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Stefanos Kollias
Researcher at University of Lincoln
Publications - Â 430
Citations - Â 10137
Stefanos Kollias is an academic researcher from University of Lincoln. The author has contributed to research in topics: Artificial neural network & Image segmentation. The author has an hindex of 42, co-authored 418 publications receiving 9179 citations. Previous affiliations of Stefanos Kollias include National Technical University & National and Kapodistrian University of Athens.
Papers
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Journal ArticleDOI
Emotion recognition in human-computer interaction
Roddy Cowie,Ellen Douglas-Cowie,Nicolas Tsapatsoulis,George N. Votsis,Stefanos Kollias,W. Fellenz,John G. Taylor +6 more
TL;DR: Basic issues in signal processing and analysis techniques for consolidating psychological and linguistic analyses of emotion are examined, motivated by the PKYSTA project, which aims to develop a hybrid system capable of using information from faces and voices to recognize people's emotions.
Book ChapterDOI
A string metric for ontology alignment
TL;DR: A new string metric for the comparison of names which performs better on the process of ontology alignment as well as to many other field matching problems is presented.
Journal ArticleDOI
2005 Special Issue: Emotion recognition through facial expression analysis based on a neurofuzzy network
Spiros Ioannou,Amaryllis Raouzaiou,Vasilis A. Tzouvaras,Theofilos Mailis,Kostas Karpouzis,Stefanos Kollias +5 more
TL;DR: A novel neurofuzzy system is created, based on rules that have been defined through analysis of FAP variations both at the discrete emotional space, as well as in the 2D continuous activation-evaluation one, that allows for further learning and adaptation to specific users' facial expression characteristics.
Journal ArticleDOI
An adaptive least squares algorithm for the efficient training of artificial neural networks
TL;DR: In this paper, a novel learning algorithm is developed for the training of multilayer feedforward neural networks, based on a modification of the Marquardt-Levenberg least-squares optimization method.
Journal ArticleDOI
Estimation of behavioral user state based on eye gaze and head pose--application in an e-learning environment
TL;DR: A mechanism which compiles feedback related to the behavioral state of the user in the context of reading an electronic document is presented, achieved using a non-intrusive scheme, which uses a simple web camera to detect and track the head, eye and hand movements.