User profiles for "author:Luis M Silva"

Luís M. Silva

- Verified email at ua.pt - Cited by 1970

Luís M. Silva

- Verified email at civil.uminho.pt - Cited by 258

Singlet and triplet energies of α-oligothiophenes: A spectroscopic, theoretical, and photoacoustic study: Extrapolation to polythiophene

JS de Melo, LM Silva, LG Arnaut… - The Journal of chemical …, 1999 - pubs.aip.org
The triplet state energies, ET (0–0), for the α-oligothiophenes (αn's) with n= 1–7, were
determined and vary from 18 000 cm− 1 (α2) to 13 000 cm− 1 (α7). The data were obtained …

In-plane behavior of cavity masonry infills and strengthening with textile reinforced mortar

F Akhoundi, G Vasconcelos, P Lourenço, LM Silva… - Engineering …, 2018 - Elsevier
The seismic vulnerability of masonry infilled reinforced concrete (rc) frames observed during
past earthquakes in some south European countries resulted in losses of human lives and …

High-content analysis of breast cancer using single-cell deep transfer learning

C Kandaswamy, LM Silva… - Journal of …, 2016 - journals.sagepub.com
High-content analysis has revolutionized cancer drug discovery by identifying substances
that alter the phenotype of a cell, which prevents tumor growth and metastasis. The high …

Portuguese Football Federation consensus statement 2020: nutrition and performance in football

R Abreu, P Figueiredo, P Beckert… - BMJ open sport & …, 2021 - bmjopensem.bmj.com
Nutrition is an undeniable part of promoting health and performance among football (soccer)
players. Nevertheless, nutritional strategies adopted in elite football can vary significantly …

Data classification with multilayer perceptrons using a generalized error function

LM Silva, JM de Sá, LA Alexandre - Neural Networks, 2008 - Elsevier
The learning process of a multilayer perceptron requires the optimization of an error function
E (y, t) comparing the predicted output, y, and the observed target, t. We review some usual …

Using different cost functions to train stacked auto-encoders

T Amaral, LM Silva, LA Alexandre… - 2013 12th Mexican …, 2013 - ieeexplore.ieee.org
Deep neural networks comprise several hidden layers of units, which can be pre-trained one
at a time via an unsupervised greedy approach. A whole network can then be trained (fine …

The basics of gait analysis

LM Silva, N Stergiou - Biomechanics and gait analysis, 2020 - books.google.com
For man bends his legs convexly, a bird has his bent concavely; again, man bends his arms
and legs in opposite directions, for he has his arms bent convexly, but his legs concavely …

Improving deep neural network performance by reusing features trained with transductive transference

C Kandaswamy, LM Silva, LA Alexandre… - … Neural Networks and …, 2014 - Springer
Transfer Learning is a paradigm in machine learning to solve a target problem by reusing
the learning with minor modifications from a different but related source problem. In this …

Improving transfer learning accuracy by reusing stacked denoising autoencoders

C Kandaswamy, LM Silva, LA Alexandre… - … on Systems, Man …, 2014 - ieeexplore.ieee.org
Transfer learning is a process that allows reusing a learning machine trained on a problem
to solve a new problem. Transfer learning studies on shallow architectures show low …

Psychology of peace: Findings and challenges for the multidimensional transformation of violent social practices.

W López-López, C Pineda-Marín, A Correa-Chica… - 2021 - psycnet.apa.org
This chapter outlines a multidimensional analytical approach to peace grounded in the field
of peace studies to suggest future research directions. This multidimensional model of …