Cláudia Soares

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 53

Top Topics

Orbit Determination

Poisson Process

Top Venues

Signal Process.

IEEE Trans. Signal Process.

Publications

Francisco M. Caldas, Cláudia Soares
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables. CEC (2024)
Diogo Lavado, Cláudia Soares, Alessandra Micheletti, Ricardo Santos, André Coelho, João Santos
TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System. CoRR (2024)
Francisco M. Caldas, Cláudia Soares
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables. CoRR (2024)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation. Optim. Lett. 18 (2) (2024)
Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi
Communication-efficient Vertical Federated Learning via Compressed Error Feedback. CoRR (2024)
Ricardo Ferreira, Filipa Valdeira, Marta Guimarães, Cláudia Soares
Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low-Earth Orbit. CoRR (2024)
Frederico Metelo, Stevo Rackovic, Pedro Ákos, Cláudia Soares
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning. CoRR (2024)
Filipa Valdeira, Cláudia Soares, João Gomes
Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements. Signal Process. 221 (2024)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. CoRR (2024)
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data. SIAM J. Math. Data Sci. 5 (2) (2023)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
Distributed Solution of the Blendshape Rig Inversion Problem. SIGGRAPH Asia Technical Communications (2023)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms. CoRR (2023)
João Simões Catulo, Cláudia Soares, Marta Guimarães
Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach. CoRR (2023)
Ricardo Ferreira, Marta Guimarães, Filipa Valdeira, Cláudia Soares
One-Shot Initial Orbit Determination in Low-Earth Orbit. CoRR (2023)
Francisco M. Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães
Conjunction Data Messages for Space Collision Behave as a Poisson Process. CoRR (2023)
Diogo Lavado, Cláudia Soares, Alessandra Micheletti, Giovanni Bocchi, Alex Coronati, Manuel Silva, Patrizio Frosini
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification. CoRR (2023)
Marta Guimarães, Cláudia Soares, Chiara Manfletti
Statistical Learning of Conjunction Data Messages Through a Bayesian Non-Homogeneous Poisson Process. CoRR (2023)
Gonçalo Mateus, Cláudia Soares, João Leitão, António Rodrigues
EAMDrift: An interpretable self retrain model for time series. CoRR (2023)
Marta Guimarães, Cláudia Soares, Chiara Manfletti
Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models. CoRR (2023)
Filipa Valdeira, Stevo Rackovic, Valeria Danalachi, Qiwei Han, Cláudia Soares
Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata. CoRR (2023)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation. CoRR (2023)
Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning. CoRR (2023)
Diogo Lavado, Cláudia Soares, Alessandra Micheletti
Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach. CoRR (2023)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model. CoRR (2023)
João Funenga, Marta Guimarães, Henrique Costa, Cláudia Soares
Finding Real-World Orbital Motion Laws from Data. CoRR (2023)
Ricardo Ferreira, Cláudia Soares, Marta Guimarães
Probability of Collision of satellites and space debris for short-term encounters: Rederivation and fast-to-compute upper and lower bounds. CoRR (2023)
Marta Guimarães, Cláudia Soares, Chiara Manfletti
Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach. CoRR (2023)
Regina De Brito Duarte, Qiwei Han, Cláudia Soares
Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks. CoRR (2023)
Filipa Valdeira, Cláudia Soares
Ranking with Confidence for Large Scale Comparison Data. CoRR (2022)
Miguel Vasques, Cláudia Soares, João Gomes
ISEE.U: Distributed online active target localization with unpredictable targets. CoRR (2022)
Pedro Valdeira, Cláudia Soares, João M. F. Xavier
Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features. CoRR (2022)
Francisco M. Caldas, Cláudia Soares
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding. CoRR (2022)
Marta Guimarães, Cláudia Soares, Rodrigo M. M. Ventura
Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Francisco M. Caldas, Cláudia Soares
A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding. PKDD/ECML Workshops (1) (2022)
Bárbara Tavares, Cláudia Soares, Manuel Marques
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems. CoRR (2022)
Francisco M. Caldas, Cláudia Soares
Machine Learning in Orbit Estimation: a Survey. CoRR (2022)
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data. CoRR (2022)
João Domingos, Cláudia Soares, João Xavier
Robust Localization With Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations. IEEE Trans. Signal Process. 70 (2022)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic
Clustering of the Blendshape Facial Model. CoRR (2021)
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline. IEEE Access 9 (2021)
Cláudia Soares, João Gomes
STRONG: Synchronous and asynchronous robust network localization, under non-Gaussian noise. Signal Process. 185 (2021)
Cláudia Soares, Filipa Valdeira, João Gomes
Range and Bearing Data Fusion for Precise Convex Network Localization. CoRR (2021)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic
Clustering of the Blendshape Facial Model. EUSIPCO (2021)
Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach. CoRR (2021)
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
RANSIP : From noisy point clouds to complete ear models, unsupervised. CoRR (2020)
Cláudia Soares, Filipa Valdeira, João Gomes
Range and Bearing Data Fusion for Precise Convex Network Localization. IEEE Signal Process. Lett. 27 (2020)
Cláudia Soares, João Gomes
Fast distributed MAP inference for large-scale graphical models. EUROCON (2019)
Cláudia Soares, João M. F. Xavier
Locating a target from uncertain data: convex supersets based on linear-fractional representations. EUROCON (2019)
Gabriel Costa, Cláudia Soares, Manuel Marques
Finding Common Image Semantics for Urban Perceived Safety Based on Pairwise Comparisons. EUSIPCO (2019)
Beatriz Quintino Ferreira, João Gomes, Cláudia Soares, João Paulo Costeira
FLORIS and CLORIS: Hybrid source and network localization based on ranges and video. Signal Process. 153 (2018)
Beatriz Quintino Ferreira, João Gomes, Cláudia Soares, João Paulo Costeira
FLORIS and CLORIS: Hybrid Source and Network Localization Based on Ranges and Video. CoRR (2018)
Cláudia Soares, João Pedro Gomes, Beatriz Quintino Ferreira, João Paulo Costeira
LocDyn: Robust Distributed Localization for Mobile Underwater Networks. CoRR (2017)
Cláudia Soares, Pusheng Ji, João Gomes, António M. Pascoal
DIeSEL: DIstributed SElf-Localization of a network of underwater vehicles. CoRR (2017)
Cláudia Soares, João M. F. Xavier, João Gomes
Simple and Fast Convex Relaxation Method for Cooperative Localization in Sensor Networks Using Range Measurements. IEEE Trans. Signal Process. 63 (17) (2015)
Cláudia Soares, João M. F. Xavier, João Gomes
Distributed, simple and stable network localization. GlobalSIP (2014)
Cláudia Soares, João M. F. Xavier, João Gomes
DCOOL-NET: Distributed cooperative localization for sensor networks. CoRR (2012)