Investigating machine learning techniques for MRI-based classification of brain neoplasms. - Evangelia I. Zacharaki; Vasileios G. Kanas; Christos Davatzikos (Int. J. Comput. Assist. Radiol. Surg., 2011)

Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation. - Vasileios G. Kanas; Evangelia I. Zacharaki; Evangelos Dermatas; Anastasios Bezerianos; Kyriakos N. Sgarbas; Christos Davatzikos (AIAI (2), 2012)

Spatio-spectral analysis of ECoG signals during voice activity. - Vasileios G. Kanas; Iosif Mporas; Heather L. Benz; Kyriakos N. Sgarbas; Nathan E. Crone; Anastasios Bezerianos (BIBE, 2013)

Existence and control of chimera states in networks of nonlocally coupled models of neuron oscillators. - Johanne Hizanidis; Vasileios G. Kanas; Anastasios Bezerianos; Tassos Bountis (ICARCV, 2014)

On the development of brain quantum-computer interfaces. - Vasileios G. Kanas; Olga Karamitrou; Kyriakos N. Sgarbas (ICARCV, 2014)

Optimal selection of electrocorticographic sensors for voice activity detection. - Vasileios G. Kanas; Iosif Mporas; Heather L. Benz; Kyriakos N. Sgarbas; Nathan E. Crone; Anastasios Bezerianos (ICARCV, 2014)

Real-time voice activity detection for ECoG-based speech brain machine interfaces. - Vasileios G. Kanas; Iosif Mporas; Heather L. Benz; Kyriakos N. Sgarbas; Anastasios Bezerianos; Nathan E. Crone (DSP, 2014)

Chimera States in Networks of Nonlocally Coupled Hindmarsh-Rose Neuron Models. - Johanne Hizanidis; Vasileios G. Kanas; Anastasios Bezerianos; Tassos Bountis (Int. J. Bifurc. Chaos, 2014)

Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals. - Vasileios G. Kanas; Iosif Mporas; Heather L. Benz; Kyriakos N. Sgarbas; Anastasios Bezerianos; Nathan E. Crone (IEEE Trans. Biomed. Eng., 2014)

Classification of epileptic and non-epileptic events using tensor decomposition. - Vasileios G. Kanas; Evangelia I. Zacharaki; Evangelia Pippa; Vasiliki Tsirka; Michael Koutroumanidis; Vasileios Megalooikonomou (BIBE, 2015)

Time-Varying Parametric Modeling of ECoG for Syllable Decoding. - Vasileios G. Kanas; Iosif Mporas; Griffin Milsap; Kyriakos N. Sgarbas; Nathan E. Crone; Anastasios Bezerianos (BIH, 2015)

A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker. - Vasileios G. Kanas; Evangelia I. Zacharaki; Christos Davatzikos; Kyriakos N. Sgarbas; Vasileios Megalooikonomou (Biomed. Signal Process. Control., 2015)

On visual gaze tracking based on a single low cost camera. - Evangelos Skodras; Vasileios G. Kanas; Nikolaos D. Fakotakis (Signal Process. Image Commun., 2015)

EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition. - Evangelia Pippa; Vasileios G. Kanas; Evangelia I. Zacharaki; Vasiliki Tsirka; Michael Koutroumanidis; Vasileios Megalooikonomou (Int. J. Monit. Surveillance Technol. Res., 2016)

Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma. - Vasileios G. Kanas; Evangelia I. Zacharaki; Ginu A. Thomas; Pascal O. Zinn; Vasileios Megalooikonomou; Rivka R. Colen (Comput. Methods Programs Biomed., 2017)

An incremental self-trained ensemble algorithm. - Stamatis Karlos; Nikos Fazakis; Konstantinos Kaleris; Vasileios G. Kanas; Sotiris Kotsiantis (EAIS, 2018)

Optimized Active Learning Strategy for Audiovisual Speaker Recognition. - Stamatis Karlos; Konstantinos Kaleris; Nikos Fazakis; Vasileios G. Kanas; Sotiris Kotsiantis (SPECOM, 2018)

Investigating the Benefits of Exploiting Incremental Learners Under Active Learning Scheme. - Stamatis Karlos; Vasileios G. Kanas; Nikos Fazakis; Christos K. Aridas; Sotiris Kotsiantis (AIAI, 2019)

Combining Active Learning with Self-train algorithm for classification of multimodal problems. - Stamatis Karlos; Vasileios G. Kanas; Christos K. Aridas; Nikos Fazakis; Sotiris Kotsiantis (IISA, 2019)

Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme. - Nikos Fazakis; Vasileios G. Kanas; Christos K. Aridas; Stamatis Karlos; Sotiris Kotsiantis (Entropy, 2019)

Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets. - Christos K. Aridas; Stamatis Karlos; Vasileios G. Kanas; Nikos Fazakis; Sotiris B. Kotsiantis (IEEE Access, 2020)

Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes. - Stamatis Karlos; Christos K. Aridas; Vasileios G. Kanas; Sotiris Kotsiantis (Neural Comput. Appl., 2023)