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Deep Randomized Neural Networks.

, and . INNSBDDL (Tutorials), volume 896 of Studies in Computational Intelligence, page 43-68. Springer, (2019)

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Distributed music classification using Random Vector Functional-Link nets., , , , and . IJCNN, page 1-8. IEEE, (2015)PM 10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Study., , , , and . WIRN, volume 19 of Smart Innovation, Systems and Technologies, page 93-100. Springer, (2012)Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation., and . ACSSC, page 2224-2228. IEEE, (2019)Parallel and distributed training of neural networks via successive convex approximation., and . MLSP, page 1-6. IEEE, (2016)Combined Sparse Regularization for Nonlinear Adaptive Filters., , , , and . EUSIPCO, page 336-340. IEEE, (2018)Convolutional Neural Networks for the Detection of Esca Disease Complex in Asymptomatic Grapevine Leaves., , , , and . ICIAP Workshops (1), volume 14365 of Lecture Notes in Computer Science, page 418-429. Springer, (2023)GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates., , , , and . CVPR Workshops, page 2075-2085. IEEE, (2023)EGG-GAE: scalable graph neural networks for tabular data imputation., and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 2661-2676. PMLR, (2023)Conditional computation in neural networks: principles and research trends., , , , , and . CoRR, (2024)Efficient Data Augmentation Using Graph Imputation Neural Networks., , , and . IIH-MSP (1), volume 81 of Smart Innovation, Systems and Technologies, page 57-66. Springer, (2017)