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The Challenge of Soft Computing Techniques for Tumor Characterization.

, , , , , and . ICAISC, volume 3070 of Lecture Notes in Computer Science, page 1031-1036. Springer, (2004)

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A review on Zero Energy Buildings and intelligent systems., and . IISA, page 1-6. IEEE, (2015)A Weight Adaptation Method for Fuzzy Cognitive Maps to a Process Control Problem., and . International Conference on Computational Science, volume 3037 of Lecture Notes in Computer Science, page 515-522. Springer, (2004)Mathematical Modelling of Decision Making Support Systems Using Fuzzy Cognitive Maps., and . Business Process Management, volume 444 of Studies in Computational Intelligence, Springer, (2013)Deep learning vs. wise learning: A critical and challenging overview (Plenary paper).. IISA, page 1-2. IEEE, (2016)Re-approaching fuzzy cognitive maps to increase the knowledge of a system., and . AI Soc., 33 (2): 175-188 (2018)Modeling Health Diseases Using Competitive Fuzzy Cognitive Maps., , and . AIAI, volume 412 of IFIP Advances in Information and Communication Technology, page 88-95. Springer, (2013)Learning algorithms for fuzzy cognitive maps., , and . EUSFLAT Conf., page 83-88. De Montfort University, Leicester, UK, (2001)Novel approach for fetal heart rate classification introducing grammatical evolution., , , , , and . Biomed. Signal Process. Control., 2 (2): 69-79 (2007)A new Mathematical Modell for COVID-19: A Fuzzy Cognitive Map Approach for Coronavirus Diseases.. IISA, page 1-6. IEEE, (2020)Overview of the triangle of knowledge: a driving force for sustainable growth in less developed nations.. AI Soc., 31 (3): 305-318 (2016)