Nikolaos Mylonas

According to our database, Nikolaos Mylonas authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 2024

Exploring local interpretability in dimensionality reduction: Analysis and use cases.

Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

Expert Syst. Appl., 2024

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, March, 2023

On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues.

Nikolaos Mylonas, Ioannis Mollas, Bin Liu, Yannis Manolopoulos, Grigorios Tsoumakas

IEEE Intell. Syst., 2023

Local Interpretability of Random Forests for Multi-Target Regression.

Avraam Bardos, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas

CoRR, 2023

Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction.

Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH.

Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Improving Attention-Based Interpretability of Text Classification Transformers.

Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas

CoRR, 2022

Local Multi-label Explanations for Random Forest.

Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

2021

Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing.

Stamatis Karlos, Nikolaos Mylonas, Grigorios Tsoumakas

Pattern Recognit. Lett., 2021

A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors.

Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

The Future of Digital Agriculture: Technologies and Opportunities.

Spyros Fountas, Borja Espejo-García, Aikaterini Kasimati, Nikolaos Mylonas, Nicoleta Darra

IT Prof., 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

Zero-Shot Classification of Biomedical Articles with Emerging MeSH Descriptors.

Nikolaos Mylonas, Stamatis Karlos, Grigorios Tsoumakas

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020