Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. - Nikolaos Mylonas; Stamatis Karlos; Grigorios Tsoumakas (SETN, 2020)

Improving weeds identification with a repository of agricultural pre-trained deep neural networks. - Borja Espejo-García; Nikolaos Mylonas; Loukas Athanasakos; Spyros Fountas (Comput. Electron. Agric., 2020)

The Future of Digital Agriculture: Technologies and Opportunities. - Spyros Fountas; Borja Espejo-García; Aikaterini Kasimati; Nikolaos Mylonas; Nicoleta Darra (IT Prof., 2020)

A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors. - Nikolaos Mylonas; Stamatis Karlos; Grigorios Tsoumakas (AIME, 2021)

Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing. - Stamatis Karlos; Nikolaos Mylonas; Grigorios Tsoumakas (Pattern Recognit. Lett., 2021)

Local Multi-label Explanations for Random Forest. - Nikolaos Mylonas; Ioannis Mollas; Nick Bassiliades; Grigorios Tsoumakas (PKDD/ECML Workshops (1), 2022)

Improving Attention-Based Interpretability of Text Classification Transformers. - Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (CoRR, 2022)

Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH. - Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (CBMS, 2023)

Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction. - Dimitrios Akrivousis; Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (DSAA, 2023)

Local Interpretability of Random Forests for Multi-target Regression. - Avraam Bardos; Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (PKDD/ECML Workshops (1), 2023)

On the Adaptability of Attention-Based Interpretability in Different Transformer Architectures for Multi-class Classification Tasks. - Sofia Katsaki; Christos Aivazidis; Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (PKDD/ECML Workshops (1), 2023)

On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues. - Nikolaos Mylonas; Ioannis Mollas; Bin Liu 058; Yannis Manolopoulos; Grigorios Tsoumakas (IEEE Intell. Syst., 2023)

WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. - Nikolaos Mylonas; Stamatis Karlos; Grigorios Tsoumakas (Artif. Intell. Medicine, 2023)

A Multi-Task Text Classification Pipeline with Natural Language Explanations: A User-Centric Evaluation in Sentiment Analysis and Offensive Language Identification in Greek Tweets. - Nikolaos Mylonas; Nikolaos Stylianou; Theodora Tsikrika; Stefanos Vrochidis; Ioannis Kompatsiaris (CoRR, 2024)

Exploring local interpretability in dimensionality reduction: Analysis and use cases. - Nikolaos Mylonas; Ioannis Mollas; Nick Bassiliades; Grigorios Tsoumakas (Expert Syst. Appl., 2024)

An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification. - Nikolaos Mylonas; Ioannis Mollas; Grigorios Tsoumakas (Data Min. Knowl. Discov., 2024)

A Multi-Task Text Classification Pipeline with Natural Language Explanations for Greek Tweets. - Nikolaos Mylonas; Nikolaos Stylianou; Theodora Tsikrika; Stefanos Vrochidis; Ioannis Kompatsiaris (MDTT, 2025)