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 | 81 | 2015 |
Non-intrusive load monitoring: A review PA Schirmer, I Mporas IEEE Transactions on Smart Grid 14 (1), 769-784, 2022 | 80 | 2022 |
An overview of automatic audio segmentation T Theodorou, I Mporas, N Fakotakis International Journal of Information Technology and Computer Science (IJITCS …, 2014 | 73 | 2014 |
Estimation of unknown speaker’s height from speech I Mporas, T Ganchev International Journal of Speech Technology 12, 149-160, 2009 | 65 | 2009 |
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 | 64 | 2016 |
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 | 63 | 2020 |
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 | 60 | 2007 |
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 | 59 | 2012 |
Statistical and electrical features evaluation for electrical appliances energy disaggregation PA Schirmer, I Mporas Sustainability 11 (11), 3222, 2019 | 58 | 2019 |
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 | 47 | 2013 |
Speech segmentation using regression fusion of boundary predictions I Mporas, T Ganchev, N Fakotakis Computer Speech & Language 24 (2), 273-288, 2010 | 45 | 2010 |
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 | 41 | 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 | 35 | 2020 |
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 | 35 | 2008 |
Iterative robust semi-supervised missing data imputation N Fazakis, G Kostopoulos, S Kotsiantis, I Mporas IEEE Access 8, 90555-90569, 2020 | 34 | 2020 |
Audio features selection for automatic height estimation from speech T Ganchev, I Mporas, N Fakotakis Artificial Intelligence: Theories, Models and Applications: 6th Hellenic …, 2010 | 34 | 2010 |
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 | 33 | 2014 |
Energy disaggregation using elastic matching algorithms PA Schirmer, I Mporas, M Paraskevas Entropy 22 (1), 71, 2020 | 30 | 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 | 28 | 2014 |
Illegal logging detection based on acoustic surveillance of forest I Mporas, I Perikos, V Kelefouras, M Paraskevas Applied Sciences 10 (20), 7379, 2020 | 27 | 2020 |