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Multilayer perceptrons

Devising novel performance measures for assessing the behavior of multilayer perceptrons trained on regression tasks

Giuliano Armano, Andrea Manconi

A neutral comparative analysis of additive, multiplicative, and mixed quantitative randomized response models

Muhammad Azeem, Sidra Ali

Training machine learning algorithms for automatic facial coding: The role of emotional facial expressions’ prototypicality

Björn Büdenbender, Tim T. A. Höfling, Antje B. M. Gerdes, Georg W. Alpers

Evaluations on supervised learning methods in the calibration of seven-hole pressure probes

Shuni Zhou, Guangxing Wu, [ ... ], Zhiyu Tao

Predicting adverse drug effects: A heterogeneous graph convolution network with a multi-layer perceptron approach

Y.-H. Chen, Y.-T. Shih, C.-S. Chien, C.-S. Tsai

Multi-layer perceptron classification & quantification of neuronal survival in hypoxic-ischemic brain image slices using a novel gradient direction, grey level co-occurrence matrix image training

Saheli Bhattacharya, Laura Bennet, Joanne O. Davidson, Charles P. Unsworth

Monitoring and early warning of a metal mine tailings pond based on a deep learning bidirectional recurrent long and short memory network

Zhanjie Jing, Xiaohong Gao

Research on image content description in Chinese based on fusion of image global and local features

Dongyi Kong, Hong Zhao, Xiangyan Zeng

Using an artificial neural network to develop an optimal model of straight punch in boxing and training in punch techniques based on this model and real-time feedback

Ilshat Khasanshin, Aleksey Osipov

Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet

YueQun Wang, LiYan Dong, YongLi Li, Hao Zhang

A message-passing multi-task architecture for the implicit event and polarity detection

Chunli Xiang, Junchi Zhang, Donghong Ji

A deep learning-based method for grip strength prediction: Comparison of multilayer perceptron and polynomial regression approaches

Jaejin Hwang, Jinwon Lee, Kyung-Sun Lee

Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data

Tomohisa Seki, Yoshimasa Kawazoe, Kazuhiko Ohe

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