| From noisy point clouds to complete ear shapes: unsupervised pipeline F Valdeira, R Ferreira, A Micheletti, C Soares IEEE Access 9, 127720-127734, 2021 | 3 | 2021 |
| Range and bearing data fusion for precise convex network localization C Soares, F Valdeira, J Gomes IEEE Signal Processing Letters 27, 670-674, 2020 | 3 | 2020 |
| Extreme multilabel classification for specialist doctor recommendation with implicit feedback and limited patient metadata F Valdeira, S Racković, V Danalachi, Q Han, C Soares arXiv preprint arXiv:2308.11022, 2023 | 2 | 2023 |
| Hybrid Localization in Underwater Environment F Valdeira Master’s thesis, IST, Universidade de Lisboa, 2018 | 2 | 2018 |
| Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low-Earth Orbit R Ferreira, F Valdeira, M Guimarães, C Soares arXiv preprint arXiv:2407.15180, 2024 | 1 | 2024 |
| Probabilistic registration for Gaussian process three-dimensional shape modelling in the presence of extensive missing data FM Valdeira, R Ferreira, A Micheletti, C Soares SIAM Journal on Mathematics of Data Science 5 (2), 502-527, 2023 | 1 | 2023 |
| A hybrid compartmental model with a case study of COVID-19 in Great Britain and Israel G Malaspina, S Racković, F Valdeira Journal of Mathematics in Industry 13 (1), 1, 2023 | 1 | 2023 |
| Ranking with confidence for large scale comparison data F Valdeira, C Soares arXiv preprint arXiv:2202.01670, 2022 | 1 | 2022 |
| A Proof of Strong Consistency of Maximum Likelihood Estimator for Independent Non-Identically Distributed Data R Ferreira, F Valdeira, M Guimarães, C Soares arXiv preprint arXiv:2501.07257, 2025 | | 2025 |
| Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements F Valdeira, C Soares, J Gomes Signal Processing 221, 109471, 2024 | | 2024 |
| One-Shot Initial Orbit Determination in Low-Earth Orbit R Ferreira, M Guimarães, F Valdeira, C Soares 2024 IEEE Aerospace Conference, 1-11, 2024 | | 2024 |
| Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data F Valdeira, R Ferreira, A Micheletti, C Soares arXiv preprint arXiv:2203.14113, 2022 | | 2022 |