Sotiris K. Tasoulis

82 papers B 7C 12Misc 2Journal 33Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Binary black hole parameter estimation with hybrid CNN-Transformer Neural Networks. Astron. Comput. Panagiotis N. Sakellariou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2026	J	`jnl`	Boosting neural network performance for high dimensional data through random projections. Pattern Recognit. Lett. Panagiotis Anagnostou, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2025	J	`jnl`	Correction: Large language models for efficient topic modeling. Neural Comput. Appl. Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2025	J	`jnl`	Efficient Hybrid Hierarchical Clustering with Incremental Silhouette Score for Large, Noisy Datasets. Int. J. Neural Syst. Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos
2025	C	`conf`	Enhancing Machine Learning Models for Medical Coding: Diagnostic Codes Mapping and Synthetic Clinical Notes. CIBCB Aikaterini Bilioni, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2025	J	`jnl`	Large language models for efficient topic modeling. Neural Comput. Appl. Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2025	J	`jnl`	Reducing Artifact Preprocessing in Heart Rate Variability-Based Personalized Psychosis Prediction Using Adaptive Long Short-Term Memory Models. Int. J. Neural Syst. Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2025	C	`conf`	Short-term impacts of weather conditions on biomarkers among urban adults in Greece. CIBCB Katerina Tsiaktani, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, John A. Gittings, Dionysios E. Raitsos, Athanasia Sergounioti, Vassilis P. Plagianakos
2024	J	`jnl`	Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis. Comput. Medical Imaging Graph. Athanasios Siouras, Serafeim P. Moustakidis, George Chalatsis, Tuan Aqeel Bohoran, Michael Hantes, Marianna Vlychou, Sotiris K. Tasoulis, Archontis Giannakidis, Dimitrios Tsaopoulos
2024	C	`conf`	HCER: Hierarchical Clustering-Ensemble Regressor. EANN Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2024	B	`conf`	Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum. CEC Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2024	B	`conf`	Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification. CEC Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2024	J	`jnl`	Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation. Health Inf. Sci. Syst. Kalliopi-Maria Stathopoulou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2024	C	`conf`	Leveraging Large Language Models for Information Extraction: Identifying microRNA - Gene Interactions in Biomedical Literature. CIBCB Steve Stavropoulos, Elissavet Zacharopoulou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Artemis G. Hatzigeorgiou
2024	C	`conf`	Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum. EANN Paraskevi V. Tsakmaki, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2024	J	`jnl`	Who Writes the Review, Human or AI? CoRR Panagiotis C. Theocharopoulos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2023	J	`jnl`	Analysing sentiment change detection of Covid-19 tweets. Neural Comput. Appl. Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2023	—	`conf`	Detection of Fake Generated Scientific Abstracts. BigDataService Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2023	J	`jnl`	Detection of Fake Generated Scientific Abstracts. CoRR Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2023	—	`conf`	Ensemble Clustering for Boundary Detection in High-Dimensional Data. LOD (2) Panagiotis Anagnostou, Nicos G. Pavlidis, Sotiris K. Tasoulis
2023	—	`conf`	Greek Hospital Data Mining and Analysis. MIE Maria Chintiroglou, Haralampos Karanikas, Sotiris K. Tasoulis
2023	J	`jnl`	HiPart: Hierarchical Divisive Clustering Toolbox. J. Open Source Softw. Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
2023	B	`conf`	Neural Networks Voting for Projection Based Ensemble Classifiers. IEEE Big Data Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2023	J	`jnl`	Two phase cooperative learning for supervised dimensionality reduction. Pattern Recognit. Ioannis A. Nellas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2022	J	`jnl`	A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. Health Inf. Sci. Syst. 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
2022	—	`conf`	Atlantes: Automated Health Related & COVID-19 Data Management for Use in Predictive Models. MIE George Vangelatos, Haralampos Karanikas, Sotiris K. Tasoulis
2022	—	`conf`	Automated Recognition of healthy Anterior Cruciate Ligament in Sagittal MR images using Lightweight Deep Learning. IISA Athanasios Siouras, Serafeim P. Moustakidis, Archontis Giannakidis, Georgios Chalatsis, Konstantinos N. Malizos, Michael Hantes, Sotiris K. Tasoulis, Dimitrios Tsaopoulos
2022	B	`conf`	Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. IJCNN Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos
2022	B	`conf`	Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. IEEE Big Data Konstantinos Lazaros, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
2022	J	`jnl`	HiPart: Hierarchical Divisive Clustering Toolbox. CoRR Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
2022	J	`jnl`	Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders. CoRR Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos
2022	C	`conf`	Text Analysis of COVID-19 Tweets. EANN Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2021	J	`jnl`	A Low Complexity Indoor Visible Light Positioning Method. IEEE Access Aristeidis-Chrysovalantis Anastou, Konstantinos K. Delibasis, Alexandros-Apostolos A. Boulogeorgos, Harilaos G. Sandalidis, Alexander Vavoulas, Sotiris K. Tasoulis
2021	—	`conf`	An Online Information Tool for Diabetic Retinopathy. EFMI-STC George Agriodimos, Parisis Gallos, Sotiris K. Tasoulis, Ioannis Anagnostopoulos
2021	—	`conf`	Convolutional Variational Autoencoders for Image Clustering. ICDM (Workshops) Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2021	J	`jnl`	Enhancing the Human Health Status Prediction: The ATHLOS Project. Appl. Artif. Intell. 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
2021	—	`conf`	Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm. LION Konstantinos I. Chatzilygeroudis, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Michael N. Vrahatis
2021	—	`conf`	RLAC: Random Line Approximation Clustering. IEEE BigData Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
2021	—	`conf`	Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data. CIBB Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2020	—	`conf`	Approximate kNN Classification for Biomedical Data. IEEE BigData Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
2020	J	`jnl`	Approximate kNN Classification for Biomedical Data. CoRR Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis
2020	J	`jnl`	Change detection and convolution neural networks for fall recognition. Neural Comput. Appl. Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Georgios I. Mallis, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis
2020	J	`jnl`	Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data. Inf. Aristidis G. Vrahatis, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2020	J	`jnl`	Nonlinear dimensionality reduction for clustering. Pattern Recognit. Sotiris K. Tasoulis, Nicos G. Pavlidis, Teemu Roos
2020	C	`conf`	On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning. EANN Kostas Delibasis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
2020	—	`ch.`	Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis. Advanced Computational Intelligence in Healthcare (7) Aristidis G. Vrahatis, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
2019	C	`conf`	A single-cell Systems Biology approach for disease-specific subpathway extraction. CIBCB Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2019	—	`conf`	Convolutional Neural Networks for Twitter Text Toxicity Analysis. INNSBDDL Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
2019	C	`conf`	Deep Learning and Change Detection for Fall Recognition. EANN Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis
2019	C	`conf`	Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces. BIBE Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2019	—	`conf`	Single-cell regulatory network inference and clustering from high-dimensional sequencing data. IEEE BigData Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2019	C	`conf`	Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. CIBCB Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos, Vassilis P. Plagianakos
2018	—	`conf`	Biomedical Data Ensemble Classification using Random Projections. IEEE BigData Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2018	—	`conf`	Convolutional Neural Networks for Toxic Comment Classification. SETN Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
2018	J	`jnl`	Convolutional Neural Networks for Toxic Comment Classification. CoRR Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
2018	C	`conf`	Real Time Sentiment Change Detection of Twitter Data Streams. INISTA Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2018	J	`jnl`	Real Time Sentiment Change Detection of Twitter Data Streams. CoRR Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2018	—	`conf`	Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections. IEEE BigData Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2016	—	`conf`	Fast nearest neighbor search through sparse random projections and voting. IEEE BigData Ville Hyvönen, Teemu Pitkänen, Sotiris K. Tasoulis, Elias Jaasaari, Risto Tuomainen, Liang Wang, Jukka Corander, Teemu Roos
2016	J	`jnl`	Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework. IEEE Trans. Big Data Liang Wang, Sotiris K. Tasoulis, Teemu Roos, Jussi Kangasharju
2016	—	`conf`	Manifold Visualization via Short Walks. EuroVis (Short Papers) Yang Zhao, Sotiris K. Tasoulis, Teemu Roos
2016	J	`jnl`	Minimum Density Hyperplanes. J. Mach. Learn. Res. Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
2015	J	`jnl`	A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images. Inf. Sci. Ilias Maglogiannis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2015	—	`conf`	Efficient change detection for high dimensional data streams. IEEE BigData Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
2015	J	`jnl`	Fast k-NN search. CoRR Ville Hyvönen, Teemu Pitkänen, Sotiris K. Tasoulis, Liang Wang, Teemu Roos, Jukka Corander
2015	—	`conf`	Kvasir: Seamless Integration of Latent Semantic Analysis-Based Content Provision into Web Browsing. WWW (Companion Volume) Liang Wang, Sotiris K. Tasoulis, Teemu Roos, Jussi Kangasharju
2015	J	`jnl`	Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier. CoRR Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
2015	Misc	`conf`	On-Line Fall Detection via Mobile Accelerometer Data. AIAI Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
2014	J	`jnl`	Fractal analysis and fuzzy c-means clustering for quantification of fibrotic microscopy images. Artif. Intell. Rev. Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
2014	—	`conf`	Random projection based clustering for population genomics. IEEE BigData Sotiris K. Tasoulis, Lu Cheng, Niko Välimäki, Nicholas J. Croucher, Simon R. Harris, William P. Hanage, Teemu Roos, Jukka Corander
2013	—	`conf`	Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images. EANN (1) Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Ilias Maglogiannis
2013	J	`jnl`	Random direction divisive clustering. Pattern Recognit. Lett. Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
2013	J	`jnl`	Statistical data mining of streaming motion data for activity and fall recognition in assistive environments. Neurocomputing Sotiris K. Tasoulis, Charalampos N. Doukas, Vassilis P. Plagianakos, Ilias Maglogiannis
2012	—	`conf`	Clustering of High Dimensional Data Streams. SETN Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
2012	B	`conf`	Density based Projection Pursuit Clustering. IEEE Congress on Evolutionary Computation Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
2012	—	`conf`	Unsupervised Detection of Fibrosis in Microscopy Images Using Fractals and Fuzzy c-Means Clustering. AIAI (1) Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
2011	Misc	`conf`	Independent Component Clustering for Skin Lesions Characterization. AIAI Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos
2011	—	`conf`	Statistical data mining of streaming motion data for fall detection in assistive environments. EMBC Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos
2010	J	`jnl`	Enhancing principal direction divisive clustering. Pattern Recognit. Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
2010	B	`conf`	Evolutionary Principal Direction Divisive Partitioning. IEEE Congress on Evolutionary Computation Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
2010	—	`conf`	Skin Lesions Characterisation Utilising Clustering Algorithms. SETN Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos
2009	—	`conf`	Projection Based Clustering of Gene Expression Data. CIBB Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis