Sotiris K. Tasoulis

According to our database, Sotiris K. Tasoulis authored at least 69 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2024

Who Writes the Review, Human or AI?

Panagiotis C. Theocharopoulos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

CoRR, 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

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

Proceedings of the Engineering Applications of Neural Networks, 2024

HCER: Hierarchical Clustering-Ensemble Regressor.

Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the Engineering Applications of Neural Networks, 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

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum.

Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification.

Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Two phase cooperative learning for supervised dimensionality reduction.

Ioannis A. Nellas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Pattern Recognit., December, 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., October, 2023

HiPart: Hierarchical Divisive Clustering Toolbox.

Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis

J. Open Source Softw., March, 2023

Ensemble Clustering for Boundary Detection in High-Dimensional Data.

Panagiotis Anagnostou, Nicos G. Pavlidis, Sotiris K. Tasoulis

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Greek Hospital Data Mining and Analysis.

Maria Chintiroglou, Haralampos Karanikas, Sotiris K. Tasoulis

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Detection of Fake Generated Scientific Abstracts.

Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

Neural Networks Voting for Projection Based Ensemble Classifiers.

Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the IEEE International Conference on Big Data, 2023

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, Laia Egea-Cortés, Esther García-Esquinas, Matilde Leonardi, Seppo Koskinen, Ilona Koupil, Andrzej Pajak, Martin Prince, Warren Sanderson, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, Albert Sanchez-Niubo, Vassilis P. Plagianakos, Demosthenes Panagiotakos

Health Inf. Sci. Syst., 2022

Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders.

Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos

CoRR, 2022

Atlantes: Automated Health Related & COVID-19 Data Management for Use in Predictive Models.

George Vangelatos, Haralampos Karanikas, Sotiris K. Tasoulis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 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

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the 13th International Conference on Information, 2022

Text Analysis of COVID-19 Tweets.

Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the Engineering Applications of Neural Networks, 2022

Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques.

Konstantinos Lazaros, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos

Proceedings of the IEEE International Conference on Big Data, 2022

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

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, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, A. Sánchez-Martínez, Vassilis P. Plagianakos, Demosthenes Panagiotakos

Appl. Artif. Intell., 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

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Convolutional Variational Autoencoders for Image Clustering.

Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the 2021 International Conference on Data Mining, 2021

An Online Information Tool for Diabetic Retinopathy.

George Agriodimos, Parisis Gallos, Sotiris K. Tasoulis, Ioannis Anagnostopoulos

Proceedings of the Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 2021

Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data.

Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2021

RLAC: Random Line Approximation Clustering.

Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

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

Aristidis G. Vrahatis, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos

Proceedings of the Advanced Computational Intelligence in Healthcare - 7, 2020

Nonlinear dimensionality reduction for clustering.

Sotiris K. Tasoulis, Nicos G. Pavlidis, Teemu Roos

Pattern Recognit., 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

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

On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning.

Kostas Delibasis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

Approximate kNN Classification for Biomedical Data.

Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Convolutional Neural Networks for Twitter Text Toxicity Analysis.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos

Proceedings of the Recent Advances in Big Data and Deep Learning, 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

Proceedings of the Engineering Applications of Neural Networks, 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

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

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

Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

Convolutional Neural Networks for Toxic Comment Classification.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Real Time Sentiment Change Detection of Twitter Data Streams.

Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 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

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Biomedical Data Ensemble Classification using Random Projections.

Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

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

Liang Wang, Sotiris K. Tasoulis, Teemu Roos, Jussi Kangasharju

IEEE Trans. Big Data, 2016

Minimum Density Hyperplanes.

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

J. Mach. Learn. Res., 2016

Manifold Visualization via Short Walks.

Yang Zhao, Sotiris K. Tasoulis, Teemu Roos

Proceedings of the 18th Eurographics Conference on Visualization, 2016

Fast nearest neighbor search through sparse random projections and voting.

Ville Hyvönen, Teemu Pitkänen, Sotiris K. Tasoulis, Elias Jaasaari, Risto Tuomainen, Liang Wang, Jukka Corander, Teemu Roos

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

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

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

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

CoRR, 2015

Fast k-NN search.

Ville Hyvönen, Teemu Pitkänen, Sotiris K. Tasoulis, Liang Wang, Teemu Roos, Jukka Corander

CoRR, 2015

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

Liang Wang, Sotiris K. Tasoulis, Teemu Roos, Jussi Kangasharju

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

On-Line Fall Detection via Mobile Accelerometer Data.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos

Proceedings of the Artificial Intelligence Applications and Innovations, 2015

Efficient change detection for high dimensional data streams.

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

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

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

Random projection based clustering for population genomics.

Sotiris K. Tasoulis, Lu Cheng, Niko Välimäki, Nicholas J. Croucher, Simon R. Harris, William P. Hanage, Teemu Roos, Jukka Corander

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Random direction divisive clustering.

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

Pattern Recognit. Lett., 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

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

Proceedings of the Engineering Applications of Neural Networks, 2013

2012

Clustering of High Dimensional Data Streams.

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

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

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

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

Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Density based Projection Pursuit Clustering.

Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Independent Component Clustering for Skin Lesions Characterization.

Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos

Proceedings of the Artificial Intelligence Applications and Innovations, 2011

Statistical data mining of streaming motion data for fall detection in assistive environments.

Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Enhancing principal direction divisive clustering.

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

Pattern Recognit., 2010

Skin Lesions Characterisation Utilising Clustering Algorithms.

Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos

Proceedings of the Artificial Intelligence: Theories, 2010

Evolutionary Principal Direction Divisive Partitioning.

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Projection Based Clustering of Gene Expression Data.

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

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009