Ioannis Mollas

According to our database, Ioannis Mollas authored at least 19 papers between 2018 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

Truthful meta-explanations for local interpretability of machine learning models.

Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

Appl. Intell., November, 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

LioNets: a neural-specific local interpretation technique exploiting penultimate layer information.

Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

Appl. Intell., 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

Conclusive local interpretation rules for random forests.

Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

Data Min. Knowl. Discov., 2022

Improving Attention-Based Interpretability of Text Classification Transformers.

Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas

CoRR, 2022

Altruist: Argumentative Explanations through Local Interpretations of Predictive Models.

Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Local Explanation of Dimensionality Reduction.

Avraam Bardos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 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

VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance.

Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

ETHOS: an Online Hate Speech Detection Dataset.

Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas

CoRR, 2020

LionForests: local interpretation of random forests.

Ioannis Mollas, Nick Bassiliades, Ioannis P. Vlahavas, Grigorios Tsoumakas

Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019

LionForests: Local Interpretation of Random Forests through Path Selection.

Ioannis Mollas, Grigorios Tsoumakas, Nick Bassiliades

CoRR, 2019

LioNets: Local Interpretation of Neural Networks Through Penultimate Layer Decoding.

Ioannis Mollas, Nikolaos Bassiliades, Grigorios Tsoumakas

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech.

Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018