Ioannis Mollas

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Text Classification

Learning Models

Dimensionality Reduction

Top Venues

PKDD/ECML Workshops (1)

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)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Truthful meta-explanations for local interpretability of machine learning models. Appl. Intell. 53 (22) (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)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
LioNets: a neural-specific local interpretation technique exploiting penultimate layer information. Appl. Intell. 53 (3) (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)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Altruist: Argumentative Explanations through Local Interpretations of Predictive Models. SETN (2022)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models. CoRR (2022)
Avraam Bardos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Local Explanation of Dimensionality Reduction. SETN (2022)
Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Local Multi-Label Explanations for Random Forest. CoRR (2022)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Conclusive local interpretation rules for random forests. Data Min. Knowl. Discov. 36 (4) (2022)
Avraam Bardos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Local Explanation of Dimensionality Reduction. CoRR (2022)
Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance. CoRR (2021)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Conclusive Local Interpretation Rules for Random Forests. CoRR (2021)
Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance. IJCAI (2021)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information. CoRR (2021)
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
Altruist: Argumentative Explanations through Local Interpretations of Predictive Models. CoRR (2020)
Ioannis Mollas, Nick Bassiliades, Ioannis P. Vlahavas, Grigorios Tsoumakas
LionForests: local interpretation of random forests. NeHuAI@ECAI (2020)
Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas
ETHOS: an Online Hate Speech Detection Dataset. CoRR (2020)
Ioannis Mollas, Grigorios Tsoumakas, Nick Bassiliades
LionForests: Local Interpretation of Random Forests through Path Selection. CoRR (2019)
Ioannis Mollas, Nikolaos Bassiliades, Grigorios Tsoumakas
LioNets: Local Interpretation of Neural Networks Through Penultimate Layer Decoding. PKDD/ECML Workshops (1) (2019)
Ioannis Mollas, Nikolaos Bassiliades, Grigorios Tsoumakas
LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding. CoRR (2019)
Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas
Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech. IJCAI (2018)