Search Results - "Retsinas, G."

Person Identification Using Deep Convolutional Neural Networks on Short-Term Signals from Wearable Sensors by Retsinas, G., Filntisis, P. P., Efthymiou, N., Theodosis, E., Zlatintsi, A., Maragos, P.

“…In this work, we explore the discriminating ability of short-term signal patterns (e.g. few minutes long) with respect to the person identification task. We…”
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E-Prevention: The ICASSP-2023 Challenge on Person Identification and Relapse Detection from Continuous Recordings of Biosignals by Zlatintsi, A., Filntisis, P. P., Efthymiou, N., Garoufis, C., Retsinas, G., Sounapoglou, T., Maglogiannis, I., Tsanakas, P., Smyrnis, N., Maragos, P.

“…The e-Prevention challenge concerns the analysis and processing of long-term continuous recordings of biosignals recorded from wearable sensors, i.e.,…”
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Augmenting Transformer Autoencoders with Phenotype Classification for Robust Detection of Psychotic Relapses by Efthymiou, N., Retsinas, G., Filntisis, P. P., Maragos, P.

“…Recently, deep autoencoder architectures have received attention for the problem of unsupervised anomaly detection. Detecting psychotic relapses in mental…”
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The 2nd E-Prevention Challenge: Psychotic and Non-Psychotic Relapse Detection Using Wearable-Based Digital Phenotyping by Filntisis, P.P., Efthymiou, N., Retsinas, G., Zlatintsi, A., Garoufis, C., Sounapoglou, T., Tsanakas, P., Smyrnis, N., Maragos, P.

“…The 2nd e-Prevention challenge 1 aims to foster innovative research in the prediction and identification of mental health relapses by an-alyzing and processing…”
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