RANSIP : From noisy point clouds to complete ear models, unsupervised. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (CoRR, 2020)

Range and Bearing Data Fusion for Precise Convex Network Localization. - Cláudia Soares; Filipa Valdeira; João Gomes 001 (IEEE Signal Process. Lett., 2020)

From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (IEEE Access, 2021)

A Hybrid Compartmental Model with a Case Study of COVID-19 in Great Britain and Israel. - Greta Malaspina; Stevo Rackovic; Filipa Valdeira (CoRR, 2022)

Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (CoRR, 2022)

Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata. - Filipa Valdeira; Stevo Rackovic; Valeria Danalachi; Qiwei Han; Cláudia Soares (CoRR, 2023)

One-Shot Initial Orbit Determination in Low-Earth Orbit. - Ricardo Ferreira 002; Marta Guimarães; Filipa Valdeira; Cláudia Soares (CoRR, 2023)

Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (SIAM J. Math. Data Sci., 2023)

Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements. - Filipa Valdeira; Cláudia Soares; João Gomes 001 (Signal Process., 2024)

Ranking with Confidence for Large Scale Comparison Data. - Filipa Valdeira; Cláudia Soares (SDM, 2025)

Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low Earth Orbit. - Ricardo Ferreira 002; Filipa Valdeira; Marta Guimarães; Cláudia Soares (IEEE Trans. Aerosp. Electron. Syst., 2025)