6 citations · 11 across the 11 of their papers we have counts for
11 papers
Can Large Language Models Reliably Extract Physiology Index Values from Coronary Angiography Reports?
Sofia Morgado, Filipa Valdeira, Niklas Sander +4
Coronary angiography (CAG) reports contain clinically relevant physiological measurements, yet this information is typically in the form of unstructured natural language, limiting…
A Proof of Strong Consistency of Maximum Likelihood Estimator for Independent Non-Identically Distributed Data
Ricardo Ferreira, Filipa Valdeira, Marta Guimarães +1
We give a general proof of the strong consistency of the Maximum Likelihood Estimator for the case of independent non-identically distributed (i.n.i.d) data, assuming that the dens…
Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low-Earth Orbit
Ricardo Ferreira, Filipa Valdeira, Marta Guimarães +1
With the increase in the number of active satellites and space debris in orbit, the problem of initial orbit determination (IOD) becomes increasingly important, demanding a high ac…
One-Shot Initial Orbit Determination in Low-Earth Orbit
Ricardo Ferreira, Marta Guimarães, Filipa Valdeira +1
Due to the importance of satellites for society and the exponential increase in the number of objects in orbit, it is important to accurately determine the state (e.g., position an…
Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata
Filipa Valdeira, Stevo Racković, Valeria Danalachi +2
Recommendation Systems (RS) are often used to address the issue of medical doctor referrals. However, these systems require access to patient feedback and medical records, which ma…
Parameter-free Maximum Likelihood Localization of a Network of Moving Agents from Ranges, Bearings and Velocity measurements
Filipa Valdeira, Cláudia Soares, João Gomes
Localization is a fundamental enabler technology for many applications, like vehicular networks, IoT, and even medicine. While Global Navigation Satellite Systems solutions offer g…
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti +1
We propose a shape fitting/registration method based on a Gaussian Processes formulation, suitable for shapes with extensive regions of missing data. Gaussian Processes are a prove…
A Hybrid Compartmental Model with a Case Study of COVID-19 in Great Britain and Israel
Greta Malaspina, Stevo Racković, Filipa Valdeira
Given the severe impact of COVID-19 on several societal levels, it is of crucial importance to model the impact of restriction measures on the pandemic evolution, so that governmen…
Ranking with Confidence for Large Scale Comparison Data
Filipa Valdeira, Cláudia Soares
In this work, we leverage a generative data model considering comparison noise to develop a fast, precise, and informative ranking algorithm from pairwise comparisons that produces…
Range and Bearing Data Fusion for Precise Convex Network Localization
Claudia Soares, Filipa Valdeira, Joao Gomes
Hybrid localization in GNSS-challenged environments using measured ranges and angles is becoming increasingly popular, in particular with the advent of multimodal communication sys…
From noisy point clouds to complete ear shapes: unsupervised pipeline
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti +1
Ears are a particularly difficult region of the human face to model, not only due to the non-rigid deformations existing between shapes but also to the challenges in processing the…