Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimization. - Miguel Rocha 001; Rui Mendes 001; Paulo Cortez 001; José Neves 001 (CEC, 2001)

Population structure and particle swarm performance. - James Kennedy; Rui Mendes 001 (IEEE Congress on Evolutionary Computation, 2002)

Watch thy neighbor or how the swarm can learn from its environment. - Rui Mendes 001; James Kennedy; José Neves 001 (SIS, 2003)

What Makes a Successful Society? Experiments with Population Topologies in Particle Swarms. - Rui Mendes 001; José Neves 001 (SBIA, 2004)

The Fully Informed Particle Swarm: Simpler, Maybe Better. - Rui Mendes 001; James Kennedy; José Neves 001 (IEEE Trans. Evol. Comput., 2004)

Neighborhood Re-structuring in Particle Swarm Optimization. - Arvind S. Mohais; Rui Mendes 001; Christopher Ward; Christian Posthoff (Australian Conference on Artificial Intelligence, 2005)

DynDE: a differential evolution for dynamic optimization problems. - Rui Mendes 001; Arvind S. Mohais (Congress on Evolutionary Computation, 2005)

A Comparison of Algorithms for the Optimization of Fermentation Processes. - Rui Mendes 001; Isabel Rocha; Eugénio C. Ferreira; Miguel Rocha 001 (IEEE Congress on Evolutionary Computation, 2006)

Neighborhood topologies in fully informed and best-of-neighborhood particle swarms. - James Kennedy; Rui Mendes 001 (IEEE Trans. Syst. Man Cybern. Syst., 2006)

Stochastic Barycenters and Beta Distribution for Gaussian Particle Swarms. - Rui Mendes 001; James Kennedy (EPIA Workshops, 2007)

Evaluating Simulated Annealing Algorithms in the Optimization of Bacterial Strains. - Miguel Rocha 001; Rui Mendes 001; Paulo Maia; José P. Pinto; Isabel Rocha; Eugénio C. Ferreira (EPIA Workshops, 2007)

A platform for the selection of genes in DNA microarraydata using evolutionary algorithms. - Miguel Rocha 001; Rui Mendes 001; Paulo Maia; Daniel Glez-Peña; Florentino Fdez-Riverola (GECCO, 2007)

A framework for the integrated analysis of metabolic and regulatory networks. - Rui Mendes 001; Anália Lourenço; Sónia Carneiro; Miguel Rocha 001; Isabel Rocha; Eugénio C. Ferreira (BIBE, 2008)

Natural computation meta-heuristics for the in silico optimization of microbial strains. - Miguel Rocha 001; Paulo Maia; Rui Mendes 001; José P. Pinto; Eugénio C. Ferreira; Jens Nielsen; Kiran Raosaheb Patil; Isabel Rocha (BMC Bioinform., 2008)

Current Trends in Bio-Ontologies and Data Integration. - Rafael T. Pereira; Rui Mendes 001 (DCAI, 2013)

Reg4OptFlux: an OptFlux plug-in that comprises meta-heuristics approaches for Metabolic engineering using integrated models. - Orlando Rocha; Paulo Vilaça; Miguel Rocha 001; Rui Mendes 001 (NaBIC, 2014)

Optimization of fed-batch fermentation processes with bio-inspired algorithms. - Miguel Rocha 001; Rui Mendes 001; Orlando Rocha; Isabel Rocha; Eugénio C. Ferreira (Expert Syst. Appl., 2014)

Reconstructing transcriptional Regulatory Networks using data integration and Text Mining. - Rafael T. Pereira; Hugo Costa; Sónia Carneiro; Miguel Rocha 001; Rui Mendes 001 (BIBM, 2015)

Multi-objective Learning of Neural Network Time Series Prediction Intervals. - Pedro José Pereira; Paulo Cortez 001; Rui Mendes 001 (EPIA, 2017)

A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction. - Luís Miguel Matos; Paulo Cortez 001; Rui Mendes 001; Antoine Moreau (IEEE Conf. on Intelligent Systems, 2018)

eOS: The Exercise Operating System. - Rui Mendes 001; José João Almeida (SLATE, 2018)

A Categorical Clustering of Publishers for Mobile Performance Marketing. - Susana Silva; Paulo Cortez 001; Rui Mendes 001; Pedro José Pereira; Luís Miguel Matos; Luís Garcia (SOCO-CISIS-ICEUTE, 2018)

JBiclustGE: Java API with unified biclustering algorithms for gene expression data analysis. - Orlando Rocha; Rui Mendes 001 (Knowl. Based Syst., 2018)

Using Neuroevolution for Predicting Mobile Marketing Conversion. - Pedro José Pereira; Pedro Pinto; Rui Mendes 001; Paulo Cortez 001; Antoine Moreau (EPIA (2), 2019)

Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion. - Luís Miguel Matos; Paulo Cortez 001; Rui Castro Mendes; Antoine Moreau (IDEAL (1), 2019)

Using Deep Learning for Mobile Marketing User Conversion Prediction. - Luís Miguel Matos; Paulo Cortez 001; Rui Mendes 001; Antoine Moreau (IJCNN, 2019)

Hunting Ancestors: A Unified Approach for Discovering Genealogical Information. - José João Almeida; Rui Castro Mendes (SLATE, 2019)

A realistic scooter rebalancing system via metaheuristics. - Guilherme Fernandes; Nuno Oliveira 002; Paulo Cortez 001; Rui Mendes 001 (GECCO Companion, 2020)

Multi-step time series prediction intervals using neuroevolution. - Paulo Cortez 001; Pedro José Pereira; Rui Mendes 001 (Neural Comput. Appl., 2020)

Moopec: A Tool for Creating Programming Problems. - Rui Castro Mendes (ICPEC, 2021)

A Teaching Assistant for the C Language (Short Paper). - Rui Castro Mendes; José João Almeida (ICPEC, 2021)

Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora. - João Correia 004; Rui Mendes 001 (IDEAL, 2021)

Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction. - Pedro José Pereira; Paulo Cortez 001; Rui Mendes 001 (Expert Syst. Appl., 2021)

Cherry-Picking Meta-heuristic Algorithms and Parameters for Real Optimization Problems. - Kévin Martins; Rui Mendes 001 (EPIA, 2022)

Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing. - Luís Miguel Matos; João Azevedo; Arthur Matta; André Luiz Pilastri; Paulo Cortez 001; Rui Mendes 001 (Softw. Impacts, 2022)

A Deep Learning-Based Decision Support System for Mobile Performance Marketing. - Luís Miguel Matos; Paulo Cortez 001; Rui Mendes 001; Antoine Moreau (Int. J. Inf. Technol. Decis. Mak., 2023)

A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing. - Guilherme Barbosa; Pedro Pereira; Vasco Abelha; Rui Mendes 001; Paulo Cortez 001 (GECCO, 2025)

A DSL for Swarm Intelligence Algorithms. - Kévin Martins; Rui Mendes 001 (SLATE, 2025)