Iosif Mporas
Iosif Mporas
Reader in Signal Processing and Machine Learning (Associate Professor)
Verified email at - Homepage
Cited by
Cited by
Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients
I Mporas, V Tsirka, EI Zacharaki, M Koutroumanidis, M Richardson, ...
Expert systems with applications 42 (6), 3227-3233, 2015
Affective speech interface in serious games for supporting therapy of mental disorders
T Kostoulas, I Mporas, O Kocsis, T Ganchev, N Katsaounos, ...
Expert Systems with Applications 39 (12), 11072-11079, 2012
Estimation of unknown speaker’s height from speech
I Mporas, T Ganchev
International Journal of Speech Technology 12 (4), 149-160, 2009
Comparison of speech features on the speech recognition task
I Mporas, T Ganchev, M Siafarikas, N Fakotakis
Journal of Computer Science 3 (8), 608-616, 2007
Speech segmentation using regression fusion of boundary predictions
I Mporas, T Ganchev, N Fakotakis
Computer Speech & Language 24 (2), 273-288, 2010
Improving classification of epileptic and non-epileptic EEG events by feature selection
E Pippa, EI Zacharaki, I Mporas, V Tsirka, MP Richardson, ...
Neurocomputing 171, 576-585, 2016
An overview of automatic audio segmentation
T Theodorou, I Mporas, N Fakotakis
International Journal of Information Technology and Computer Science (IJITCS …, 2014
Automatic speech recognition performance in different room acoustic environments with and without dereverberation preprocessing
A Tsilfidis, I Mporas, J Mourjopoulos, N Fakotakis
Computer Speech & Language 27 (1), 380-395, 2013
A hybrid architecture for automatic segmentation of speech waveforms
I Mporas, T Ganchev, N Fakotakis
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
Statistical and electrical features evaluation for electrical appliances energy disaggregation
PA Schirmer, I Mporas
Sustainability 11 (11), 3222, 2019
Audio features selection for automatic height estimation from speech
T Ganchev, I Mporas, N Fakotakis
Hellenic Conference on Artificial Intelligence, 81-90, 2010
Human motion detection in daily activity tasks using wearable sensors
O Politi, I Mporas, V Megalooikonomou
2014 22nd European signal processing conference (EUSIPCO), 2315-2319, 2014
Joint spatial-spectral feature space clustering for speech activity detection from ECoG signals
VG Kanas, I Mporas, HL Benz, KN Sgarbas, A Bezerianos, NE Crone
IEEE Transactions on Biomedical Engineering 61 (4), 1241-1250, 2014
Improving phone duration modelling using support vector regression fusion
A Lazaridis, I Mporas, T Ganchev, G Kokkinakis, N Fakotakis
Speech Communication 53 (1), 85-97, 2011
A Real-World Emotional Speech Corpus for Modern Greek.
T Kostoulas, T Ganchev, I Mporas, N Fakotakis
LREC, 2008
Fraud detection in voice-based identity authentication applications and services
S Safavi, H Gan, I Mporas, R Sotudeh
2016 IEEE 16th international conference on data mining workshops (ICDMW …, 2016
Online seizure detection from EEG and ECG signals for monitoring of epileptic patients
I Mporas, V Tsirka, EI Zacharaki, M Koutroumanidis, V Megalooikonomou
Hellenic Conference on Artificial Intelligence, 442-447, 2014
Spike pattern recognition by supervised classification in low dimensional embedding space
EI Zacharaki, I Mporas, K Garganis, V Megalooikonomou
Brain informatics 3 (2), 73-83, 2016
Context-adaptive pre-processing scheme for robust speech recognition in fast-varying noise environment
I Mporas, T Ganchev, O Kocsis, N Fakotakis
Signal Processing 91 (8), 2101-2111, 2011
Feature Selection Evaluation for Light Human Motion Identification in Frailty Monitoring System.
E Pippa, I Mporas, V Megalooikonomou
ICT4AgeingWell, 88-95, 2016
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