Search Results - "Lopes, Noel"

An evaluation of multiple feed-forward networks on GPUs by Lopes, Noel, Ribeiro, Bernardete

“…The Graphics Processing Unit (GPU) originally designed for rendering graphics and which is difficult to program for other tasks, has since evolved into a…”
Get more information

Towards adaptive learning with improved convergence of deep belief networks on graphics processing units by Lopes, Noel, Ribeiro, Bernardete

“…In this paper we focus on two complementary approaches to significantly decrease pre-training time of a deep belief network (DBN). First, we propose an…”
Get full text

Towards adaptive learning with improved convergence of deep belief networks on graphics processing units : COMPUTER VISION APPLYING PATTERN RECOGNITION TECHNIQUES by LOPES, Noel, RIBEIRO, Bernardete

Get full text

Distinct metabolic programs established in the thymus control effector functions of γδ T cell subsets in tumor microenvironments by Lopes, Noel, McIntyre, Claire, Martin, Stefania, Raverdeau, Mathilde, Sumaria, Nital, Kohlgruber, Ayano C., Fiala, Gina, Agudelo, Leandro Z., Dyck, Lydia, Kane, Harry, Douglas, Aaron, Cunningham, Stephen, Prendeville, Hannah, Loftus, Roisin, Carmody, Colleen, Pierre, Philippe, Kellis, Manolis, Brenner, Michael, Argüello, Rafael J., Silva-Santos, Bruno, Pennington, Daniel J., Lynch, Lydia

“…© The Author(s), under exclusive licence to Springer Nature America, Inc. 2021 Metabolic programming controls immune cell lineages and functions, but little is…”
Get full text

GPU-based fast clustering via K-Centres and k-NN mode seeking for geospatial industry applications by Uribe-Hurtado, Ana-Lorena, Orozco-Alzate, Mauricio, Lopes, Noel, Ribeiro, Bernardete

“…The emerging trends in data industry, particularly those related to the repeated processing of data streams, are pushing the limits of computer systems and…”
Get full text

Novel Trends in Scaling Up Machine Learning Algorithms by Lopes, Noel, Ribeiro, Bernardete

“…Big Data has been a catalyst force for the Machine Learning (ML) area, forcing us to rethink existing strategies in order to create innovative solutions that…”
Get full text

Machine Learning for Adaptive Multi-Core Machines by de Jesus Mendonça Lopes, Noel

“…Today, the increasing complexity, performance requirements and cost of current (and future) applications in society is transversal to a wide range of…”
Get full text

Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval by Ribeiro, Bernardete, Lopes, Noel, Silva, Catarina

“…Handwritten signature recognition is one important component of biometric authentication. This is a central process in a broad range of areas requiring…”
Get full text

Signature identification via efficient feature selection and GPU-based SVM classifier by Ribeiro, Bernardete, Lopes, Noel, Goncalves, Joao

“…The problem of handwritten signature recognition is considered significant in biometrics, in particular for determining the validity of official documents. The…”
Get full text

A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework by Lopes, Noel, Ribeiro, Bernardete

“…Neural Networks (NN) have proven to be able to successfully solve problems in many areas. However, for large scale real problems, data is often incomplete…”
Get full text

Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors by Lopes, N., Ribeiro, B., Goncalves, J.

“…Deep learning architecture models by contrast with shallow models draw on the insights of biological inspiration which has been a challenge since the inception…”
Get full text

A fast optimized semi-supervised non-negative Matrix Factorization algorithm by Lopes, N., Ribeiro, B.

“…Non-negative Matrix Factorization (NMF) is an unsupervised technique that projects data into lower dimensional spaces, effectively reducing the number of…”
Get full text

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units by Lopes, N, Ribeiro, B, Quintas, R

“…The Graphics Processing Unit (GPU) is a highly parallel, many-core device with enormous computational power, especially well-suited to address Machine Learning…”
Get full text

High-performance bankruptcy prediction model using Graphics Processing Units by Ribeiro, B, Lopes, N, Silva, C

“…In recent years the the potential and programmability of Graphics Processing Units (GPU) has raised a note-worthy interest in the research community for…”
Get full text

Improving recall values in breast cancer diagnosis with Incremental Background Knowledge by Silva, C, Ribeiro, B, Lopes, N

“…Cancer diagnosis is generally the process of using some form of physical or genetic tests or exams, usually referred as patient data, to detect the disease…”
Get full text