Publications - 2024




    B. Jin, N. Gonçalves, L. Cruz, I. Medvedev, Yuanyu Yu, Jiujiang Wang, , Simulated multimodal deep facial diagnosis, Expert Systems with Applications, 2024
    https://doi.org/10.1016/j.eswa.2024.123881
    David Portugal, R. P. Rocha, Joao P. Castilho, Inquiring the robot operating system community on the state of adoption of the ROS 2 robotics middleware, International Journal of Intelligent Robotics and Applications, Springer, 2024
    https://doi.org/10.1007/s41315-024-00393-4
    Tânia C. Nunes, Luís M. Gaspar, Jose N Faria, David Portugal, P. Fernandes, M. Tavakoli, Deployment and validation of a smart bed architecture for untethered patients with wireless biomonitoring stickers, Medical & Biological Engineering & Computing, 2024
    R. Bettencourt, M. Castelo-Branco, Edna Goncalves, U. J. Nunes, G. Pires, Comparing Several P300-Based Visuo-Auditory Brain-Computer Interfaces for a Completely Locked-in ALS Patient: A Longitudinal Case Study, Applied Sciences, 14(8), 3464, 2024
    https://doi.org/10.3390/app14083464
    E. Parvini, A. Hajalilou, Joao Pedro Goncalves Vilarinho, P. Lopes, Miguel Maranha, M. Tavakoli, Gallium–Carbon: A Universal Composite for Sustainable 3D Printing of Integrated Sensor–Heater–Battery Systems in Wearable and Recyclable Electronics, ACS Applied Materials & Interfaces, 2024
    https://pubs.acs.org/doi/10.1021/acsami.4c02706
    M. Nogueira, P. Menezes, Jose Macas de Carvalho, Exploring the Impact of Machine Learning on Dance Performance: A Systematic Review, International Journal of Performance Arts and Digital Media, (in press), 1-50, 2024
    https://doi.org/10.1080/14794713.2024.2338927
    R. Pereira, T. Barros da Silva, L. Artur da Silva Garrote, A. Barata Pires Lopes, U. J. Nunes, A deep learning-based global and segmentation-based semantic feature fusion approach for indoor scene classification, Pattern Recognition Letters, Vol. 179, 2024
    https://doi.org/10.1016/j.patrec.2024.01.022
    D. Areia Cruz, J. Batista, Causality and tractable probabilistic models, Frontiers in Computer Science, 2024
    https://doi.org/10.3389/fcomp.2023.1263386
    L. Artur da Silva Garrote, J. Perdiz, Mine Yasemin, G. Pires, U. J. Nunes, Two-Stream Architecture with Contrastive and Self-Supervised Attention Feature Fusion for Error-related Potentials Classification, 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), Pasadena, CA, USA, 2024
    https://doi.org/10.1109/RO-MAN60168.2024.10731474
    Farhad Shadmand, I. Medvedev, Luiz Schirmer, J. Marcos, N. Gonçalves, StampOne: Addressing Frequency Balance in Printer-proof Steganography, CVPRW: Workshop in Media Forensics, 2024
    G. Schardong, Tiago Novello, Hallison Paz, I. Medvedev, Vinicius da Silva, Luiz Velho, N. Gonçalves, Neural Implicit Morphing of Face Images, IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
    L. Artur da Silva Garrote, Ulisses Reverendo, U. J. Nunes, Exploiting 3D Grids for Indoor SLAM in Featureless Scenarios, 2024 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Paredes de Coura, Portugal, 2024
    https://doi.org/10.1109/ICARSC61747.2024.10535951
    I. Medvedev, Farhad Shadmand, N. Gonçalves, Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition, 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
    I. Medvedev, N. Gonçalves, Quadruplet Loss For Improving the Robustness to Face Morphing Attacks, 12th International Workshop in Biometrics and Forensics, 2024
    Telmo Cunha, Luiz Schirmer, J. Marcos, N. Gonçalves, Noise Simulation for the Improvement of Training Deep Neural Network for Printer-Proof Steganography, Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024
    https://doi.org/10.5220/0012272300003654
    I. Medvedev, Joana Pimenta, N. Gonçalves, Fused Classification for Differential Face Morphing Detection, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024) Workshops, 2024
    R. Pereira, Deep-learning based perception modules using RGB data applied in a dynamic visual interface for brain-actuated wheelchairs , Ph.D. Thesis, Universidade de Coimbra, Portugal, 2024, Supervised by U. J. Nunes and A. Barata Pires Lopes
    Danilo Souza, A contribution to energy efficiency in motor-driven systems, Ph.D. Thesis, Universidade de São Paulo, Brasil, 2024, Supervised by A. de Almeida
    M. Vieira Vasques, Multimodal Terrain Traversability Analysis for Unmanned Ground Vehicles in Forestry Environments, M.Sc. Thesis, Universidade de Coimbra, Portugal, 2024, Supervised by P. Peixoto