Ranking with Confidence for Large Scale Comparison Data
F. Valdeira and C. Soares, “Ranking with Confidence for Large Scale Comparison Data,” accepted at 2025 SIAM International Conference on Data Mining (SDM25)
Publications
Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements
F. Valdeira, C. Soares and J. Gomes. "Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements." Signal Processing 221 (2024): 109471.
Probabilistic registration for Gaussian Process 3D shape modelling in the presence of extensive missing data
F. Valdeira, R. Ferreira, A. Micheletti, and C. Soares, “Probabilistic registration for Gaussian Process 3D shape modelling in the presence of extensive missing data,” SIAM Journal on Mathematics of Data Science, vol. 5, pp. 505–527, 2023
A hybrid compartmental model with a case study of COVID-19 in Great Britain and Israel
G. Malaspina, S. Rackovic, and F. Valdeira, “A hybrid compartmental model with a case study of COVID-19 in Great Britain and Israel,” Journal of Mathematics in Industry, vol. 13, 2023
From noisy point clouds to complete ear shapes: Unsupervised pipeline
F. Valdeira, R. Ferreira, A. Micheletti, and C. Soares, “From noisy point clouds to complete ear shapes: Unsupervised pipeline,” IEEE Access, vol. 9, pp. 127720–127734, Sep. 2021
Range and bearing data fusion for precise convex network localization
C. Soares, F. Valdeira, and J. P. Gomes, “Range and bearing data fusion for precise convex network localization,” IEEE Signal Processing Letters , vol. 27, 2020.