Eleni I. Georga

34 papers C 6Journal 9Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multimodal Deep Learning Architecture for Estimating Quality of Life for Advanced Cancer Patients Based on Wearable Devices and Patient-Reported Outcome Measures. IEEE J. Biomed. Health Informatics Muhammad Salman Haleem, Vassilios Aidonis, Eleni I. Georga, Maria Krini, Maria Matsangidou, Angelos P. Kassianos, Constantinos S. Pattichis, Miguel Rujas, Laura Lopez-Perez, Giuseppe Fico, Leandro Pecchia, Dimitrios I. Fotiadis, Gatekeeper Consortium
2026	J	`jnl`	A Secure and Interoperable Big Data Platform for AI-Driven Healthcare Solutions: Insights From the GATEKEEPER Project. IEEE Access Christian Temporale, Edmondo De Salvo, Eugenio Gaeta, Miguel Rujas, Laura Lopez-Perez, Muhammad Salman Haleem, Vassilios Aidonis, Eleni I. Georga, Dimitrios I. Fotiadis, Leandro Pecchia, Giuseppe Fico
2026	J	`jnl`	The Use of Machine Learning and Explainable Artificial Intelligence in Gut Microbiome Research: A Scoping Review. IEEE J. Biomed. Health Informatics Hania Tourab, Laura Lopez-Perez, Peña Arroyo-Gallego, Eleni I. Georga, Miguel Rujas, Francesca Romana Ponziani, Macarena Torrego Ellacuría, Beatriz Merino-Barbancho, Neri Niccolò Dei, Gastone Ciuti, Dimitrios I. Fotiadis, Antonio Gasbarrini, María Fernanda Cabrera-Umpiérrez, María Teresa Arredondo, Giuseppe Fico
2025	J	`jnl`	Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling. BMC Medical Informatics Decis. Mak. Daphne N. Katsarou, Eleni I. Georga, Maria A. Christou, Panagiota A. Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis
2025	J	`jnl`	Synthetic Data Blueprint (SDB): A modular framework for the statistical, structural, and graph-based evaluation of synthetic tabular data. CoRR Vasileios C. Pezoulas, Nikolaos S. Tachos, Eleni I. Georga, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis
2024	—	`conf`	Glucose Prediction Using Population-based Models and Genetic Data in Type 1 Diabetes Patients. EMBC Daphne N. Katsarou, Eleni I. Georga, Prodromos Sakaloglou, Maria A. Christou, Ioannis Georgiou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis
2024	—	`conf`	MedDietAgent: An AI-based Mobile App for Harmonizing Individuals' Dietary Choices with the Mediterranean Diet Pattern. EMBC Fotios S. Konstantakopoulos, Michail Sfakianos, Eleni I. Georga, Konstantinos I. Mavrokotas, Daphne N. Katsarou, Konstantinos Chalatsis, Charalambos Zapadiotis, Anastasia Panousi, Sifis Plimakis, Sofia Eleftheriou, Anastasia Kanellou, Dimitrios I. Fotiadis
2024	J	`jnl`	Statistical and machine learning methods for cancer research and clinical practice: A systematic review. Biomed. Signal Process. Control. Laura Lopez-Perez, Eleni I. Georga, Carlo Conti, Victor Vicente, Rebeca García, Leandro Pecchia, Dimitrios I. Fotiadis, Lisa Licitra, María Fernanda Cabrera, María Teresa Arredondo, Giuseppe Fico
2023	C	`conf`	Personalized Clustering of Glucose Time Series in Patients with Type-1 Diabetes Mellitus Using Self Organized Maps During Nocturnal Sleep. BIBE Fotios S. Konstantakopoulos, Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Dimitrios I. Fotiadis
2023	—	`conf`	Weight Estimation of Mediterranean Food Images using Random Forest Regression Algorithm. EMBC Fotios S. Konstantakopoulos, Eleni I. Georga, Nikolaos S. Tachos, Dimitrios I. Fotiadis
2022	—	`conf`	An Exploratory Study of the Value of Vital Signs on the Short-Term Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes - The GlucoseML Study. PervasiveHealth Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis
2022	—	`conf`	GlucoseML Mobile Application for Automated Dietary Assessment of Mediterranean Food. EMBC Fotis Konstantakopoulos, Eleni I. Georga, Kostis E. Tzanettis, Konstantinos A. Kokkinopoulos, Stefanos K. Raptis, Klearchos A. Michaloglou, Dimitrios I. Fotiadis
2022	—	`conf`	Multiclass Semantic Segmentation of Mediterranean Food Images. PervasiveHealth Fotios S. Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis
2022	—	`conf`	Short Term Glucose Prediction in Patients with Type 1 Diabetes Mellitus. EMBC Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis
2021	C	`conf`	3D Reconstruction and Volume Estimation of Food using Stereo Vision Techniques. BIBE Fotis Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis
2021	—	`conf`	Mediterranean Food Image Recognition Using Deep Convolutional Networks. EMBC Fotis Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis
2020	—	`conf`	A Dynamic Bayesian Network Approach to Behavioral Modelling of Elderly People during a Home-based Augmented Reality Balance Physiotherapy Programme. EMBC Eleni I. Georga, Dimitrios A. Gatsios, Vassilios D. Tsakanikas, Konstantina D. Kourou, Matthew Liston, Marousa Pavlou, Dimitrios Kikidis, Athanasios Bibas, Christos Nikitas, Doris Eva Bamiou, Dimitrios I. Fotiadis
2020	—	`conf`	Site specific prediction of PCI stenting based on imaging and biomechanics data using gradient boosting tree ensembles. EMBC Vassiliki I. Kigka, Antonis I. Sakellarios, Eleni I. Georga, Panagiotis K. Siogkas, Panagiota Tsompou, Savvas K. Kyriakidis, Silvia Rocchiccioli, Gualtiero Pelosi, Katerina K. Naka, Lampros K. Michalis, Dimitrios I. Fotiadis
2019	—	`conf`	Achieving adherence in home-based rehabilitation with novel human machine interactions that stimulate community-dwelling older adults. PETRA Dimitrios A. Gatsios, Eleni I. Georga, Konstantina Kourou, Dimitrios I. Fotiadis, Dimitrios Kikidis, Athanasios Bibas, Christos Nikitas, Matthew Liston, Marousa Pavlou, Doris Eva Bamiou, Sergi G. Costafreda
2019	C	`conf`	Automatic Estimation of the Nutritional Composition of Foods as Part of the GlucoseML Type 1 Diabetes Self-Management System. BIBE Fotis Konstantakopoulos, Eleni I. Georga, Kostas Klampanas, Dimitris Rouvalis, Nikolaos Ioannou, Dimitrios I. Fotiadis
2019	J	`jnl`	Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters. Medical Biol. Eng. Comput. Eleni I. Georga, José C. Príncipe, Dimitrios I. Fotiadis
2018	—	`conf`	A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution. EMBC Antonis I. Sakellarios, Panagiotis K. Siogkas, Eleni I. Georga, Nikolaos S. Tachos, Vassiliki Kigka, Panagiota Tsompou, Ioannis O. Andrikos, Georgia S. Karanasiou, Silvia Rocchiccioli, Joao Correia, Gualtiero Pelosi, Paolo Stofella, Nenad Filipovic, Oberdan Parodi, Dimitrios I. Fotiadis
2018	—	`conf`	A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data. EMBC Vassiliki I. Kigka, Eleni I. Georga, Antonis I. Sakellarios, Nikolaos S. Tachos, Ioannis O. Andrikos, Panagiota Tsompou, Silvia Rocchiccioli, Gualtiero Pelosi, Oberdan Parodi, Lampros K. Michalis, Dimitrios I. Fotiadis
2017	C	`conf`	An mhealth Platform to Evaluate Glycaemic Variability in Type 1 Diabetes. BIBE Georgios I. Gogolos, Eleni I. Georga, Evangelos C. Rizos, Dimitrios I. Fotiadis
2017	—	`conf`	Kernel-based adaptive learning improves accuracy of glucose predictive modelling in type 1 diabetes: A proof-of-concept study. EMBC Eleni I. Georga, José C. Príncipe, Evangelos C. Rizos, Dimitrios I. Fotiadis
2016	—	`conf`	Non-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters. EMBC Eleni I. Georga, José C. Príncipe, Demosthenes Polyzos, Dimitrios I. Fotiadis
2015	J	`jnl`	Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models. Medical Biol. Eng. Comput. Eleni I. Georga, Vasilios C. Protopappas, Demosthenes Polyzos, Dimitrios I. Fotiadis
2015	—	`conf`	Online prediction of glucose concentration in type 1 diabetes using extreme learning machines. EMBC Eleni I. Georga, Vasilios C. Protopappas, Demosthenes Polyzos, Dimitrios I. Fotiadis
2014	—	`conf`	Development of a smart environment for diabetes data analysis and new knowledge mining. MobiHealth Eleni I. Georga, Vasilios C. Protopappas, Christos Bellos, Vassiliki T. Potsika, Dimitrios I. Fotiadis, Eleni Arvaniti, Dimitrios Makriyiannis
2013	C	`conf`	An architecture for designing Future Internet (FI) applications in sensitive domains: Expressing the software to data paradigm by utilizing hybrid cloud technology. BIBE Stelios Sotiriadis, Euripides G. M. Petrakis, Stefan Covaci, Paolo Zampognaro, Eleni I. Georga, Christoph Thuemmler
2013	J	`jnl`	Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes Patients Based on Support Vector Regression. IEEE J. Biomed. Health Informatics Eleni I. Georga, Vasilios C. Protopappas, Diego Ardigò, Michela Marina, Ivana Zavaroni, Demosthenes Polyzos, Dimitrios I. Fotiadis
2013	C	`conf`	Short-term vs. long-term analysis of diabetes data: Application of machine learning and data mining techniques. BIBE Eleni I. Georga, Vasilios C. Protopappas, Stavroula G. Mougiakakou, Dimitrios I. Fotiadis
2012	—	`conf`	A predictive model of subcutaneous glucose concentration in type 1 diabetes based on Random Forests. EMBC Eleni I. Georga, Vasilios C. Protopappas, Demosthenes Polyzos, Dimitrios I. Fotiadis
2010	—	`conf`	Predictive Metabolic Modeling for Type 1 Diabetes Using Free-Living Data on Mobile Devices. MobiHealth Eleni I. Georga, Vasilios C. Protopappas, Dimitrios I. Fotiadis

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.