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20222026
most citedMachine Learning in Orbit Estimation: a Survey

45 citations · 69 across the 9 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023

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…

cs.LG2023★ 2 cited

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…

cs.CV2023

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…

stat.ML2023

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…

stat.ML2023

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…