Publications

Peer-Reviewed Publications

• A biometric security system based on a hybrid face recognition technique.
  Miragaia, R., Vega-Rodríguez, M. A., Gómez-Pulido, J. A., & Sánchez-Pérez, J. M. (2008, February). In Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging (pp. 106-111).
  (PDF)

• Cartesian genetic programming applied to pitch estimation of piano notes.
  Inácio, T., Miragaia, R., Reis, G., Grilo, C., & Fernandéz, F. (2016, December). In 2016 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-7). IEEE.
  (PDF)

• Cgp4matlab-a cartesian genetic programming matlab toolbox for audio and image processing.
  Miragaia, R., Reis, G., Fernandéz, F., Inácio, T., & Grilo, C. (2018, April). In International Conference on the Applications of Evolutionary Computation (pp. 455-471). Springer, Cham.
  (PDF)

• Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Mask
  Miragaia, R., Reis, G., de Vega, F. F., & Chávez, F. (2020, December).  In 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1800-1807). IEEE.
  (PDF)

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

• Evolving a multi-classifier system with cartesian genetic programming for multi-pitch estimation of polyphonic piano music.
  Miragaia, R., de Vega, F. F., & Reis, G. (2021, March). In Proceedings of the 36th Annual ACM Symposium on Applied Computing (pp. 472-480).
  (PDF)

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

• Systematic Review on Deep Learning with CNNs Applied to Surface Defect Detection.
  Cumbajin, E., Rodrigues, N., Costa, P., Miragaia, R., Frazão, L., Costa, N., ... & Pereira, A. (2023). Journal of Imaging, 9(10), 193.
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• A Real-Time Automated Defect Detection System for Ceramic Pieces Manufacturing Process Based on Computer Vision with Deep Learning
  Cumbajin, E., Rodrigues, N., Costa, P., Miragaia, R., Frazão, L., Costa, N., ... & Pereira, A.  Sensors 24.1 (2023): 232.
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• Applying deep learning to real-time UAV-based forest monitoring: Leveraging multi-sensor imagery for improved results
  Marques, T., Carreira, S., Miragaia, R., Ramos, J., & Pereira, A. (2024), Expert Systems with Applications, Volume 245,
  https://doi.org/10.1016/j.eswa.2023.123107.
  (PDF)

• Systematic Review of Emotion Detection with Computer Vision and Deep Learning
  Pereira, R., Mendes, C., Ribeiro, J., Ribeiro, R., Miragaia, R., Rodrigues, N., ... & Pereira, A. (2024). Sensors, 24(11),
  https://doi.org/10.3390/s24113484
  (PDF)

• A branched Convolutional Neural Network for RGB-D image classification of ceramic pieces
  Carreira, D., Rodrigues, N., Miragaia, R., Costa, P., Ribeiro, J., Gaspar, F., & Pereira, A. (2024). Applied Soft Computing, 165, 112088.
  https://doi.org/10.1016/j.asoc.2024.112088.
  (PDF)

• Synthetic image generation for effective deep learning model training for ceramic industry applications
  Fábio Gaspar, Daniel Carreira, Nuno Rodrigues, Rolando Miragaia, José Ribeiro, Paulo Costa, António Pereira, Engineering Applications of Artificial Intelligence,Volume 143, 2025, 110019, ISSN 0952-1976,
  https://doi.org/10.1016/j.engappai.2025.110019. 
  (PDF)