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ORCIDElpiniki I. Papageorgiou
Elpiniki Papageorgiou
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2020 – today
- 2024
[j76]Ioannis D. Apostolopoulos
, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou:
A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination. Big Data Cogn. Comput. 8(8): 85 (2024)- 2023
- [j75]Lampros Leontaris, Andreana Mitsiaki, Paschalis Charalampous, Nikolaos Dimitriou, Eleni Leivaditou, Aristoklis Karamanidis, George Margetis, Konstantinos C. Apostolakis, Sebastián Pantoja, Constantine Stephanidis, Dimitrios Tzovaras, Elpiniki Papageorgiou:
A blockchain-enabled deep residual architecture for accountable, in-situ quality control in industry 4.0 with minimal latency. Comput. Ind. 149: 103919 (2023) - [j74]Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Eirini Christodolou, Elpiniki Papageorgiou, Dimitrios Tsaopoulos:
Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness. Neural Comput. Appl. 35(1): 21-33 (2023) - [c82]Alexios Lekidis, Elpiniki I. Papageorgiou:
Risk Assessment Method for 5G-oriented DLMS/COSEM Communications. CSCN 2023: 15-21 - [c81]Anna Feleki, Ioannis D. Apostolopoulos, Konstantinos Papageorgiou, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos:
A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine. EUSFLAT/AGOP 2023: 14-25 - [c80]Theodoros Tziolas, Konstantinos Papageorgiou, Theodosios Theodosiou, Aikaterini Rapti, Theofilos Mastos, Angelos Papadopoulos, Elpiniki Papageorgiou:
Root Cause Analysis with Fuzzy Cognitive Maps and Correlation Coefficient. EUSFLAT/AGOP 2023: 174-184 - [c79]Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos:
Abnormal Parathyroid Gland Localization in Scintigraphic Images Using a Vision Transformer Network. IISA 2023: 1-8 - [c78]Anna Feleki, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou, Serafeim P. Moustakidis, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Konstantinos Kokkinos, Nikolaos I. Papandrianos:
Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging. IISA 2023: 1-6 - [c77]Agorastos-Dimitrios Samaras, Ioannis D. Apostolopoulos, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos:
Explainable Classification for Non-Small Cell Lung Cancer Based on Positron Emission Tomography Features and Clinical Data. IISA 2023: 1-8 - [c76]Theodosis Theodosiou, Aikaterini Rapti, Konstantinos Papageorgiou, Theodoros Tziolas, Elpiniki Papageorgiou, Nikolaos Dimitriou, George Margetis, Dimitrios Tzovaras:
A Review Study on ML-based Methods for Defect-Pattern Recognition in Wafer Maps. ISM 2023: 570-583 - 2022
- [j73]Gayathri Soman, M. V. Vivek, M. V. Judy, Elpiniki Papageorgiou, Vassilis C. Gerogiannis:
Precision-Based Weighted Blending Distributed Ensemble Model for Emotion Classification. Algorithms 15(2): 55 (2022) - [j72]Serafeim P. Moustakidis, Athanasios Siouras, Konstantinos Vassis, Ioannis Misiris, Elpiniki Papageorgiou, Dimitrios Tsaopoulos:
Prediction of Injuries in CrossFit Training: A Machine Learning Perspective. Algorithms 15(3): 77 (2022) - [j71]K. Haritha, M. V. Judy, Konstantinos Papageorgiou, Vassilis C. Gerogiannis, Elpiniki Papageorgiou:
Distributed Fuzzy Cognitive Maps for Feature Selection in Big Data Classification. Algorithms 15(10): 383 (2022) - [j70]Ilja Nastjuk, Simon Trang, Elpiniki I. Papageorgiou:
Smart cities and smart governance models for future cities. Electron. Mark. 32(4): 1917-1924 (2022) - [j69]Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos:
Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study. Mach. Learn. Knowl. Extr. 4(4): 814-826 (2022) - [j68]Mehrin Kiani, Javier Andreu-Perez, Hani Hagras, Elpiniki I. Papageorgiou, Mukesh Prasad, Chin-Teng Lin:
Effective Brain Connectivity for fNIRS With Fuzzy Cognitive Maps in Neuroergonomics. IEEE Trans. Cogn. Dev. Syst. 14(1): 50-63 (2022) - [c75]Nikolaos I. Papandrianos, Anna Feleki, Serafeim P. Moustakidis, Elpiniki I. Papageorgiou:
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology. IISA 2022: 1-7 - [c74]Theodoros Tziolas, Theodosis Theodosiou, Konstantinos Papageorgiou, Aikaterini Rapti, Nikolaos Dimitriou, Dimitrios Tzovaras, Elpiniki Papageorgiou:
Wafer Map Defect Pattern Recognition using Imbalanced Datasets. IISA 2022: 1-8 - 2021
- [j67]Lampros Leontaris, Nikolaos Dimitriou, Dimosthenis Ioannidis, Konstantinos Votis, Dimitrios Tzovaras, Elpiniki Papageorgiou:
An Autonomous Illumination System for Vehicle Documentation Based on Deep Reinforcement Learning. IEEE Access 9: 75336-75348 (2021) - [j66]Mandana Irannezhad, Sajjad Shokouhyar, Sadra Ahmadi, Elpiniki I. Papageorgiou:
An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain. Appl. Soft Comput. 112: 107832 (2021) - [j65]Athanasios Anagnostis, Aristotelis C. Tagarakis, Gabriela Asiminari, Elpiniki Papageorgiou, Dimitrios Kateris, Dimitrios Moshou, Dionysis Bochtis:
A deep learning approach for anthracnose infected trees classification in walnut orchards. Comput. Electron. Agric. 182: 105998 (2021) - [j64]Salah Hasan Al-subhi, Elpiniki I. Papageorgiou, Pedro Piñero Pérez, Gaafar S. Mahdi, Luis Alvarado Acuña:
Triangular Neutrosophic Cognitive Map for Multistage Sequential Decision-Making Problems. Int. J. Fuzzy Syst. 23(3): 657-679 (2021) - [c73]Márcio Mendonça, Rodrigo Henrique Cunha Palácios, Elpiniki I. Papageorgiou, Ivan Rossato Chrun, Lillyane R. Cintra, Konstantinos Papageorgiou:
Applied Artificial Neural Networks and Genetic Algorithms in Simulation Strategy for Trajectory in Collaborative Robotic. IISA 2021: 1-8 - [c72]Serafeim P. Moustakidis, Athanasios Siouras, Nikolaos I. Papandrianos, Charis Ntakolia, Elpiniki Papageorgiou:
Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients. IISA 2021: 1-8 - [c71]Elpiniki I. Papageorgiou, Theodosis Theodosiou, George Margetis, Nikolaos Dimitriou, Paschalis Charalampous, Dimitrios Tzovaras, Ioannis Samakovlis:
Short Survey of Artificial Intelligent Technologies for Defect Detection in Manufacturing. IISA 2021: 1-7 - [c70]Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou:
An explainable machine learning pipeline for backorder prediction in inventory management systems. PCI 2021: 229-234 - [c69]Nikolaos I. Papandrianos, Anna Feleki, Elpiniki Papageorgiou:
Exploring Classification of SPECT MPI images applying convolutional neural networks. PCI 2021: 483-489 - 2020
- [j63]Abdollah Amirkhani, Hosna Nasiriyan-Rad, Elpiniki I. Papageorgiou:
A Novel Fuzzy Inference Approach: Neuro-fuzzy Cognitive Map. Int. J. Fuzzy Syst. 22(3): 859-872 (2020) - [c68]Zoumpoulia Dikopoulou, Elpiniki I. Papageorgiou, Koen Vanhoof:
Retrieving Sparser Fuzzy Cognitive Maps Directly from Categorical Ordinal Dataset using the Graphical Lasso Models and the MAX-threshold Algorithm. FUZZ-IEEE 2020: 1-8 - [c67]Zoumpoulia Dikopoulou, Elpiniki I. Papageorgiou, Koen Vanhoof:
From Undirected Structures to Directed Graphical Lasso Fuzzy Cognitive Maps using Ranking-based Approaches. FUZZ-IEEE 2020: 1-8 - [c66]Márcio Mendonça, Rodrigo Henrique Cunha Palácios, Elpiniki I. Papageorgiou, Lucas Botoni de Souza:
Multi-robot exploration using Dynamic Fuzzy Cognitive Maps and Ant Colony Optimization. FUZZ-IEEE 2020: 1-8 - [c65]Konstantinos Papageorgiou, Gustavo Carvalho, Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Márcio Mendonça, Georgios I. Stamoulis:
Exploring Brazilian Photovoltaic Solar Energy development scenarios using the Fuzzy Cognitive Map Wizard Tool. FUZZ-IEEE 2020: 1-8 - [c64]Antonios Alexos, Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Dimitrios Tsaopoulos:
Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative. IISA 2020: 1-7 - [c63]Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Giannis Giakas, Dimitrios Tsaopoulos:
A Machine Learning workflow for Diagnosis of Knee Osteoarthritis with a focus on post-hoc explainability. IISA 2020: 1-7 - [c62]Márcio Mendonça, Konstantinos Papageorgiou, Diene Eire de Mello, Elpiniki I. Papageorgiou, José Augusto Fabri, Lucas Botoni de Souza, Rodrigo Henrique Cunha Palácios:
Digital game-based learning in a robotics course. IISA 2020: 1-7 - [c61]Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Athanasios Anagnostis, Konstantinos Papageorgiou, Anna Feleki, Dionysis Bochtis:
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine. IISA 2020: 1-8
2010 – 2019
- 2019
- [j62]Konstantinos Papageorgiou, Katarzyna Poczeta, Elpiniki Papageorgiou, Vassilis C. Gerogiannis, George I. Stamoulis:
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. Algorithms 12(11): 235 (2019) - [j61]Serafeim P. Moustakidis, Eirini Christodoulou, Elpiniki Papageorgiou, Christos Kokkotis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos:
Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective. Quantum Mach. Intell. 1(3-4): 73-86 (2019) - [c60]Athanasios Anagnostis, Elpiniki Papageorgiou, Vasileios Dafopoulos, Dionysis D. Bochtis:
Applying Long Short-Term Memory Networks for natural gas demand prediction. IISA 2019: 1-7 - [c59]Eirini Christodoulou, Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos, Elpiniki Papageorgiou:
Exploring deep learning capabilities in knee osteoarthritis case study for classification. IISA 2019: 1-6 - [c58]Konstantinos Papageorgiou, Elpiniki I. Papageorgiou, Pramod K. Singh, Georgios I. Stamoulis:
A software tool for FCM aggregation employing credibility weights and learning OWA operators. IISA 2019: 1-8 - 2018
- [j60]Elpiniki I. Papageorgiou, Katerina Aggelopoulou, Theofanis A. Gemtos, George D. Nanos:
Development and Evaluation of a Fuzzy Inference System and a Neuro-Fuzzy Inference System for Grading Apple Quality. Appl. Artif. Intell. 32(3): 253-280 (2018) - [j59]Abdollah Amirkhani, Elpiniki I. Papageorgiou, Mohammad R. Mosavi, Karim Mohammadi:
A novel medical decision support system based on fuzzy cognitive maps enhanced by intuitive and learning capabilities for modeling uncertainty. Appl. Math. Comput. 337: 562-582 (2018) - [j58]L. S. Jayashree, R. Lakshmi Devi, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou:
Application of Fuzzy Cognitive Map for geospatial dengue outbreak risk prediction of tropical regions of Southern India. Intell. Decis. Technol. 12(2): 231-250 (2018) - [j57]Abdollah Amirkhani, Mohammad R. Mosavi, Karim Mohammadi, Elpiniki I. Papageorgiou:
A novel hybrid method based on fuzzy cognitive maps and fuzzy clustering algorithms for grading celiac disease. Neural Comput. Appl. 30(5): 1573-1588 (2018) - [j56]Lúcia Valéria Ramos de Arruda, Márcio Mendonça, Flávio Neves, Ivan Rossato Chrun, Elpiniki I. Papageorgiou:
Artificial Life Environment Modeled by Dynamic Fuzzy Cognitive Maps. IEEE Trans. Cogn. Dev. Syst. 10(1): 88-101 (2018) - [j55]Miklós Ferenc Hatwágner, Engin Yesil, M. Furkan Dodurka, Elpiniki Papageorgiou, Leon Urbas, László T. Kóczy:
Two-Stage Learning Based Fuzzy Cognitive Maps Reduction Approach. IEEE Trans. Fuzzy Syst. 26(5): 2938-2952 (2018) - [c57]Katarzyna Poczeta, Lukasz Kubus, Alexander Yastrebov, Elpiniki I. Papageorgiou:
Temperature Forecasting for Energy Saving in Smart Buildings Based on Fuzzy Cognitive Map. AUTOMATION 2018: 93-103 - [c56]Sara D'Onofrio, Stefan Markus Müller, Elpiniki I. Papageorgiou, Edy Portmann:
Fuzzy Reasoning in Cognitive Cities : An Exploratory Work on Fuzzy Analogical Reasoning Using Fuzzy Cognitive Maps. FUZZ-IEEE 2018: 1-8 - [c55]Lucas Botoni de Souza, Patrick Prieto Soares, Márcio Mendonça, Asmaa Mourhir, Elpiniki I. Papageorgiou:
Fuzzy Cognitive Maps and Fuzzy Logic applied in industrial processes control. FUZZ-IEEE 2018: 1-8 - [c54]Vasilios Zarikas, Elpiniki Papageorgiou, Damira Pernebayeva, Nurislam Tursynbek:
Medical Decision Support Tool from a Fuzzy-Rules Driven Bayesian Network. ICAART (2) 2018: 539-549 - [c53]Katarzyna Poczeta, Elpiniki I. Papageorgiou:
Implementing Fuzzy Cognitive Maps with Neural Networks for Natural Gas Prediction. ICTAI 2018: 1026-1032 - 2017
- [j54]Abdollah Amirkhani, Elpiniki I. Papageorgiou, Akram Mohseni, Mohammad R. Mosavi:
A review of fuzzy cognitive maps in medicine: Taxonomy, methods, and applications. Comput. Methods Programs Biomed. 142: 129-145 (2017) - [j53]Gonzalo Nápoles, Rafael Falcon, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Rough cognitive ensembles. Int. J. Approx. Reason. 85: 79-96 (2017) - [j52]Muhammed Emin Cihangir Bagdatli, Rifat Akbiyikli, Elpiniki I. Papageorgiou:
A Fuzzy Cognitive Map Approach Applied in Cost-Benefit Analysis for Highway Projects. Int. J. Fuzzy Syst. 19(5): 1512-1527 (2017) - [j51]Elpiniki I. Papageorgiou, Miklós F. Hatwágner, Adrienn Buruzs, László T. Kóczy:
A concept reduction approach for fuzzy cognitive map models in decision making and management. Neurocomputing 232: 16-33 (2017) - [j50]Elpiniki I. Papageorgiou, Katarzyna Poczeta:
A two-stage model for time series prediction based on fuzzy cognitive maps and neural networks. Neurocomputing 232: 113-121 (2017) - [j49]Gonzalo Nápoles, Rafael Falcon, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Weighted aggregation of partial rankings using Ant Colony Optimization. Neurocomputing 250: 109-120 (2017) - [j48]Evaggelia Lema, Anastasios Karaganis, Elpiniki Papageorgiou:
A Fuzzy Logic Modeling of Measures Addressing Shipping CO2 Emissions. J. Intell. Syst. 26(3): 439 (2017) - [j47]Vijayalakshmi Senniappan, Jayashree Subramanian, Elpiniki I. Papageorgiou, Suji Mohan:
Application of fuzzy cognitive maps for crack categorization in columns of reinforced concrete structures. Neural Comput. Appl. 28(S-1): 107-117 (2017) - [j46]Gonzalo Nápoles, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition. Neural Process. Lett. 45(2): 431-444 (2017) - [c52]Katarzyna Poczeta, Lukasz Kubus, Alexander Yastrebov, Elpiniki I. Papageorgiou:
Learning Fuzzy Cognitive Maps Using Evolutionary Algorithm Based on System Performance Indicators. AUTOMATION 2017: 554-564 - [c51]Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Vijay Kumar Mago, Koen Vanhoof:
A new approach using mixed graphical model for automatic design of fuzzy cognitive maps from ordinal data. FUZZ-IEEE 2017: 1-6 - [c50]Mehrin Kiani, Javier Andreu-Perez, Elpiniki I. Papageorgiou:
Improved estimation of effective brain connectivity in functional neuroimaging through higher order fuzzy cognitive maps. FUZZ-IEEE 2017: 1-6 - [c49]Azam Najafi, Abdollah Amirkhani, Elpiniki I. Papageorgiou, Mohammad R. Mosavi:
Medical decision making based on fuzzy cognitive map and a generalization linguistic weighted power mean for computing with words. FUZZ-IEEE 2017: 1-6 - [p8]Konstantinos Kokkinos, Elpiniki Papageorgiou, Vassilios Dafopoulos, Ioannis Adritsos:
Efficiency in Energy Decision Support Systems Using Soft Computing Techniques. Intelligent Decision Support Systems for Sustainable Computing 2017: 33-52 - 2016
- [j45]Gonzalo Nápoles, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium. Appl. Soft Comput. 42: 276-289 (2016) - [j44]Rajathi Natarajan, Jayashree Subramanian, Elpiniki I. Papageorgiou:
Hybrid learning of fuzzy cognitive maps for sugarcane yield classification. Comput. Electron. Agric. 127: 147-157 (2016) - [j43]Asmaa Mourhir, Tajjeeddine Rachidi, Elpiniki I. Papageorgiou, Mohammed Karim, Faycal Sossi Alaoui:
A cognitive map framework to support integrated environmental assessment. Environ. Model. Softw. 77: 81-94 (2016) - [j42]Gonzalo Nápoles, Elpiniki I. Papageorgiou, Rafael Bello, Koen Vanhoof:
On the convergence of sigmoid Fuzzy Cognitive Maps. Inf. Sci. 349-350: 154-171 (2016) - [j41]Gonzalo Nápoles, Isel Grau, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Rough Cognitive Networks. Knowl. Based Syst. 91: 46-61 (2016) - [c48]Dimitris Kofinas, Elpiniki Papageorgiou, Chrysi S. Laspidou, Nikolaos Mellios, Konstantinos Kokkinos:
Daily multivariate forecasting of water demand in a touristic island with the use of artificial neural network and adaptive neuro-fuzzy inference system. CySWATER@CPSWeek 2016: 37-42 - [c47]Katarzyna Poczeta, Lukasz Kubus, Alexander Yastrebov, Elpiniki I. Papageorgiou:
An Economic Decision Support System based on Fuzzy Cognitive Maps with Evolutionary Learning Algorithm. FedCSIS (Position Papers) 2016: 95-101 - [c46]Gonzalo Nápoles, Rafael Falcon, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Partitive granular Cognitive Maps to graded multilabel classification. FUZZ-IEEE 2016: 1363-1370 - [c45]Abdollah Amirkhani, Masoud Shirzadeh, Elpiniki I. Papageorgiou, Mohammad R. Mosavi:
Fuzzy cognitive map for visual servoing of flying robot. FUZZ-IEEE 2016: 1371-1376 - [c44]Elpiniki I. Papageorgiou, Katarzyna Poczeta, Chrysi S. Laspidou:
Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks. FUZZ-IEEE 2016: 1523-1530 - [p7]Elpiniki I. Papageorgiou, Konstantinos Kokkinos, Zoumpoulia Dikopoulou:
Fuzzy Sets in Agriculture. Fuzzy Logic in Its 50th Year 2016: 211-233 - 2015
- [j40]Sadra Ahmadi, Chung-Hsing Yeh, Elpiniki I. Papageorgiou, Rodney Martin:
An FCM-FAHP approach for managing readiness-relevant activities for ERP implementation. Comput. Ind. Eng. 88: 501-517 (2015) - [j39]Sadra Ahmadi, Elpiniki Papageorgiou, Chung-Hsing Yeh, Rodney Martin:
Managing readiness-relevant activities for the organizational dimension of ERP implementation. Comput. Ind. 68: 89-104 (2015) - [j38]Jayashree Subramanian, Akila Karmegam, Elpiniki Papageorgiou, Nikolaos I. Papandrianos, A. Vasukie:
An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps. Comput. Methods Programs Biomed. 118(3): 280-297 (2015) - [j37]Elpiniki I. Papageorgiou, Jayashree Subramanian, Akila Karmegam, Nikolaos I. Papandrianos:
A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method. Comput. Methods Programs Biomed. 122(2): 123-135 (2015) - [j36]Vasilios Zarikas, Elpiniki Papageorgiou, Peter Regner:
Bayesian network construction using a fuzzy rule based approach for medical decision support. Expert Syst. J. Knowl. Eng. 32(3): 344-369 (2015) - [j35]Sadra Ahmadi, Nafiseh Forouzideh, Somayeh Alizadeh, Elpiniki I. Papageorgiou:
Learning Fuzzy Cognitive Maps using Imperialist Competitive Algorithm. Neural Comput. Appl. 26(6): 1333-1354 (2015) - [j34]L. S. Jayashree, Nidhil Palakkal, Elpiniki I. Papageorgiou, Konstantinos Papageorgiou:
Application of fuzzy cognitive maps in precision agriculture: a case study on coconut yield management of southern India's Malabar region. Neural Comput. Appl. 26(8): 1963-1978 (2015) - [j33]Antonis S. Billis, Elpiniki I. Papageorgiou, Christos A. Frantzidis, Marianna S. Tsatali, Anthoula C. Tsolaki, Panagiotis D. Bamidis:
A Decision-Support Framework for Promoting Independent Living and Ageing Well. IEEE J. Biomed. Health Informatics 19(1): 199-209 (2015) - [c43]Katarzyna Poczeta, Alexander Yastrebov, Elpiniki I. Papageorgiou:
Learning fuzzy cognitive maps using Structure Optimization Genetic Algorithm. FedCSIS 2015: 547-554 - [c42]Gonzalo Nápoles, Isel Grau, Rafael Bello, Maikel León, Koen Vanhoof, Elpiniki Papageorgiou:
A computational tool for simulation and learning of Fuzzy Cognitive Maps. FUZZ-IEEE 2015: 1-8 - [c41]Elpiniki I. Papageorgiou, Katarzyna Poczeta, Chrysi S. Laspidou:
Application of Fuzzy Cognitive Maps to water demand prediction. FUZZ-IEEE 2015: 1-8 - [c40]George A. Papakostas, Elpiniki I. Papageorgiou, Vassilis G. Kaburlasos:
Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition. FUZZ-IEEE 2015: 1-7 - [c39]Gonzalo Nápoles, Zoumpoulia Dikopoulou, Elpiniki Papageorgiou, Rafael Bello, Koen Vanhoof:
Aggregation of Partial Rankings - An Approach Based on the Kemeny Ranking Problem. IWANN (2) 2015: 343-355 - [c38]Elpiniki I. Papageorgiou, Katarzyna Poczeta, Alexander Yastrebov, Chrysi S. Laspidou:
Fuzzy Cognitive Maps and Multi-step Gradient Methods for Prediction: Applications to Electricity Consumption and Stock Exchange Returns. KES-IDT 2015: 501-511 - [c37]Elpiniki I. Papageorgiou, Katarzyna Poczeta:
Application of fuzzy cognitive maps to electricity consumption prediction. NAFIPS/WConSC 2015: 1-6 - [c36]Nassim Douali, Jos De Roo, Pauline Sweetman, Elpiniki I. Papageorgiou, Julien Dollon, Marie-Christine Jaulent:
Personalized Decision Support System Based on Clinical Practice Guidelines. pHealth 2015: 308-310 - 2014
- [j32]Jose L. Salmeron, Elpiniki I. Papageorgiou:
Fuzzy grey cognitive maps and nonlinear Hebbian learning in process control. Appl. Intell. 41(1): 223-234 (2014) - [j31]Nassim Douali, Csaba Huszka, Jos De Roo, Elpiniki I. Papageorgiou, Marie-Christine Jaulent:
Diagnosis Support System based on clinical guidelines: comparison between Case-Based Fuzzy Cognitive Maps and Bayesian Networks. Comput. Methods Programs Biomed. 113(1): 133-143 (2014) - [j30]Omid Motlagh, Tang Sai Hong, Seyed Mahdi Homayouni, George Grozev, Elpiniki I. Papageorgiou:
Development of application-specific adjacency models using fuzzy cognitive map. J. Comput. Appl. Math. 270: 178-187 (2014) - [c35]Sadra Ahmadi, Chung-Hsing Yeh, Rodney Martin, Elpiniki Papageorgiou:
An FCM-Fuzzy AHP Approach to Estimating Organisational Readiness for Implementing an ERP System. AMCIS 2014 - [c34]Sadra Ahmadi, Somayeh Alizadeh, Nafiseh Forouzideh, Chung-Hsing Yeh, Rodney Martin, Elpiniki Papageorgiou:
ICLA imperialist competitive learning algorithm for fuzzy cognitive map: Application to water demand forecasting. FUZZ-IEEE 2014: 1041-1048 - [p6]Elpiniki I. Papageorgiou, Jose L. Salmeron:
Methods and Algorithms for Fuzzy Cognitive Map-based Modeling. Fuzzy Cognitive Maps for Applied Sciences and Engineering 2014: 1-28 - [p5]Wojciech Froelich, Elpiniki I. Papageorgiou:
Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series. Fuzzy Cognitive Maps for Applied Sciences and Engineering 2014: 121-131 - [p4]Jose L. Salmeron, Elpiniki I. Papageorgiou:
Using Fuzzy Grey Cognitive Maps for Industrial Processes Control. Fuzzy Cognitive Maps for Applied Sciences and Engineering 2014: 237-252 - [p3]Vijay Kumar Mago, Elpiniki I. Papageorgiou, Anjali Mago:
Employing Fuzzy Cognitive Map for Periodontal Disease Assessment. Fuzzy Cognitive Maps for Applied Sciences and Engineering 2014: 375-389 - [e1]Elpiniki I. Papageorgiou:
Fuzzy Cognitive Maps for Applied Sciences and Engineering - From Fundamentals to Extensions and Learning Algorithms. Intelligent Systems Reference Library 54, Springer 2014, ISBN 978-3-642-39738-7 [contents] - 2013
- [j29]Elpiniki I. Papageorgiou, Csaba Huszka, Jos De Roo, Nassim Douali, Marie-Christine Jaulent, Dirk Colaert:
Application of probabilistic and fuzzy cognitive approaches in semantic web framework for medical decision support. Comput. Methods Programs Biomed. 112(3): 580-598 (2013) - [j28]Elpiniki I. Papageorgiou, Jose L. Salmeron:
A Review of Fuzzy Cognitive Maps Research During the Last Decade. IEEE Trans. Fuzzy Syst. 21(1): 66-79 (2013) - [j27]Elpiniki I. Papageorgiou, Dimitrios K. Iakovidis:
Intuitionistic Fuzzy Cognitive Maps. IEEE Trans. Fuzzy Syst. 21(2): 342-354 (2013) - [c33]Arthi Kannappan, Elpiniki I. Papageorgiou:
A new classification scheme using artificial immune systems learning for fuzzy cognitive mapping. FUZZ-IEEE 2013: 1-8 - [c32]Elpiniki I. Papageorgiou, Antonis S. Billis, Christos A. Frantzidis, Evdokimos I. Konstantinidis, Panagiotis D. Bamidis:
A preliminary fuzzy cognitive map - based desicion support tool for geriatric depression assessment. FUZZ-IEEE 2013: 1-8 - [c31]Márcio Mendonça, Ivan Rossato Chrun, Lúcia Valéria Ramos de Arruda, Elpiniki I. Papageorgiou:
Autonomous Navigation Applying Dynamic-Fuzzy Cognitive Maps and Fuzzy Logic. AIAI 2013: 215-224 - [c30]Panagiotis Oikonomou, Elpiniki I. Papageorgiou:
Particle Swarm Optimization Approach for Fuzzy Cognitive Maps Applied to Autism Classification. AIAI 2013: 516-526 - [c29]Márcio Mendonça, Douglas Matsumoto, Lúcia V. R. Arruda, Elpiniki I. Papageorgiou:
Intelligent Systems Applied to the Control of an Industrial Mixer. AIAI 2013: 537-546 - [c28]Efi Papatheocharous, Jaana Nyfjord, Elpiniki Papageorgiou:
Fuzzy Cognitive Maps as Decision Support Tools for Investigating Critical Agile Adoption Factors. LESS 2013: 180-193 - [c27]Antonis S. Billis, Elpiniki I. Papageorgiou, Christos A. Frantzidis, Evdokimos I. Konstantinidis, Panagiotis D. Bamidis:
Towards a hierarchically-structured decision support tool for improving seniors' independent living: the USEFIL decision support system. PETRA 2013: 27:1-27:4 - [p2]Elpiniki I. Papageorgiou:
Review Study on Fuzzy Cognitive Maps and Their Applications during the Last Decade. Business Process Management 2013: 281-298 - 2012
- [j26]Areti D. Kontogianni, Elpiniki I. Papageorgiou, Christos Tourkolias:
How do you perceive environmental change? Fuzzy Cognitive Mapping informing stakeholder analysis for environmental policy making and non-market valuation. Appl. Soft Comput. 12(12): 3725-3735 (2012) - [j25]Vijay Kumar Mago, Laurens Bakker, Elpiniki I. Papageorgiou, Azadeh Alimadad, Peter B. Borwein, Vahid Dabbaghian:
Fuzzy cognitive maps and cellular automata: An evolutionary approach for social systems modelling. Appl. Soft Comput. 12(12): 3771-3784 (2012) - [j24]Elpiniki I. Papageorgiou, Arthi Kannappan:
Fuzzy cognitive map ensemble learning paradigm to solve classification problems: Application to autism identification. Appl. Soft Comput. 12(12): 3798-3809 (2012) - [j23]Wojciech Froelich, Elpiniki I. Papageorgiou, Michael Samarinas, Konstantinos Skriapas:
Application of evolutionary fuzzy cognitive maps to the long-term prediction of prostate cancer. Appl. Soft Comput. 12(12): 3810-3817 (2012) - [j22]Elpiniki I. Papageorgiou:
Fuzzy cognitive map software tool for treatment management of uncomplicated urinary tract infection. Comput. Methods Programs Biomed. 105(3): 233-245 (2012) - [j21]Elpiniki I. Papageorgiou, Jose L. Salmeron:
Learning Fuzzy Grey Cognitive Maps using Nonlinear Hebbian-based approach. Int. J. Approx. Reason. 53(1): 54-65 (2012) - [j20]Elpiniki I. Papageorgiou, Wojciech Froelich:
Multi-step prediction of pulmonary infection with the use of evolutionary fuzzy cognitive maps. Neurocomputing 92: 28-35 (2012) - [j19]Elpiniki I. Papageorgiou, Jos De Roo, Csaba Huszka, Dirk Colaert:
Formalization of treatment guidelines using Fuzzy Cognitive Maps and semantic web tools. J. Biomed. Informatics 45(1): 45-60 (2012) - [j18]Jose L. Salmeron, Elpiniki I. Papageorgiou:
A Fuzzy Grey Cognitive Maps-based Decision Support System for radiotherapy treatment planning. Knowl. Based Syst. 30: 151-160 (2012) - [j17]Vijay Kumar Mago, Ravinder Mehta, Ryan Woolrych, Elpiniki I. Papageorgiou:
Supporting meningitis diagnosis amongst infants and children through the use of fuzzy cognitive mapping. BMC Medical Informatics Decis. Mak. 12: 98 (2012) - [j16]Elpiniki I. Papageorgiou, Wojciech Froelich:
Application of Evolutionary Fuzzy Cognitive Maps for Prediction of Pulmonary Infections. IEEE Trans. Inf. Technol. Biomed. 16(1): 143-149 (2012) - [j15]Elpiniki I. Papageorgiou:
Learning Algorithms for Fuzzy Cognitive Maps - A Review Study. IEEE Trans. Syst. Man Cybern. Part C 42(2): 150-163 (2012) - [c26]Vassilis C. Gerogiannis, Sotiria Papadopoulou, Elpiniki I. Papageorgiou:
A Fuzzy Cognitive Map for Identifying User Satisfaction from Smartphones. Panhellenic Conference on Informatics 2012: 156-161 - [c25]Elpiniki I. Papageorgiou, Panagiotis Oikonomou, Arthi Kannappan:
Bagged Nonlinear Hebbian Learning Algorithm for Fuzzy Cognitive Maps Working on Classification Tasks. SETN 2012: 157-164 - 2011
- [j14]Elpiniki I. Papageorgiou:
A new methodology for Decisions in Medical Informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques. Appl. Soft Comput. 11(1): 500-513 (2011) - [j13]Elpiniki I. Papageorgiou, Athanasios T. Markinos, Theofanis A. Gemtos:
Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application. Appl. Soft Comput. 11(4): 3643-3657 (2011) - [j12]Arthi Kannappan, A. Tamilarasi, Elpiniki I. Papageorgiou:
Analyzing the performance of fuzzy cognitive maps with non-linear hebbian learning algorithm in predicting autistic disorder. Expert Syst. Appl. 38(3): 1282-1292 (2011) - [j11]Elpiniki I. Papageorgiou:
A Fuzzy Inference Map approach to cope with uncertainty in modeling medical knowledge and making decisions. Intell. Decis. Technol. 5(3): 219-235 (2011) - [j10]Dimitrios K. Iakovidis, Elpiniki I. Papageorgiou:
Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making. IEEE Trans. Inf. Technol. Biomed. 15(1): 100-107 (2011) - [c24]Dimitrios K. Iakovidis, Elpiniki I. Papageorgiou:
Intuitionistic fuzzy reasoning with cognitive maps. FUZZ-IEEE 2011: 821-827 - [c23]Elpiniki I. Papageorgiou:
Review study on fuzzy cognitive maps and their applications during the last decade. FUZZ-IEEE 2011: 828-835 - [c22]Nassim Douali, Elpiniki I. Papageorgiou, Jos De Roo, Marie-Christine Jaulent:
Case Based Fuzzy Cognitive Maps (CBFCM): New method for medical reasoning: Comparison study between CBFCM/FCM. FUZZ-IEEE 2011: 844-850 - [c21]Nikolaos Mallios, Elpiniki I. Papageorgiou, Michael Samarinas:
Comparison of Machine Learning Techniques using the WEKA Environment for Prostate Cancer Therapy Plan. WETICE 2011: 151-155 - [p1]Ioannis Michelakos, Nikolaos Mallios, Elpiniki I. Papageorgiou, Michael Vassilakopoulos:
Ant Colony Optimization and Data Mining. Next Generation Data Technologies for Collective Computational Intelligence 2011: 31-60 - 2010
- [c20]Ioannis Michelakos, Nikolaos Mallios, Elpiniki I. Papageorgiou, Michael Vassilakopoulos:
Ant Colony Optimization and Data Mining: Techniques and Trends. 3PGCIC 2010: 284-289 - [c19]Ioannis Michelakos, Elpiniki I. Papageorgiou, Michael Vassilakopoulos:
A Hybrid Classification Algorithm Evaluated on Medical Data. WETICE 2010: 98-103 - [c18]Ioannis Michelakos, Elpiniki I. Papageorgiou, Michael Vassilakopoulos:
A Study of cAnt-Miner2 Parameters Using Medical Data Sets. WETICE 2010: 119-121
2000 – 2009
- 2009
- [j9]Elpiniki I. Papageorgiou, Athanasios T. Markinos, Theofanis Gemptos:
Application of fuzzy cognitive maps for cotton yield management in precision farming. Expert Syst. Appl. 36(10): 12399-12413 (2009) - [c17]Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Georgia Karagianni, G. Kyriazopoulos, Dimitrios Sfyras:
A fuzzy cognitive map based tool for prediction of infectious diseases. FUZZ-IEEE 2009: 2094-2099 - [c16]Elpiniki I. Papageorgiou:
Medical Decision Making through Fuzzy Computational Intelligent Approaches. ISMIS 2009: 99-108 - [c15]Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Georgia Karagianni, G. Kyriazopoulos, Dimitrios Sfyras:
Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections. ISMIS 2009: 109-118 - 2008
- [j8]Elpiniki Papageorgiou, Panagiota Spyridonos, Dimitris Glotsos, Chrysostomos D. Stylios, Panagiota Ravazoula, George Nikiforidis, Peter P. Groumpos:
Brain tumor characterization using the soft computing technique of fuzzy cognitive maps. Appl. Soft Comput. 8(1): 820-828 (2008) - [c14]Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Dimitrios J. Apostolopoulos, P. J. Vassilakos:
Complementary use of Fuzzy Decision Trees and Augmented Fuzzy Cognitive Maps for Decision Making in Medical Informatics. BMEI (1) 2008: 888-892 - [c13]Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Dimitrios J. Apostolopoulos, P. J. Vassilakos:
Fuzzy Cognitive Map based decision support system for thyroid diagnosis management. FUZZ-IEEE 2008: 1204-1211 - 2007
- [c12]Yiannis G. Petalas, Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Petros P. Groumpos, Michael N. Vrahatis:
Enhanced Learning in Fuzzy Simulation Models Using Memetic Particle Swarm Optimization. SIS 2007: 16-22 - 2006
- [j7]Elpiniki Papageorgiou, Panagiota Spyridonos, Chrysostomos D. Stylios, Panagiota Ravazoula, Peter P. Groumpos, George Nikiforidis:
Advanced soft computing diagnosis method for tumour grading. Artif. Intell. Medicine 36(1): 59-70 (2006) - [j6]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links. Int. J. Hum. Comput. Stud. 64(8): 727-743 (2006) - [c11]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
A Combined Fuzzy Cognitive Map and Decision Trees Model for Medical Decision Making. EMBC 2006: 6117-6120 - [c10]Panagiota Spyridonos, Elpiniki Papageorgiou, Peter P. Groumpos, George Nikiforidis:
Integration of Expert Knowledge and Image Analysis Techniques for Medical Diagnosis. ICIAR (2) 2006: 110-121 - [c9]Elpiniki Papageorgiou, George K. Georgoulas, Chrysostomos D. Stylios, George Nikiforidis, Peter P. Groumpos:
Combining Fuzzy Cognitive Maps with Support Vector Machines for Bladder Tumor Grading. KES (1) 2006: 515-523 - [c8]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
Introducing Interval Analysis in Fuzzy Cognitive Map Framework. SETN 2006: 571-575 - 2005
- [j5]Elpiniki Papageorgiou, Peter P. Groumpos:
A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps. Appl. Soft Comput. 5(4): 409-431 (2005) - [j4]Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Petros P. Groumpos, Michael N. Vrahatis:
Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization. J. Intell. Inf. Syst. 25(1): 95-121 (2005) - [j3]Elpiniki Papageorgiou, Peter P. Groumpos:
A weight adaptation method for fuzzy cognitive map learning. Soft Comput. 9(11): 846-857 (2005) - 2004
- [j2]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
Active Hebbian learning algorithm to train fuzzy cognitive maps. Int. J. Approx. Reason. 37(3): 219-249 (2004) - [c7]Konstantinos E. Parsopoulos, Elpiniki Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis:
Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems. GECCO (1) 2004: 402-413 - [c6]Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Peter P. Groumpos, Michael N. Vrahatis:
Fuzzy Cognitive Maps Learning through Swarm Intelligence. ICAISC 2004: 344-349 - [c5]Elpiniki Papageorgiou, Panagiota Spyridonos, Chrysostomos D. Stylios, Panagiota Ravazoula, George Nikiforidis, Peter P. Groumpos:
The Challenge of Soft Computing Techniques for Tumor Characterization. ICAISC 2004: 1031-1036 - [c4]Elpiniki Papageorgiou, Peter P. Groumpos:
A Weight Adaptation Method for Fuzzy Cognitive Maps to a Process Control Problem. International Conference on Computational Science 2004: 515-522 - 2003
- [j1]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
An integrated two-level hierarchical system for decision making in radiation therapy based on fuzzy cognitive maps. IEEE Trans. Biomed. Eng. 50(12): 1326-1339 (2003) - [c3]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
Fuzzy Cognitive Map Learning Based on Nonlinear Hebbian Rule. Australian Conference on Artificial Intelligence 2003: 256-268 - [c2]Konstantinos E. Parsopoulos, Elpiniki I. Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis:
A first study of fuzzy cognitive maps learning using particle swarm optimization. IEEE Congress on Evolutionary Computation 2003: 1440-1447 - 2001
- [c1]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
Learning algorithms for fuzzy cognitive maps. EUSFLAT Conf. 2001: 83-88
Coauthor Index
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