Spiros V. Georgakopoulos

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 39

Top Topics

Change Detection

Supervised Dimensionality Reduction

Ensemble Classification

Convolutional Neural Network

Top Venues

Neural Comput. Appl.

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)
Panagiotis N. Sakellariou, Spiros V. Georgakopoulos
Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning Methods. EANN (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)
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 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)
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)
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)
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, 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)
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)
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)
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)
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)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos
On-Line Fall Detection via Mobile Accelerometer Data. AIAI (2015)
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)
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)