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A machine learning approach to predict emotional arousal and valence from gaze extracted features.

V. Skaramagkas, E. Ktistakis, D. Manousos, N. Tachos, E. Kazantzaki, E. Tripoliti, D. Fotiadis, and M. Tsiknakis. BIBE, page 1-5. IEEE, (2021)

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Evanthia Kigitsidou

Evanthia Nitsiota

Evanthia Mergia

Evanthia Tsigkana

Evanthia Mavridou

Other publications of authors with the same name

Clustering based Segmentation of MR Images for the Delineation and Monitoring of Multiple Sclerosis Progression.S. Zelilidou, E. Tripoliti, K. Vlachos, S. Konitsiotis, and D. Fotiadis. BIBE, page 1-4. IEEE, (2021)A machine learning approach to predict emotional arousal and valence from gaze extracted features.V. Skaramagkas, E. Ktistakis, D. Manousos, N. Tachos, E. Kazantzaki, E. Tripoliti, D. Fotiadis, and M. Tsiknakis. BIBE, page 1-5. IEEE, (2021)Cognitive workload level estimation based on eye tracking: A machine learning approach.V. Skaramagkas, E. Ktistakis, D. Manousos, N. Tachos, E. Kazantzaki, E. Tripoliti, D. Fotiadis, and M. Tsiknakis. BIBE, page 1-5. IEEE, (2021)Crafting vascular medicine training scenarios: The RT3S authoring tool.E. Tripoliti, I. Pappas, E. Petrakis, and J. Sans. BIBE, page 1-4. IEEE Computer Society, (2013)COLET: A dataset for COgnitive workLoad estimation based on eye-tracking.E. Ktistakis, V. Skaramagkas, D. Manousos, N. Tachos, E. Tripoliti, D. Fotiadis, and M. Tsiknakis. Comput. Methods Programs Biomed., (2022)Real Time Human Activity Recognition Using Acceleration and First-Person Camera data.C. Androutsos, N. Tachos, E. Tripoliti, I. Karatzanis, D. Manousos, M. Tsiknakis, and D. Fotiadis. EMBC, page 6966-6969. IEEE, (2021)Occlusal caries detection using random walker algorithm: A graph approach.C. Bampis, G. Koutsouri, E. Berdouses, E. Tripoliti, D. Iliopoulou, D. Koutsouris, C. Oulis, and D. Fotiadis. EMBC, page 1929-1932. IEEE, (2014)Detection of occlusal caries based on digital image processing.G. Koutsouri, E. Berdouses, E. Tripoliti, C. Oulis, and D. Fotiadis. BIBE, page 1-4. IEEE Computer Society, (2013)ProMiSi Architecture - A Tool for the Estimation of the Progression of Multiple Sclerosis Disease using MRI.E. Tripoliti, S. Zelilidou, K. Vlahos, S. Konitsiotis, and D. Fotiadis. BIBE, page 284-287. IEEE, (2019)On Assessing Motor Disorders in Parkinson's Disease.M. Tsipouras, A. Tzallas, E. Tripoliti, G. Rigas, P. Bougia, D. Fotiadis, S. Tsouli, and S. Konitsiotis. MobiHealth, volume 55 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 35-38. Springer, (2010)

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Disambiguation of "Tripoliti, Evanthia E."

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A machine learning approach to predict emotional arousal and valence from gaze extracted features.

Please choose a person to relate this publication to

Evanthia Kigitsidou

Evanthia Nitsiota

Evanthia Mergia

Evanthia Tsigkana

Evanthia Mavridou

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tripoliti, Evanthia E."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A machine learning approach to predict emotional arousal and valence from gaze extracted features.

Please choose a person to relate this publication to

Evanthia Kigitsidou

Evanthia Nitsiota

Evanthia Mergia

Evanthia Tsigkana

Evanthia Mavridou

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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A machine learning approach to predict emotional arousal and valence from gaze extracted features.