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Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results.

, and . Neural Networks, 11 (1): 15-37 (1998)

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Inside PageRank., , and . ACM Trans. Internet Techn., 5 (1): 92-128 (2005)Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results., and . Neural Networks, 11 (1): 15-37 (1998)COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation., , , and . ICANN (3), volume 11729 of Lecture Notes in Computer Science, page 238-250. Springer, (2019)On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures., and . IEEE Trans. Neural Networks Learn. Syst., 25 (8): 1553-1565 (2014)Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification?, and . IEEE Trans. Pattern Anal. Mach. Intell., 20 (11): 1121-1132 (1998)Computing customized page ranks., , and . ACM Trans. Internet Techn., 6 (4): 381-414 (2006)Computational Capabilities of Graph Neural Networks., , , , and . IEEE Trans. Neural Networks, 20 (1): 81-102 (2009)Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places., , , , , , , , and . I2MTC, page 1-6. IEEE, (2021)Robust Prostate Cancer Classification with Siamese Neural Networks., , and . ISVC (2), volume 12510 of Lecture Notes in Computer Science, page 180-189. Springer, (2020)Modular Multi-Source Prediction of Drug Side-Effects With DruGNN., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (2): 1211-1220 (March 2023)