Nikolaos Mylonas

19 papers B 3Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
A Multi-Task Text Classification Pipeline with Natural Language Explanations for Greek Tweets.
MDTT
Nikolaos Mylonas, Nikolaos Stylianou, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris
2024 J jnl
A Multi-Task Text Classification Pipeline with Natural Language Explanations: A User-Centric Evaluation in Sentiment Analysis and Offensive Language Identification in Greek Tweets.
CoRR
Nikolaos Mylonas, Nikolaos Stylianou, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris
2024 J jnl
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification.
Data Min. Knowl. Discov.
Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2024 J jnl
Exploring local interpretability in dimensionality reduction: Analysis and use cases.
Expert Syst. Appl.
Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2023 B conf
Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH.
CBMS
Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2023 J jnl
Local Interpretability of Random Forests for Multi-Target Regression.
CoRR
Avraam Bardos, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2023 — conf
Local Interpretability of Random Forests for Multi-target Regression.
PKDD/ECML Workshops (1)
Avraam Bardos, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2023 — conf
On the Adaptability of Attention-Based Interpretability in Different Transformer Architectures for Multi-class Classification Tasks.
PKDD/ECML Workshops (1)
Sofia Katsaki, Christos Aivazidis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2023 J jnl
On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues.
IEEE Intell. Syst.
Nikolaos Mylonas, Ioannis Mollas, Bin Liu, Yannis Manolopoulos, Grigorios Tsoumakas
2023 B conf
Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction.
DSAA
Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2023 J jnl
WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors.
Artif. Intell. Medicine
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
2022 J jnl
Improving Attention-Based Interpretability of Text Classification Transformers.
CoRR
Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2022 J jnl
Local Multi-Label Explanations for Random Forest.
CoRR
Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022 — conf
Local Multi-label Explanations for Random Forest.
PKDD/ECML Workshops (1)
Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021 B conf
A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors.
AIME
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas
2021 J jnl
Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing.
Pattern Recognit. Lett.
Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas
2020 J jnl
Improving weeds identification with a repository of agricultural pre-trained deep neural networks.
Comput. Electron. Agric.
Borja Espejo-García, Nikolaos Mylonas, Loukas Athanasakos, Spyros Fountas
2020 J jnl
The Future of Digital Agriculture: Technologies and Opportunities.
IT Prof.
Spyros Fountas, Borja Espejo-García, Aikaterini Kasimati, Nikolaos Mylonas, Nicoleta Darra
2020 — conf
Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors.
SETN
Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas