Rui Mendes

Orcid: 0000-0002-5321-6863

Affiliations:
  • University of Minho, Department of Informatics, Braga, Portugal


According to our database1, Rui Mendes authored at least 36 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Deep Learning-Based Decision Support System for Mobile Performance Marketing.
Int. J. Inf. Technol. Decis. Mak., March, 2023

2022
Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing.
Softw. Impacts, 2022

Cherry-Picking Meta-heuristic Algorithms and Parameters for Real Optimization Problems.
Proceedings of the Progress in Artificial Intelligence, 2022

2021
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction.
Expert Syst. Appl., 2021

Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

A Teaching Assistant for the C Language (Short Paper).
Proceedings of the Second International Computer Programming Education Conference, 2021

Moopec: A Tool for Creating Programming Problems.
Proceedings of the Second International Computer Programming Education Conference, 2021

2020
Multi-step time series prediction intervals using neuroevolution.
Neural Comput. Appl., 2020

A realistic scooter rebalancing system via metaheuristics.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Hunting Ancestors: A Unified Approach for Discovering Genealogical Information.
Proceedings of the 8th Symposium on Languages, Applications and Technologies, 2019

Using Deep Learning for Mobile Marketing User Conversion Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019

Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Using Neuroevolution for Predicting Mobile Marketing Conversion.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
JBiclustGE: Java API with unified biclustering algorithms for gene expression data analysis.
Knowl. Based Syst., 2018

A Categorical Clustering of Publishers for Mobile Performance Marketing.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018

eOS: The Exercise Operating System.
Proceedings of the 7th Symposium on Languages, Applications and Technologies, 2018

A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction.
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

2017
Multi-objective Learning of Neural Network Time Series Prediction Intervals.
Proceedings of the Progress in Artificial Intelligence, 2017

2015
Reconstructing transcriptional Regulatory Networks using data integration and Text Mining.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Optimization of fed-batch fermentation processes with bio-inspired algorithms.
Expert Syst. Appl., 2014

Reg4OptFlux: an OptFlux plug-in that comprises meta-heuristics approaches for Metabolic engineering using integrated models.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

2013
Current Trends in Bio-Ontologies and Data Integration.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013

2008
Natural computation meta-heuristics for the in silico optimization of microbial strains.
BMC Bioinform., 2008

A framework for the integrated analysis of metabolic and regulatory networks.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
A platform for the selection of genes in DNA microarraydata using evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Evaluating Simulated Annealing Algorithms in the Optimization of Bacterial Strains.
Proceedings of the Progress in Artificial Intelligence, 2007

Stochastic Barycenters and Beta Distribution for Gaussian Particle Swarms.
Proceedings of the Progress in Artificial Intelligence, 2007

2006
Neighborhood topologies in fully informed and best-of-neighborhood particle swarms.
IEEE Trans. Syst. Man Cybern. Syst., 2006

A Comparison of Algorithms for the Optimization of Fermentation Processes.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
DynDE: a differential evolution for dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Neighborhood Re-structuring in Particle Swarm Optimization.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
The Fully Informed Particle Swarm: Simpler, Maybe Better.
IEEE Trans. Evol. Comput., 2004

What Makes a Successful Society? Experiments with Population Topologies in Particle Swarms.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

2003
Watch thy neighbor or how the swarm can learn from its environment.
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003

2002
Population structure and particle swarm performance.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimization.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001


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