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Multilayer perceptrons

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

Machine learning and statistics to qualify environments through multi-traits in Coffea arabica

Weverton Gomes da Costa, Ivan de Paiva Barbosa, [ ... ], Antonio Carlos Baião de Oliveira

Artificial intelligence may offer insight into factors determining individual TSH level

Prasanna Santhanam, Tanmay Nath, Faiz Khan Mohammad, Rexford S. Ahima

Integration of resting state functional MRI into clinical practice - A large single institution experience

Eric C. Leuthardt, Gloria Guzman, [ ... ], Tammie L. S. Benzinger

Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models

Oswaldo Santos Baquero, Lidia Maria Reis Santana, Francisco Chiaravalloti-Neto

Use of data mining techniques to classify soil CO₂ emission induced by crop management in sugarcane field

Camila Viana Vieira Farhate, Zigomar Menezes de Souza, [ ... ], João Luís Nunes Carvalho

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