Noel Lopes

According to our database, Noel Lopes authored at least 31 papers between 2003 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

GPU-based fast clustering via K-Centres and k-NN mode seeking for geospatial industry applications.

Ana-Lorena Uribe-Hurtado, Mauricio Orozco-Alzate, Noel Lopes, Bernardete Ribeiro

Comput. Ind., 2020

2019

Predicting Student Failure in an Introductory Programming Course with Multiple Back-Propagation.

José Figueiredo, Noel Lopes, Francisco José García-Peñalvo

Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality, 2019

2017

Novel Trends in Scaling Up Machine Learning Algorithms.

Noel Lopes, Bernardete Ribeiro

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms.

Noel Lopes, Bernardete Ribeiro

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015

Learning the hash code with generalised regression neural networks for handwritten signature biometric data retrieval.

Bernardete Ribeiro, Noel Lopes, Catarina Silva

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

On the Impact of Distance Metrics in Instance-Based Learning Algorithms.

Noel Lopes, Bernardete Ribeiro

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2014

Machine Learning for Adaptive Multi-Core Machines

Noel Lopes

PhD thesis, 2014

Towards adaptive learning with improved convergence of deep belief networks on graphics processing units.

Noel Lopes, Bernardete Ribeiro

Pattern Recognit., 2014

Signature identification via efficient feature selection and GPU-based SVM classifier.

Bernardete Ribeiro, Noel Lopes, João Gonçalves

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Extreme Learning Classifier with Deep Concepts.

Bernardete Ribeiro, Noel Lopes

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012

Towards a hybrid NMF-based neural approach for face recognition on GPUs.

Noel Lopes, Bernardete Ribeiro

Int. J. Data Min. Model. Manag., 2012

Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors.

Noel Lopes, Bernardete Ribeiro, João Gonçalves

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Multi-threaded Support Vector Machines for Pattern Recognition.

João Gonçalves, Noel Lopes, Bernardete Ribeiro

Proceedings of the Neural Information Processing - 19th International Conference, 2012

An Incremental Hypersphere Learning Framework for Protein Membership Prediction.

Noel Lopes, Daniel Correia, Carlos Pereira, Bernardete Ribeiro, António Dourado

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Improving Convergence of Restricted Boltzmann Machines via a Learning Adaptive Step Size.

Noel Lopes, Bernardete Ribeiro

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011

An Evaluation of Multiple Feed-Forward Networks on GPUs.

Noel Lopes, Bernardete Ribeiro

Int. J. Neural Syst., 2011

A fast optimized semi-supervised non-negative Matrix Factorization algorithm.

Noel Lopes, Bernardete Ribeiro

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Deep Belief Networks for Financial Prediction.

Bernardete Ribeiro, Noel Lopes

Proceedings of the Neural Information Processing - 18th International Conference, 2011

An Incremental Class Boundary Preserving Hypersphere Classifier.

Noel Lopes, Bernardete Ribeiro

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Evaluation of a Resource Allocating Network with Long Term Memory Using GPU.

Bernardete Ribeiro, Ricardo Quintas, Noel Lopes

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures.

Noel Lopes, Bernardete Ribeiro

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010

Improving recall values in breast cancer diagnosis with Incremental Background Knowledge.

Catarina Silva, Bernardete Ribeiro, Noel Lopes

Proceedings of the International Joint Conference on Neural Networks, 2010

High-performance bankruptcy prediction model using Graphics Processing Units.

Bernardete Ribeiro, Noel Lopes, Catarina Silva

Proceedings of the International Joint Conference on Neural Networks, 2010

A strategy for dealing with missing values by using selective activation neurons in a multi-topology framework.

Noel Lopes, Bernardete Ribeiro

Proceedings of the International Joint Conference on Neural Networks, 2010

Non-negative Matrix Factorization Implementation Using Graphic Processing Units.

Noel Lopes, Bernardete Ribeiro

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Stochastic GPU-based Multithread Implementation of Multiple Back-propagation.

Noel Lopes, Bernardete Ribeiro

Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units.

Noel Lopes, Bernardete Ribeiro, Ricardo Quintas

Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

A Hybrid Face Recognition Approach Using GPUMLib.

Noel Lopes, Bernardete Ribeiro

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009

GPU Implementation of the Multiple Back-Propagation Algorithm.

Noel Lopes, Bernardete Ribeiro

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units.

Noel Lopes, Bernardete Ribeiro

Proceedings of the Progress in Pattern Recognition, 2009

2003

An Efficient Gradient-based Learning Algorithm Applied to Neural Networks with Selective Actuation Neurons.

Noel Lopes, Bernardete Ribeiro

Neural Parallel Sci. Comput., 2003