Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Stamou, Giorgos"'
Publikováno v:
Transactions on Graph Data and Knowledge, Vol 1, Iss 1, Pp 8:1-8:35 (2023)
The graph model is nowadays largely adopted to model a wide range of knowledge and data, spanning from social networks to knowledge graphs (KGs), representing a successful paradigm of how symbolic and transparent AI can scale on the World Wide Web. H
Externí odkaz:
https://doaj.org/article/e696bd6a9ef64d9e89232b45b4077f3c
Autor:
Symeonaki, Maria, Stamou, Giorgos, Kazani, Aggeliki, Tsouparopoulou, Eva, Stamatopoulou, Glykeria
For nearly a century, social researchers and psychologists have debated the efficacy of psychometric scales for attitude measurement, focusing on Thurstone's equal appearing interval scales and Likert's summated rating scales. Thurstone scales fell o
Externí odkaz:
http://arxiv.org/abs/2405.19011
The massive digitization of artworks during the last decades created the need for categorization, analysis, and management of huge amounts of data related to abstract concepts, highlighting a challenging problem in the field of computer science. The
Externí odkaz:
http://arxiv.org/abs/2405.11675
Explainable Artificial Intelligence (XAI) has emerged as a critical area of research aimed at enhancing the transparency and interpretability of AI systems. Counterfactual Explanations (CFEs) offer valuable insights into the decision-making processes
Externí odkaz:
http://arxiv.org/abs/2404.08721
In this paper, we outline our submission for the SemEval-2024 Task 9 competition: 'BRAINTEASER: A Novel Task Defying Common Sense'. We engage in both sub-tasks: Sub-task A-Sentence Puzzle and Sub-task B-Word Puzzle. We evaluate a plethora of pre-trai
Externí odkaz:
http://arxiv.org/abs/2404.01084
In this paper, we present our team's submissions for SemEval-2024 Task-6 - SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes. The participants were asked to perform binary classification to identify cases of fluen
Externí odkaz:
http://arxiv.org/abs/2404.01210
Story Visualization (SV) is a challenging generative vision task, that requires both visual quality and consistency between different frames in generated image sequences. Previous approaches either employ some kind of memory mechanism to maintain con
Externí odkaz:
http://arxiv.org/abs/2403.08502
Autor:
Dimitriou, Angeliki, Lymperaiou, Maria, Filandrianos, Giorgos, Thomas, Konstantinos, Stamou, Giorgos
Publikováno v:
ICML 2024
Counterfactual explanations (CEs) based on concepts are explanations that consider alternative scenarios to understand which high-level semantic features contributed to particular model predictions. In this work, we propose CEs based on the semantic
Externí odkaz:
http://arxiv.org/abs/2403.06514
Exploring the capabilities of Large Language Models (LLMs) in puzzle solving unveils critical insights into their potential and challenges in AI, marking a significant step towards understanding their applicability in complex reasoning tasks. This su
Externí odkaz:
http://arxiv.org/abs/2402.11291
Publikováno v:
The World Conference on eXplainable Artificial Intelligence (XAI 2024)
Counterfactuals have been established as a popular explainability technique which leverages a set of minimal edits to alter the prediction of a classifier. When considering conceptual counterfactuals on images, the edits requested should correspond t
Externí odkaz:
http://arxiv.org/abs/2401.11609