Cláudia Soares
Orcid: 0000-0003-3071-6627
According to our database1,
Cláudia Soares
authored at least 63 papers
between 2012 and 2025.
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Bibliography
2025
Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low Earth Orbit.
IEEE Trans. Aerosp. Electron. Syst., August, 2025
CoRR, June, 2025
FAuNO: Semi-Asynchronous Federated Reinforcement Learning Framework for Task Offloading in Edge Systems.
CoRR, June, 2025
CoRR, April, 2025
Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks.
CoRR, March, 2025
A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems.
CoRR, February, 2025
IEEE Trans. Signal Process., 2025
Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Proceedings of the 2025 SIAM International Conference on Data Mining, 2025
2024
A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation.
Optim. Lett., March, 2024
Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements.
Signal Process., 2024
CoRR, 2024
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning.
CoRR, 2024
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables.
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.
SIAM J. Math. Data Sci., June, 2023
Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks.
CoRR, 2023
Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach.
CoRR, 2023
Probability of Collision of satellites and space debris for short-term encounters: Rederivation and fast-to-compute upper and lower bounds.
CoRR, 2023
Statistical Learning of Conjunction Data Messages Through a Bayesian Non-Homogeneous Poisson Process.
CoRR, 2023
Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models.
CoRR, 2023
Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach.
CoRR, 2023
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning.
CoRR, 2023
Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata.
CoRR, 2023
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms.
CoRR, 2023
High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model.
CoRR, 2023
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.
IEEE Trans. Signal Process., 2022
Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data.
IEEE Trans. Intell. Transp. Syst., 2022
CoRR, 2022
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data.
CoRR, 2022
CoRR, 2022
CoRR, 2022
A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding.
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.
Signal Process., 2021
CoRR, 2021
Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach.
CoRR, 2021
IEEE Access, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
2020
IEEE Signal Process. Lett., 2020
2019
Finding Common Image Semantics for Urban Perceived Safety Based on Pairwise Comparisons.
Proceedings of the 27th European Signal Processing Conference, 2019
Locating a target from uncertain data: convex supersets based on linear-fractional representations.
Proceedings of the IEEE EUROCON 2019, 2019
Proceedings of the IEEE EUROCON 2019, 2019
2018
Signal Process., 2018
2017
CoRR, 2017
2015
Simple and Fast Convex Relaxation Method for Cooperative Localization in Sensor Networks Using Range Measurements.
IEEE Trans. Signal Process., 2015
2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
2012