Ioannis Mollas

Orcid: 0000-0002-7765-7903

According to our database1, Ioannis Mollas authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification.
Data Min. Knowl. Discov., January, 2024

Exploring local interpretability in dimensionality reduction: Analysis and use cases.
Expert Syst. Appl., 2024

2023
Truthful meta-explanations for local interpretability of machine learning models.
Appl. Intell., November, 2023

On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues.
IEEE Intell. Syst., 2023

Local Interpretability of Random Forests for Multi-Target Regression.
CoRR, 2023

LioNets: a neural-specific local interpretation technique exploiting penultimate layer information.
Appl. Intell., 2023

Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction.
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.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Conclusive local interpretation rules for random forests.
Data Min. Knowl. Discov., 2022

Improving Attention-Based Interpretability of Text Classification Transformers.
CoRR, 2022

Altruist: Argumentative Explanations through Local Interpretations of Predictive Models.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Local Explanation of Dimensionality Reduction.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Local Multi-label Explanations for Random Forest.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

2021
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
ETHOS: an Online Hate Speech Detection Dataset.
CoRR, 2020

LionForests: local interpretation of random forests.
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.
CoRR, 2019

LioNets: Local Interpretation of Neural Networks Through Penultimate Layer Decoding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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