Vassilis P. Plagianakos

Orcid: 0000-0002-4266-701X

According to our database1, Vassilis P. Plagianakos authored at least 115 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2024
Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation.
Health Inf. Sci. Syst., December, 2024

An Interdisciplinary Educational Proposal in Junior High School: The Fractal Geometry in Science, Computer Science and Art Lessons.
Int. J. Emerg. Technol. Learn., February, 2024

Implementing the Flipped Classroom Model in Science Lessons for Junior High School Students.
Int. J. Emerg. Technol. Learn., February, 2024

2023
Two phase cooperative learning for supervised dimensionality reduction.
Pattern Recognit., December, 2023

Analysing sentiment change detection of Covid-19 tweets.
Neural Comput. Appl., October, 2023

HiPart: Hierarchical Divisive Clustering Toolbox.
J. Open Source Softw., March, 2023

ORIGAMI: A flexible state channels design for public blockchain systems.
CoRR, 2023

Compressing Time Series Towards Lightweight Integrity Commitments.
Proceedings of the 8th South-East Europe Design Automation, 2023

Investigating Feasibility of Stress Detection from Social Media Content Through Wearables.
Proceedings of the IEEE Global Communications Conference, 2023

Detection of Fake Generated Scientific Abstracts.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

Neural Networks Voting for Projection Based Ensemble Classifiers.
Proceedings of the IEEE International Conference on Big Data, 2023

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

Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders.
CoRR, 2022

Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring.
Proceedings of the International Joint Conference on Neural Networks, 2022

Text Analysis of COVID-19 Tweets.
Proceedings of the Engineering Applications of Neural Networks, 2022

Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Enhancing the Human Health Status Prediction: The ATHLOS Project.
Appl. Artif. Intell., 2021

Convolutional Variational Autoencoders for Image Clustering.
Proceedings of the 2021 International Conference on Data Mining, 2021

Chios Hospital Information System Assessment.
Proceedings of the Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 2021

Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2021

2020
Recent Machine Learning Approaches for Single-Cell RNA-seq Data Analysis.
Proceedings of the Advanced Computational Intelligence in Healthcare - 7, 2020

Change detection and convolution neural networks for fall recognition.
Neural Comput. Appl., 2020

Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data.
Inf., 2020

How to Extract and Explore Big Data for Fraud Detection in the Healthcare Sector: The EOPYY Case Study.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Citizens' Opinions About a Digital Health Insurance Record.
Proceedings of the Integrated Citizen Centered Digital Health and Social Care - Citizens as Data Producers and Service co-Creators, 2020

On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters.
Neural Comput. Appl., 2019

Editorial.
Int. J. Artif. Intell. Tools, 2019

Convolutional Neural Networks for Twitter Text Toxicity Analysis.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Efficient Learning Rate Adaptation for Convolutional Neural Network Training.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Learning and Change Detection for Fall Recognition.
Proceedings of the Engineering Applications of Neural Networks, 2019

Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

A single-cell Systems Biology approach for disease-specific subpathway extraction.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

Single-cell regulatory network inference and clustering from high-dimensional sequencing data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification.
IEEE Trans. Medical Imaging, 2018

Real time vision-based measurements for quality control of industrial rods on a moving conveyor.
Multim. Tools Appl., 2018

Pose recognition using convolutional neural networks on omni-directional images.
Neurocomputing, 2018

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

Convolutional Neural Networks for Toxic Comment Classification.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Pathway analysis using XGBoost classification in Biomedical Data.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Real Time Sentiment Change Detection of Twitter Data Streams.
Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Biomedical Data Ensemble Classification using Random Projections.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

A Novel Adaptive Learning Rate Algorithm for Convolutional Neural Network Training.
Proceedings of the Engineering Applications of Neural Networks, 2017

Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images.
Integr. Comput. Aided Eng., 2016

Silhouette labeling and tracking in calibrated omnidirectional video sequences.
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016

Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

2015
A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images.
Inf. Sci., 2015

Estimation of Robot Position and Orientation Using a Stationary Fisheye Camera.
Int. J. Artif. Intell. Tools, 2015

On-Line Fall Detection via Mobile Accelerometer Data.
Proceedings of the Artificial Intelligence Applications and Innovations, 2015

Efficient change detection for high dimensional data streams.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Refinement of human silhouette segmentation in omni-directional indoor videos.
Comput. Vis. Image Underst., 2014

Fractal analysis and fuzzy c-means clustering for quantification of fibrotic microscopy images.
Artif. Intell. Rev., 2014

Pose Recognition in Indoor Environments using a Fisheye Camera and a Parametric Human Model.
Proceedings of the VISAPP 2014, 2014

Fish-Eye Camera Video Processing and Trajectory Estimation Using 3D Human Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Unsupervised clustering and multi-optima evolutionary search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Random direction divisive clustering.
Pattern Recognit. Lett., 2013

Statistical data mining of streaming motion data for activity and fall recognition in assistive environments.
Neurocomputing, 2013

Fisheye camera modeling for human segmentation refinement in indoor videos.
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013

Real Time Indoor Robot Localization Using a Stationary Fisheye Camera.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images.
Proceedings of the Engineering Applications of Neural Networks, 2013

Multi-optima search using Differential Evolution and unsupervised clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Human segmentation and pose recognition in fish-eye video for assistive environments.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach.
Inf. Sci., 2012

Clustering of High Dimensional Data Streams.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012

Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012

Unsupervised Detection of Fibrosis in Microscopy Images Using Fractals and Fuzzy c-Means Clustering.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Density based Projection Pursuit Clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Multimodal optimization using niching differential evolution with index-based neighborhoods.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators.
IEEE Trans. Evol. Comput., 2011

Finding multiple global optima exploiting differential evolution's niching capability.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

Enabling constant monitoring of chronic patient using Android smart phones.
Proceedings of the PETRA 2011, 2011

Independent Component Clustering for Skin Lesions Characterization.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

Statistical data mining of streaming motion data for fall detection in assistive environments.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Enhancing principal direction divisive clustering.
Pattern Recognit., 2010

Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms.
Appl. Soft Comput., 2010

Skin Lesions Characterisation Utilising Clustering Algorithms.
Proceedings of the Artificial Intelligence: Theories, 2010

Evolutionary Principal Direction Divisive Partitioning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Projection Based Clustering of Gene Expression Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

Evolutionary adaptation of the differential evolution control parameters.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Computational Intelligence Algorithms and DNA Microarrays.
Proceedings of the Computational Intelligence in Bioinformatics, 2008

Non-monotone differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Computational intelligence algorithms for risk-adjusted trading strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Financial forecasting through unsupervised clustering and neural networks.
Oper. Res., 2006

Evolutionary training of hardware realizable multilayer perceptrons.
Neural Comput. Appl., 2006

Computational Intelligence Methods for Financial Time Series Modeling.
Int. J. Bifurc. Chaos, 2006

Distributed computing methodology for training neural networks in an image-guided diagnostic application.
Comput. Methods Programs Biomed., 2006

Unsupervised clustering in mRNA expression profiles.
Comput. Biol. Medicine, 2006

Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence.
Artif. Intell. Medicine, 2006

Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data.
Proceedings of the Artificial Intelligence Applications and Innovations, 2006

Human Designed Vs. Genetically Programmed Differential Evolution Operators.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution.
Appl. Soft Comput., 2004

Online Neural Network Training for Automatic Ischemia Episode Detection.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Parallel differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Vector evaluated differential evolution for multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2002
Deterministic nonmonotone strategies for effective training of multilayer perceptrons.
IEEE Trans. Neural Networks, 2002

Globally convergent algorithms with local learning rates.
IEEE Trans. Neural Networks, 2002

Parallel evolutionary training algorithms for "hardware-friendly" neural networks.
Nat. Comput., 2002

2000
Globally Convergent Modification of the Quickprop Method.
Neural Process. Lett., 2000

Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Convergence analysis of the Quickprop method.
Proceedings of the International Joint Conference Neural Networks, 1999

Sign-methods for training with imprecise error function and gradient values.
Proceedings of the International Joint Conference Neural Networks, 1999

Nonmonotone learning rules for backpropagation networks.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999

Effective neural network training with a different learning rate for each weight.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999

Neural network training with constrained integer weights.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999


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