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Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification: A Case Study for COVID-19.

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Implementing Adaptive Vectorial Centroid in Bayesian Logistic Regression for Interval Type-2 Fuzzy Sets., and . IJCCI (Selected Papers), volume 669 of Studies in Computational Intelligence, page 315-333. Springer, (2015)Generalised Fuzzy Bayesian Network with Adaptive Vectorial Centroid., and . IFSA-EUSFLAT, Atlantis Press, (2015)Interval Type-2 Fuzzy Multi Criteria Decision Making Based on Intuitive Multiple Centroid., , , and . SCDM, volume 978 of Advances in Intelligent Systems and Computing, page 211-221. Springer, (2020)Ranking of Interval Type-2 Fuzzy Numbers based on Centroid Point and Spread., , and . IJCCI (FCTA), page 131-140. SciTePress, (2015)Bayesian Logistic Regression using Vectorial Centroid for Interval Type-2 Fuzzy Sets., and . IJCCI (FCTA), page 69-79. SciTePress, (2015)Generalised hybrid fuzzy multi criteria decision making based on intuitive multiple centroid defuzzification.. University of Portsmouth, UK, (2016)British Library, EThOS.Large-Scale Group Decision-Making Method Using Hesitant Fuzzy Rule-Based Network for Asset Allocation., , , , and . Inf., 14 (11): 588 (2023)Interval Type 2- Fuzzy Rule based System Approach for Selection of Alternatives using TOPSIS., , , and . IJCCI (FCTA), page 112-120. SciTePress, (2015)Cardiovascular disease detection from high utility rare rule mining., , , , , and . Artif. Intell. Medicine, (2022)Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification: A Case Study for COVID-19., , , , and . Inf., 15 (1): 58 (2024)