45 citations · 69 across the 9 of their papers we have counts for
9 papers
Hierarchical Spatio-Temporal Transformer for Coherent Emergency Department Forecasting
Filipa Lino, Bárbara Tavares, Carlos Santiago +2
Emergency Departments (EDs) are critical access points in healthcare systems, yet they face persistent pressure from unpredictable patient demand, seasonal surges, and non-urgent v…
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning
Pedro Valdeira, Yuejie Chi, Cláudia Soares +1
Most federated learning (FL) methods use a client-server scheme, where clients communicate only with a central server. However, this scheme is prone to bandwidth bottlenecks at the…
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…
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification
Diogo Lavado, Cláudia Soares, Alessandra Micheletti +4
Research in 3D semantic segmentation has been increasing performance metrics, like the IoU, by scaling model complexity and computational resources, leaving behind researchers and…
EAMDrift: An interpretable self retrain model for time series
Gonçalo Mateus, Cláudia Soares, João Leitão +1
The use of machine learning for time series prediction has become increasingly popular across various industries thanks to the availability of time series data and advancements in…
Conjunction Data Messages for Space Collision Behave as a Poisson Process
Francisco Caldas, Cláudia Soares, Cláudia Nunes +1
Space debris is a major problem in space exploration. International bodies continuously monitor a large database of orbiting objects and emit warnings in the form of conjunction da…
Machine Learning in Orbit Estimation: a Survey
Francisco Caldas, Cláudia Soares
Since the late 1950s, when the first artificial satellite was launched, the number of Resident Space Objects has steadily increased. It is estimated that around one million objects…
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding
Francisco M. Caldas, Cláudia Soares
Emergency Departments (EDs) are a fundamental element of the Portuguese National Health Service, serving as an entry point for users with diverse and very serious medical problems.…
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems
Bárbara Tavares, Cláudia Soares, Manuel Marques
Bike Sharing Systems (BSSs) are emerging as an innovative transportation service. Ensuring the proper functioning of a BSS is crucial given that these systems are committed to erad…