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ORCIDPeter P. Groumpos
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- affiliation: University of Patras, Greece
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2020 – today
- 2024
[c40]Andreas Polydoropoulos, Fotios Nestoras, Peter P. Groumpos:
Enhancing Efficiency and Quality of Services in the Public Service Sector of a Smart City, Through State Fuzzy Cognitive Maps. IISA 2024: 1-7- 2023
- [c39]George A. Krimpas
, Nikolaos A Krimpas, Peter P. Groumpos:
An Overview of Making Decisions on Medical Problems Using Fuzzy Cognitive Maps. IISA 2023: 1-6 - 2022
- [j26]Ioannis D. Apostolopoulos, Ifigeneia Athanasoula, Mpesi Tzani, Peter P. Groumpos:
An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME. Mach. Learn. Knowl. Extr. 4(4): 1124-1135 (2022) - [c38]Anastasiou Konstantinos, Dimitris Tsipianitis, Peter P. Groumpos:
Design of digital Arduino based sensor for safety belt tensioning in automotive transferring using LabVIEW. IISA 2022: 1-5 - 2021
- [c37]Sotiris Lycourghiotis, Vassiliki Mpelogianni, Peter P. Groumpos:
Smart Cities and Intelligent Transportation in Traditional Cities. Ten Design Principles and One Case Study. IISA 2021: 1-7 - [c36]Stefanos Michos, Dimitris Tsipianitis, Peter P. Groumpos:
Expert Intelligence Tools for Proactive Energy Management in Buildings. IISA 2021: 1-4 - 2020
- [c35]Peter P. Groumpos:
A new Mathematical Modell for COVID-19: A Fuzzy Cognitive Map Approach for Coronavirus Diseases. IISA 2020: 1-6 - [c34]Peter P. Groumpos, Vassiliki Mpelogianni:
New Advanced Technology Methods for Energy Efficiency of Buildings. IISA 2020: 1-8 - [c33]Peter P. Groumpos, Vassiliki Mpelogianni, Dimitris Tsipianitis, Aimilia Papagiannaki, John Gionas, Elan Roy, Amit Aflalo:
Building Energy Management Methods based on Fuzzy Logic and Expert Intelligence. IISA 2020: 1-4 - [c32]Eleni S. Vergini, Peter P. Groumpos:
Advanced Fuzzy Cognitive Maps Modelling a Nearly Zero Energy Building. IISA 2020: 1-5 - [i2]Ioannis D. Apostolopoulos, Peter P. Groumpos:
Non-invasive modelling methodology for the diagnosis of Coronary Artery Disease using Fuzzy Cognitive Maps. CoRR abs/2004.02600 (2020) - [i1]Ioannis D. Apostolopoulos, Peter P. Groumpos, Dimitris J. Apostolopoulos:
State Space Advanced Fuzzy Cognitive Map approach for automatic and non Invasive diagnosis of Coronary Artery Disease. CoRR abs/2004.03372 (2020)
2010 – 2019
- 2018
- [j25]Vassiliki Mpelogianni, Peter P. Groumpos:
Re-approaching fuzzy cognitive maps to increase the knowledge of a system. AI Soc. 33(2): 175-188 (2018) - [c31]Peter P. Groumpos:
Overcoming Intelligently Some of the Drawbacks of Fuzzy Cognitive Maps. IISA 2018: 1-6 - 2017
- [j24]Jianhua Zhang, Jia-Jun Xia, Jonathan M. Garibaldi, Petros P. Groumpos, Ru-Bin Wang:
Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets. Comput. Methods Programs Biomed. 144: 147-163 (2017) - [j23]Peter P. Groumpos:
A Critical Overview of Modelling and Simulating Methods for Complex Dynamic Systems. Simul. Notes Eur. 27(4): 213-223 (2017) - 2016
- [j22]Peter P. Groumpos:
Overview of the triangle of knowledge: a driving force for sustainable growth in less developed nations. AI Soc. 31(3): 305-318 (2016) - [c30]Peter P. Groumpos:
Deep learning vs. wise learning: A critical and challenging overview (Plenary paper). IISA 2016: 1-2 - [c29]Peter P. Groumpos, Vassiliki Mpelogianni:
An overview of fuzzy cognitive maps for energy efficiency in intelligent buildings. IISA 2016: 1-6 - [c28]Vassiliki Mpelogianni, Peter P. Groumpos:
Towards a new approach of fuzzy cognitive maps. IISA 2016: 1-6 - [c27]Eleni S. Vergini, Theodora-Eleni Ch. Kostoula, Petros P. Groumpos:
A comperative study using the methods of simulated annealing and Non-linear Hebbian Learning for Fuzzy Cognitive Maps performances. IISA 2016: 1-6 - [c26]Antigoni P. Anninou, Poulios Panagiotis, Peter P. Groumpos, Gliatis Ioannis:
A new meniscus injury diagnostic model using fuzzy cognitive maps. MED 2016: 7-12 - [c25]Vassiliki Mpelogianni, Peter P. Groumpos:
A revised approach in modeling fuzzy cognitive maps. MED 2016: 350-354 - [c24]Peter P. Groumpos, Vasilios P. Groumpos:
Modeling vineyards using fuzzy cognitive maps. MED 2016: 581-586 - 2015
- [j21]Eleni S. Vergini, Peter P. Groumpos:
A Critical Overview of Net Zero Energy Buildings and Fuzzy Cognitive Maps. Int. J. Monit. Surveillance Technol. Res. 3(3): 20-43 (2015) - [j20]Vassiliki Mpelogianni, Peter P. Groumpos:
Using Fuzzy Control Methods for Increasing the Energy Efficiency of Buildings. Int. J. Monit. Surveillance Technol. Res. 3(4): 1-22 (2015) - [c23]Vassiliki Mpelogianni, Peter P. Groumpos, Dimitris Tsipianitis, Peter Mantas, Stefanos Michos, Sinan Pravadalioglu:
A fuzzy inference tool for the achievement of sustainable energy solutions. IISA 2015: 1-6 - [c22]O. D. Ntarlas, Peter P. Groumpos:
Unsupervised learning methods for foreign investment using fuzzy cognitive maps. IISA 2015: 1-5 - [c21]Eleni S. Vergini, Peter P. Groumpos:
A review on Zero Energy Buildings and intelligent systems. IISA 2015: 1-6 - 2014
- [j19]Peter P. Groumpos:
Large Scale Systems and Fuzzy Cognitive Maps: A critical overview of challenges and research opportunities. Annu. Rev. Control. 38(1): 93-102 (2014) - [j18]Antigoni P. Anninou, Peter P. Groumpos:
Modeling of Parkinson's Disease Using Fuzzy Cognitive Maps and Non-Linear Hebbian Learning. Int. J. Artif. Intell. Tools 23(5) (2014) - 2013
- [c20]Antigoni P. Anninou, Peter P. Groumpos, Polychronopoulos Panagiotis:
Modeling Health Diseases Using Competitive Fuzzy Cognitive Maps. AIAI 2013: 88-95 - [c19]Michal Gregor, Peter P. Groumpos:
Training Fuzzy Cognitive Maps Using Gradient-Based Supervised Learning. AIAI 2013: 547-556 - [c18]Ioannis E. Karagiannis, Peter P. Groumpos:
Modeling and analysis of a hybrid-energy system using fuzzy cognitive maps. MED 2013: 257-264 - [c17]Antigoni P. Anninou, Peter P. Groumpos:
Non Linear Hebbian Learning techniques and Fuzzy Cognitive Maps in modeling the Parkinson's disease. MED 2013: 709-715 - [p1]Peter P. Groumpos, Ioannis E. Karagiannis:
Mathematical Modelling of Decision Making Support Systems Using Fuzzy Cognitive Maps. Business Process Management 2013: 299-337 - 2012
- [c16]Peter P. Groumpos:
The challenge of modeling Decision support systems for medical problems using Fuzzy Cognitive Maps: An overview. BIBE 2012: 132-138 - [c15]Peter P. Groumpos, Antigoni P. Anninou:
A theoretical mathematical modeling of Parkinson's disease using Fuzzy Cognitive Maps. BIBE 2012: 677-682
2000 – 2009
- 2008
- [j17]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) - 2007
- [j16]George K. Georgoulas, Dimitris Gavrilis, Ioannis G. Tsoulos, Chrysostomos D. Stylios, João Bernardes, Peter P. Groumpos:
Novel approach for fetal heart rate classification introducing grammatical evolution. Biomed. Signal Process. Control. 2(2): 69-79 (2007) - [c14]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
- [j15]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) - [j14]George K. Georgoulas, Chrysostomos D. Stylios, Peter P. Groumpos:
Feature Extraction and Classification of Fetal Heart Rate Using Wavelet Analysis and Support Vector Machines. Int. J. Artif. Intell. Tools 15(3): 411-432 (2006) - [j13]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) - [j12]George K. Georgoulas, Chrysostomos D. Stylios, Petros P. Groumpos:
Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines. IEEE Trans. Biomed. Eng. 53(5): 875-884 (2006) - [c13]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 - [c12]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 - [c11]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 - [c10]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
Introducing Interval Analysis in Fuzzy Cognitive Map Framework. SETN 2006: 571-575 - 2005
- [j11]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) - [j10]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) - [j9]Elpiniki Papageorgiou, Peter P. Groumpos:
A weight adaptation method for fuzzy cognitive map learning. Soft Comput. 9(11): 846-857 (2005) - 2004
- [j8]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) - [j7]Chrysostomos D. Stylios, Petros P. Groumpos:
Modeling complex systems using fuzzy cognitive maps. IEEE Trans. Syst. Man Cybern. Part A 34(1): 155-162 (2004) - [c9]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 - [c8]Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Peter P. Groumpos, Michael N. Vrahatis:
Fuzzy Cognitive Maps Learning through Swarm Intelligence. ICAISC 2004: 344-349 - [c7]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 - [c6]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
- [j6]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) - [c5]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 - [c4]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
- [c3]Elpiniki Papageorgiou, Chrysostomos D. Stylios, Peter P. Groumpos:
Learning algorithms for fuzzy cognitive maps. EUSFLAT Conf. 2001: 83-88 - [c2]Chrysostomos D. Stylios, Pamela C. Georgopoulos, Petros P. Groumpos:
Decision support system for radio therapy based on fuzzy cognitive maps. EUSFLAT Conf. 2001: 431-434 - 2000
- [j5]Chrysostomos D. Stylios, Peter P. Groumpos:
Fuzzy Cognitive Maps in modeling supervisory control systems. J. Intell. Fuzzy Syst. 8(1): 83-98 (2000)
1990 – 1999
- 1999
- [j4]Chrysostomos D. Stylios, Peter P. Groumpos, Voula C. Georgopoulos:
Fuzzy Cognitive Map Approach to Process Control Systems Chrysostomos. J. Adv. Comput. Intell. Intell. Informatics 3(5): 409-417 (1999) - [j3]Chrysostomos D. Stylios, Peter P. Groumpos:
A Soft Computing Approach for Modelling the Supervisor of Manufacturing Systems. J. Intell. Robotic Syst. 26(3-4): 389-403 (1999) - 1998
- [j2]Chrysostomos D. Stylios, Peter P. Groumpos:
The challenge of modelling supervisory systems using fuzzy cognitive maps. J. Intell. Manuf. 9(4): 339-345 (1998) - [c1]Chrysostomos D. Stylios, Peter P. Groumpos:
Fuzzy cognitive map model for supervisory manufacture systems. BASYS 1998: 137-146 - 1995
- [j1]Peter P. Groumpos:
The challenge of Intelligent Manufacturing Systems (IMS): the European IMS information event. J. Intell. Manuf. 6(1): 67-77 (1995)
Coauthor Index
aka: Elpiniki Papageorgiou
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