R. Mendes

发表

Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimization

P. Cortez, José Neves, Miguel Rocha, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

What Makes a Successful Society? Experiments with Population Topologies in Particle Swarms

José Neves, Rui Mendes, José Neves, 2004, SBIA.

Integrating biological databases in the context of transcriptional regulatory networks

Rafael Pereira, Rui Mendes, Rafael T. Pereira, 2014 .

An approach towards the reconstruction of regulatory networks

Hugo Costa, Rafael Pereira, Rui Mendes, 2016 .

Reconstructing transcriptional Regulatory Networks using data integration and Text Mining

Miguel Rocha, Sónia Carneiro, Hugo Costa, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Particle swarms for feedforward neural network training

Paulo Cortez, Miguel Rocha, José Neves, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction

Paulo Cortez, Pedro José Pereira, Rui Mendes, 2020, Expert Syst. Appl..

Using Deep Learning for Mobile Marketing User Conversion Prediction

Paulo Cortez, Rui Mendes, Antoine Moreau, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Reg4OptFlux: an OptFlux plug-in that comprises meta-heuristics approaches for Metabolic engineering using integrated models

Miguel Rocha, Paulo Vilaça, Rui Mendes, 2014, 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014).

Natural computation meta-heuristics for the in silico optimization of microbial strains

Miguel Rocha, Eugénio C. Ferreira, Jens Nielsen, 2008, BMC Bioinformatics.

A framework for the integrated analysis of metabolic and regulatory networks

Miguel Rocha, Eugénio C. Ferreira, Isabel Rocha, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

A realistic scooter rebalancing system via metaheuristics

Guilherme Fernandes, Nuno Oliveira, Paulo Cortez, 2020, GECCO Companion.

Multi-step time series prediction intervals using neuroevolution

Paulo Cortez, Pedro José Pereira, Rui Mendes, 2019, Neural Computing and Applications.

Multi-objective Learning of Neural Network Time Series Prediction Intervals

Paulo Cortez, Rui Mendes, Pedro José Pereira, 2017, EPIA.

Multi-step time series prediction intervals using neuroevolution

P. Cortez, R. Mendes, P. Pereira, 2019, Neural Computing and Applications.

Optimization of fed-batch fermentation processes with bio-inspired algorithms

Miguel Rocha, Eugénio C. Ferreira, Isabel Rocha, 2014, Expert Syst. Appl..

Evaluating Simulated Annealing Algorithms in the Optimization of Bacterial Strains

Miguel Rocha, Eugénio C. Ferreira, Paulo Maia, 2007, EPIA Workshops.