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ORCIDSotiris K. Tasoulis
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2020 – today
- 2024
[j18]Athanasios Siouras, Serafeim P. Moustakidis, George Chalatsis, Tuan Aqeel Bohoran, Michael Hantes, Marianna Vlychou, Sotiris K. Tasoulis, Archontis Giannakidis, Dimitrios Tsaopoulos:
Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis. Comput. Medical Imaging Graph. 117: 102424 (2024)- [j17]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): 14 (2024) - [c46]Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification. CEC 2024: 1-8 - [c45]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: 1-8 - [c44]Steve Stavropoulos, Elissavet Zacharopoulou, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Artemis G. Hatzigeorgiou:
Leveraging Large Language Models for Information Extraction: Identifying microRNA - Gene Interactions in Biomedical Literature. CIBCB 2024: 1-7 - [c43]Petros Barmpas, Panagiotis Anagnostou, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
HCER: Hierarchical Clustering-Ensemble Regressor. EANN 2024: 369-378 - [c42]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: 544-557 - [i9]Panagiotis C. Theocharopoulos, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Who Writes the Review, Human or AI? CoRR abs/2405.20285 (2024) - 2023
- [j16]Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
HiPart: Hierarchical Divisive Clustering Toolbox. J. Open Source Softw. 8(83): 5024 (2023) - [j15]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): 21433-21443 (2023) - [j14]Ioannis A. Nellas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Two phase cooperative learning for supervised dimensionality reduction. Pattern Recognit. 144: 109871 (2023) - [c41]Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Neural Networks Voting for Projection Based Ensemble Classifiers. IEEE Big Data 2023: 4567-4574 - [c40]Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Detection of Fake Generated Scientific Abstracts. BigDataService 2023: 33-39 - [c39]Maria Chintiroglou, Haralampos Karanikas, Sotiris K. Tasoulis:
Greek Hospital Data Mining and Analysis. MIE 2023: 282-286 - [c38]Panagiotis Anagnostou, Nicos G. Pavlidis, Sotiris K. Tasoulis:
Ensemble Clustering for Boundary Detection in High-Dimensional Data. LOD (2) 2023: 324-333 - [i8]Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Detection of Fake Generated Scientific Abstracts. CoRR abs/2304.06148 (2023) - 2022
- [j13]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): 6 (2022) - [c37]Konstantinos Lazaros, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. IEEE Big Data 2022: 3891-3894 - [c36]Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Text Analysis of COVID-19 Tweets. EANN 2022: 517-528 - [c35]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: 1-8 - [c34]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: 1-9 - [c33]George Vangelatos, Haralampos Karanikas, Sotiris K. Tasoulis:
Atlantes: Automated Health Related & COVID-19 Data Management for Use in Predictive Models. MIE 2022: 659-663 - [i7]Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos:
Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders. CoRR abs/2208.12152 (2022) - [i6]Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
HiPart: Hierarchical Divisive Clustering Toolbox. CoRR abs/2209.08680 (2022) - 2021
- [j12]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:
Enhancing the Human Health Status Prediction: The ATHLOS Project. Appl. Artif. Intell. 35(11): 834-856 (2021) - [j11]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: 57658-57673 (2021) - [c32]Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis:
RLAC: Random Line Approximation Clustering. IEEE BigData 2021: 985-993 - [c31]Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data. CIBB 2021: 227-241 - [c30]George Agriodimos, Parisis Gallos, Sotiris K. Tasoulis, Ioannis Anagnostopoulos:
An Online Information Tool for Diabetic Retinopathy. EFMI-STC 2021: 167-168 - [c29]Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Convolutional Variational Autoencoders for Image Clustering. ICDM (Workshops) 2021: 695-702 - [c28]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: 66-79 - 2020
- [j10]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): 502 (2020) - [j9]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): 17245-17258 (2020) - [j8]Sotiris K. Tasoulis, Nicos G. Pavlidis, Teemu Roos:
Nonlinear dimensionality reduction for clustering. Pattern Recognit. 107: 107508 (2020) - [c27]Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis:
Approximate kNN Classification for Biomedical Data. IEEE BigData 2020: 3602-3607 - [c26]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: 377-388 - [p1]Aristidis G. Vrahatis, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos:
Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis. Advanced Computational Intelligence in Healthcare (7) 2020: 65-79 - [i5]Panagiotis Anagnostou, Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis:
Approximate kNN Classification for Biomedical Data. CoRR abs/2012.02149 (2020)
2010 – 2019
- 2019
- [c25]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: 846-849 - [c24]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: 2782-2789 - [c23]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: 1-7 - [c22]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: 1-6 - [c21]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: 262-273 - [c20]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Twitter Text Toxicity Analysis. INNSBDDL 2019: 370-379 - 2018
- [c19]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Biomedical Data Ensemble Classification using Random Projections. IEEE BigData 2018: 166-172 - [c18]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: 5448-5450 - [c17]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Real Time Sentiment Change Detection of Twitter Data Streams. INISTA 2018: 1-6 - [c16]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Toxic Comment Classification. SETN 2018: 35:1-35:6 - [i4]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Toxic Comment Classification. CoRR abs/1802.09957 (2018) - [i3]Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos:
Real Time Sentiment Change Detection of Twitter Data Streams. CoRR abs/1804.00482 (2018) - 2016
- [j7]Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis:
Minimum Density Hyperplanes. J. Mach. Learn. Res. 17: 156:1-156:33 (2016) - [j6]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): 219-233 (2016) - [c15]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: 881-888 - [c14]Yang Zhao, Sotiris K. Tasoulis, Teemu Roos:
Manifold Visualization via Short Walks. EuroVis (Short Papers) 2016: 85-89 - 2015
- [j5]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: 125-139 (2015) - [c13]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Efficient change detection for high dimensional data streams. IEEE BigData 2015: 2219-2222 - [c12]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos:
On-Line Fall Detection via Mobile Accelerometer Data. AIAI 2015: 103-112 - [c11]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: 251-254 - [i2]Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis:
Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier. CoRR abs/1507.04201 (2015) - [i1]Ville Hyvönen, Teemu Pitkänen, Sotiris K. Tasoulis, Liang Wang, Teemu Roos, Jukka Corander:
Fast k-NN search. CoRR abs/1509.06957 (2015) - 2014
- [j4]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): 313-329 (2014) - [c10]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: 675-682 - 2013
- [j3]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: 87-96 (2013) - [j2]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Random direction divisive clustering. Pattern Recognit. Lett. 34(2): 131-139 (2013) - [c9]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: 292-301 - 2012
- [c8]Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
Density based Projection Pursuit Clustering. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c7]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: 385-394 - [c6]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Clustering of High Dimensional Data Streams. SETN 2012: 223-230 - 2011
- [c5]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: 3720-3723 - [c4]Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos:
Independent Component Clustering for Skin Lesions Characterization. EANN/AIAI (2) 2011: 472-482 - 2010
- [j1]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Enhancing principal direction divisive clustering. Pattern Recognit. 43(10): 3391-3411 (2010) - [c3]Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos:
Evolutionary Principal Direction Divisive Partitioning. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c2]Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos:
Skin Lesions Characterisation Utilising Clustering Algorithms. SETN 2010: 243-253
2000 – 2009
- 2009
- [c1]Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
Projection Based Clustering of Gene Expression Data. CIBB 2009: 228-239
Coauthor Index
Ilias Maglogiannis
aka: Ilias G. Maglogiannis
aka: Ilias G. Maglogiannis
[j17] [c46] [c45] [c44] [c43] [c42] [i9] [j16] [j15] [j14] [c41] [c40] [i8] [j13] [c37] [c36] [c34] [i7] [i6] [j12] [c31] [c29] [j10] [j9] [c26] [p1] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i4] [i3] [j5] [c13] [c12] [j4] [j3] [j2] [c9] [c8] [c7] [c6] [c5] [c4] [j1] [c3] [c2] [c1]
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