Jason Liartis

11 papers A 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Beyond One-Size-Fits-All: How User Objectives Shape Counterfactual Explanations.
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Orfeas Menis-Mastromichalakis, Jason Liartis, Giorgos Stamou
2025 — conf
Don't Erase, Inform! Detecting and Contextualizing Harmful Language in Cultural Heritage Collections.
ACL (1)
Orfeas Menis-Mastromichalakis, Jason Liartis, Kristina Rose, Antoine Isaac, Giorgos Stamou
2025 J jnl
Don't Erase, Inform! Detecting and Contextualizing Harmful Language in Cultural Heritage Collections.
CoRR
Orfeas Menis-Mastromichalakis, Jason Liartis, Kristina Rose, Antoine Isaac, Giorgos Stamou
2025 J jnl
Go witheFlow: Real-time Emotion Driven Audio Effects Modulation.
CoRR
Edmund Dervakos, Spyridon Kantarelis, Vassilis Lyberatos, Jason Liartis, Giorgos Stamou
2024 J jnl
Beyond One-Size-Fits-All: Adapting Counterfactual Explanations to User Objectives.
CoRR
Orfeas Menis-Mastromichalakis, Jason Liartis, Giorgos Stamou
2024 — conf
Combining Automatic Annotation with Human Validation for the Semantic Enrichment of Cultural Heritage Metadata.
CHR
Eirini Kaldeli, Alexandros Chortaras, Vassilis Lyberatos, Jason Liartis, Spyridon Kantarelis, Giorgos Stamou
2024 J jnl
Searching for explanations of black-box classifiers in the space of semantic queries.
Semantic Web
Jason Liartis, Edmund Dervakos, Orfeas Menis-Mastromichalakis, Alexandros Chortaras, Giorgos Stamou
2024 J jnl
Semantic Prototypes: Enhancing Transparency Without Black Boxes.
CoRR
Orfeas Menis-Mastromichalakis, Giorgos Filandrianos, Jason Liartis, Edmund Dervakos, Giorgos Stamou
2024 A conf
Semantic Prototypes: Enhancing Transparency without Black Boxes.
CIKM
Orfeas Menis-Mastromichalakis, Giorgos Filandrianos, Jason Liartis, Edmund Dervakos, Giorgos Stamou
2023 J jnl
Synergy of Machine and Deep Learning Models for Multi-Painter Recognition.
CoRR
Vassilis Lyberatos, Paraskevi-Antonia Theofilou, Jason Liartis, Georgios Siolas
2021 — conf
Semantic Queries Explaining Opaque Machine Learning Classifiers.
DAO-XAI
Jason Liartis, Edmund Dervakos, Orfeas Menis-Mastromichalakis, Alexandros Chortaras, Giorgos Stamou