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Risk evaluation of colluvial cutting slope based on fuzzy analytic hierarchy process and multilevel fuzzy comprehensive evaluation.

, , , , , and . J. Intell. Fuzzy Syst., 37 (3): 4253-4271 (2019)

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Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations., , , , , and . IJCAI, page 3268-3274. ijcai.org, (2019)Adversarial Adaptive Interpolation for Regularizing Representation Learning and Image Synthesis in Autoencoders., , , , , and . ICME, page 1-6. IEEE, (2021)High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition., , , , and . AAAI, page 8366-8374. AAAI Press, (2021)Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks., , , , and . ICPR, page 37-42. IEEE Computer Society, (2018)Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin., , , , , , , , , and 29 other author(s). ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 173-182. JMLR.org, (2016)A Deep Neural Network for Modeling Music., , , , , , , and . ICMR, page 379-386. ACM, (2015)Locality-Sensitive Term Weighting for Short Text Clustering., , , and . ICONIP (1), volume 10634 of Lecture Notes in Computer Science, page 434-444. Springer, (2017)Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning., , , , , and . IEEE Multim., 29 (3): 57-68 (2022)Risk evaluation of colluvial cutting slope based on fuzzy analytic hierarchy process and multilevel fuzzy comprehensive evaluation., , , , , and . J. Intell. Fuzzy Syst., 37 (3): 4253-4271 (2019)Learning engagement via promoting situational interest in a blended learning environment., , , and . J. Comput. High. Educ., 31 (2): 408-425 (2019)