Cláudia Soares

According to our database, Cláudia Soares authored at least 54 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica

Optim. Lett., March, 2024

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

Filipa Valdeira, Cláudia Soares, João Gomes

Signal Process., 2024

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

Ricardo Ferreira, Filipa Valdeira, Marta Guimarães, Cláudia Soares

CoRR, 2024

TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System.

Diogo Lavado, Cláudia Soares, Alessandra Micheletti, Ricardo Santos, André Coelho, João Santos

CoRR, 2024

PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning.

Frederico Metelo, Stevo Rackovic, Pedro Ákos, Cláudia Soares

CoRR, 2024

Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation.

Stevo Rackovic, Cláudia Soares, Dusan Jakovetic

CoRR, 2024

PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning.

Frederico Metelo, Cláudia Soares, Stevo Rackovic, Pedro Ákos Costa

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Communication-efficient Vertical Federated Learning via Compressed Error Feedback.

Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi

Proceedings of the 32nd European Signal Processing Conference, 2024

Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables.

Francisco M. Caldas, Cláudia Soares

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

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

Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares

SIAM J. Math. Data Sci., June, 2023

One-Shot Initial Orbit Determination in Low-Earth Orbit.

Ricardo Ferreira, Marta Guimarães, Filipa Valdeira, Cláudia Soares

CoRR, 2023

Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks.

Regina De Brito Duarte, Qiwei Han, Cláudia Soares

CoRR, 2023

Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach.

João Simões Catulo, Cláudia Soares, Marta Guimarães

CoRR, 2023

Finding Real-World Orbital Motion Laws from Data.

João Funenga, Marta Guimarães, Henrique Costa, Cláudia Soares

CoRR, 2023

Probability of Collision of satellites and space debris for short-term encounters: Rederivation and fast-to-compute upper and lower bounds.

Ricardo Ferreira, Cláudia Soares, Marta Guimarães

CoRR, 2023

Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach.

Marta Guimarães, Cláudia Soares, Chiara Manfletti

CoRR, 2023

Statistical Learning of Conjunction Data Messages Through a Bayesian Non-Homogeneous Poisson Process.

Marta Guimarães, Cláudia Soares, Chiara Manfletti

CoRR, 2023

Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models.

Marta Guimarães, Cláudia Soares, Chiara Manfletti

CoRR, 2023

Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach.

Diogo Lavado, Cláudia Soares, Alessandra Micheletti

CoRR, 2023

A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning.

Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier

CoRR, 2023

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

Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification.

Diogo Lavado, Cláudia Soares, Alessandra Micheletti, Giovanni Bocchi, Alex Coronati, Manuel Silva, Patrizio Frosini

CoRR, 2023

EAMDrift: An interpretable self retrain model for time series.

Gonçalo Mateus, Cláudia Soares, João Leitão, António Rodrigues

CoRR, 2023

Conjunction Data Messages for Space Collision Behave as a Poisson Process.

Francisco M. Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães

CoRR, 2023

Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation.

Stevo Rackovic, Cláudia Soares, Dusan Jakovetic

CoRR, 2023

Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms.

Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica

CoRR, 2023

High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model.

Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica

CoRR, 2023

Distributed Solution of the Blendshape Rig Inversion Problem.

Stevo Rackovic, Cláudia Soares, Dusan Jakovetic

Proceedings of the SIGGRAPH Asia 2023 Technical Communications, 2023

2022

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

João Domingos, Cláudia Soares, João Xavier

IEEE Trans. Signal Process., 2022

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

Marta Guimarães, Cláudia Soares, Rodrigo M. M. Ventura

IEEE Trans. Intell. Transp. Syst., 2022

ISEE.U: Distributed online active target localization with unpredictable targets.

Miguel Vasques, Cláudia Soares, João Gomes

CoRR, 2022

Machine Learning in Orbit Estimation: a Survey.

Francisco M. Caldas, Cláudia Soares

CoRR, 2022

Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data.

Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares

CoRR, 2022

Ranking with Confidence for Large Scale Comparison Data.

Filipa Valdeira, Cláudia Soares

CoRR, 2022

Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features.

Pedro Valdeira, Cláudia Soares, João Xavier

CoRR, 2022

A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems.

Bárbara Tavares, Cláudia Soares, Manuel Marques

CoRR, 2022

A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding.

Francisco M. Caldas, Cláudia Soares

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

2021

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

Cláudia Soares, João Gomes

Signal Process., 2021

COSMIC: fast closed-form identification from large-scale data for LTV systems.

Maria Carvalho, Cláudia Soares, Pedro Lourenço, Rodrigo M. M. Ventura

CoRR, 2021

Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach.

Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica

CoRR, 2021

Conjunction Data Messages behave as a Poisson Process.

Francisco M. Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães, Mariana Filipe, Rodrigo Ventura

CoRR, 2021

From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline.

Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares

IEEE Access, 2021

Clustering of the Blendshape Facial Model.

Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Range and Bearing Data Fusion for Precise Convex Network Localization.

Cláudia Soares, Filipa Valdeira, João Gomes

IEEE Signal Process. Lett., 2020

RANSIP : From noisy point clouds to complete ear models, unsupervised.

Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares

CoRR, 2020

2019

Finding Common Image Semantics for Urban Perceived Safety Based on Pairwise Comparisons.

Gabriel Costa, Cláudia Soares, Manuel Marques

Proceedings of the 27th European Signal Processing Conference, 2019

Locating a target from uncertain data: convex supersets based on linear-fractional representations.

Cláudia Soares, João Xavier

Proceedings of the IEEE EUROCON 2019, 2019

Fast distributed MAP inference for large-scale graphical models.

Cláudia Soares, João Gomes

Proceedings of the IEEE EUROCON 2019, 2019

2018

FLORIS and CLORIS: Hybrid source and network localization based on ranges and video.

Beatriz Quintino Ferreira, João Gomes, Cláudia Soares, João Paulo Costeira

Signal Process., 2018

2017

DIeSEL: DIstributed SElf-Localization of a network of underwater vehicles.

Cláudia Soares, Pusheng Ji, João Gomes, António M. Pascoal

CoRR, 2017

LocDyn: Robust Distributed Localization for Mobile Underwater Networks.

Cláudia Soares, João Pedro Gomes, Beatriz Quintino Ferreira, João Paulo Costeira

CoRR, 2017

2015

Simple and Fast Convex Relaxation Method for Cooperative Localization in Sensor Networks Using Range Measurements.

Cláudia Soares, João M. F. Xavier, João Gomes

IEEE Trans. Signal Process., 2015

2014

Distributed, simple and stable network localization.

Cláudia Soares, João Xavier, João Gomes

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2012

DCOOL-NET: Distributed cooperative localization for sensor networks.

Cláudia Soares, João M. F. Xavier, João Gomes

CoRR, 2012