Orfeas Menis-Mastromichalakis

Orcid: 0000-0001-5286-1388

According to our database1, Orfeas Menis-Mastromichalakis authored at least 18 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Assumed Identities: Quantifying Gender Bias in Machine Translation of Ambiguous Occupational Terms.
CoRR, March, 2025

AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking.
CoRR, March, 2025

MusicLIME: Explainable Multimodal Music Understanding.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Don't Erase, Inform! Detecting and Contextualizing Harmful Language in Cultural Heritage Collections.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Searching for explanations of black-box classifiers in the space of semantic queries.
Semantic Web, 2024

Crowdsourcing as a Pedagogical Tool in Computer Science Higher Education: a Case Study.
Hum. Comput., 2024

GOSt-MT: A Knowledge Graph for Occupation-related Gender Biases in Machine Translation.
CoRR, 2024

Beyond One-Size-Fits-All: Adapting Counterfactual Explanations to User Objectives.
CoRR, 2024

Semantic Prototypes: Enhancing Transparency without Black Boxes.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Rule-Based Explanations of Machine Learning Classifiers Using Knowledge Graphs.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023
Employing Crowdsourcing for Enriching a Music Knowledge Base in Higher Education.
CoRR, 2023

Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs.
CoRR, 2022

Towards Explainable Evaluation of Language Models on the Semantic Similarity of Visual Concepts.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
CrowdHeritage: Crowdsourcing for Improving the Quality of Cultural Heritage Metadata.
Inf., 2021

Semantic Queries Explaining Opaque Machine Learning Classifiers.
Proceedings of the Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2021) part of Bratislava Knowledge September (BAKS 2021), 2021

2020
CrowdHeritage: Improving the quality of Cultural Heritage through crowdsourcing methods.
Proceedings of the 15th International Workshop on Semantic and Social Media Adaptation and Personalization, 2020

Deep Ensemble Art Style Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020


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