ANGE - Automatic Neural Generator. - Leonardo Reis; Luis Aguiar; Darío Baptista; Fernando Morgado Dias (ICANN (2), 2011)

A survey of software and hardware use in artificial neural networks. - Darío Baptista; Sandy Abreu; Filipe Freitas; Rita Vasconcelos; Fernando Morgado Dias (Neural Comput. Appl., 2013)

Low-resource hardware implementation of the hyperbolic tangent for artificial neural networks. - Darío Baptista; Fernando Morgado Dias (Neural Comput. Appl., 2013)

A survey of artificial neural network training tools. - Darío Baptista; Fernando Morgado Dias (Neural Comput. Appl., 2013)

A software tool for automatic generation of neural hardware. - Leonardo Reis; Luis Aguiar; Darío Baptista; Fernando Morgado Dias (Int. Arab J. Inf. Technol., 2014)

Hardware implementation of an artificial neural network model to predict the energy production of a photovoltaic system. - Darío Baptista; Sandy Abreu; Carlos M. Travieso-González; Fernando Morgado Dias (Microprocess. Microsystems, 2017)

Automatic general-purpose neural hardware generator. - Darío Baptista; Fernando Morgado Dias (Neural Comput. Appl., 2017)

Configurable N-fold Hardware Architecture for Convolutional Neural Networks. - Darío Baptista; Fernando Morgado Dias; Leonel Sousa (ICBEA, 2018)

Raising the Abstraction Level of a Deep Learning Design on FPGAs. - Darío Baptista; Leonel Sousa; Fernando Morgado Dias (IEEE Access, 2020)

Greedy based convolutional neural network optimization for detecting apnea. - Sheikh Shanawaz Mostafa; Darío Baptista; Antonio G. Ravelo-García; Gabriel Juliá-Serdá; Fernando Morgado Dias (Comput. Methods Programs Biomed., 2020)

Comparing different solutions for forecasting the energy production of a wind farm. - Darío Baptista; João Paulo Carvalho 001; Fernando Morgado Dias (Neural Comput. Appl., 2020)