Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Christos Koutlis"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5456 (2024)
Internet memes are a special type of digital content that is shared through social media. They have recently emerged as a popular new format of media communication. They are often multimodal, combining text with images and aim to express humor, irony
Externí odkaz:
https://doaj.org/article/efa23fb05e424c36ace4ae1513a679e5
Autor:
Christos Koutlis, Dimitris Kugiumtzis
Publikováno v:
Entropy, Vol 23, Iss 2, p 208 (2021)
Many methods of Granger causality, or broadly termed connectivity, have been developed to assess the causal relationships between the system variables based only on the information extracted from the time series. The power of these methods to capture
Externí odkaz:
https://doaj.org/article/dd5e6b4c4a6749a08f3981b98282a690
Publikováno v:
Information, Vol 11, Iss 6, p 323 (2020)
Estimating and analyzing the popularity of an entity is an important task for professionals in several areas, e.g., music, social media, and cinema. Furthermore, the ample availability of online data should enhance our insights into the collective co
Externí odkaz:
https://doaj.org/article/d6ed60a7777248958d45f8b217ccb8b7
Publikováno v:
Entropy, Vol 21, Iss 11, p 1080 (2019)
Granger causality and variants of this concept allow the study of complex dynamical systems as networks constructed from multivariate time series. In this work, a large number of Granger causality measures used to form causality networks from multiva
Externí odkaz:
https://doaj.org/article/e031eb21699140329d29deccd998c4e2
In this paper we introduce InDistill, a model compression approach that combines knowledge distillation and channel pruning in a unified framework for the transfer of the critical information flow paths from a heavyweight teacher to a lightweight stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f79023da783d180ee040756242286ca
Autor:
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Panagiotis C. Petrantonakis
With the expansion of social media and the increasing dissemination of multimedia content, the spread of misinformation has become a major concern. This necessitates effective strategies for multimodal misinformation detection (MMD) that detect wheth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79a880e710918a469b31a7ac72f8f8fd
Publikováno v:
6th ACM Conference on Recommender Systems 2022
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation
For fashion outfits to be considered aesthetically pleasing, the garments that constitute them need to be compatible in terms of visual aspects, such as style, category and color. Previous works have defined visual compatibility as a binary classific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66451e4ce6cc605fd3849c43f3aef15e
Autor:
Stefanos Papadopoulos, Christos Koutlis, Jamie Sutherland, Manjunath Sudheer, Symeon Papadopoulos, Elisavet Chatzilari
eTryon’s WP3 is centered around building systems for 1) pattern recognition in fashionimagery, 2) fashion trend forecasting and garment popularity prediction and 3) fashionrecommendations. The current deliverable (D3.2) uses the fashion labels and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c37d46a635c53c8f85a630c146cc09a
Autor:
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Manjunath Sudheer, Martina Pugliese, Delphine Rabiller, Symeon Papadopoulos, Ioannis Kompatsiaris
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783030940157
Fine-grained information extraction from fashion imagery is a challengingtask due to the inherent diversity and complexity of fashion categories andattributes. Additionally, fashion imagery often depict multiple items while fashionitems tend to follo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c479258ead294702d892bd4f76ebd8d
Publikováno v:
Frontiers in Network Physiology. 1
The usage of methods for the estimation of the true underlying connectivity among the observed variables of a system is increasing, especially in the domain of neuroscience. Granger causality and similar concepts are employed for the estimation of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::494e05894147e0d953b3c71119123f91