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)

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)

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)

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)

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)

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)

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

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)

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)

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)

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)

Μέθοδοι υπολογιστικής νοημοσύνης για εφαρμογές σε περιβάλλοντα διάχυτης νοημοσύνης - Spiros V. Georgakopoulos (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)

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)

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)

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)

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)

Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning Methods. - Panagiotis N. Sakellariou; Spiros V. Georgakopoulos (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)

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