Pantelis

E. Kalisperakis, T. Karantinos, M. Lazaridi, V. Garyfalli, P.P. Filntisis, A. Zlatintsi, N. Efthymiou, A. Mantas, L. Mantonakis, T. Mougiakos, I. Maglogiannis, P. Tsanakas, P. Maragos andN. Smyrnis, Smartwatch digital phenotypes predict positive and negative symptom variation in a longitudinal monitoring study of patients with psychotic disorders, submitted in Frontiers in Psychiatry, 2022.

E. Fekas, A. Zlatintsi and P. Maragos, “Relapse Prediction from long–term Wearable Data using Self-Supervised Learning and Survival-Analysis”, submitted to ICASSP-2023

N. Efthymiou, G. Retsinas, P. P. Filntisis, A. Zlatintsi, C. Garoufis, E. Kalisperakis, T. Karantinos, V. Garyfalli, M. Lazaridi, N. Smyrnis and P. Maragos, Employing Digital Phenotype Identification for the Discovery of Psychotic Relapses, submitted to ICASSP-2023

A. Zlatintsi, P. P. Filntisis, C. Garoufis, N. Efthymiou, P. Maragos, A. Manychtas, I. Maglogiannis, P. Tsanakas, T. Sounapoglou, E. Kalisperakis, T. Karantinos, M. Lazaridi, V. Garyfali, A. Mantas, L. Mantonakis, and N. Smyrnis, “e-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analysing Long-Term Multimodal Data from Wearables and … Read more

M. Panagiotou, A. Zlatintsi, P. P. Filntisis, A. J. Roumeliotis, N. Efthymiou, P. Maragos, “A Comparative Study of Autoencoder Architectures for Mental Health Analysis using Wearable Sensors Data”, EUSIPCO–22, Beligrade, Serbia, 2022. Download

C. Garoufis, A. Zlatintsi, P. P. Filntisis, N. Efthymiou, E. Kalisperakis, T. Karantinos, V. Garyfalli, M. Lazaridi, N. Smyrnis and P. Maragos, “Towards Unsupervised Subject-Independent Speech-Based Relapse Detextion in Patients with Psychosis using Variational Autoencoders”, EUSIPCO–22, Beligrade, Serbia, 2022. Download

M. Lazaridi, T. Karantinos, P. P. Filntisis, E. Kalisperakis, A. Zlatintsi, N. Efthymiou, A. Mantas, P. Maragos and N. Smyrnis , “Can a smartwatch help cognitive neuroscience? the relation between physical activity and cognitive performance in healthy young adults”, SfN Global Connectome, Society for Neuroscience, E-poster, 2021.

E. Kalisperakis, T. Karantinos, P. P. Filntisis, M. Lazaridi, A. Zlatintsi, N. Efthymiou, A. Mantas, L. Mantonakis, V. Garyfalli, P. Tsanakas, P. Maragos and N. Smyrnis, “Smartwatch digital phenotypes relate to positive and negative psychotic symptom variation in a longitudinal monitoring study (e-Prevention) of patients with psychosis”, Neuroscience 2021 50th annual meeting (SfN), Poster, 2021.

C. Garoufis et al., “An Unsupervised Learning Approach for Detecting Relapses from Spontaneous Speech in Patients with Psychosis”, BHI-2021. Download

M. Tziomaka et al., Evaluating mental patients utilizing video analysis of facial expressions, AIAI-2021. Download