Claudia Soares

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Universidade de Aveiro

Portugal

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Recent Grants

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MD2TRUST - Trustworthy data science for improving healthcare efficiency: the case of the medical referral process

Open Date: 2022-02-01

Close Date: 2023-04-30

Grant: Close

RELIABLE - Painel de aviso do risco dos ocupantes de edifícios durante eventos climáticos extremos

Open Date: 2020-01-01

Close Date:

Grant: Close

Identifying and Predicting Emergency Admissions

Open Date: 2019-01-01

Close Date: 2021-12-31

Grant: Close

RIA H2020-ICT-2018 AI4EU A European AI On Demand Platform and Ecosystem

Open Date: 2018-10-01

Close Date:

Grant: Close

H2020-MSCA-ITN BIGMATH: BIG data challenges for MATHematics

Open Date: 2018-04-01

Close Date:

Articles (13)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2020

Collaborators (2)

Joao Xavier

Associate Professor

Universidade de Lisboa Instituto Superior Técnico

PORTUGAL

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Rodrigo Ventura

Assistant Professor

Universidade de Lisboa Instituto Superior Técnico

PORTUGAL

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Claudia Soares

Research Interests

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Recent Grants

Articles (13)

Communication-Efficient Vertical Federated Learning via Compressed Error Feedback

Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low Earth Orbit

Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements

Machine learning in orbit estimation: A survey

AI for space traffic management

Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data

Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data

A majorization–minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation

Robust Localization With Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations

Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data

From Noisy Point Clouds to Complete Ear Shapes

STRONG: Synchronous and asynchronous robust network localization, under non-Gaussian noise

Range and Bearing Data Fusion for Precise Convex Network Localization

Collaborators (2)

Joao Xavier

Rodrigo Ventura

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