Projection Based Clustering of Gene Expression Data. - Sotiris K. Tasoulis; Vassilis P. Plagianakos; Dimitris K. Tasoulis (CIBB, 2009)

Evolutionary Principal Direction Divisive Partitioning. - Sotiris K. Tasoulis; Dimitris K. Tasoulis; Vassilis P. Plagianakos (IEEE Congress on Evolutionary Computation, 2010)

Skin Lesions Characterisation Utilising Clustering Algorithms. - Sotiris K. Tasoulis; Charalampos N. Doukas; Ilias Maglogiannis; Vassilis P. Plagianakos (SETN, 2010)

Enhancing principal direction divisive clustering. - Sotiris K. Tasoulis; Dimitris K. Tasoulis; Vassilis P. Plagianakos (Pattern Recognit., 2010)

Statistical data mining of streaming motion data for fall detection in assistive environments. - Sotiris K. Tasoulis; Charalampos N. Doukas; Ilias Maglogiannis; Vassilis P. Plagianakos (EMBC, 2011)

Independent Component Clustering for Skin Lesions Characterization. - Sotiris K. Tasoulis; Charalampos N. Doukas; Ilias Maglogiannis; Vassilis P. Plagianakos (AIAI, 2011)

Density based Projection Pursuit Clustering. - Sotiris K. Tasoulis; Michael G. Epitropakis; Vassilis P. Plagianakos; Dimitris K. Tasoulis (IEEE Congress on Evolutionary Computation, 2012)

Unsupervised Detection of Fibrosis in Microscopy Images Using Fractals and Fuzzy c-Means Clustering. - Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (AIAI (1), 2012)

Clustering of High Dimensional Data Streams. - Sotiris K. Tasoulis; Dimitris K. Tasoulis; Vassilis P. Plagianakos (SETN, 2012)

Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos; Ilias Maglogiannis (EANN (1), 2013)

Statistical data mining of streaming motion data for activity and fall recognition in assistive environments. - Sotiris K. Tasoulis; Charalampos N. Doukas; Vassilis P. Plagianakos; Ilias Maglogiannis (Neurocomputing, 2013)

Random direction divisive clustering. - Sotiris K. Tasoulis; Dimitris K. Tasoulis; Vassilis P. Plagianakos (Pattern Recognit. Lett., 2013)

Random projection based clustering for population genomics. - Sotiris K. Tasoulis; Lu Cheng 004; Niko Välimäki; Nicholas J. Croucher; Simon R. Harris; William P. Hanage; Teemu Roos; Jukka Corander (IEEE BigData, 2014)

Fractal analysis and fuzzy c-means clustering for quantification of fibrotic microscopy images. - Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (Artif. Intell. Rev., 2014)

Efficient change detection for high dimensional data streams. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (IEEE BigData, 2015)

On-Line Fall Detection via Mobile Accelerometer Data. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (AIAI, 2015)

Kvasir: Seamless Integration of Latent Semantic Analysis-Based Content Provision into Web Browsing. - Liang Wang 009; Sotiris K. Tasoulis; Teemu Roos; Jussi Kangasharju (WWW (Companion Volume), 2015)

Fast k-NN search. - Ville Hyvönen; Teemu Pitkänen; Sotiris K. Tasoulis; Liang Wang 009; Teemu Roos; Jukka Corander (CoRR, 2015)

Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier. - Nicos G. Pavlidis; David P. Hofmeyr; Sotiris K. Tasoulis (CoRR, 2015)

A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images. - Ilias Maglogiannis; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (Inf. Sci., 2015)

Fast nearest neighbor search through sparse random projections and voting. - Ville Hyvönen; Teemu Pitkänen; Sotiris K. Tasoulis; Elias Jaasaari; Risto Tuomainen; Liang Wang 009; Jukka Corander; Teemu Roos (IEEE BigData, 2016)

Manifold Visualization via Short Walks. - Yang Zhao; Sotiris K. Tasoulis; Teemu Roos (EuroVis (Short Papers), 2016)

Minimum Density Hyperplanes. - Nicos G. Pavlidis; David P. Hofmeyr; Sotiris K. Tasoulis (J. Mach. Learn. Res., 2016)

Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework. - Liang Wang 009; Sotiris K. Tasoulis; Teemu Roos; Jussi Kangasharju (IEEE Trans. Big Data, 2016)

Biomedical Data Ensemble Classification using Random Projections. - Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IEEE BigData, 2018)

Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections. - Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IEEE BigData, 2018)

Real Time Sentiment Change Detection of Twitter Data Streams. - Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (INISTA, 2018)

Convolutional Neural Networks for Toxic Comment Classification. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Vassilis P. Plagianakos (SETN, 2018)

Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces. - Aristidis G. Vrahatis; Georgios N. Dimitrakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (BIBE, 2019)

Single-cell regulatory network inference and clustering from high-dimensional sequencing data. - Aristidis G. Vrahatis; Georgios N. Dimitrakopoulos; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IEEE BigData, 2019)

A single-cell Systems Biology approach for disease-specific subpathway extraction. - Aristidis G. Vrahatis; Georgios N. Dimitrakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (CIBCB, 2019)

Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. - Aristidis G. Vrahatis; Sotiris K. Tasoulis; Georgios N. Dimitrakopoulos; Vassilis P. Plagianakos (CIBCB, 2019)

Deep Learning and Change Detection for Fall Recognition. - Sotiris K. Tasoulis; Georgios I. Mallis; Spiros V. Georgakopoulos; Aristidis G. Vrahatis; Vassilis P. Plagianakos; Ilias G. Maglogiannis (EANN, 2019)

Convolutional Neural Networks for Twitter Text Toxicity Analysis. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Vassilis P. Plagianakos (INNSBDDL, 2019)

Approximate kNN Classification for Biomedical Data. - Panagiotis Anagnostou; Petros T. Barbas; Aristidis G. Vrahatis; Sotiris K. Tasoulis (IEEE BigData, 2020)

On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning. - Kostas Delibasis; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (EANN, 2020)

Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data. - Aristidis G. Vrahatis; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (Inf., 2020)

Change detection and convolution neural networks for fall recognition. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Georgios I. Mallis; Aristidis G. Vrahatis; Vassilis P. Plagianakos; Ilias G. Maglogiannis (Neural Comput. Appl., 2020)

Nonlinear dimensionality reduction for clustering. - Sotiris K. Tasoulis; Nicos G. Pavlidis; Teemu Roos (Pattern Recognit., 2020)

Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis. - Aristidis G. Vrahatis; Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (Advanced Computational Intelligence in Healthcare (7), 2020)

RLAC: Random Line Approximation Clustering. - Petros T. Barbas; Aristidis G. Vrahatis; Sotiris K. Tasoulis (IEEE BigData, 2021)

Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data. - Ioannis L. Dallas; Aristidis G. Vrahatis; Sotiris K. Tasoulis; Vassilis P. Plagianakos (CIBB, 2021)

An Online Information Tool for Diabetic Retinopathy. - George Agriodimos; Parisis Gallos; Sotiris K. Tasoulis; Ioannis Anagnostopoulos (EFMI-STC, 2021)

Convolutional Variational Autoencoders for Image Clustering. - Ioannis A. Nellas; Sotiris K. Tasoulis; Vassilis P. Plagianakos (ICDM (Workshops), 2021)

Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm. - Konstantinos I. Chatzilygeroudis; Aristidis G. Vrahatis; Sotiris K. Tasoulis; Michael N. Vrahatis (LION, 2021)

Enhancing the Human Health Status Prediction: The ATHLOS Project. - Panagiotis Anagnostou; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Matthew Prina; José Luis Ayuso-Mateos; Joachim Bickenbach; I. Bayes-Marin; Francisco Félix Caballero; Laia Egea-Cortés; Esther García-Esquinas; Matilde Leonardi; et al. (Appl. Artif. Intell., 2021)

A Low Complexity Indoor Visible Light Positioning Method. - Aristeidis-Chrysovalantis Anastou; Konstantinos K. Delibasis; Alexandros-Apostolos A. Boulogeorgos; Harilaos G. Sandalidis; Alexander Vavoulas; Sotiris K. Tasoulis (IEEE Access, 2021)

Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. - Konstantinos Lazaros; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Vassilis P. Plagianakos (IEEE Big Data, 2022)

Text Analysis of COVID-19 Tweets. - Panagiotis C. Theocharopoulos; Anastasia Tsoukala; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (EANN, 2022)

Automated Recognition of healthy Anterior Cruciate Ligament in Sagittal MR images using Lightweight Deep Learning. - Athanasios Siouras; Serafeim P. Moustakidis; Archontis Giannakidis; Georgios Chalatsis; Konstantinos N. Malizos; Michael Hantes; Sotiris K. Tasoulis; Dimitrios Tsaopoulos (IISA, 2022)

Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Serafeim P. Moustakidis; Dimitrios Tsaopoulos; Vassilis P. Plagianakos (IJCNN, 2022)

Atlantes: Automated Health Related & COVID-19 Data Management for Use in Predictive Models. - George Vangelatos; Haralampos Karanikas; Sotiris K. Tasoulis (MIE, 2022)

Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders. - Ioannis A. Nellas; Sotiris K. Tasoulis; Vassilis P. Plagianakos; Spiros V. Georgakopoulos (CoRR, 2022)

A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. - Petros Barmpas; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Panagiotis Anagnostou; Matthew Prina; José Luis Ayuso-Mateos; Jerome Bickenbach; Ivet Bayes; Martin Bobak; Francisco Félix Caballero; Somnath Chatterji; et al. (Health Inf. Sci. Syst., 2022)

Neural Networks Voting for Projection Based Ensemble Classifiers. - Panagiotis Anagnostou; Petros Barmpas; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IEEE Big Data, 2023)

Detection of Fake Generated Scientific Abstracts. - Panagiotis C. Theocharopoulos; Panagiotis Anagnostou; Anastasia Tsoukala; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (BigDataService, 2023)

Greek Hospital Data Mining and Analysis. - Maria Chintiroglou; Haralampos Karanikas; Sotiris K. Tasoulis (MIE, 2023)

Ensemble Clustering for Boundary Detection in High-Dimensional Data. - Panagiotis Anagnostou; Nicos G. Pavlidis; Sotiris K. Tasoulis (LOD (2), 2023)

HiPart: Hierarchical Divisive Clustering Toolbox. - Panagiotis Anagnostou; Sotiris K. Tasoulis; Vassilis P. Plagianakos; Dimitris K. Tasoulis (J. Open Source Softw., 2023)

Analysing sentiment change detection of Covid-19 tweets. - Panagiotis C. Theocharopoulos; Anastasia Tsoukala; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (Neural Comput. Appl., 2023)

Two phase cooperative learning for supervised dimensionality reduction. - Ioannis A. Nellas; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (Pattern Recognit., 2023)

Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification. - Petros Barmpas; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (CEC, 2024)

Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum. - Paraskevi V. Tsakmaki; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (CEC, 2024)

Leveraging Large Language Models for Information Extraction: Identifying microRNA - Gene Interactions in Biomedical Literature. - Steve Stavropoulos; Elissavet Zacharopoulou; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos; Artemis G. Hatzigeorgiou (CIBCB, 2024)

HCER: Hierarchical Clustering-Ensemble Regressor. - Petros Barmpas; Panagiotis Anagnostou; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (EANN, 2024)

Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum. - Paraskevi V. Tsakmaki; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (EANN, 2024)

Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis. - Athanasios Siouras; Serafeim P. Moustakidis; George Chalatsis; Tuan Aqeel Bohoran; Michael Hantes; Marianna Vlychou; Sotiris K. Tasoulis; Archontis Giannakidis; Dimitrios Tsaopoulos (Comput. Medical Imaging Graph., 2024)

Who Writes the Review, Human or AI? - Panagiotis C. Theocharopoulos; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (CoRR, 2024)

Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation. - Kalliopi-Maria Stathopoulou; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (Health Inf. Sci. Syst., 2024)