Spiros V. Georgakopoulos

According to our database, Spiros V. Georgakopoulos authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2024

2023

Two phase cooperative learning for supervised dimensionality reduction.

Ioannis A. Nellas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Pattern Recognit., December, 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., October, 2023

Detection of Fake Generated Scientific Abstracts.

Panagiotis C. Theocharopoulos, Panagiotis Anagnostou, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023

Neural Networks Voting for Projection Based Ensemble Classifiers.

Panagiotis Anagnostou, Petros Barmpas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

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.

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

Health Inf. Sci. Syst., 2022

Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders.

Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos

CoRR, 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

Proceedings of the International Joint Conference on Neural Networks, 2022

Text Analysis of COVID-19 Tweets.

Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the Engineering Applications of Neural Networks, 2022

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, Sergei Scherbov, Abdonas Tamosiunas, Aleksander Galas, Josep Maria Haro, A. Sánchez-Martínez, Vassilis P. Plagianakos, Demosthenes Panagiotakos

Appl. Artif. Intell., 2021

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

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

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

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning.

Kostas Delibasis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019

Μέθοδοι υπολογιστικής νοημοσύνης για εφαρμογές σε περιβάλλοντα διάχυτης νοημοσύνης

Spiros V. Georgakopoulos

PhD thesis, 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

Convolutional Neural Networks for Twitter Text Toxicity Analysis.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Efficient Learning Rate Adaptation for Convolutional Neural Network Training.

Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the Engineering Applications of Neural Networks, 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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

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

Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis

Neurocomputing, 2018

Convolutional Neural Networks for Toxic Comment Classification.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Real Time Sentiment Change Detection of Twitter Data Streams.

Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

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.

Kostas Delibasis, Ilias Maglogiannis, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 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

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Biomedical Data Ensemble Classification using Random Projections.

Sotiris K. Tasoulis, Aristidis G. Vrahatis, Spiros V. Georgakopoulos, Vassilis P. Plagianakos

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.

Spiros V. Georgakopoulos, Vassilis P. Plagianakos

Proceedings of the Engineering Applications of Neural Networks, 2017

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

Proceedings of the Engineering Applications of Neural Networks, 2017

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

Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images.

Spiros V. Georgakopoulos, Konstantina Kottari, Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis

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.

Ilias Maglogiannis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Inf. Sci., 2015

On-Line Fall Detection via Mobile Accelerometer Data.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos

Proceedings of the Artificial Intelligence Applications and Innovations, 2015

Efficient change detection for high dimensional data streams.

Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

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

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

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

Proceedings of the Engineering Applications of Neural Networks, 2013