Developing Tools for the Team Orienteering Problem - A Simple Genetic Algorithm. - João A. Ferreira; José António Oliveira 001; Guilherme A. B. Pereira; Luís M. S. Dias; Fernando Vieira; João Macedo; Tiago Carção; Tiago Leite; Daniel Murta (ICORES, 2013)

Using Cost-regularized Kernel Regression with a high number of samples. - João Macedo; Cristina P. Santos 001; Lino A. Costa (ICARSC, 2014)

Genetic Programming Algorithms for Dynamic Environments. - João Macedo; Ernesto Costa; Lino Marques (EvoApplications (2), 2016)

Evolving Neural Networks for Multi-robot Odor Search. - João Macedo; Lino Marques; Ernesto Costa (ICARSC, 2016)

The 2016 Humanitarian Robotics and Automation Technology Challenge [Competitions]. - Edson Prestes; Lino Marques; Renata Neuland; Mathias Mantelli; Renan Maffei; Sedat Dogru; José Prado; João Macedo; Raj Madhavan 001 (IEEE Robotics Autom. Mag., 2016)

Robotic odour search: Evolving a robot's brain with Genetic Programming. - João Macedo; Lino Marques; Ernesto Costa (ICARSC, 2017)

Toward a flexible framework for learning: F3L. - João Macedo; João André; Cristina P. Santos 001 (Robotics Auton. Syst., 2017)

Geometric Crossover in Syntactic Space. - João Macedo; Carlos M. Fonseca; Ernesto Costa (EuroGP, 2018)

A Benchmark Methodology for Child Pornography Detection. - João Macedo; Filipe Costa; Jefersson A. dos Santos (SIBGRAPI, 2018)

A performance comparison of bio-inspired behaviours for odour source localisation. - João Macedo; Lino Marques; Ernesto Costa (ICARSC, 2019)

Detecting Indoor Smoldering Fires with a Mobile Robot. - Carolina Soares da Conceição; João Macedo; Lino Marques (ROBOT (1), 2019)

A Comparative Study of Bio-Inspired Odour Source Localisation Strategies from the State-Action Perspective. - João Macedo; Lino Marques; Ernesto Costa (Sensors, 2019)

Locating Odour Sources with Geometric Syntactic Genetic Programming. - João Macedo; Lino Marques; Ernesto Costa (EvoApplications, 2020)

2D thermal wind sensor for mobile robot anemotaxis: Design and validation. - Rui Baptista; Hugo Magalhães; João Macedo; Lino Marques (SSRR, 2020)

Towards Fast Plume Source Estimation with a Mobile Robot. - Hugo Magalhães; Rui Baptista; João Macedo; Lino Marques (Sensors, 2020)

Designing fitness functions for odour source localisation. - João Macedo; Lino Marques; Ernesto Costa (GECCO Companion, 2021)

Evolving Infotaxis for Meandering Environments. - João Macedo; Lino Marques; Ernesto Costa (IROS, 2021)

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets. - Camila Laranjeira; João Macedo; Sandra Avila; Jefersson A. dos Santos (FAccT, 2022)

Hybridizing bio-inspired strategies with infotaxis through genetic programming. - João Macedo; Lino Marques; Ernesto Costa (GECCO, 2022)

Evolving Swarm Formations for Odour Source Localisation. - João Macedo; Lino Marques; Ernesto Costa (ROBOT (2), 2022)

Evaluating Transformer-based Models in the Information Extraction of Fiscal Documents. - João Macedo; Byron L. D. Bezerra; Estanislau Lima; Alysson Soares; Celso A. M. Lopes Junior; Cleber Zanchettin (LA-CCI, 2023)

Assessing Infotaxis Sensitivity to Model Quality Through Evolutionary Computation. - João Macedo; Lino Marques; Ernesto Costa (ROBOT (1), 2023)

How Does Changing the Optical Character Recognition System Impact the Layout-Aware Named Entity Recognition Models? - João Macedo; Byron L. D. Bezerra; Cleber Zanchettin (DAS, 2024)

Evolving User Interfaces: A Neuroevolution Approach for Natural Human-Machine Interaction. - João Macedo; Habtom Kahsay Gidey; Karina Brotto Rebuli; Penousal Machado (EvoMUSART, 2024)

Evolving Visually-Diverse Graphic Design Posters. - João Macedo; Daniel Lopes; João Correia 001; Penousal Machado; Ernesto Costa (EvoMUSART, 2024)

Mastering Scene Understanding: Scene Graphs to the Rescue. - Carlos Caetano; Leo Sampaio Ferraz Ribeiro; Camila Laranjeira; Gabriel Oliveira dos Santos; Artur Barros; Caio Petrucci; Andreza Aparecida dos Santos; João Macedo; Gil Carvalho; Fabrício Benevenuto; Jefersson A. dos Santos; Sandra Avila (SIBGRAPI, 2024)

Leveraging Self-Supervised Learning for Scene Recognition in Child Sexual Abuse Imagery. - Pedro H. V. Valois; João Macedo; Leo Sampaio Ferraz Ribeiro; Jefersson A. dos Santos; Sandra Avila (CoRR, 2024)

Towards the Automatic Evaluation of Legibility for Graphic Design Posters. - Daniel Lopes; João Macedo; Iria Santos; Alvaro Torrente-Patiño; João Correia 001; Penousal Machado (EvoMUSART, 2025)

Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models. - Thamiris Coelho; Leo Sampaio Ferraz Ribeiro; João Macedo; Jefersson A. dos Santos; Sandra Avila (FAccT, 2025)

Leveraging self-supervised learning for scene classification in child sexual abuse imagery. - Pedro H. V. Valois; João Macedo; Leo Sampaio Ferraz Ribeiro; Jefersson A. dos Santos; Sandra Avila (Forensic Sci. Int. Digit. Investig., 2025)