Iosif Mporas
Iosif Mporas
Reader in Signal Processing and Machine Learning (Associate Professor), University of Hertfordshire
Verified email at - Homepage
Cited by
Cited by
Non-intrusive load monitoring: A review
PA Schirmer, I Mporas
IEEE Transactions on Smart Grid 14 (1), 769-784, 2022
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
An overview of automatic audio segmentation
T Theodorou, I Mporas, N Fakotakis
International Journal of Information Technology and Computer Science (IJITCS …, 2014
Estimation of unknown speaker’s height from speech
I Mporas, T Ganchev
International Journal of Speech Technology 12, 149-160, 2009
Update in COVID-19 in the intensive care unit from the 2020 HELLENIC Athens International symposium
J Rello, M Belliato, MA Dimopoulos, EJ Giamarellos-Bourboulis, V Jaksic, ...
Anaesthesia Critical Care & Pain Medicine 39 (6), 723-730, 2020
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
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
Statistical and electrical features evaluation for electrical appliances energy disaggregation
PA Schirmer, I Mporas
Sustainability 11 (11), 3222, 2019
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
Speech segmentation using regression fusion of boundary predictions
I Mporas, T Ganchev, N Fakotakis
Computer Speech & Language 24 (2), 273-288, 2010
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
Spike pattern recognition by supervised classification in low dimensional embedding space
EI Zacharaki, I Mporas, K Garganis, V Megalooikonomou
Brain informatics 3, 73-83, 2016
A multimodal user interface for an assistive robotic shopping cart
D Ryumin, I Kagirov, A Axyonov, N Pavlyuk, A Saveliev, I Kipyatkova, ...
Electronics 9 (12), 2093, 2020
Iterative robust semi-supervised missing data imputation
N Fazakis, G Kostopoulos, S Kotsiantis, I Mporas
IEEE Access 8, 90555-90569, 2020
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
Audio features selection for automatic height estimation from speech
T Ganchev, I Mporas, N Fakotakis
Artificial Intelligence: Theories, Models and Applications: 6th Hellenic …, 2010
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
Energy disaggregation using elastic matching algorithms
PA Schirmer, I Mporas, M Paraskevas
Entropy 22 (1), 71, 2020
Illegal logging detection based on acoustic surveillance of forest
I Mporas, I Perikos, V Kelefouras, M Paraskevas
Applied Sciences 10 (20), 7379, 2020
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
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