no code implementations • 18 Mar 2024 • Filippos Gouidis, Katerina Papantoniou, Konstantinos Papoutsakis Theodore Patkos, Antonis Argyros, Dimitris Plexousakis
Domain-specific knowledge can significantly contribute to addressing a wide variety of vision tasks.
no code implementations • 22 Jul 2023 • Filipos Gouidis, Theodore Patkos, Antonis Argyros, Dimitris Plexousakis
We investigate the problem of Object State Classification (OSC) as a zero-shot learning problem.
1 code implementation • 15 Dec 2021 • Filippos Gouidis, Theodore Patkos, Antonis Argyros, Dimitris Plexousakis
This study enables the setup of a baseline on the performance of SD, as well as its relative performance in comparison to OD, in a variety of scenarios.
no code implementations • 6 Nov 2021 • Katerina Papantoniou, Panagiotis Papadakos, Giorgos Flouris, Dimitris Plexousakis
In this work we consider the collection of deceptive April Fools' Day(AFD) news articles as a useful addition in existing datasets for deception detection tasks.
no code implementations • 26 May 2021 • Katerina Papantoniou, Panagiotis Papadakos, Theodore Patkos, Giorgos Flouris, Ion Androutsopoulos, Dimitris Plexousakis
Our focus is on automatic deception detection in text across cultures.
Cultural Vocal Bursts Intensity Prediction Deception Detection +1
no code implementations • 26 Dec 2019 • Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos, Antonis Argyros, Nick Bassiliades, Dimitris Plexousakis
Object perception is a fundamental sub-field of Computer Vision, covering a multitude of individual areas and having contributed high-impact results.
no code implementations • 9 Oct 2017 • Alexandros Papangelis, Panagiotis Papadakos, Margarita Kotti, Yannis Stylianou, Yannis Tzitzikas, Dimitris Plexousakis
In this work we discuss the related challenges and describe an approach towards the fusion of state-of-the-art technologies from the Spoken Dialogue Systems (SDS) and the Semantic Web and Information Retrieval domains.
no code implementations • 14 Dec 2015 • Theodore Patkos, Dimitris Plexousakis, Abdelghani Chibani, Yacine Amirat
Action languages have emerged as an important field of Knowledge Representation for reasoning about change and causality in dynamic domains.