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Interval type-2 modified fuzzy c-regression model clustering algorithm in TS Fuzzy Model identification.

, and . FUZZ-IEEE, page 1671-1676. IEEE, (2016)

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Developing Generative Adversarial Networks for Classification and Clustering: Overcoming Class Imbalance and Catastrophic Forgetting.. University of New South Wales, Sydney, Australia, (2022)base-search.net (ftunswworks:oai:unsworks.library.unsw.edu.au:1959.4/100601).TS fuzzy model identification by a novel objective function based fuzzy clustering algorithm., and . CIEL, page 41-47. IEEE, (2014)Latent Preserving Generative Adversarial Network for Imbalance Classification., , , , , and . ICIP, page 3712-3716. IEEE, (2022)X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams., , , and . IEEE Trans. Artif. Intell., 5 (8): 4001-4012 (August 2024)AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer., , , , , and . ICRA, page 10657-10664. IEEE, (2024)Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs., , , , and . CoRR, (2024)Modelling and Sliding Mode Control of a Stereo Vision Augmented 6 DoF Quadrotor System., , , , , and . ICAR, page 425-430. IEEE, (2023)Does Adversarial Oversampling Help us?, , , , and . CIKM, page 2970-2973. ACM, (2021)Unlocking the capabilities of explainable few-shot learning in remote sensing., , , , and . Artif. Intell. Rev., 57 (7): 169 (July 2024)Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces., , and . CoRR, (2021)