S. Tasoulis

Vassilis P. Plagianakos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Biomedical Data Ensemble Classification using Random Projections

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Statistical data mining of streaming motion data for activity and fall recognition in assistive environments

S. K. Tasoulis, C. N. Doukas, V. P. Plagianakos, 2013, Neurocomputing.

Density based Projection Pursuit Clustering

Dimitris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, 2012, 2012 IEEE Congress on Evolutionary Computation.

Enhancing principal direction divisive clustering

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Sotiris K. Tasoulis, 2010, Pattern Recognit..

Fast k-NN search pdf

Jukka Corander, Sotiris K. Tasoulis, Liang Wang, 2015, Big Data 2015.

Independent Component Clustering for Skin Lesions Characterization

Vassilis P. Plagianakos, Ilias Maglogiannis, Sotiris K. Tasoulis, 2011, EANN/AIAI.

Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis

Vassilis P. Plagianakos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, 2020, Advanced Computational Intelligence in Healthcare.

Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces

Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Vassilis Plagianakos, 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).

Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm

Michael N. Vrahatis, Sotiris K. Tasoulis, Aristidis G. Vrahatis, 2021, LION.

Minimum Density Hyperplanes

Nicos G. Pavlidis, Sotiris K. Tasoulis, David P. Hofmeyr, 2015, J. Mach. Learn. Res..

Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier pdf

Nicos G. Pavlidis, Sotiris K. Tasoulis, David P. Hofmeyr, 2015, ArXiv.

Evolutionary Principal Direction Divisive Partitioning

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Sotiris K. Tasoulis, 2010, IEEE Congress on Evolutionary Computation.

Projection Based Clustering of Gene Expression Data

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Sotiris K. Tasoulis, 2009, CIBB.

A Power-Efficient Neuromorphic Digital Implementation of Neural–Glial Interactions

A. Kakarountas, S. Tasoulis, Angeliki Bicaku, 2023, Journal of Low Power Electronics and Applications.

Clustering of High Dimensional Data Streams

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Sotiris K. Tasoulis, 2012, SETN.

Convolutional Neural Networks for Twitter Text Toxicity Analysis

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2019, INNSBDDL.

Classification of apoptosis using advanced clustering techniques on digital microscopic images

I. Maglogiannis, C.N. Doukas, S.K. Tasoulis, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Knee Injury Detection Using Deep Learning on MRI Studies: A Systematic Review

M. Vlychou, D. Tsaopoulos, M. Hantes, 2022, Diagnostics.

A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images

S.V. Georgakopoulos, I. Maglogiannis, S.K. Tasoulis, 2015, Inf. Sci..

Detection of Fake Generated Scientific Abstracts

V. Plagianakos, S. Tasoulis, S. Georgakopoulos, 2023, 2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService).

Text Analysis of COVID-19 Tweets

V. Plagianakos, S. Tasoulis, S. Georgakopoulos, 2022, International Conference on Engineering Applications of Neural Networks.

Convolutional Neural Networks for Toxic Comment Classification

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2018, SETN.

Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework

Jussi Kangasharju, Sotiris K. Tasoulis, Liang Wang, 2016, IEEE Transactions on Big Data.

Change detection and convolution neural networks for fall recognition

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2020, Neural Computing and Applications.

Deep Learning and Change Detection for Fall Recognition

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2019, EANN.

Approximate kNN Classification for Biomedical Data pdf

Sotiris K. Tasoulis, Aristidis G. Vrahatis, Panagiotis Anagnostou, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Random direction divisive clustering

Dimitris K. Tasoulis, Vassilis P. Plagianakos, Sotiris K. Tasoulis, 2013, Pattern Recognit. Lett..

Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Ilias Maglogiannis, 2013, EANN.

Real Time Sentiment Change Detection of Twitter Data Streams

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2018, 2018 Innovations in Intelligent Systems and Applications (INISTA).

1 A systems toxicology approach to identifying paracetamol overdose 1

S. Webb, D. Antoine, S. Tasoulis, 2018 .

Kvasir: Seamless Integration of Latent Semantic Analysis-Based Content Provision into Web Browsing

Jussi Kangasharju, Sotiris K. Tasoulis, Liang Wang, 2015, WWW.

Fractal analysis and fuzzy c-means clustering for quantification of fibrotic microscopy images

Vassilis P. Plagianakos, Ilias Maglogiannis, Sotiris K. Tasoulis, 2014, Artificial Intelligence Review.

Unsupervised Detection of Fibrosis in Microscopy Images Using Fractals and Fuzzy c-Means Clustering

Vassilis P. Plagianakos, Ilias Maglogiannis, Sotiris K. Tasoulis, 2012, AIAI.

A single-cell Systems Biology approach for disease-specific subpathway extraction

Vassilis P. Plagianakos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Single-cell regulatory network inference and clustering from high-dimensional sequencing data

Vassilis P. Plagianakos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Nonlinear dimensionality reduction for clustering

Nicos G. Pavlidis, Sotiris K. Tasoulis, Teemu Roos, 2020, Pattern Recognit..

Ensemble Classification through Random Projections for single-cell RNA-seq data

Aristidis G. Vrahatis, Vassilis Plagianakos, Sotiris Tasoulis, 2020, bioRxiv.

Unsupervised Learning for Large Scale Data: The ATHLOS Project

Aristidis G. Vrahatis, J. Ayuso-Mateos, V. Plagianakos, 2021, medRxiv.

Two phase cooperative learning for supervised dimensionality reduction

V. Plagianakos, S. Tasoulis, S. Georgakopoulos, 2023, Pattern Recognit..

Neural Networks Voting for Projection Based Ensemble Classifiers

V. Plagianakos, S. Tasoulis, S. Georgakopoulos, 2023, 2023 IEEE International Conference on Big Data (BigData).

Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation

V. Plagianakos, S. Tasoulis, S. Georgakopoulos, 2024, Health Inf. Sci. Syst..