João Macedo

According to our database, João Macedo authored at least 25 papers between 2013 and 2024.

Collaborative distances:

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

2024

Leveraging Self-Supervised Learning for Scene Recognition in Child Sexual Abuse Imagery.

Pedro H. V. Valois, João Macedo, Leo S. F. Ribeiro, Jefersson A. dos Santos, Sandra Avila

CoRR, 2024

Evolving Visually-Diverse Graphic Design Posters.

João Macedo, Daniel Lopes, João Correia, Penousal Machado, Ernesto Costa

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2024

Evolving User Interfaces: A Neuroevolution Approach for Natural Human-Machine Interaction.

João Macedo, Habtom Kahsay Gidey, Karina Brotto Rebuli, Penousal Machado

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2024

2023

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

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets.

Camila Laranjeira, João Macedo, Sandra Avila, Jefersson A. dos Santos

CoRR, 2022

Evolving Swarm Formations for Odour Source Localisation.

João Macedo, Lino Marques, Ernesto Costa

Proceedings of the ROBOT 2022: Fifth Iberian Robotics Conference, 2022

Hybridizing bio-inspired strategies with infotaxis through genetic programming.

João Macedo, Lino Marques, Ernesto Costa

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets.

Camila Laranjeira da Silva, João Macedo, Sandra Avila, Jefersson A. dos Santos

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Evolving Infotaxis for Meandering Environments.

João Macedo, Lino Marques, Ernesto Costa

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Designing fitness functions for odour source localisation.

João Macedo, Lino Marques, Ernesto Costa

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Towards Fast Plume Source Estimation with a Mobile Robot.

Hugo Magalhães, Rui Baptista, João Macedo, Lino Marques

Sensors, 2020

2D thermal wind sensor for mobile robot anemotaxis: Design and validation.

Rui Baptista, Hugo Magalhães, João Macedo, Lino Marques

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2020

Locating Odour Sources with Geometric Syntactic Genetic Programming.

João Macedo, Lino Marques, Ernesto Costa

Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019

A Comparative Study of Bio-Inspired Odour Source Localisation Strategies from the State-Action Perspective.

João Macedo, Lino Marques, Ernesto Costa

Sensors, 2019

Detecting Indoor Smoldering Fires with a Mobile Robot.

Carolina Soares da Conceição, João Macedo, Lino Marques

Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

A performance comparison of bio-inspired behaviours for odour source localisation.

João Macedo, Lino Marques, Ernesto Costa

Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions, 2019

2018

A Benchmark Methodology for Child Pornography Detection.

João Macedo, Filipe Costa, Jefersson A. dos Santos

Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

Geometric Crossover in Syntactic Space.

João Macedo, Carlos M. Fonseca, Ernesto Costa

Proceedings of the Genetic Programming - 21st European Conference, 2018

2017

Toward a flexible framework for learning: F3L.

João Macedo, João André, Cristina P. Santos

Robotics Auton. Syst., 2017

Robotic odour search: Evolving a robot's brain with Genetic Programming.

João Macedo, Lino Marques, Ernesto Costa

Proceedings of the 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, 2017

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

IEEE Robotics Autom. Mag., 2016

Evolving Neural Networks for Multi-robot Odor Search.

João Macedo, Lino Marques, Ernesto Costa

Proceedings of the 2016 International Conference on Autonomous Robot Systems and Competitions, 2016

Genetic Programming Algorithms for Dynamic Environments.

João Macedo, Ernesto Costa, Lino Marques

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

2014

Using Cost-regularized Kernel Regression with a high number of samples.

João Macedo, Cristina P. Santos, Lino A. Costa

Proceedings of the 2014 IEEE International Conference on Autonomous Robot Systems and Competitions, 2014

2013

Developing Tools for the Team Orienteering Problem - A Simple Genetic Algorithm.

João A. Ferreira, José António Oliveira, Guilherme A. B. Pereira, Luís M. S. Dias, Fernando Vieira, João Macedo, Tiago Carção, Tiago Leite, Daniel Murta

Proceedings of the ICORES 2013, 2013