K
Kostas Marias
Researcher at Foundation for Research & Technology – Hellas
Publications - 239
Citations - 3294
Kostas Marias is an academic researcher from Foundation for Research & Technology – Hellas. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 27, co-authored 212 publications receiving 2401 citations. Previous affiliations of Kostas Marias include American Hotel & Lodging Educational Institute & Mediterranean University.
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Journal ArticleDOI
Stress and anxiety detection using facial cues from videos
Giorgos Giannakakis,Matthew Pediaditis,Dimitris Manousos,Eleni Kazantzaki,Franco Chiarugi,Panagiotis G. Simos,Panagiotis G. Simos,Kostas Marias,Manolis Tsiknakis,Manolis Tsiknakis +9 more
TL;DR: Specific facial cues, derived from eye activity, mouth activity, head movements and camera based heart activity achieve good accuracy and are suitable as discriminative indicators of stress and anxiety.
Proceedings ArticleDOI
A novel method to detect Heart Beat Rate using a mobile phone
TL;DR: This paper proposes a system capable of estimating the heart beat rate using just a camera from a commercially available mobile phone, that the user does not need specialized hardware and can take a measurement in virtually any place under almost any circumstances.
Journal ArticleDOI
Automatic Assessment of Depression Based on Visual Cues: A Systematic Review
Anastasia Pampouchidou,Panagiotis G. Simos,Kostas Marias,Fabrice Meriaudeau,Fan Yang,Matthew Pediaditis,Manolis Tsiknakis +6 more
TL;DR: The review outlines methods and algorithms for visual feature extraction, dimensionality reduction, decision methods for classification and regression approaches, as well as different fusion strategies, for automatic depression assessment utilizing visual cues alone or in combination with vocal or verbal cues.
Journal ArticleDOI
Interpretable artificial intelligence framework for COVID-19 screening on chest X-rays
Nikos Tsiknakis,Eleftherios Trivizakis,Evangelia E. Vassalou,Georgios Z. Papadakis,Demetrios A. Spandidos,Aristidis Tsatsakis,Jose Sánchez‑García,Rafael López‑González,Nikolaos Papanikolaou,Apostolos H. Karantanas,Kostas Marias +10 more
TL;DR: This study presents an interpretable AI framework assessed by expert radiologists on the basis on how well the attention maps focus on the diagnostically-relevant image regions, achieving an overall area under the curve of 1 for a binary classification problem across a 5-fold training/testing dataset.
Proceedings ArticleDOI
Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text
Anastasia Pampouchidou,Olympia Simantiraki,Amir Fazlollahi,Matthew Pediaditis,Dimitris Manousos,Alexandros Roniotis,Georgios Giannakakis,Fabrice Meriaudeau,Panagiotis G. Simos,Kostas Marias,Fan Yang,Manolis Tsiknakis +11 more
TL;DR: The present paper reports on the results of the participants' participation to the depression sub-challenge of the sixth Audio/Visual Emotion Challenge (AVEC 2016), which was designed to compare feature modalities in gender-based and gender-independent modes using a variety of classification algorithms.