Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Christos Garoufis"'
Autor:
Athanasia Zlatintsi, Panagiotis P. Filntisis, Niki Efthymiou, Christos Garoufis, George Retsinas, Thomas Sounapoglou, Ilias Maglogiannis, Panayiotis Tsanakas, Nikolaos Smyrnis, Petros Maragos
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 641-651 (2024)
This paper presents an overview of the e-Prevention: Person Identification and Relapse Detection Challenge, which was an open call for researchers at ICASSP-2023. The challenge aimed at the analysis and processing of long-term continuous recordings o
Externí odkaz:
https://doaj.org/article/ac7f0b06f1a045adb26b40e7f8ddba4a
Autor:
Athanasia Zlatintsi, Panagiotis P. Filntisis, Christos Garoufis, Niki Efthymiou, Petros Maragos, Andreas Menychtas, Ilias Maglogiannis, Panayiotis Tsanakas, Thomas Sounapoglou, Emmanouil Kalisperakis, Thomas Karantinos, Marina Lazaridi, Vasiliki Garyfalli, Asimakis Mantas, Leonidas Mantonakis, Nikolaos Smyrnis
Publikováno v:
Sensors, Vol 22, Iss 19, p 7544 (2022)
Wearable technologies and digital phenotyping foster unique opportunities for designing novel intelligent electronic services that can address various well-being issues in patients with mental disorders (i.e., schizophrenia and bipolar disorder), thu
Externí odkaz:
https://doaj.org/article/a127b11c177645cf911785a69f35c8c6
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0516580524d26a49171f7d2c46bcf72
https://doi.org/10.23919/eusipco55093.2022.9909713
https://doi.org/10.23919/eusipco55093.2022.9909713
Autor:
Manuel Bouillon, Carlos Acosta, Kosmas Kritsis, Robert Piéchaud, Christos Garoufis, Vassilis Katsouros, Daniel Martín-Albo, Athanasia Zlatintsi, Petross Marago
Publikováno v:
Journal of the Audio Engineering Society. 68:738-746
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::651962961d27ca13a2ced2061ebfa72b
https://doi.org/10.17743/jaes.2020.0021
https://doi.org/10.17743/jaes.2020.0021
Autor:
E. Kalisperakis, T. Karantinos, Athanasia Zlatintsi, Christos Garoufis, Niki Efthymiou, Nikolaos Smyrnis, V. Garyfalli, Petros Maragos, L. Mantonakis, Panagiotis Paraskevas Filntisis
Publikováno v:
BHI
In this work, we aim to explore and develop a speech analysis system that identifies relapses in patients with psychotic disorders (i.e., bipolar disorder and schizophrenia) with the long-term goal of monitoring and detecting relapse indicators, in o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed6dcb0f39771bcd259d4eefa1068d9d
https://doi.org/10.1109/bhi50953.2021.9508515
https://doi.org/10.1109/bhi50953.2021.9508515
Autor:
Athanasia Zlatintsi, Christos Garoufis, Agelos Kratimenos, Petros Maragos, Kleanthis Avramidis
Publikováno v:
ICASSP
Sound Event Detection and Audio Classification tasks are traditionally addressed through time-frequency representations of audio signals such as spectrograms. However, the emergence of deep neural networks as efficient feature extractors has enabled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47982c6ba802a7c695113165d76387b5
https://doi.org/10.1109/icassp39728.2021.9413479
https://doi.org/10.1109/icassp39728.2021.9413479
The advent of deep learning has led to the prevalence of deep neural network architectures for monaural music source separation, with end-to-end approaches that operate directly on the waveform level increasingly receiving research attention. Among t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc918aee35587b791d5d09a8ea49e713
http://arxiv.org/abs/2103.04336
http://arxiv.org/abs/2103.04336
Autor:
Agelos Kratimenos, Kleanthis Avramidis, Athanasia Zlatintsi, Petros Maragos, Christos Garoufis
Publikováno v:
EUSIPCO
Instrument classification is one of the fields in Music Information Retrieval (MIR) that has attracted a lot of research interest. However, the majority of that is dealing with monophonic music, while efforts on polyphonic material mainly focus on pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f97e4c57970779c8ee3134f03d7e7e5d
https://doi.org/10.23919/eusipco47968.2020.9287745
https://doi.org/10.23919/eusipco47968.2020.9287745
Emotion Recognition from EEG signals has long been researched as it can assist numerous medical and rehabilitative applications. However, their complex and noisy structure has proven to be a serious barrier for traditional modeling methods. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6785143dbf24274b53ec6163849e17d4
http://arxiv.org/abs/2010.16310
http://arxiv.org/abs/2010.16310
Publikováno v:
ICASSP
In this paper, we describe an interactive generative music system, designed to handle polyphonic guitar music. We formulate the problem of chord progression generation as a prediction problem. Thus, we propose utilization of an LSTM-based network arc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04126533907e2741c0f6c55cdfa36e4e
https://doi.org/10.1109/icassp40776.2020.9053992
https://doi.org/10.1109/icassp40776.2020.9053992