Learning algorithms for fuzzy cognitive maps. - Elpiniki Papageorgiou; Chrysostomos D. Stylios; Peter P. Groumpos (EUSFLAT Conf., 2001)

Fuzzy Cognitive Map Learning Based on Nonlinear Hebbian Rule. - Elpiniki Papageorgiou; Chrysostomos D. Stylios; Peter P. Groumpos (Australian Conference on Artificial Intelligence, 2003)

A first study of fuzzy cognitive maps learning using particle swarm optimization. - Konstantinos E. Parsopoulos; Elpiniki I. Papageorgiou; Peter P. Groumpos; Michael N. Vrahatis (IEEE Congress on Evolutionary Computation, 2003)

An integrated two-level hierarchical system for decision making in radiation therapy based on fuzzy cognitive maps. - Elpiniki Papageorgiou; Chrysostomos D. Stylios; Peter P. Groumpos (IEEE Trans. Biomed. Eng., 2003)

Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems. - Konstantinos E. Parsopoulos; Elpiniki Papageorgiou; Peter P. Groumpos; Michael N. Vrahatis (GECCO (1), 2004)

Fuzzy Cognitive Maps Learning through Swarm Intelligence. - Elpiniki Papageorgiou; Konstantinos E. Parsopoulos; Peter P. Groumpos; Michael N. Vrahatis (ICAISC, 2004)

The Challenge of Soft Computing Techniques for Tumor Characterization. - Elpiniki Papageorgiou; Panagiota Spyridonos; Chrysostomos D. Stylios; Panagiota Ravazoula; George Nikiforidis; Peter P. Groumpos (ICAISC, 2004)

A Weight Adaptation Method for Fuzzy Cognitive Maps to a Process Control Problem. - Elpiniki Papageorgiou; Peter P. Groumpos (International Conference on Computational Science, 2004)

The challenge of using unsupervised learning algorithms for fuzzy cognitive maps. - Elpiniki I. Papageorgiou; Chrysostomos D. Stylios; Peter P. Groumpos (IJCNN, 2004)

Active Hebbian learning algorithm to train fuzzy cognitive maps. - Elpiniki Papageorgiou; Chrysostomos D. Stylios; Peter P. Groumpos (Int. J. Approx. Reason., 2004)

A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps. - Elpiniki Papageorgiou; Peter P. Groumpos (Appl. Soft Comput., 2005)

Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization. - Elpiniki Papageorgiou; Konstantinos E. Parsopoulos; Chrysostomos D. Stylios; Petros P. Groumpos; Michael N. Vrahatis (J. Intell. Inf. Syst., 2005)

A weight adaptation method for fuzzy cognitive map learning. - Elpiniki Papageorgiou; Peter P. Groumpos (Soft Comput., 2005)

A Combined Fuzzy Cognitive Map and Decision Trees Model for Medical Decision Making. - Elpiniki Papageorgiou; Chrysostomos D. Stylios; Peter P. Groumpos (EMBC, 2006)

Integration of Expert Knowledge and Image Analysis Techniques for Medical Diagnosis. - Panagiota Spyridonos; Elpiniki Papageorgiou; Peter P. Groumpos; George Nikiforidis (ICIAR (2), 2006)

Combining Fuzzy Cognitive Maps with Support Vector Machines for Bladder Tumor Grading. - Elpiniki Papageorgiou; George K. Georgoulas; Chrysostomos D. Stylios; George Nikiforidis; Peter P. Groumpos (KES (1), 2006)

Introducing Interval Analysis in Fuzzy Cognitive Map Framework. - Elpiniki Papageorgiou; Chrysostomos D. Stylios; Peter P. Groumpos (SETN, 2006)

Advanced soft computing diagnosis method for tumour grading. - Elpiniki Papageorgiou; Panagiota Spyridonos; Chrysostomos D. Stylios; Panagiota Ravazoula; Peter P. Groumpos; George Nikiforidis (Artif. Intell. Medicine, 2006)

Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links. - Elpiniki Papageorgiou; Chrysostomos D. Stylios; Peter P. Groumpos (Int. J. Hum. Comput. Stud., 2006)

Enhanced Learning in Fuzzy Simulation Models Using Memetic Particle Swarm Optimization. - Yiannis G. Petalas; Konstantinos E. Parsopoulos; Elpiniki I. Papageorgiou; Petros P. Groumpos; Michael N. Vrahatis (SIS, 2007)

Complementary use of Fuzzy Decision Trees and Augmented Fuzzy Cognitive Maps for Decision Making in Medical Informatics. - Elpiniki I. Papageorgiou; Nikolaos I. Papandrianos; Dimitrios J. Apostolopoulos; P. J. Vassilakos (BMEI (1), 2008)

Fuzzy Cognitive Map based decision support system for thyroid diagnosis management. - Elpiniki I. Papageorgiou; Nikolaos I. Papandrianos; Dimitrios J. Apostolopoulos; P. J. Vassilakos (FUZZ-IEEE, 2008)

Brain tumor characterization using the soft computing technique of fuzzy cognitive maps. - Elpiniki Papageorgiou; Panagiota Spyridonos; Dimitris Glotsos; Chrysostomos D. Stylios; Panagiota Ravazoula; George Nikiforidis; Peter P. Groumpos (Appl. Soft Comput., 2008)

A fuzzy cognitive map based tool for prediction of infectious diseases. - Elpiniki I. Papageorgiou; Nikolaos I. Papandrianos; Georgia Karagianni; G. Kyriazopoulos; Dimitrios Sfyras (FUZZ-IEEE, 2009)

Medical Decision Making through Fuzzy Computational Intelligent Approaches. - Elpiniki I. Papageorgiou (ISMIS, 2009)

Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections. - Elpiniki I. Papageorgiou; Nikolaos I. Papandrianos; Georgia Karagianni; G. Kyriazopoulos; Dimitrios Sfyras (ISMIS, 2009)

Application of fuzzy cognitive maps for cotton yield management in precision farming. - Elpiniki I. Papageorgiou; Athanasios T. Markinos; Theofanis Gemptos (Expert Syst. Appl., 2009)

Ant Colony Optimization and Data Mining: Techniques and Trends. - Ioannis Michelakos; Nikolaos Mallios; Elpiniki I. Papageorgiou; Michael Vassilakopoulos (3PGCIC, 2010)

A Hybrid Classification Algorithm Evaluated on Medical Data. - Ioannis Michelakos; Elpiniki I. Papageorgiou; Michael Vassilakopoulos (WETICE, 2010)

A Study of cAnt-Miner2 Parameters Using Medical Data Sets. - Ioannis Michelakos; Elpiniki I. Papageorgiou; Michael Vassilakopoulos (WETICE, 2010)

Case Based Fuzzy Cognitive Maps (CBFCM): New method for medical reasoning: Comparison study between CBFCM/FCM. - Nassim Douali; Elpiniki I. Papageorgiou; Jos De Roo; Marie-Christine Jaulent (FUZZ-IEEE, 2011)

Intuitionistic fuzzy reasoning with cognitive maps. - Dimitrios K. Iakovidis; Elpiniki I. Papageorgiou (FUZZ-IEEE, 2011)

Review study on fuzzy cognitive maps and their applications during the last decade. - Elpiniki I. Papageorgiou (FUZZ-IEEE, 2011)

Comparison of Machine Learning Techniques using the WEKA Environment for Prostate Cancer Therapy Plan. - Nikolaos Mallios; Elpiniki I. Papageorgiou; Michael Samarinas (WETICE, 2011)

A new methodology for Decisions in Medical Informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques. - Elpiniki I. Papageorgiou (Appl. Soft Comput., 2011)

Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application. - Elpiniki I. Papageorgiou; Athanasios T. Markinos; Theofanis A. Gemtos (Appl. Soft Comput., 2011)

Analyzing the performance of fuzzy cognitive maps with non-linear hebbian learning algorithm in predicting autistic disorder. - Arthi Kannappan; A. Tamilarasi; Elpiniki I. Papageorgiou (Expert Syst. Appl., 2011)

A Fuzzy Inference Map approach to cope with uncertainty in modeling medical knowledge and making decisions. - Elpiniki I. Papageorgiou (Intell. Decis. Technol., 2011)

Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making. - Dimitrios K. Iakovidis; Elpiniki I. Papageorgiou (IEEE Trans. Inf. Technol. Biomed., 2011)

Ant Colony Optimization and Data Mining. - Ioannis Michelakos; Nikolaos Mallios; Elpiniki I. Papageorgiou; Michael Vassilakopoulos (Next Generation Data Technologies for Collective Computational Intelligence, 2011)

A Fuzzy Cognitive Map for Identifying User Satisfaction from Smartphones. - Vassilis C. Gerogiannis; Sotiria Papadopoulou; Elpiniki I. Papageorgiou (Panhellenic Conference on Informatics, 2012)

Bagged Nonlinear Hebbian Learning Algorithm for Fuzzy Cognitive Maps Working on Classification Tasks. - Elpiniki I. Papageorgiou; Panagiotis Oikonomou; Arthi Kannappan (SETN, 2012)

Application of evolutionary fuzzy cognitive maps to the long-term prediction of prostate cancer. - Wojciech Froelich; Elpiniki I. Papageorgiou; Michael Samarinas; Konstantinos Skriapas (Appl. Soft Comput., 2012)

How do you perceive environmental change? Fuzzy Cognitive Mapping informing stakeholder analysis for environmental policy making and non-market valuation. - Areti D. Kontogianni; Elpiniki I. Papageorgiou; Christos Tourkolias (Appl. Soft Comput., 2012)

Fuzzy cognitive maps and cellular automata: An evolutionary approach for social systems modelling. - Vijay Kumar Mago; Laurens Bakker; Elpiniki I. Papageorgiou; Azadeh Alimadad; Peter B. Borwein; Vahid Dabbaghian (Appl. Soft Comput., 2012)

Fuzzy cognitive map ensemble learning paradigm to solve classification problems: Application to autism identification. - Elpiniki I. Papageorgiou; Arthi Kannappan (Appl. Soft Comput., 2012)

Fuzzy cognitive map software tool for treatment management of uncomplicated urinary tract infection. - Elpiniki I. Papageorgiou (Comput. Methods Programs Biomed., 2012)

Learning Fuzzy Grey Cognitive Maps using Nonlinear Hebbian-based approach. - Elpiniki I. Papageorgiou; Jose L. Salmeron (Int. J. Approx. Reason., 2012)

Multi-step prediction of pulmonary infection with the use of evolutionary fuzzy cognitive maps. - Elpiniki I. Papageorgiou; Wojciech Froelich (Neurocomputing, 2012)

Formalization of treatment guidelines using Fuzzy Cognitive Maps and semantic web tools. - Elpiniki I. Papageorgiou; Jos De Roo; Csaba Huszka; Dirk Colaert (J. Biomed. Informatics, 2012)

A Fuzzy Grey Cognitive Maps-based Decision Support System for radiotherapy treatment planning. - Jose L. Salmeron; Elpiniki I. Papageorgiou (Knowl. Based Syst., 2012)

Supporting meningitis diagnosis amongst infants and children through the use of fuzzy cognitive mapping. - Vijay Kumar Mago; Ravinder Mehta; Ryan Woolrych; Elpiniki I. Papageorgiou (BMC Medical Informatics Decis. Mak., 2012)

Application of Evolutionary Fuzzy Cognitive Maps for Prediction of Pulmonary Infections. - Elpiniki I. Papageorgiou; Wojciech Froelich (IEEE Trans. Inf. Technol. Biomed., 2012)

Learning Algorithms for Fuzzy Cognitive Maps - A Review Study. - Elpiniki I. Papageorgiou (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Review Study on Fuzzy Cognitive Maps and Their Applications during the Last Decade. - Elpiniki I. Papageorgiou (Business Process Management, 2013)

A new classification scheme using artificial immune systems learning for fuzzy cognitive mapping. - Arthi Kannappan; Elpiniki I. Papageorgiou (FUZZ-IEEE, 2013)

A preliminary fuzzy cognitive map - based desicion support tool for geriatric depression assessment. - Elpiniki I. Papageorgiou; Antonis S. Billis; Christos A. Frantzidis; Evdokimos I. Konstantinidis; Panagiotis D. Bamidis (FUZZ-IEEE, 2013)

Autonomous Navigation Applying Dynamic-Fuzzy Cognitive Maps and Fuzzy Logic. - Márcio Mendonça; Ivan Rossato Chrun; Lúcia Valéria Ramos de Arruda; Elpiniki I. Papageorgiou (AIAI, 2013)

Intelligent Systems Applied to the Control of an Industrial Mixer. - Márcio Mendonça; Douglas Matsumoto; Lúcia V. R. Arruda; Elpiniki I. Papageorgiou (AIAI, 2013)

Particle Swarm Optimization Approach for Fuzzy Cognitive Maps Applied to Autism Classification. - Panagiotis Oikonomou; Elpiniki I. Papageorgiou (AIAI, 2013)

Fuzzy Cognitive Maps as Decision Support Tools for Investigating Critical Agile Adoption Factors. - Efi Papatheocharous; Jaana Nyfjord; Elpiniki Papageorgiou (LESS, 2013)

Towards a hierarchically-structured decision support tool for improving seniors' independent living: the USEFIL decision support system. - Antonis S. Billis; Elpiniki I. Papageorgiou; Christos A. Frantzidis; Evdokimos I. Konstantinidis; Panagiotis D. Bamidis (PETRA, 2013)

Application of probabilistic and fuzzy cognitive approaches in semantic web framework for medical decision support. - Elpiniki I. Papageorgiou; Csaba Huszka; Jos De Roo; Nassim Douali; Marie-Christine Jaulent; Dirk Colaert (Comput. Methods Programs Biomed., 2013)

Intuitionistic Fuzzy Cognitive Maps. - Elpiniki I. Papageorgiou; Dimitrios K. Iakovidis (IEEE Trans. Fuzzy Syst., 2013)

A Review of Fuzzy Cognitive Maps Research During the Last Decade. - Elpiniki I. Papageorgiou; Jose L. Salmeron (IEEE Trans. Fuzzy Syst., 2013)

An FCM-Fuzzy AHP Approach to Estimating Organisational Readiness for Implementing an ERP System. - Sadra Ahmadi; Chung-Hsing Yeh; Rodney Martin; Elpiniki Papageorgiou (AMCIS, 2014)

ICLA imperialist competitive learning algorithm for fuzzy cognitive map: Application to water demand forecasting. - Sadra Ahmadi; Somayeh Alizadeh; Nafiseh Forouzideh; Chung-Hsing Yeh; Rodney Martin; Elpiniki Papageorgiou (FUZZ-IEEE, 2014)

Fuzzy grey cognitive maps and nonlinear Hebbian learning in process control. - Jose L. Salmeron; Elpiniki I. Papageorgiou (Appl. Intell., 2014)

Diagnosis Support System based on clinical guidelines: comparison between Case-Based Fuzzy Cognitive Maps and Bayesian Networks. - Nassim Douali; Csaba Huszka; Jos De Roo; Elpiniki I. Papageorgiou; Marie-Christine Jaulent (Comput. Methods Programs Biomed., 2014)

Development of application-specific adjacency models using fuzzy cognitive map. - Omid Motlagh; Tang Sai Hong; Seyed Mahdi Homayouni; George Grozev; Elpiniki I. Papageorgiou (J. Comput. Appl. Math., 2014)

Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series. - Wojciech Froelich; Elpiniki I. Papageorgiou (Fuzzy Cognitive Maps for Applied Sciences and Engineering, 2014)

Employing Fuzzy Cognitive Map for Periodontal Disease Assessment. - Vijay Kumar Mago; Elpiniki I. Papageorgiou; Anjali Mago (Fuzzy Cognitive Maps for Applied Sciences and Engineering, 2014)

Methods and Algorithms for Fuzzy Cognitive Map-based Modeling. - Elpiniki I. Papageorgiou; Jose L. Salmeron (Fuzzy Cognitive Maps for Applied Sciences and Engineering, 2014)

Using Fuzzy Grey Cognitive Maps for Industrial Processes Control. - Jose L. Salmeron; Elpiniki I. Papageorgiou (Fuzzy Cognitive Maps for Applied Sciences and Engineering, 2014)

Learning fuzzy cognitive maps using Structure Optimization Genetic Algorithm. - Katarzyna Poczeta; Alexander Yastrebov; Elpiniki I. Papageorgiou (FedCSIS, 2015)

A computational tool for simulation and learning of Fuzzy Cognitive Maps. - Gonzalo Nápoles; Isel Grau; Rafael Bello 001; Maikel León; Koen Vanhoof; Elpiniki Papageorgiou (FUZZ-IEEE, 2015)

Application of Fuzzy Cognitive Maps to water demand prediction. - Elpiniki I. Papageorgiou; Katarzyna Poczeta; Chrysi S. Laspidou (FUZZ-IEEE, 2015)

Linguistic Fuzzy Cognitive Map (LFCM) for pattern recognition. - George A. Papakostas; Elpiniki I. Papageorgiou; Vassilis G. Kaburlasos (FUZZ-IEEE, 2015)

Aggregation of Partial Rankings - An Approach Based on the Kemeny Ranking Problem. - Gonzalo Nápoles; Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (IWANN (2), 2015)

Fuzzy Cognitive Maps and Multi-step Gradient Methods for Prediction: Applications to Electricity Consumption and Stock Exchange Returns. - Elpiniki I. Papageorgiou; Katarzyna Poczeta; Alexander Yastrebov; Chrysi S. Laspidou (KES-IDT, 2015)

Application of fuzzy cognitive maps to electricity consumption prediction. - Elpiniki I. Papageorgiou; Katarzyna Poczeta (NAFIPS/WConSC, 2015)

Personalized Decision Support System Based on Clinical Practice Guidelines. - Nassim Douali; Jos De Roo; Pauline Sweetman; Elpiniki I. Papageorgiou; Julien Dollon; Marie-Christine Jaulent (pHealth, 2015)

An FCM-FAHP approach for managing readiness-relevant activities for ERP implementation. - Sadra Ahmadi; Chung-Hsing Yeh; Elpiniki I. Papageorgiou; Rodney Martin (Comput. Ind. Eng., 2015)

Managing readiness-relevant activities for the organizational dimension of ERP implementation. - Sadra Ahmadi; Elpiniki Papageorgiou; Chung-Hsing Yeh; Rodney Martin (Comput. Ind., 2015)

A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method. - Elpiniki I. Papageorgiou; Jayashree Subramanian; Akila Karmegam; Nikolaos I. Papandrianos (Comput. Methods Programs Biomed., 2015)

An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps. - Jayashree Subramanian; Akila Karmegam; Elpiniki Papageorgiou; Nikolaos I. Papandrianos; A. Vasukie (Comput. Methods Programs Biomed., 2015)

Bayesian network construction using a fuzzy rule based approach for medical decision support. - Vasilios Zarikas; Elpiniki Papageorgiou; Peter Regner (Expert Syst. J. Knowl. Eng., 2015)

Learning Fuzzy Cognitive Maps using Imperialist Competitive Algorithm. - Sadra Ahmadi; Nafiseh Forouzideh; Somayeh Alizadeh; Elpiniki I. Papageorgiou (Neural Comput. Appl., 2015)

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)

A Decision-Support Framework for Promoting Independent Living and Ageing Well. - Antonis S. Billis; Elpiniki I. Papageorgiou; Christos A. Frantzidis; Marianna S. Tsatali; Anthoula C. Tsolaki; Panagiotis D. Bamidis (IEEE J. Biomed. Health Informatics, 2015)

Daily multivariate forecasting of water demand in a touristic island with the use of artificial neural network and adaptive neuro-fuzzy inference system. - Dimitris Kofinas; Elpiniki Papageorgiou; Chrysi S. Laspidou; Nikolaos Mellios; Konstantinos Kokkinos (CySWATER@CPSWeek, 2016)

An Economic Decision Support System based on Fuzzy Cognitive Maps with Evolutionary Learning Algorithm. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov; Elpiniki I. Papageorgiou (FedCSIS (Position Papers), 2016)

Fuzzy cognitive map for visual servoing of flying robot. - Abdollah Amirkhani; Masoud Shirzadeh; Elpiniki I. Papageorgiou; Mohammad R. Mosavi (FUZZ-IEEE, 2016)

Partitive granular Cognitive Maps to graded multilabel classification. - Gonzalo Nápoles; Rafael Falcon; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (FUZZ-IEEE, 2016)

Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks. - Elpiniki I. Papageorgiou; Katarzyna Poczeta; Chrysi S. Laspidou (FUZZ-IEEE, 2016)

Prototypes construction from partial rankings to characterize the attractiveness of companies in Belgium. - Gonzalo Nápoles; Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Appl. Soft Comput., 2016)

Hybrid learning of fuzzy cognitive maps for sugarcane yield classification. - Rajathi Natarajan; Jayashree Subramanian; Elpiniki I. Papageorgiou (Comput. Electron. Agric., 2016)

A cognitive map framework to support integrated environmental assessment. - Asmaa Mourhir; Tajjeeddine Rachidi; Elpiniki I. Papageorgiou; Mohammed Karim; Faycal Sossi Alaoui (Environ. Model. Softw., 2016)

On the convergence of sigmoid Fuzzy Cognitive Maps. - Gonzalo Nápoles; Elpiniki I. Papageorgiou; Rafael Bello 001; Koen Vanhoof (Inf. Sci., 2016)

Rough Cognitive Networks. - Gonzalo Nápoles; Isel Grau; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Knowl. Based Syst., 2016)

Fuzzy Sets in Agriculture. - Elpiniki I. Papageorgiou; Konstantinos Kokkinos; Zoumpoulia Dikopoulou (Fuzzy Logic in Its 50th Year, 2016)

Learning Fuzzy Cognitive Maps Using Evolutionary Algorithm Based on System Performance Indicators. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov; Elpiniki I. Papageorgiou (AUTOMATION, 2017)

A new approach using mixed graphical model for automatic design of fuzzy cognitive maps from ordinal data. - Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Vijay Kumar Mago; Koen Vanhoof (FUZZ-IEEE, 2017)

Improved estimation of effective brain connectivity in functional neuroimaging through higher order fuzzy cognitive maps. - Mehrin Kiani; Javier Andreu-Perez; Elpiniki I. Papageorgiou (FUZZ-IEEE, 2017)

Medical decision making based on fuzzy cognitive map and a generalization linguistic weighted power mean for computing with words. - Azam Najafi; Abdollah Amirkhani; Elpiniki I. Papageorgiou; Mohammad R. Mosavi (FUZZ-IEEE, 2017)

A review of fuzzy cognitive maps in medicine: Taxonomy, methods, and applications. - Abdollah Amirkhani; Elpiniki I. Papageorgiou; Akram Mohseni; Mohammad R. Mosavi (Comput. Methods Programs Biomed., 2017)

Rough cognitive ensembles. - Gonzalo Nápoles; Rafael Falcon; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Int. J. Approx. Reason., 2017)

A Fuzzy Cognitive Map Approach Applied in Cost-Benefit Analysis for Highway Projects. - Muhammed Emin Cihangir Bagdatli; Rifat Akbiyikli; Elpiniki I. Papageorgiou (Int. J. Fuzzy Syst., 2017)

Weighted aggregation of partial rankings using Ant Colony Optimization. - Gonzalo Nápoles; Rafael Falcon; Zoumpoulia Dikopoulou; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Neurocomputing, 2017)

A concept reduction approach for fuzzy cognitive map models in decision making and management. - Elpiniki I. Papageorgiou; Miklós F. Hatwágner; Adrienn Buruzs; László T. Kóczy (Neurocomputing, 2017)

A two-stage model for time series prediction based on fuzzy cognitive maps and neural networks. - Elpiniki I. Papageorgiou; Katarzyna Poczeta (Neurocomputing, 2017)

A Fuzzy Logic Modeling of Measures Addressing Shipping CO2 Emissions. - Evaggelia Lema; Anastasios Karaganis; Elpiniki Papageorgiou (J. Intell. Syst., 2017)

Application of fuzzy cognitive maps for crack categorization in columns of reinforced concrete structures. - Vijayalakshmi Senniappan; Jayashree Subramanian; Elpiniki I. Papageorgiou; Suji Mohan (Neural Comput. Appl., 2017)

Learning and Convergence of Fuzzy Cognitive Maps Used in Pattern Recognition. - Gonzalo Nápoles; Elpiniki Papageorgiou; Rafael Bello 001; Koen Vanhoof (Neural Process. Lett., 2017)

Efficiency in Energy Decision Support Systems Using Soft Computing Techniques. - Konstantinos Kokkinos; Elpiniki Papageorgiou; Vassilios Dafopoulos; Ioannis Adritsos (Intelligent Decision Support Systems for Sustainable Computing, 2017)

Temperature Forecasting for Energy Saving in Smart Buildings Based on Fuzzy Cognitive Map. - Katarzyna Poczeta; Lukasz Kubus; Alexander Yastrebov; Elpiniki I. Papageorgiou (AUTOMATION, 2018)

Fuzzy Reasoning in Cognitive Cities : An Exploratory Work on Fuzzy Analogical Reasoning Using Fuzzy Cognitive Maps. - Sara D'Onofrio; Stefan Markus Müller; Elpiniki I. Papageorgiou; Edy Portmann (FUZZ-IEEE, 2018)

Fuzzy Cognitive Maps and Fuzzy Logic applied in industrial processes control. - Lucas Botoni de Souza; Patrick Prieto Soares; Márcio Mendonça; Asmaa Mourhir; Elpiniki I. Papageorgiou (FUZZ-IEEE, 2018)

Medical Decision Support Tool from a Fuzzy-Rules Driven Bayesian Network. - Vasilios Zarikas; Elpiniki Papageorgiou; Damira Pernebayeva; Nurislam Tursynbek (ICAART (2), 2018)

Implementing Fuzzy Cognitive Maps with Neural Networks for Natural Gas Prediction. - Katarzyna Poczeta; Elpiniki I. Papageorgiou (ICTAI, 2018)

Development and Evaluation of a Fuzzy Inference System and a Neuro-Fuzzy Inference System for Grading Apple Quality. - Elpiniki I. Papageorgiou; Katerina Aggelopoulou; Theofanis A. Gemtos; George D. Nanos (Appl. Artif. Intell., 2018)

A novel medical decision support system based on fuzzy cognitive maps enhanced by intuitive and learning capabilities for modeling uncertainty. - Abdollah Amirkhani; Elpiniki I. Papageorgiou; Mohammad R. Mosavi; Karim Mohammadi (Appl. Math. Comput., 2018)

Application of Fuzzy Cognitive Map for geospatial dengue outbreak risk prediction of tropical regions of Southern India. - L. S. Jayashree; R. Lakshmi Devi; Nikolaos I. Papandrianos; Elpiniki I. Papageorgiou (Intell. Decis. Technol., 2018)

A novel hybrid method based on fuzzy cognitive maps and fuzzy clustering algorithms for grading celiac disease. - Abdollah Amirkhani; Mohammad R. Mosavi; Karim Mohammadi; Elpiniki I. Papageorgiou (Neural Comput. Appl., 2018)

Artificial Life Environment Modeled by Dynamic Fuzzy Cognitive Maps. - Lúcia Valéria Ramos de Arruda; Márcio Mendonça; Flávio Neves; Ivan Rossato Chrun; Elpiniki I. Papageorgiou (IEEE Trans. Cogn. Dev. Syst., 2018)

Two-Stage Learning Based Fuzzy Cognitive Maps Reduction Approach. - Miklós Ferenc Hatwágner; Engin Yesil; M. Furkan Dodurka; Elpiniki Papageorgiou; Leon Urbas; László T. Kóczy (IEEE Trans. Fuzzy Syst., 2018)

Applying Long Short-Term Memory Networks for natural gas demand prediction. - Athanasios Anagnostis; Elpiniki Papageorgiou; Vasileios Dafopoulos; Dionysis D. Bochtis (IISA, 2019)

Exploring deep learning capabilities in knee osteoarthritis case study for classification. - Eirini Christodoulou; Serafeim P. Moustakidis; Nikolaos I. Papandrianos; Dimitrios Tsaopoulos; Elpiniki Papageorgiou (IISA, 2019)

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)

Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective. - Serafeim P. Moustakidis; Eirini Christodoulou; Elpiniki Papageorgiou; Christos Kokkotis; Nikolaos I. Papandrianos; Dimitrios Tsaopoulos (Quantum Mach. Intell., 2019)

Retrieving Sparser Fuzzy Cognitive Maps Directly from Categorical Ordinal Dataset using the Graphical Lasso Models and the MAX-threshold Algorithm. - Zoumpoulia Dikopoulou; Elpiniki I. Papageorgiou; Koen Vanhoof (FUZZ-IEEE, 2020)

From Undirected Structures to Directed Graphical Lasso Fuzzy Cognitive Maps using Ranking-based Approaches. - Zoumpoulia Dikopoulou; Elpiniki I. Papageorgiou; Koen Vanhoof (FUZZ-IEEE, 2020)

Multi-robot exploration using Dynamic Fuzzy Cognitive Maps and Ant Colony Optimization. - Márcio Mendonça; Rodrigo Henrique Cunha Palácios; Elpiniki I. Papageorgiou; Lucas Botoni de Souza (FUZZ-IEEE, 2020)

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)

Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative. - Antonios Alexos; Christos Kokkotis; Serafeim P. Moustakidis; Elpiniki Papageorgiou; Dimitrios Tsaopoulos (IISA, 2020)

A Machine Learning workflow for Diagnosis of Knee Osteoarthritis with a focus on post-hoc explainability. - Christos Kokkotis; Serafeim P. Moustakidis; Elpiniki Papageorgiou; Giannis Giakas; Dimitrios Tsaopoulos (IISA, 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)

A Novel Fuzzy Inference Approach: Neuro-fuzzy Cognitive Map. - Abdollah Amirkhani; Hosna Nasiriyan-Rad; Elpiniki I. Papageorgiou (Int. J. Fuzzy Syst., 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)

Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients. - Serafeim P. Moustakidis; Athanasios Siouras; Nikolaos I. Papandrianos; Charis Ntakolia; Elpiniki Papageorgiou (IISA, 2021)

Short Survey of Artificial Intelligent Technologies for Defect Detection in Manufacturing. - Elpiniki I. Papageorgiou; Theodosis Theodosiou; George Margetis; Nikolaos Dimitriou; Paschalis Charalampous; Dimitrios Tzovaras; Ioannis Samakovlis (IISA, 2021)

An explainable machine learning pipeline for backorder prediction in inventory management systems. - Charis Ntakolia; Christos Kokkotis; Serafeim P. Moustakidis; Elpiniki Papageorgiou (PCI, 2021)

Exploring Classification of SPECT MPI images applying convolutional neural networks. - Nikolaos I. Papandrianos; Anna Feleki; Elpiniki Papageorgiou (PCI, 2021)

An Autonomous Illumination System for Vehicle Documentation Based on Deep Reinforcement Learning. - Lampros Leontaris; Nikolaos Dimitriou; Dimosthenis Ioannidis; Konstantinos Votis; Dimitrios Tzovaras; Elpiniki Papageorgiou (IEEE Access, 2021)

An integrated FCM-FBWM approach to assess and manage the readiness for blockchain incorporation in the supply chain. - Mandana Irannezhad; Sajjad Shokouhyar; Sadra Ahmadi; Elpiniki I. Papageorgiou (Appl. Soft Comput., 2021)

A deep learning approach for anthracnose infected trees classification in walnut orchards. - Athanasios Anagnostis; Aristotelis C. Tagarakis; Gabriela Asiminari; Elpiniki Papageorgiou; Dimitrios Kateris; Dimitrios Moshou; Dionysis Bochtis (Comput. Electron. Agric., 2021)

Triangular Neutrosophic Cognitive Map for Multistage Sequential Decision-Making Problems. - Salah Hasan Al-subhi; Elpiniki I. Papageorgiou; Pedro Piñero Pérez; Gaafar S. Mahdi; Luis Alvarado Acuña (Int. J. Fuzzy Syst., 2021)

A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology. - Nikolaos I. Papandrianos; Anna Feleki; Serafeim P. Moustakidis; Elpiniki I. Papageorgiou (IISA, 2022)

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)

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)

Prediction of Injuries in CrossFit Training: A Machine Learning Perspective. - Serafeim P. Moustakidis; Athanasios Siouras; Konstantinos Vassis; Ioannis Misiris; Elpiniki Papageorgiou; Dimitrios Tsaopoulos (Algorithms, 2022)

Precision-Based Weighted Blending Distributed Ensemble Model for Emotion Classification. - Gayathri Soman; M. V. Vivek; M. V. Judy; Elpiniki Papageorgiou; Vassilis C. Gerogiannis (Algorithms, 2022)

Effective Brain Connectivity for fNIRS With Fuzzy Cognitive Maps in Neuroergonomics. - Mehrin Kiani; Javier Andreu-Perez; Hani Hagras; Elpiniki I. Papageorgiou; Mukesh Prasad; Chin-Teng Lin (IEEE Trans. Cogn. Dev. Syst., 2022)

Smart cities and smart governance models for future cities. - Ilja Nastjuk; Simon Trang 001; Elpiniki I. Papageorgiou (Electron. Mark., 2022)

Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study. - Ioannis D. Apostolopoulos; Nikolaos I. Papandrianos; Elpiniki I. Papageorgiou; Dimitris J. Apostolopoulos (Mach. Learn. Knowl. Extr., 2022)

Risk Assessment Method for 5G-oriented DLMS/COSEM Communications. - Alexios Lekidis; Elpiniki I. Papageorgiou (CSCN, 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)

Abnormal Parathyroid Gland Localization in Scintigraphic Images Using a Vision Transformer Network. - Ioannis D. Apostolopoulos; Nikolaos D. Papathanasiou; Nikolaos I. Papandrianos; Elpiniki I. Papageorgiou; Dimitris J. Apostolopoulos (IISA, 2023)

Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging. - Anna Feleki; Ioannis D. Apostolopoulos; Elpiniki Papageorgiou; Serafeim P. Moustakidis; Nikolaos D. Papathanasiou; Dimitris J. Apostolopoulos; Konstantinos Kokkinos; Nikolaos I. Papandrianos (IISA, 2023)

Explainable Classification for Non-Small Cell Lung Cancer Based on Positron Emission Tomography Features and Clinical Data. - Agorastos-Dimitrios Samaras; Ioannis D. Apostolopoulos; Serafeim P. Moustakidis; Elpiniki Papageorgiou; Nikolaos D. Papathanasiou; Dimitris J. Apostolopoulos; Nikolaos I. Papandrianos (IISA, 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)

Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness. - Serafeim P. Moustakidis; Nikolaos I. Papandrianos; Eirini Christodolou; Elpiniki Papageorgiou; Dimitrios Tsaopoulos (Neural Comput. Appl., 2023)

A blockchain-enabled deep residual architecture for accountable, in-situ quality control in industry 4.0 with minimal latency. - 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 (Comput. Ind., 2023)

Investigating the Agreement with Human Readers and Generalisation Capabilities of a Transfer Learning Approach for Predicting the Malignancy of Solitary Pulmonary Nodules in CT Screening. - Ioannis D. Apostolopoulos; Nikolaos D. Papathanasiou; Dimitris J. Apostolopoulos; Nikolaos D. Papandrianos; Elpiniki I. Papageorgiou (IISA, 2024)

Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype. - Agorastos-Dimitrios Samaras; Anna Feleki; Ioannis D. Apostolopoulos; Serafeim P. Moustakidis; Elpiniki Papageorgiou; Konstantinos Kokkinos; Nikolaos I. Papandrianos (IISA, 2024)

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)

A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination. - Ioannis D. Apostolopoulos; Nikolaos D. Papathanasiou; Dimitris J. Apostolopoulos; Nikolaos I. Papandrianos; Elpiniki I. Papageorgiou (Big Data Cogn. Comput., 2024)