Vassilis P. Plagianakos

143 papers A 1B 26C 15Misc 9Journal 52Unranked 35
YearRankTypeTitle / 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 — conf
Krikri: Advancing Open Large Language Models for Greek.
EMNLP (Findings)
Dimitris Roussis, Leon Voukoutis, Georgios Paraskevopoulos, Sokratis Sofianopoulos, Prokopis Prokopidis, Vassilis P. Plagianakos, Athanasios Katsamanis, Stelios Piperidis, Vassilis Katsouros
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
An Interdisciplinary Educational Proposal in Junior High School: The Fractal Geometry in Science, Computer Science and Art Lessons.
Int. J. Emerg. Technol. Learn.
Eleni Tzanaki, Nikos Bessas, Dionisios Vavougios, Vassilis P. Plagianakos
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
Implementing the Flipped Classroom Model in Science Lessons for Junior High School Students.
Int. J. Emerg. Technol. Learn.
Nikos Bessas, Eleni Tzanaki, Dionisios Vavougios, Vassilis P. Plagianakos
2024 J jnl
Inquiring Students' Alternative Conceptions about Floating and Sinking Objects.
Int. J. Eng. Pedagog.
Nikos Bessas, Eleni Tzanaki, Denis Vavougios, 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 — conf
SocialNetView: Optimization of Wireless Communication for Social Media Interaction.
ICC
Petros Spachos, 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 — conf
An Efficient and Lightweight Commitment Scheme for IoT Data Streams.
DCOSS-IoT
Angeliki Katsika, Konstantinos Papageorgiou, Alexandros Fakis, Vassilis P. Plagianakos, Georgios P. Spathoulas
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
Compressing Time Series Towards Lightweight Integrity Commitments.
SEEDA-CECNSM
Angeliki Katsika, Konstantinos Papageorgiou, Alexandros Fakis, Athanasios Kakarountas, Fotis Andritsopoulos, Vassilis P. Plagianakos, Georgios P. Spathoulas
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 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
Investigating Feasibility of Stress Detection from Social Media Content Through Wearables.
GLOBECOM
Kalliopi Tsiampa, Lili Zhu, Petros Spachos, Vassilis P. Plagianakos
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
ORIGAMI: A flexible state channels design for public blockchain systems.
CoRR
Lydia Negka, Angeliki Katsika, Georgios P. Spathoulas, 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 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 — conf
Chios Hospital Information System Assessment.
EFMI-STC
Konstantinos Karitis, Parisis Gallos, Ioannis S. Triantafyllou, Vassilis P. Plagianakos
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
Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data.
CIBB
Ioannis L. Dallas, Aristidis G. Vrahatis, Sotiris K. Tasoulis, Vassilis P. Plagianakos
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 — conf
Citizens' Opinions About a Digital Health Insurance Record.
EFMI-STC
George Kostikidis, Parisis Gallos, Ioannis S. Triantafyllou, Vassilis P. Plagianakos
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 — conf
How to Extract and Explore Big Data for Fraud Detection in the Healthcare Sector: The EOPYY Case Study.
MIE
Spiros V. Georgakopoulos, Parisis Gallos, Vassilis P. Plagianakos
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 J jnl
Editorial.
Int. J. Artif. Intell. Tools
Yannis Manolopoulos, Vassilis P. Plagianakos
2019 B conf
Efficient Learning Rate Adaptation for Convolutional Neural Network Training.
IJCNN
Spiros V. Georgakopoulos, Vassilis P. Plagianakos
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 J jnl
Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters.
Neural Comput. Appl.
Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
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 J jnl
AI in Greece: The Case of Research on Linked Geospa al Data.
AI Mag.
Manolis Koubarakis, George A. Vouros, Georgios Chalkiadakis, Vassilis P. Plagianakos, Christos Tjortjis, Ergina Kavallieratou, Dimitris Vrakas, Nikolaos Mavridis, Georgios Petasis, Konstantinos Blekas, Anastasia Krithara
2018 Misc ed.
Artificial Intelligence Applications and Innovations - 14th IFIP WG 12.5 International Conference, AIAI 2018, Rhodes, Greece, May 25-27, 2018, Proceedings
AIAI
Lazaros S. Iliadis, Ilias Maglogiannis, Vassilis P. Plagianakos
2018 — ed.
Artificial Intelligence Applications and Innovations - AIAI 2018 IFIP WG 12.5 International Workshops, SEDSEAL, 5G-PINE, MHDW, and HEALTHIOT, Rhodes, Greece, May 25-27, 2018, Proceedings
AIAI (Workshops)
Lazaros S. Iliadis, Ilias Maglogiannis, Vassilis P. Plagianakos
2018 — conf
Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification.
ICANN (1)
Kostas Delibasis, Ilias Maglogiannis, Spiros V. Georgakopoulos, Konstantina Kottari, 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 J jnl
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification.
IEEE Trans. Medical Imaging
Dimitrios K. Iakovidis, Spiros V. Georgakopoulos, Michael Vasilakakis, Anastasios Koulaouzidis, Vassilis P. Plagianakos
2018 — conf
Pathway analysis using XGBoost classification in Biomedical Data.
SETN
Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Kyriakos N. Sgarbas
2018 J jnl
Pose recognition using convolutional neural networks on omni-directional images.
Neurocomputing
Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
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 J jnl
Real time vision-based measurements for quality control of industrial rods on a moving conveyor.
Multim. Tools Appl.
Konstantina Kottari, Kostas Delibasis, 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
2017 C conf
A Novel Adaptive Learning Rate Algorithm for Convolutional Neural Network Training.
EANN
Spiros V. Georgakopoulos, Vassilis P. Plagianakos
2017 — conf
CrowdHEALTH: Holistic Health Records and Big Data Analytics for Health Policy Making and Personalized Health.
ICIMTH
Dimosthenis Kyriazis, Serge Autexier, Ivan Brondino, Michael J. Boniface, Lucas Donat, Vegard Engen, Rafael Fernandez, Ricardo Jiménez-Peris, Blanca Jordan, Gregor Jurak, Athanasios Kiourtis, Thanos Kosmidis, Mitja Lustrek, Ilias Maglogiannis, John Mantas, Antonio Martínez, Argyro Mavrogiorgou, Andreas Menychtas, Lydia Montandon, Cosmin-Septimiu Nechifor, Sokratis Nifakos, Alexandra Papageorgiou, Marta Patiño-Martínez, Manuel Perez, Vassilis P. Plagianakos, Dalibor Stanimirovic, Gregor Starc, Tanja Tomson, Francesco Torelli, Vicente Traver Salcedo, George Vassilacopoulos, Usman Wajid
2017 C conf
Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning.
EANN
Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
2017 — ed.
Proceedings of the 21st Pan-Hellenic Conference on Informatics, Larissa, Greece, September 28-30, 2017
PCI
Vasileios Vlachos, Ilias K. Savvas, Cleo Sgouropoulou, Vassilis P. Plagianakos, Christos Douligeris, Ioannis Voyiatzis, Vassilis Tampakas, George Soultis
2016 Misc conf
Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images.
AIAI
Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
2016 J jnl
Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images.
Integr. Comput. Aided Eng.
Konstantinos K. Delibasis, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos, Ilias Maglogiannis
2016 — conf
Silhouette labeling and tracking in calibrated omnidirectional video sequences.
PETRA
Konstantinos K. Delibasis, Ilias Maglogiannis, Vassilis P. Plagianakos
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
Estimation of Robot Position and Orientation Using a Stationary Fisheye Camera.
Int. J. Artif. Intell. Tools
Konstantinos K. Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
2015 Misc conf
On-Line Fall Detection via Mobile Accelerometer Data.
AIAI
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
2014 Misc conf
Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images.
AIAI
Konstantinos K. Delibasis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos, Ilias Maglogiannis
2014 Misc conf
Fish-Eye Camera Video Processing and Trajectory Estimation Using 3D Human Models.
AIAI
Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
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
Pose Recognition in Indoor Environments using a Fisheye Camera and a Parametric Human Model.
VISAPP (2)
Konstantinos K. Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
2014 J jnl
Refinement of human silhouette segmentation in omni-directional indoor videos.
Comput. Vis. Image Underst.
Konstantinos K. Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
2014 B conf
Unsupervised clustering and multi-optima evolutionary search.
IEEE Congress on Evolutionary Computation
Vassilis P. Plagianakos
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 — conf
Fisheye camera modeling for human segmentation refinement in indoor videos.
PETRA
Konstantinos K. Delibasis, Theodosios Goudas, Vassilis P. Plagianakos, Ilias Maglogiannis
2013 C conf
Human segmentation and pose recognition in fish-eye video for assistive environments.
BIBE
Konstantinos K. Delibasis, Vassilis P. Plagianakos, Theodosios Goudas, Ilias Maglogiannis
2013 B conf
Multi-optima search using Differential Evolution and unsupervised clustering.
IEEE Congress on Evolutionary Computation
Vassilis P. Plagianakos
2013 J jnl
Random direction divisive clustering.
Pattern Recognit. Lett.
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
2013 Misc conf
Real Time Indoor Robot Localization Using a Stationary Fisheye Camera.
AIAI
Konstantinos K. Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
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 — ed.
Artificial Intelligence: Theories and Applications - 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012. Proceedings
SETN
Ilias Maglogiannis, Vassilis P. Plagianakos, Ioannis P. Vlahavas
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 J jnl
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach.
Inf. Sci.
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2012 B conf
Multimodal optimization using niching differential evolution with index-based neighborhoods.
IEEE Congress on Evolutionary Computation
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2012 — conf
Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting.
SETN
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2012 B conf
Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting.
IEEE Congress on Evolutionary Computation
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
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 — conf
Enabling constant monitoring of chronic patient using Android smart phones.
PETRA
Vassilis Pigadas, Charalampos Doukas, Vassilis P. Plagianakos, Ilias Maglogiannis
2011 J jnl
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators.
IEEE Trans. Evol. Comput.
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2011 — conf
Finding multiple global optima exploiting differential evolution's niching capability.
SDE
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
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 B conf
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution.
IEEE Congress on Evolutionary Computation
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2010 J jnl
Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms.
Appl. Soft Comput.
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2010 — conf
Skin Lesions Characterisation Utilising Clustering Algorithms.
SETN
Sotiris K. Tasoulis, Charalampos N. Doukas, Ilias Maglogiannis, Vassilis P. Plagianakos
2009 B conf
Evolutionary adaptation of the differential evolution control parameters.
IEEE Congress on Evolutionary Computation
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2009 — conf
Projection Based Clustering of Gene Expression Data.
CIBB
Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
2008 B conf
Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm.
IEEE Congress on Evolutionary Computation
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2008 — ch.
Computational Intelligence Algorithms and DNA Microarrays.
Computational Intelligence in Bioinformatics
Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2008 A conf
Non-monotone differential evolution.
GECCO
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2007 B conf
Computational intelligence algorithms for risk-adjusted trading strategies.
IEEE Congress on Evolutionary Computation
Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
2006 J jnl
Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence.
Artif. Intell. Medicine
Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis
2006 J jnl
Computational Intelligence Methods for Financial Time Series Modeling.
Int. J. Bifurc. Chaos
Nicos G. Pavlidis, Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2006 Misc conf
Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data.
AIAI
Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2006 J jnl
Distributed computing methodology for training neural networks in an image-guided diagnostic application.
Comput. Methods Programs Biomed.
Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
2006 J jnl
Evolutionary training of hardware realizable multilayer perceptrons.
Neural Comput. Appl.
Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
2006 J jnl
Financial forecasting through unsupervised clustering and neural networks.
Oper. Res.
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
2006 B conf
Human Designed Vs. Genetically Programmed Differential Evolution Operators.
IEEE Congress on Evolutionary Computation
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
2006 J jnl
Unsupervised clustering in mRNA expression profiles.
Comput. Biol. Medicine
Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2005 B conf
Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima.
Congress on Evolutionary Computation
Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
2005 B conf
Computational intelligence techniques for acute leukemia gene expression data classification.
IJCNN
Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis
2005 B conf
Spiking neural network training using evolutionary algorithms.
IJCNN
Nicos G. Pavlidis, O. K. Tasoulis, Vassilis P. Plagianakos, George Nikiforidis, Michael N. Vrahatis
2004 J jnl
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution.
Appl. Soft Comput.
George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
2004 Misc conf
Online Neural Network Training for Automatic Ischemia Episode Detection.
ICAISC
Dimitris K. Tasoulis, Liviu Vladutu, Vassilis P. Plagianakos, Anastasios Bezerianos, Michael N. Vrahatis
2004 B conf
Parallel differential evolution.
IEEE Congress on Evolutionary Computation
Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2004 B conf
Vector evaluated differential evolution for multiobjective optimization.
IEEE Congress on Evolutionary Computation
Konstantinos E. Parsopoulos, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
2002 J jnl
Deterministic nonmonotone strategies for effective training of multilayer perceptrons.
IEEE Trans. Neural Networks
Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
2002 J jnl
Globally convergent algorithms with local learning rates.
IEEE Trans. Neural Networks
George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
2002 J jnl
Parallel evolutionary training algorithms for "hardware-friendly" neural networks.
Nat. Comput.
Vassilis P. Plagianakos, Michael N. Vrahatis
2000 — conf
Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation.
IJCNN (1)
George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
2000 J jnl
Globally Convergent Modification of the Quickprop Method.
Neural Process. Lett.
Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos
2000 — conf
Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights.
IJCNN (5)
Vassilis P. Plagianakos, Michael N. Vrahatis
1999 B conf
Convergence analysis of the Quickprop method.
IJCNN
Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos
1999 — conf
Effective neural network training with a different learning rate for each weight.
ICECS
George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
1999 B conf
Neural network training with constrained integer weights.
CEC
Vassilis P. Plagianakos, Michael N. Vrahatis
1999 — conf
Nonmonotone learning rules for backpropagation networks.
ICECS
Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
1999 B conf
Sign-methods for training with imprecise error function and gradient values.
IJCNN
George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis