Ioannis Mollas

30 papers A* 2B 2Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
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
LioNets: a neural-specific local interpretation technique exploiting penultimate layer information.
Appl. Intell.
Ioannis Mollas, Nick Bassiliades, 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
Truthful meta-explanations for local interpretability of machine learning models.
Appl. Intell.
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022 — conf
Altruist: Argumentative Explanations through Local Interpretations of Predictive Models.
SETN
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022 J jnl
Conclusive local interpretation rules for random forests.
Data Min. Knowl. Discov.
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022 J jnl
ETHOS: a multi-label hate speech detection dataset.
Complex Intell. Syst.
Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas
2022 J jnl
Improving Attention-Based Interpretability of Text Classification Transformers.
CoRR
Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
2022 — conf
Local Explanation of Dimensionality Reduction.
SETN
Avraam Bardos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2022 J jnl
Local Explanation of Dimensionality Reduction.
CoRR
Avraam Bardos, Ioannis Mollas, Nick Bassiliades, 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
2022 J jnl
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models.
CoRR
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021 J jnl
Conclusive Local Interpretation Rules for Random Forests.
CoRR
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021 J jnl
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information.
CoRR
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021 A* conf
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance.
IJCAI
Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021 J jnl
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance.
CoRR
Spyridon Paraschos, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2020 J jnl
Altruist: Argumentative Explanations through Local Interpretations of Predictive Models.
CoRR
Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2020 J jnl
ETHOS: an Online Hate Speech Detection Dataset.
CoRR
Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, Grigorios Tsoumakas
2020 — conf
LionForests: local interpretation of random forests.
NeHuAI@ECAI
Ioannis Mollas, Nick Bassiliades, Ioannis P. Vlahavas, Grigorios Tsoumakas
2019 — conf
LioNets: Local Interpretation of Neural Networks Through Penultimate Layer Decoding.
PKDD/ECML Workshops (1)
Ioannis Mollas, Nikolaos Bassiliades, Grigorios Tsoumakas
2019 J jnl
LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding.
CoRR
Ioannis Mollas, Nikolaos Bassiliades, Grigorios Tsoumakas
2019 J jnl
LionForests: Local Interpretation of Random Forests through Path Selection.
CoRR
Ioannis Mollas, Grigorios Tsoumakas, Nick Bassiliades
2018 A* conf
Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech.
IJCAI
Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas