Neural network training with constrained integer weights. - Vassilis P. Plagianakos; Michael N. Vrahatis (CEC, 1999)

Effective neural network training with a different learning rate for each weight. - George D. Magoulas; Vassilis P. Plagianakos; Michael N. Vrahatis (ICECS, 1999)

Nonmonotone learning rules for backpropagation networks. - Vassilis P. Plagianakos; George D. Magoulas; Michael N. Vrahatis (ICECS, 1999)

Sign-methods for training with imprecise error function and gradient values. - George D. Magoulas; Vassilis P. Plagianakos; Michael N. Vrahatis (IJCNN, 1999)

Convergence analysis of the Quickprop method. - Michael N. Vrahatis; George D. Magoulas; Vassilis P. Plagianakos (IJCNN, 1999)

Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. - George D. Magoulas; Vassilis P. Plagianakos; Michael N. Vrahatis (IJCNN (1), 2000)

Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights. - Vassilis P. Plagianakos; Michael N. Vrahatis (IJCNN (5), 2000)

Globally Convergent Modification of the Quickprop Method. - Michael N. Vrahatis; George D. Magoulas; Vassilis P. Plagianakos (Neural Process. Lett., 2000)

Parallel evolutionary training algorithms for "hardware-friendly" neural networks. - Vassilis P. Plagianakos; Michael N. Vrahatis (Nat. Comput., 2002)

Globally convergent algorithms with local learning rates. - George D. Magoulas; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Trans. Neural Networks, 2002)

Deterministic nonmonotone strategies for effective training of multilayer perceptrons. - Vassilis P. Plagianakos; George D. Magoulas; Michael N. Vrahatis (IEEE Trans. Neural Networks, 2002)

Vector evaluated differential evolution for multiobjective optimization. - Konstantinos E. Parsopoulos; Dimitris K. Tasoulis; Nicos G. Pavlidis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2004)

Parallel differential evolution. - Dimitris K. Tasoulis; Nicos G. Pavlidis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2004)

Online Neural Network Training for Automatic Ischemia Episode Detection. - Dimitris K. Tasoulis; Liviu Vladutu; Vassilis P. Plagianakos; Anastasios Bezerianos; Michael N. Vrahatis (ICAISC, 2004)

Neural network-based colonoscopic diagnosis using on-line learning and differential evolution. - George D. Magoulas; Vassilis P. Plagianakos; Michael N. Vrahatis (Appl. Soft Comput., 2004)

Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima. - Dimitris K. Tasoulis; Vassilis P. Plagianakos; Michael N. Vrahatis (Congress on Evolutionary Computation, 2005)

Spiking neural network training using evolutionary algorithms. - Nicos G. Pavlidis; O. K. Tasoulis; Vassilis P. Plagianakos; George Nikiforidis; Michael N. Vrahatis (IJCNN, 2005)

Computational intelligence techniques for acute leukemia gene expression data classification. - Vassilis P. Plagianakos; Dimitris K. Tasoulis; Michael N. Vrahatis (IJCNN, 2005)

Human Designed Vs. Genetically Programmed Differential Evolution Operators. - Nicos G. Pavlidis; Vassilis P. Plagianakos; Dimitris K. Tasoulis; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2006)

Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data. - Dimitris K. Tasoulis; Vassilis P. Plagianakos; Michael N. Vrahatis (AIAI, 2006)

Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. - Dimitris K. Tasoulis; Panagiota Spyridonos; Nicos G. Pavlidis; Vassilis P. Plagianakos; Panagiota Ravazoula; George Nikiforidis; Michael N. Vrahatis (Artif. Intell. Medicine, 2006)

Unsupervised clustering in mRNA expression profiles. - Dimitris K. Tasoulis; Vassilis P. Plagianakos; Michael N. Vrahatis (Comput. Biol. Medicine, 2006)

Distributed computing methodology for training neural networks in an image-guided diagnostic application. - Vassilis P. Plagianakos; George D. Magoulas; Michael N. Vrahatis (Comput. Methods Programs Biomed., 2006)

Computational Intelligence Methods for Financial Time Series Modeling. - Nicos G. Pavlidis; Dimitris K. Tasoulis; Vassilis P. Plagianakos; Michael N. Vrahatis (Int. J. Bifurc. Chaos, 2006)

Evolutionary training of hardware realizable multilayer perceptrons. - Vassilis P. Plagianakos; George D. Magoulas; Michael N. Vrahatis (Neural Comput. Appl., 2006)

Financial forecasting through unsupervised clustering and neural networks. - Nicos G. Pavlidis; Vassilis P. Plagianakos; Dimitris K. Tasoulis; Michael N. Vrahatis (Oper. Res., 2006)

Computational intelligence algorithms for risk-adjusted trading strategies. - Nicos G. Pavlidis; E. G. Pavlidis; Michael G. Epitropakis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2007)

Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. - Michael G. Epitropakis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2008)

Non-monotone differential evolution. - Michael G. Epitropakis; Vassilis P. Plagianakos; Michael N. Vrahatis (GECCO, 2008)

Computational Intelligence Algorithms and DNA Microarrays. - Dimitris K. Tasoulis; Vassilis P. Plagianakos; Michael N. Vrahatis (Computational Intelligence in Bioinformatics, 2008)

Evolutionary adaptation of the differential evolution control parameters. - Michael G. Epitropakis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2009)

Projection Based Clustering of Gene Expression Data. - Sotiris K. Tasoulis; Vassilis P. Plagianakos; Dimitris K. Tasoulis (CIBB, 2009)

Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution. - Michael G. Epitropakis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2010)

Evolutionary Principal Direction Divisive Partitioning. - Sotiris K. Tasoulis; Dimitris K. Tasoulis; Vassilis P. Plagianakos (IEEE Congress on Evolutionary Computation, 2010)

Skin Lesions Characterisation Utilising Clustering Algorithms. - Sotiris K. Tasoulis; Charalampos N. Doukas; Ilias Maglogiannis; Vassilis P. Plagianakos (SETN, 2010)

Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms. - Michael G. Epitropakis; Vassilis P. Plagianakos; Michael N. Vrahatis (Appl. Soft Comput., 2010)

Enhancing principal direction divisive clustering. - Sotiris K. Tasoulis; Dimitris K. Tasoulis; Vassilis P. Plagianakos (Pattern Recognit., 2010)

Statistical data mining of streaming motion data for fall detection in assistive environments. - Sotiris K. Tasoulis; Charalampos N. Doukas; Ilias Maglogiannis; Vassilis P. Plagianakos (EMBC, 2011)

Independent Component Clustering for Skin Lesions Characterization. - Sotiris K. Tasoulis; Charalampos N. Doukas; Ilias Maglogiannis; Vassilis P. Plagianakos (AIAI, 2011)

Enabling constant monitoring of chronic patient using Android smart phones. - Vassilis Pigadas; Charalampos Doukas; Vassilis P. Plagianakos; Ilias Maglogiannis (PETRA, 2011)

Finding multiple global optima exploiting differential evolution's niching capability. - Michael G. Epitropakis; Vassilis P. Plagianakos; Michael N. Vrahatis (SDE, 2011)

Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. - Michael G. Epitropakis; Dimitris K. Tasoulis; Nicos G. Pavlidis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Trans. Evol. Comput., 2011)

Multimodal optimization using niching differential evolution with index-based neighborhoods. - Michael G. Epitropakis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2012)

Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. - Michael G. Epitropakis; Dimitris K. Tasoulis; Nicos G. Pavlidis; Vassilis P. Plagianakos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2012)

Density based Projection Pursuit Clustering. - Sotiris K. Tasoulis; Michael G. Epitropakis; Vassilis P. Plagianakos; Dimitris K. Tasoulis (IEEE Congress on Evolutionary Computation, 2012)

Unsupervised Detection of Fibrosis in Microscopy Images Using Fractals and Fuzzy c-Means Clustering. - Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (AIAI (1), 2012)

Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. - Michael G. Epitropakis; Dimitris K. Tasoulis; Nicos G. Pavlidis; Vassilis P. Plagianakos; Michael N. Vrahatis (SETN, 2012)

Clustering of High Dimensional Data Streams. - Sotiris K. Tasoulis; Dimitris K. Tasoulis; Vassilis P. Plagianakos (SETN, 2012)

Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach. - Michael G. Epitropakis; Vassilis P. Plagianakos; Michael N. Vrahatis (Inf. Sci., 2012)

Human segmentation and pose recognition in fish-eye video for assistive environments. - Konstantinos K. Delibasis; Vassilis P. Plagianakos; Theodosios Goudas; Ilias Maglogiannis (BIBE, 2013)

Multi-optima search using Differential Evolution and unsupervised clustering. - Vassilis P. Plagianakos (IEEE Congress on Evolutionary Computation, 2013)

Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos; Ilias Maglogiannis (EANN (1), 2013)

Real Time Indoor Robot Localization Using a Stationary Fisheye Camera. - Konstantinos K. Delibasis; Vassilis P. Plagianakos; Ilias Maglogiannis (AIAI, 2013)

Fisheye camera modeling for human segmentation refinement in indoor videos. - Konstantinos K. Delibasis; Theodosios Goudas; Vassilis P. Plagianakos; Ilias Maglogiannis (PETRA, 2013)

Statistical data mining of streaming motion data for activity and fall recognition in assistive environments. - Sotiris K. Tasoulis; Charalampos N. Doukas; Vassilis P. Plagianakos; Ilias Maglogiannis (Neurocomputing, 2013)

Random direction divisive clustering. - Sotiris K. Tasoulis; Dimitris K. Tasoulis; Vassilis P. Plagianakos (Pattern Recognit. Lett., 2013)

Unsupervised clustering and multi-optima evolutionary search. - Vassilis P. Plagianakos (IEEE Congress on Evolutionary Computation, 2014)

Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images. - Konstantinos K. Delibasis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos; Ilias Maglogiannis (AIAI, 2014)

Fish-Eye Camera Video Processing and Trajectory Estimation Using 3D Human Models. - Konstantina Kottari; Kostas Delibasis; Vassilis P. Plagianakos; Ilias Maglogiannis (AIAI, 2014)

Pose Recognition in Indoor Environments using a Fisheye Camera and a Parametric Human Model. - Konstantinos K. Delibasis; Vassilis P. Plagianakos; Ilias Maglogiannis (VISAPP (2), 2014)

Fractal analysis and fuzzy c-means clustering for quantification of fibrotic microscopy images. - Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (Artif. Intell. Rev., 2014)

Refinement of human silhouette segmentation in omni-directional indoor videos. - Konstantinos K. Delibasis; Vassilis P. Plagianakos; Ilias Maglogiannis (Comput. Vis. Image Underst., 2014)

Efficient change detection for high dimensional data streams. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (IEEE BigData, 2015)

On-Line Fall Detection via Mobile Accelerometer Data. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (AIAI, 2015)

Estimation of Robot Position and Orientation Using a Stationary Fisheye Camera. - Konstantinos K. Delibasis; Vassilis P. Plagianakos; Ilias Maglogiannis (Int. J. Artif. Intell. Tools, 2015)

A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images. - Ilias Maglogiannis; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (Inf. Sci., 2015)

Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images. - Spiros V. Georgakopoulos; Konstantina Kottari; Kostas Delibasis; Vassilis P. Plagianakos; Ilias Maglogiannis (AIAI, 2016)

Silhouette labeling and tracking in calibrated omnidirectional video sequences. - Konstantinos K. Delibasis; Ilias Maglogiannis; Vassilis P. Plagianakos (PETRA, 2016)

Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images. - Konstantinos K. Delibasis; Spiros V. Georgakopoulos; Konstantina Kottari; Vassilis P. Plagianakos; Ilias Maglogiannis (Integr. Comput. Aided Eng., 2016)

Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning. - Spiros V. Georgakopoulos; Konstantina Kottari; Kostas Delibasis; Vassilis P. Plagianakos; Ilias Maglogiannis (EANN, 2017)

A Novel Adaptive Learning Rate Algorithm for Convolutional Neural Network Training. - Spiros V. Georgakopoulos; Vassilis P. Plagianakos (EANN, 2017)

CrowdHEALTH: Holistic Health Records and Big Data Analytics for Health Policy Making and Personalized Health. - 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; et al. (ICIMTH, 2017)

Biomedical Data Ensemble Classification using Random Projections. - Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IEEE BigData, 2018)

Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections. - Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IEEE BigData, 2018)

Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification. - Kostas Delibasis; Ilias Maglogiannis; Spiros V. Georgakopoulos; Konstantina Kottari; Vassilis P. Plagianakos (ICANN (1), 2018)

Real Time Sentiment Change Detection of Twitter Data Streams. - Sotiris K. Tasoulis; Aristidis G. Vrahatis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (INISTA, 2018)

Pathway analysis using XGBoost classification in Biomedical Data. - Georgios N. Dimitrakopoulos; Aristidis G. Vrahatis; Vassilis P. Plagianakos; Kyriakos N. Sgarbas (SETN, 2018)

Convolutional Neural Networks for Toxic Comment Classification. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Vassilis P. Plagianakos (SETN, 2018)

AI in Greece: The Case of Research on Linked Geospa al Data. - 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 Mag., 2018)

Pose recognition using convolutional neural networks on omni-directional images. - Spiros V. Georgakopoulos; Konstantina Kottari; Kostas Delibasis; Vassilis P. Plagianakos; Ilias Maglogiannis (Neurocomputing, 2018)

Real time vision-based measurements for quality control of industrial rods on a moving conveyor. - Konstantina Kottari; Kostas Delibasis; Vassilis P. Plagianakos (Multim. Tools Appl., 2018)

Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification. - Dimitrios K. Iakovidis; Spiros V. Georgakopoulos; Michael Vasilakakis; Anastasios Koulaouzidis; Vassilis P. Plagianakos (IEEE Trans. Medical Imaging, 2018)

Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces. - Aristidis G. Vrahatis; Georgios N. Dimitrakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (BIBE, 2019)

Single-cell regulatory network inference and clustering from high-dimensional sequencing data. - Aristidis G. Vrahatis; Georgios N. Dimitrakopoulos; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IEEE BigData, 2019)

A single-cell Systems Biology approach for disease-specific subpathway extraction. - Aristidis G. Vrahatis; Georgios N. Dimitrakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (CIBCB, 2019)

Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. - Aristidis G. Vrahatis; Sotiris K. Tasoulis; Georgios N. Dimitrakopoulos; Vassilis P. Plagianakos (CIBCB, 2019)

Deep Learning and Change Detection for Fall Recognition. - Sotiris K. Tasoulis; Georgios I. Mallis; Spiros V. Georgakopoulos; Aristidis G. Vrahatis; Vassilis P. Plagianakos; Ilias G. Maglogiannis (EANN, 2019)

Efficient Learning Rate Adaptation for Convolutional Neural Network Training. - Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IJCNN, 2019)

Convolutional Neural Networks for Twitter Text Toxicity Analysis. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Vassilis P. Plagianakos (INNSBDDL, 2019)

Editorial. - Yannis Manolopoulos; Vassilis P. Plagianakos (Int. J. Artif. Intell. Tools, 2019)

Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters. - Spiros V. Georgakopoulos; Konstantina Kottari; Kostas Delibasis; Vassilis P. Plagianakos; Ilias Maglogiannis (Neural Comput. Appl., 2019)

On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning. - Kostas Delibasis; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (EANN, 2020)

Citizens' Opinions About a Digital Health Insurance Record. - George Kostikidis; Parisis Gallos; Ioannis S. Triantafyllou; Vassilis P. Plagianakos (EFMI-STC, 2020)

How to Extract and Explore Big Data for Fraud Detection in the Healthcare Sector: The EOPYY Case Study. - Spiros V. Georgakopoulos; Parisis Gallos; Vassilis P. Plagianakos (MIE, 2020)

Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data. - Aristidis G. Vrahatis; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (Inf., 2020)

Change detection and convolution neural networks for fall recognition. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Georgios I. Mallis; Aristidis G. Vrahatis; Vassilis P. Plagianakos; Ilias G. Maglogiannis (Neural Comput. Appl., 2020)

Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis. - Aristidis G. Vrahatis; Sotiris K. Tasoulis; Ilias Maglogiannis; Vassilis P. Plagianakos (Advanced Computational Intelligence in Healthcare (7), 2020)

Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data. - Ioannis L. Dallas; Aristidis G. Vrahatis; Sotiris K. Tasoulis; Vassilis P. Plagianakos (CIBB, 2021)

Chios Hospital Information System Assessment. - Konstantinos Karitis; Parisis Gallos; Ioannis S. Triantafyllou; Vassilis P. Plagianakos (EFMI-STC, 2021)

Convolutional Variational Autoencoders for Image Clustering. - Ioannis A. Nellas; Sotiris K. Tasoulis; Vassilis P. Plagianakos (ICDM (Workshops), 2021)

Enhancing the Human Health Status Prediction: The ATHLOS Project. - 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; et al. (Appl. Artif. Intell., 2021)

Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. - Konstantinos Lazaros; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Vassilis P. Plagianakos (IEEE Big Data, 2022)

Text Analysis of COVID-19 Tweets. - Panagiotis C. Theocharopoulos; Anastasia Tsoukala; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (EANN, 2022)

Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Serafeim P. Moustakidis; Dimitrios Tsaopoulos; Vassilis P. Plagianakos (IJCNN, 2022)

Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders. - Ioannis A. Nellas; Sotiris K. Tasoulis; Vassilis P. Plagianakos; Spiros V. Georgakopoulos (CoRR, 2022)

A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. - 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; et al. (Health Inf. Sci. Syst., 2022)

Neural Networks Voting for Projection Based Ensemble Classifiers. - Panagiotis Anagnostou; Petros Barmpas; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (IEEE Big Data, 2023)

Detection of Fake Generated Scientific Abstracts. - Panagiotis C. Theocharopoulos; Panagiotis Anagnostou; Anastasia Tsoukala; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (BigDataService, 2023)

An Efficient and Lightweight Commitment Scheme for IoT Data Streams. - Angeliki Katsika; Konstantinos Papageorgiou; Alexandros Fakis; Vassilis P. Plagianakos; Georgios P. Spathoulas (DCOSS-IoT, 2023)

Investigating Feasibility of Stress Detection from Social Media Content Through Wearables. - Kalliopi Tsiampa; Lili Zhu; Petros Spachos; Vassilis P. Plagianakos (GLOBECOM, 2023)

Compressing Time Series Towards Lightweight Integrity Commitments. - Angeliki Katsika; Konstantinos Papageorgiou; Alexandros Fakis; Athanasios Kakarountas; Fotis Andritsopoulos; Vassilis P. Plagianakos; Georgios P. Spathoulas (SEEDA-CECNSM, 2023)

ORIGAMI: A flexible state channels design for public blockchain systems. - Lydia Negka; Angeliki Katsika; Georgios P. Spathoulas; Vassilis P. Plagianakos (CoRR, 2023)

HiPart: Hierarchical Divisive Clustering Toolbox. - Panagiotis Anagnostou; Sotiris K. Tasoulis; Vassilis P. Plagianakos; Dimitris K. Tasoulis (J. Open Source Softw., 2023)

Analysing sentiment change detection of Covid-19 tweets. - Panagiotis C. Theocharopoulos; Anastasia Tsoukala; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (Neural Comput. Appl., 2023)

Two phase cooperative learning for supervised dimensionality reduction. - Ioannis A. Nellas; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (Pattern Recognit., 2023)

Hyperdimensional Computing Approaches in Single Cell RNA Sequencing Classification. - Petros Barmpas; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (CEC, 2024)

Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum. - Paraskevi V. Tsakmaki; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (CEC, 2024)

Leveraging Large Language Models for Information Extraction: Identifying microRNA - Gene Interactions in Biomedical Literature. - Steve Stavropoulos; Elissavet Zacharopoulou; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos; Artemis G. Hatzigeorgiou (CIBCB, 2024)

HCER: Hierarchical Clustering-Ensemble Regressor. - Petros Barmpas; Panagiotis Anagnostou; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (EANN, 2024)

Machine Learning-Driven Improvements in HRV Artifact Correction for Psychosis Prediction in the Schizophrenia Spectrum. - Paraskevi V. Tsakmaki; Sotiris K. Tasoulis; Spiros V. Georgakopoulos; Vassilis P. Plagianakos (EANN, 2024)

SocialNetView: Optimization of Wireless Communication for Social Media Interaction. - Petros Spachos; Vassilis P. Plagianakos (ICC, 2024)

Who Writes the Review, Human or AI? - Panagiotis C. Theocharopoulos; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (CoRR, 2024)

Inquiring Students' Alternative Conceptions about Floating and Sinking Objects. - Nikos Bessas; Eleni Tzanaki; Denis Vavougios; Vassilis P. Plagianakos (Int. J. Eng. Pedagog., 2024)

Implementing the Flipped Classroom Model in Science Lessons for Junior High School Students. - Nikos Bessas; Eleni Tzanaki; Dionisios Vavougios; Vassilis P. Plagianakos (Int. J. Emerg. Technol. Learn., 2024)

An Interdisciplinary Educational Proposal in Junior High School: The Fractal Geometry in Science, Computer Science and Art Lessons. - Eleni Tzanaki; Nikos Bessas; Dionisios Vavougios; Vassilis P. Plagianakos (Int. J. Emerg. Technol. Learn., 2024)

Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation. - Kalliopi-Maria Stathopoulou; Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Vassilis P. Plagianakos (Health Inf. Sci. Syst., 2024)