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Vasileios G. Kanas
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2020 – today
- 2023
- [j10]Stamatis Karlos
, Christos K. Aridas, Vasileios G. Kanas, Sotiris Kotsiantis:
Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes. Neural Comput. Appl. 35(1): 3-20 (2023) - 2020
- [j9]Christos K. Aridas
Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets. IEEE Access 8: 2122-2133 (2020)
2010 – 2019
- 2019
- [j8]Nikos Fazakis
Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme. Entropy 21(10): 988 (2019) - [c12]Stamatis Karlos
Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme. AIAI 2019: 37-49 - [c11]Stamatis Karlos, Vasileios G. Kanas, Christos K. Aridas, Nikos Fazakis, Sotiris Kotsiantis:
Combining Active Learning with Self-train algorithm for classification of multimodal problems. IISA 2019: 1-8 - 2018
- [c10]Stamatis Karlos
An incremental self-trained ensemble algorithm. EAIS 2018: 1-8 - [c9]Stamatis Karlos
Optimized Active Learning Strategy for Audiovisual Speaker Recognition. SPECOM 2018: 281-290 - 2017
- [j7]Vasileios G. Kanas, Evangelia I. Zacharaki
Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma. Comput. Methods Programs Biomed. 140: 249-257 (2017) - 2016
- [j6]Evangelia Pippa, Vasileios G. Kanas, Evangelia I. Zacharaki, Vasiliki Tsirka, Michael Koutroumanidis, Vasileios Megalooikonomou:
EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition. Int. J. Monit. Surveillance Technol. Res. 4(2): 1-15 (2016) - 2015
- [j5]Vasileios G. Kanas, Evangelia I. Zacharaki
A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker. Biomed. Signal Process. Control. 22: 19-30 (2015) - [j4]Evangelos Skodras
On visual gaze tracking based on a single low cost camera. Signal Process. Image Commun. 36: 29-42 (2015) - [c8]Vasileios G. Kanas, Evangelia I. Zacharaki
Classification of epileptic and non-epileptic events using tensor decomposition. BIBE 2015: 1-5 - [c7]Vasileios G. Kanas, Iosif Mporas, Griffin Milsap, Kyriakos N. Sgarbas
Time-Varying Parametric Modeling of ECoG for Syllable Decoding. BIH 2015: 222-231 - 2014
- [j3]Johanne Hizanidis, Vasileios G. Kanas, Anastasios Bezerianos, Tassos Bountis:
Chimera States in Networks of Nonlocally Coupled Hindmarsh-Rose Neuron Models. Int. J. Bifurc. Chaos 24(3) (2014) - [j2]Vasileios G. Kanas, Iosif Mporas, Heather L. Benz
Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals. IEEE Trans. Biomed. Eng. 61(4): 1241-1250 (2014) - [c6]Vasileios G. Kanas, Iosif Mporas, Heather L. Benz
Optimal selection of electrocorticographic sensors for voice activity detection. ICARCV 2014: 29-32 - [c5]Vasileios G. Kanas, Olga Karamitrou, Kyriakos N. Sgarbas
On the development of brain quantum-computer interfaces. ICARCV 2014: 239-242 - [c4]Johanne Hizanidis, Vasileios G. Kanas, Anastasios Bezerianos, Tassos Bountis:
Existence and control of chimera states in networks of nonlocally coupled models of neuron oscillators. ICARCV 2014: 243-246 - [c3]Vasileios G. Kanas, Iosif Mporas, Heather L. Benz
Real-time voice activity detection for ECoG-based speech brain machine interfaces. DSP 2014: 862-865 - 2013
- [c2]Vasileios G. Kanas, Iosif Mporas, Heather L. Benz
Spatio-spectral analysis of ECoG signals during voice activity. BIBE 2013: 1-4 - 2012
- [c1]Vasileios G. Kanas, Evangelia I. Zacharaki
Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation. AIAI (2) 2012: 26-35 - 2011
- [j1]Evangelia I. Zacharaki
Investigating machine learning techniques for MRI-based classification of brain neoplasms. Int. J. Comput. Assist. Radiol. Surg. 6(6): 821-828 (2011)
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