Publications

Artigos em Revistas Internacionais (Journals)

* Vasconcellos, N., Távora, L., Miragaia, R., Grilo, C., & Thomaz, L. A. (2025). Explainable prototype-based image classification using adaptive feature extractors in medical images. Computers in Biology and Medicine, 199, 111322. DOI: 10.1016/j.compbiomed.2025.111322

* Garcia, J. P., Grilo, C., Domingues, P., & Miragaia, R. (2025). INTU-AI: Digitalization of Police Interrogation Supported by Artificial Intelligence. Applied Sciences, 15(19), 10781.
DOI: 10.3390/app151910781

* Silva, A., Antunes, C., Miragaia, R., Costa, R. L., Silva, F., & Ribeiro, J. (2025). Artificial intelligence applied to the stone manufacturing industry: A systematic literature review. Computers and Electrical Engineering.
DOI: 10.1016/j.compeleceng.2025.110702

* Gaspar, F., Carreira, D., Rodrigues, N., Miragaia, R., Ribeiro, J., Costa, P., & Pereira, A. (2025). Synthetic image generation for effective deep learning model training for ceramic industry applications. Engineering Applications of Artificial Intelligence, 143, 110019.
DOI: 10.1016/j.engappai.2025.110019

* Gaspar, F., Carreira, D., Rodrigues, N., Miragaia, R., Ribeiro, J. C. B., Grilo, C., & Pereira, A. (2025). Rule-Based Generative Modeling in Ceramic Tableware Industry Applications. Virtual Reality, 29, 129.

* Patrício, D., Loureiro, P., Mendes, S. P., Bernardino, A., Miragaia, R., & Husyeva, I. (2025). Pattern-Based Driver Aggressiveness Behavior Assessment Using LSTM-Based Models. Future Transportation.
DOI: 10.3390/futuretransp5040135

* Pingo, A., Castro, J., Loureiro, P., Mendes, S., Bernardino, A., Miragaia, R., & Husyeva, I. (2025). Driving Behavior Classification Using a ConvLSTM. Future Transportation.
DOI: 10.3390/futuretransp5020052

* Vasconcellos, N., Távora, L., Miragaia, R., Grilo, C., & Thomaz, L. A. Efficient Medical Image Analysis in the JPEG-AI Compressed Domain. IEEE Access (Under Revision).

* Carreira, D., Rodrigues, N., Miragaia, R., Costa, P., Ribeiro, J., Gaspar, F., & Pereira, A. (2024). A branched Convolutional Neural Network for RGB-D image classification of ceramic pieces. Applied Soft Computing, 112088. DOI: 10.1016/j.asoc.2024.112088

* Marques, T., Carreira, S., Miragaia, R., Ramos, J., & Pereira, A. (2024). Applying deep learning to real-time UAV-based forest monitoring: Leveraging multi-sensor imagery for improved results. Expert Systems with Applications, 123107. DOI: 10.1016/j.eswa.2023.123107

* Pereira, R., Mendes, C., Ribeiro, J., Ribeiro, R., Miragaia, R., Rodrigues, N., Costa, N., & Pereira, A. (2024). Systematic Review of Emotion Detection with Computer Vision and Deep Learning. Sensors, 24(11), 3484. DOI: 10.3390/s24113484

* Cumbajin, E., Rodrigues, N., Costa, P., Miragaia, R., Frazão, L., Costa, N., Fernández-Caballero, A., et al. (2023). A Real-Time Automated Defect Detection System for Ceramic Pieces Manufacturing Process Based on Computer Vision with Deep Learning. Sensors, 24(1), 0232.
DOI: 10.3390/s24010232

* Cumbajin, E., Rodrigues, N., Costa, P., Miragaia, R., Frazão, L., Costa, N., Fernández-Caballero, A., et al. (2023). A Systematic Review on Deep Learning with CNNs Applied to Surface Defect Detection. Journal of Imaging, 9(10), 193.
DOI: 10.3390/jimaging9100193

* Miragaia, R., Chávez, F., Díaz, J., Vivas, A., Prieto, M. H., & Moñino, M. J. (2021). Plum Ripeness Analysis in Real Environments Using Deep Learning with Convolutional Neural Networks. Agronomy, 11(11), 2353.
DOI: 10.3390/agronomy11112353

* Miragaia, R., Fernández, F., Reis, G., & Inácio, T. (2021). Evolving a Multi-Classifier System for Multi-Pitch Estimation of Piano Music and Beyond: An Application of Cartesian Genetic Programming. Applied Sciences, 11(7), 2902.
DOI: 10.3390/app11072902

Artigos em Conferências (Conference Proceedings)

* Martins, A., Pinto, A., Grilo, C., Ramos, J., Miragaia, R., Ribeiro, J. C. B., & Pereira, A. (2025). A Personalised Music Recommendation System based on User's Emotions. 21st International Conference on Artificial Intelligence Applications and Innovations (AIAI 2025), Limassol.
DOI: 10.1007/978-3-031-96228-8_27

* Ramos, J., Miragaia, R., Reis, G., Domingues, P., & Grilo, C. (2025). Exploiting the Temporal Order of Sound Features for Onset Detection. 14th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART 2025), Trieste.
DOI: 10.1007/978-3-031-90167-6_11

* Cruz, M., Miragaia, R., Ramos, J., & Pereira, A. (2024). ForestML: A Real-Time Solution Proposal for UAV acquired Multispectral Imagery Analysis using Machine Learning. SpliTech 2024.
DOI: 10.23919/SpliTech61897.2024.10612566

* Couto, P., Miragaia, R., Ramos, J., & Pereira, A. (2024). Empowering Non-Experts: A Web-Based Solution for Collaborative Image Annotation in Machine Learning Models for Computer Vision. SpliTech 2024.
DOI: 10.23919/SpliTech61897.2024.10612329

* Sá, J., Sebastião, F., Miragaia, R., & Grilo, C. (2024). Models for energy consumption retro-analysis. XXXI Jornadas de Classificação e Análise de Dados (JOCLAD 2024), Leiria.

* Miragaia, R., Reis, G., Fernández de Vega, F., & Chávez, F. (2020). Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Mask. IEEE SSCI 2020.
DOI: 10.1109/SSCI47803.2020.9308178

* Inácio, T., Miragaia, R., Reis, G., Grilo, C., & Fernández, F. (2017). Cartesian genetic programming applied to pitch estimation of piano notes. IEEE SSCI 2016.
DOI: 10.1109/SSCI.2016.7850046

* Miragaia, R., Vega-Rodríguez, M. A., Gómez-Pulido, J. A., & Sánchez-Pérez, J. M. (2008). A biometric security system based on a hybrid face recognition technique.

Livros e Edições Especiais

* Miragaia, R., Reis, G., Fernández, F., Inácio, T., & Grilo, C. (2018). CGP4Matlab - A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing. Springer.
DOI: 10.1007/978-3-319-77538-8_31

* Editor Convidado (Guest Editor):

    * Pattern Recognition and Image Processing: Latest Advances and Prospects, Electronics (2024).

    * Smart Mobile Platforms and IoT Ecosystems, Applied Sciences (2023).

    * Challenges in Using Machine Learning to Support Software Engineering, Applied Sciences (2023).