Vassilis P. Plagianakos

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 64

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)
Nikos Bessas, Eleni Tzanaki, Dionisios Vavougios, Vassilis P. Plagianakos
Implementing the Flipped Classroom Model in Science Lessons for Junior High School Students. Int. J. Emerg. Technol. Learn. 19 (3) (2024)
Eleni Tzanaki, Nikos Bessas, Dionisios Vavougios, Vassilis P. Plagianakos
An Interdisciplinary Educational Proposal in Junior High School: The Fractal Geometry in Science, Computer Science and Art Lessons. Int. J. Emerg. Technol. Learn. 19 (3) (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 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)
Lydia Negka, Angeliki Katsika, Georgios P. Spathoulas, Vassilis P. Plagianakos
ORIGAMI: A flexible state channels design for public blockchain systems. CoRR (2023)
Angeliki Katsika, Konstantinos Papageorgiou, Alexandros Fakis, Athanasios Kakarountas, Fotis Andritsopoulos, Vassilis P. Plagianakos, Georgios P. Spathoulas
Compressing Time Series Towards Lightweight Integrity Commitments. SEEDA-CECNSM (2023)
Angeliki Katsika, Konstantinos Papageorgiou, Alexandros Fakis, Vassilis P. Plagianakos, Georgios P. Spathoulas
An Efficient and Lightweight Commitment Scheme for IoT Data Streams. DCOSS-IoT (2023)
Kalliopi Tsiampa, Lili Zhu, Petros Spachos, Vassilis P. Plagianakos
Investigating Feasibility of Stress Detection from Social Media Content Through Wearables. GLOBECOM (2023)
Panagiotis Anagnostou, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
HiPart: Hierarchical Divisive Clustering Toolbox. J. Open Source Softw. 8 (83) (2023)
Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Neural Networks Voting for Projection Based Ensemble Classifiers. BigData (2023)
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)
Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Convolutional Variational Autoencoders for Image Clustering. ICDM (Workshops) (2021)
Konstantinos Karitis, Parisis Gallos, Ioannis S. Triantafyllou, Vassilis P. Plagianakos
Chios Hospital Information System Assessment. EFMI-STC (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)
George Kostikidis, Parisis Gallos, Ioannis S. Triantafyllou, Vassilis P. Plagianakos
Citizens' Opinions About a Digital Health Insurance Record. EFMI-STC (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)
Spiros V. Georgakopoulos, Parisis Gallos, Vassilis P. Plagianakos
How to Extract and Explore Big Data for Fraud Detection in the Healthcare Sector: The EOPYY Case Study. MIE (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)
Yannis Manolopoulos, Vassilis P. Plagianakos
Editorial. Int. J. Artif. Intell. Tools 28 (8) (2019)
Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Efficient Learning Rate Adaptation for Convolutional Neural Network Training. IJCNN (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)
Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters. Neural Comput. Appl. 31 (6) (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)
Kostas Delibasis, Ilias Maglogiannis, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos
Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification. ICANN (1) (2018)
Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos
Real Time Sentiment Change Detection of Twitter Data Streams. CoRR (2018)
Manolis Koubarakis, George A. Vouros, Georgios Chalkiadakis, Vassilis P. Plagianakos, Christos Tjortjis, Ergina Kavallieratou, Dimitris Vrakas, Nikolaos Mavridis, Georgios Petasis, Konstantinos Blekas, Anastasia Krithara
AI in Greece: The Case of Research on Linked Geospa al Data. AI Mag. 39 (2) (2018)
Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos
Real time vision-based measurements for quality control of industrial rods on a moving conveyor. Multim. Tools Appl. 77 (8) (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)
Dimitrios K. Iakovidis, Spiros V. Georgakopoulos, Michael Vasilakakis, Anastasios Koulaouzidis, Vassilis P. Plagianakos
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification. IEEE Trans. Medical Imaging 37 (10) (2018)
Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Kyriakos N. Sgarbas
Pathway analysis using XGBoost classification in Biomedical Data. SETN (2018)
Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
Pose recognition using convolutional neural networks on omni-directional images. Neurocomputing 280 (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)
Spiros V. Georgakopoulos, Vassilis P. Plagianakos
A Novel Adaptive Learning Rate Algorithm for Convolutional Neural Network Training. EANN (2017)
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 Martinez, 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
CrowdHEALTH: Holistic Health Records and Big Data Analytics for Health Policy Making and Personalized Health. ICIMTH (2017)
Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning. EANN (2017)
Konstantinos K. Delibasis, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos, Ilias Maglogiannis
Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images. Integr. Comput. Aided Eng. 23 (2) (2016)
Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images. AIAI (2016)
Konstantinos K. Delibasis, Ilias Maglogiannis, Vassilis P. Plagianakos
Silhouette labeling and tracking in calibrated omnidirectional video sequences. PETRA (2016)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos
Efficient change detection for high dimensional data streams. IEEE BigData (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)
Konstantinos K. Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
Estimation of Robot Position and Orientation Using a Stationary Fisheye Camera. Int. J. Artif. Intell. Tools 24 (6) (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)
Konstantinos K. Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
Refinement of human silhouette segmentation in omni-directional indoor videos. Comput. Vis. Image Underst. 128 (2014)
Vassilis P. Plagianakos
Unsupervised clustering and multi-optima evolutionary search. IEEE Congress on Evolutionary Computation (2014)
Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
Fish-Eye Camera Video Processing and Trajectory Estimation Using 3D Human Models. AIAI (2014)
Konstantinos K. Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
Pose Recognition in Indoor Environments using a Fisheye Camera and a Parametric Human Model. VISAPP (2) (2014)
Konstantinos K. Delibasis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos, Ilias Maglogiannis
Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images. AIAI (2014)
Vassilis P. Plagianakos
Multi-optima search using Differential Evolution and unsupervised clustering. IEEE Congress on Evolutionary Computation (2013)
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
Random direction divisive clustering. Pattern Recognit. Lett. 34 (2) (2013)
Konstantinos K. Delibasis, Theodosios Goudas, Vassilis P. Plagianakos, Ilias Maglogiannis
Fisheye camera modeling for human segmentation refinement in indoor videos. PETRA (2013)
Konstantinos K. Delibasis, Vassilis P. Plagianakos, Theodosios Goudas, Ilias Maglogiannis
Human segmentation and pose recognition in fish-eye video for assistive environments. BIBE (2013)
Konstantinos K. Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis
Real Time Indoor Robot Localization Using a Stationary Fisheye Camera. AIAI (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)
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. SETN (2012)
Sotiris K. Tasoulis, Dimitris K. Tasoulis, Vassilis P. Plagianakos
Clustering of High Dimensional Data Streams. SETN (2012)
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. IEEE Congress on Evolutionary Computation (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)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Multimodal optimization using niching differential evolution with index-based neighborhoods. IEEE Congress on Evolutionary Computation (2012)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach. Inf. Sci. 216 (2012)
Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. IEEE Trans. Evol. Comput. 15 (1) (2011)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Finding multiple global optima exploiting differential evolution's niching capability. SDE (2011)
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)
Vassilis Pigadas, Charalampos Doukas, Vassilis P. Plagianakos, Ilias Maglogiannis
Enabling constant monitoring of chronic patient using Android smart phones. PETRA (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)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms. Appl. Soft Comput. 10 (2) (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)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution. IEEE Congress on Evolutionary Computation (2010)
Sotiris K. Tasoulis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
Projection Based Clustering of Gene Expression Data. CIBB (2009)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Evolutionary adaptation of the differential evolution control parameters. IEEE Congress on Evolutionary Computation (2009)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. IEEE Congress on Evolutionary Computation (2008)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Non-monotone differential evolution. GECCO (2008)
Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Computational intelligence algorithms for risk-adjusted trading strategies. IEEE Congress on Evolutionary Computation (2007)
Nicos G. Pavlidis, Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
Computational Intelligence Methods for Financial Time Series Modeling. Int. J. Bifurc. Chaos 16 (7) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vassilis P. Plagianakos