Sotiris K. Tasoulis

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 51

Top Topics

Change Detection

Ensemble Classification

Top Venues

Publications

Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum. CEC (2024)
Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum. EANN (2024)
Kalliopi-Maria Stathopoulou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation. Health Inf. Sci. Syst. 12 (1) (2024)
Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification. CEC (2024)
Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
HCER: Hierarchical Clustering-Ensemble Regressor. EANN (2024)
Panagiotis C. Theocharopoulos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Who Writes the Review, Human or AI? CoRR (2024)
Panagiotis Anagnostou, Nicos G. Pavlidis, Sotiris K. Tasoulis
Ensemble Clustering for Boundary Detection in High-Dimensional Data. LOD (2) (2023)
Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Analysing sentiment change detection of Covid-19 tweets. Neural Comput. Appl. 35 (29) (2023)
Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Detection of Fake Generated Scientific Abstracts. BigDataService (2023)
Ioannis A. Nellas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Two phase cooperative learning for supervised dimensionality reduction. Pattern Recognit. 144 (2023)
Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Detection of Fake Generated Scientific Abstracts. CoRR (2023)
Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
HiPart: Hierarchical Divisive Clustering Toolbox. J. Open Source Softw. 8 (83) (2023)
Maria Chintiroglou, Haralampos Karanikas, Sotiris K. Tasoulis
Greek Hospital Data Mining and Analysis. MIE (2023)
Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Neural Networks Voting for Projection Based Ensemble Classifiers. BigData (2023)
Athanasios Siouras, Serafeim P. Moustakidis, Archontis Giannakidis, Georgios Chalatsis, Konstantinos N. Malizos, Michael Hantes, Sotiris K. Tasoulis, Dimitrios Tsaopoulos
Automated Recognition of healthy Anterior Cruciate Ligament in Sagittal MR images using Lightweight Deep Learning. IISA (2022)
Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos
Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders. CoRR (2022)
Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
HiPart: Hierarchical Divisive Clustering Toolbox. CoRR (2022)
Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Text Analysis of COVID-19 Tweets. EANN (2022)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos
Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. IJCNN (2022)
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
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. Health Inf. Sci. Syst. 10 (1) (2022)
Lazaros K, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. Big Data (2022)
George Vangelatos, Haralampos Karanikas, Sotiris K. Tasoulis
Atlantes: Automated Health Related & COVID-19 Data Management for Use in Predictive Models. MIE (2022)
George Agriodimos, Parisis Gallos, Sotiris K. Tasoulis, Ioannis Anagnostopoulos
An Online Information Tool for Diabetic Retinopathy. EFMI-STC (2021)
Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Convolutional Variational Autoencoders for Image Clustering. ICDM (Workshops) (2021)
Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data. CIBB (2021)
Panagiotis Anagnostou, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, M. Prina, Jose L. Ayuso-Mateos, Joachim Bickenbach, I. Bayes-Marin, F. F. Caballero, L. Egea-Cortés, E. García-Esquinas, M. Leonardi, S. Scherbov, A. Tamosiunas, A. Galas, Josep Maria Haro, A. Sánchez-Martínez, Vassilis P. Plagianakos, D. Panagiotakos
Enhancing the Human Health Status Prediction: The ATHLOS Project. Appl. Artif. Intell. 35 (11) (2021)
Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
RLAC: Random Line Approximation Clustering. IEEE BigData (2021)
Aristeidis-Chrysovalantis Anastou, Konstantinos K. Delibasis, Alexandros-Apostolos A. Boulogeorgos, Harilaos G. Sandalidis, Alexander Vavoulas, Sotiris K. Tasoulis
A Low Complexity Indoor Visible Light Positioning Method. IEEE Access 9 (2021)
Konstantinos I. Chatzilygeroudis, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Michael N. Vrahatis
Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm. LION (2021)
Sotiris K. Tasoulis, Nicos G. Pavlidis, Teemu Roos
Nonlinear dimensionality reduction for clustering. Pattern Recognit. 107 (2020)
Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
Approximate kNN Classification for Biomedical Data. CoRR (2020)
Aristidis G. Vrahatis, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data. Inf. 11 (11) (2020)
Kostas Delibasis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning. EANN (2020)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Georgios I. Mallis, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis
Change detection and convolution neural networks for fall recognition. Neural Comput. Appl. 32 (23) (2020)
Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
Approximate kNN Classification for Biomedical Data. IEEE BigData (2020)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
Convolutional Neural Networks for Twitter Text Toxicity Analysis. INNSBDDL (2019)
Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos, Vassilis P. Plagianakos
Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. CIBCB (2019)
Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
A single-cell Systems Biology approach for disease-specific subpathway extraction. CIBCB (2019)
Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces. BIBE (2019)
Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Single-cell regulatory network inference and clustering from high-dimensional sequencing data. IEEE BigData (2019)
Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis
Deep Learning and Change Detection for Fall Recognition. EANN (2019)
Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Biomedical Data Ensemble Classification using Random Projections. IEEE BigData (2018)
Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Real Time Sentiment Change Detection of Twitter Data Streams. CoRR (2018)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
Convolutional Neural Networks for Toxic Comment Classification. SETN (2018)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
Convolutional Neural Networks for Toxic Comment Classification. CoRR (2018)
Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Real Time Sentiment Change Detection of Twitter Data Streams. INISTA (2018)
Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections. IEEE BigData (2018)
Ville Hyvönen, Teemu Pitkänen, Sotiris K. Tasoulis, Elias Jaasaari, Risto Tuomainen, Liang Wang, Jukka Corander, Teemu Roos
Fast nearest neighbor search through sparse random projections and voting. IEEE BigData (2016)
Liang Wang, Sotiris K. Tasoulis, Teemu Roos, Jussi Kangasharju
Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework. IEEE Trans. Big Data 2 (3) (2016)
Yang Zhao, Sotiris K. Tasoulis, Teemu Roos
Manifold Visualization via Short Walks. EuroVis (Short Papers) (2016)
Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
Minimum Density Hyperplanes. J. Mach. Learn. Res. 17 (2016)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Efficient change detection for high dimensional data streams. IEEE BigData (2015)
Ville Hyvönen, Teemu Pitkänen, Sotiris K. Tasoulis, Liang Wang, Teemu Roos, Jukka Corander
Fast k-NN search. CoRR (2015)
Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier. CoRR (2015)
Liang Wang, Sotiris K. Tasoulis, Teemu Roos, Jussi Kangasharju
Kvasir: Seamless Integration of Latent Semantic Analysis-Based Content Provision into Web Browsing. WWW (Companion Volume) (2015)
Ilias Maglogiannis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images. Inf. Sci. 308 (2015)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
On-Line Fall Detection via Mobile Accelerometer Data. AIAI (2015)
Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
Fractal analysis and fuzzy c-means clustering for quantification of fibrotic microscopy images. Artif. Intell. Rev. 42 (3) (2014)
Sotiris K. Tasoulis, Lu Cheng, Niko Välimäki, Nicholas J. Croucher, Simon R. Harris, William P. Hanage, Teemu Roos, Jukka Corander
Random projection based clustering for population genomics. IEEE BigData (2014)
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
Random direction divisive clustering. Pattern Recognit. Lett. 34 (2) (2013)
Sotiris K. Tasoulis, Charalampos N. Doukas, Vassilis P. Plagianakos, Ilias Maglogiannis
Statistical data mining of streaming motion data for activity and fall recognition in assistive environments. Neurocomputing 107 (2013)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Ilias Maglogiannis
Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images. EANN (1) (2013)
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
Clustering of High Dimensional Data Streams. SETN (2012)
Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
Density based Projection Pursuit Clustering. IEEE Congress on Evolutionary Computation (2012)
Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
Unsupervised Detection of Fibrosis in Microscopy Images Using Fractals and Fuzzy c-Means Clustering. AIAI (1) (2012)
Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos
Statistical data mining of streaming motion data for fall detection in assistive environments. EMBC (2011)
Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos
Independent Component Clustering for Skin Lesions Characterization. EANN/AIAI (2) (2011)
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
Enhancing principal direction divisive clustering. Pattern Recognit. 43 (10) (2010)
Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos
Skin Lesions Characterisation Utilising Clustering Algorithms. SETN (2010)
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
Evolutionary Principal Direction Divisive Partitioning. IEEE Congress on Evolutionary Computation (2010)
Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
Projection Based Clustering of Gene Expression Data. CIBB (2009)