaos Mylonas, Nicoleta Darra
The Future of Digital Agriculture: Technologies and Opportunities. IT Prof. 22 (1) (2020)