Application of fuzzy cognitive maps in precision agriculture: a case study on coconut yield management of southern India's Malabar region. - L. S. Jayashree; Nidhil Palakkal; Elpiniki I. Papageorgiou; Konstantinos Papageorgiou (Neural Comput. Appl., 2015)

Epidemiological Investigation of Pseudorabies in Greece. - Konstantinos Papageorgiou; Evanthia Petridou; George Filioussis; Alexandros Theodoridis; Ioannis Grivas; Odysseas Moshidis; Spiros Kritas (HAICTA, 2017)

A software tool for FCM aggregation employing credibility weights and learning OWA operators. - Konstantinos Papageorgiou; Elpiniki I. Papageorgiou; Pramod K. Singh; Georgios I. Stamoulis (IISA, 2019)

Exploring an Ensemble of Methods that Combines Fuzzy Cognitive Maps and Neural Networks in Solving the Time Series Prediction Problem of Gas Consumption in Greece. - Konstantinos Papageorgiou; Katarzyna Poczeta; Elpiniki Papageorgiou; Vassilis C. Gerogiannis; George I. Stamoulis (Algorithms, 2019)

Exploring Brazilian Photovoltaic Solar Energy development scenarios using the Fuzzy Cognitive Map Wizard Tool. - Konstantinos Papageorgiou; Gustavo Carvalho; Elpiniki I. Papageorgiou; Nikolaos I. Papandrianos; Márcio Mendonça; Georgios I. Stamoulis (FUZZ-IEEE, 2020)

Digital game-based learning in a robotics course. - Márcio Mendonça; Konstantinos Papageorgiou; Diene Eire de Mello; Elpiniki I. Papageorgiou; José Augusto Fabri; Lucas Botoni de Souza; Rodrigo Henrique Cunha Palácios (IISA, 2020)

Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine. - Nikolaos I. Papandrianos; Elpiniki I. Papageorgiou; Athanasios Anagnostis; Konstantinos Papageorgiou; Anna Feleki; Dionysis Bochtis (IISA, 2020)

Applied Artificial Neural Networks and Genetic Algorithms in Simulation Strategy for Trajectory in Collaborative Robotic. - Márcio Mendonça; Rodrigo Henrique Cunha Palácios; Elpiniki I. Papageorgiou; Ivan Rossato Chrun; Lillyane R. Cintra; Konstantinos Papageorgiou (IISA, 2021)

Exploration and development of methodologies for complex systems modelling and decision-making support using advanced fuzzy logic and cognitive maps techniques - Konstantinos Papageorgiou (2021)

Wafer Map Defect Pattern Recognition using Imbalanced Datasets. - Theodoros Tziolas; Theodosis Theodosiou; Konstantinos Papageorgiou; Aikaterini Rapti; Nikolaos Dimitriou; Dimitrios Tzovaras; Elpiniki Papageorgiou (IISA, 2022)

A Review Study on ML-based Methods for Defect-Pattern Recognition in Wafer Maps. - Theodosis Theodosiou; Aikaterini Rapti; Konstantinos Papageorgiou; Theodoros Tziolas; Elpiniki Papageorgiou; Nikolaos Dimitriou; George Margetis; Dimitrios Tzovaras (ISM, 2022)

Self-sovereign, verifiable, ubiquitous and privacy preserving public entity documents through the use of blockchain technology. - Konstantinos Papageorgiou; Georgios P. Spathoulas (SEEDA-CECNSM, 2022)

Distributed Fuzzy Cognitive Maps for Feature Selection in Big Data Classification. - K. Haritha; M. V. Judy; Konstantinos Papageorgiou; Vassilis C. Gerogiannis; Elpiniki Papageorgiou (Algorithms, 2022)

Perceptions and needs of health professionals concerning health information systems. - Konstantinos Milioris; Charalampos Konstantopoulos; Konstantinos Papageorgiou (Informatica (Slovenia), 2022)

An Efficient and Lightweight Commitment Scheme for IoT Data Streams. - Angeliki Katsika; Konstantinos Papageorgiou; Alexandros Fakis; Vassilis P. Plagianakos; Georgios P. Spathoulas (DCOSS-IoT, 2023)

A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine. - Anna Feleki; Ioannis D. Apostolopoulos; Konstantinos Papageorgiou; Elpiniki I. Papageorgiou; Dimitris J. Apostolopoulos; Nikolaos I. Papandrianos (EUSFLAT/AGOP, 2023)

Root Cause Analysis with Fuzzy Cognitive Maps and Correlation Coefficient. - Theodoros Tziolas; Konstantinos Papageorgiou; Theodosios Theodosiou; Aikaterini Rapti; Theofilos Mastos; Angelos Papadopoulos; Elpiniki Papageorgiou (EUSFLAT/AGOP, 2023)

Deep Fuzzy Cognitive Maps for Defect Inspection in Antenna Assembly. - Theodoros Tziolas; Konstantinos Papageorgiou; Anna Feleki; Theodosis Theodosiou; K. Rapti; Elpiniki Papageorgiou; Sebastián Pantoja; A. Cuinas (ISM, 2023)

Compressing Time Series Towards Lightweight Integrity Commitments. - Angeliki Katsika; Konstantinos Papageorgiou; Alexandros Fakis; Athanasios Kakarountas; Fotis Andritsopoulos; Vassilis P. Plagianakos; Georgios P. Spathoulas (SEEDA-CECNSM, 2023)

Improving DNS Data Exfiltration Detection Through Temporal Analysis. - Georgios P. Spathoulas; Marios Anagnostopoulos; Konstantinos Papageorgiou; Georgios Kavallieratos; Georgios Theodoridis (UbiSec, 2023)

Applying LSTM for River's Water Level Forecasting as Potential Flood Indication: A Case Study in Greece. - Theodoros Tziolas; Elpiniki Papageorgiou; Konstantinos Papageorgiou; Georgios Zardas; Alexios Lekidis; Papazoglou Panagiotis (IISA, 2024)

Multimodal Diagnosis using Deep Fuzzy Cognitive Map with Extreme Learning Machine Integrated into a Medical Decision Support System for Coronary Artery Disease and Non-Small Cell Lung Cancer Detection. - Elpiniki Papageorgiou; Anna Feleki; Nikolaos I. Papandrianos; Ioannis D. Apostolopoulos; Konstantinos Papageorgiou; Nikolaos D. Papathanasiou; Dimitrios J. Apostolopoulos (PCI, 2024)

GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND). - Rafael Alves Batista; Aurélien Benoit-Lévy; Teresa Bister; Martina Bohacova; Mauricio Bustamante; Washington Carvalho; Yiren Chen; LingMei Cheng; Simon Chiche; Jean-Marc Colley; Pablo Correa; Nicoleta Cucu Laurenciu; et al. (Comput. Phys. Commun., 2025)

Neural-FCM: a deep learning approach for weight matrix optimization in Fuzzy Cognitive Map classifiers. - Theodoros Tziolas; Konstantinos Papageorgiou; Ioannis D. Apostolopoulos; Elpiniki Papageorgiou (Appl. Intell., 2025)