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2020 – today
- 2025
[j11]Pedro Valdeira
, João Xavier, Cláudia Soares, Yuejie Chi:
Communication-Efficient Vertical Federated Learning via Compressed Error Feedback. IEEE Trans. Signal Process. 73: 1065-1080 (2025)- [c12]Diogo Lavado, Ricardo Santos, André Coelho, João Santos, Alessandra Micheletti, Cláudia Soares:
Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems. WACV 2025: 7326-7336 - [i48]Alessandro Gambetti, Qiwei Han, Hong Shen, Cláudia Soares:
A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems. CoRR abs/2502.09849 (2025) - [i47]Diogo Lavado, Ricardo Santos, André Coelho, João Santos, Alessandra Micheletti, Cláudia Soares:
Enhancing Power Grid Inspections with Machine Learning. CoRR abs/2502.13037 (2025) - [i46]Manuel Santos Pereira, Luís Tripa, Nelson Lima, Francisco M. Caldas, Cláudia Soares:
Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks. CoRR abs/2503.04585 (2025) - [i45]Ricardo Ferreira, Cláudia Soares:
Follow-the-Regularized-Leader with Adversarial Constraints. CoRR abs/2503.13366 (2025) - [i44]Alexandre Oliveira, Katarina Dyreby, Francisco M. Caldas, Cláudia Soares:
OrbitZoo: Multi-Agent Reinforcement Learning Environment for Orbital Dynamics. CoRR abs/2504.04160 (2025) - 2024
- [j10]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): 545-559 (2024) - [j9]Filipa Valdeira, Cláudia Soares, João Gomes:
Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements. Signal Process. 221: 109471 (2024) - [c11]Francisco M. Caldas, Cláudia Soares:
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables. CEC 2024: 1-8 - [c10]Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi:
Communication-efficient Vertical Federated Learning via Compressed Error Feedback. EUSIPCO 2024: 1037-1041 - [c9]Frederico Metelo, Cláudia Soares, Stevo Rackovic, Pedro Ákos Costa:
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning. ECML/PKDD (9) 2024: 38-54 - [c8]Stevo Rackovic, Dusan Jakovetic, Cláudia Soares:
Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. SIGGRAPH Asia 2024: 45:1-45:9 - [i43]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic:
Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. CoRR abs/2401.16496 (2024) - [i42]Frederico Metelo, Stevo Rackovic, Pedro Ákos, Cláudia Soares:
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning. CoRR abs/2403.17637 (2024) - [i41]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 abs/2405.13989 (2024) - [i40]Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi:
Communication-efficient Vertical Federated Learning via Compressed Error Feedback. CoRR abs/2406.14420 (2024) - [i39]Francisco M. Caldas, Cláudia Soares:
Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables. CoRR abs/2407.11026 (2024) - [i38]Ricardo Ferreira, Filipa Valdeira, Marta Guimarães, Cláudia Soares:
Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low-Earth Orbit. CoRR abs/2407.15180 (2024) - [i37]Ricardo Ferreira, Marta Guimarães, Cláudia Soares:
Satellite Safe Margin: Fast solutions for Conjunction Analysis. CoRR abs/2410.24092 (2024) - 2023
- [j8]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): 502-527 (2023) - [c7]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic:
Distributed Solution of the Blendshape Rig Inversion Problem. SIGGRAPH Asia Technical Communications 2023: 24:1-24:4 - [i36]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica:
High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model. CoRR abs/2302.04820 (2023) - [i35]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 abs/2302.04843 (2023) - [i34]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic:
Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation. CoRR abs/2303.06370 (2023) - [i33]Francisco M. Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães:
Conjunction Data Messages for Space Collision Behave as a Poisson Process. CoRR abs/2303.15074 (2023) - [i32]Gonçalo Mateus, Cláudia Soares, João Leitão, António Rodrigues:
EAMDrift: An interpretable self retrain model for time series. CoRR abs/2305.19837 (2023) - [i31]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 abs/2306.07809 (2023) - [i30]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 abs/2308.11022 (2023) - [i29]Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier:
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning. CoRR abs/2309.09977 (2023) - [i28]Diogo Lavado, Cláudia Soares, Alessandra Micheletti:
Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach. CoRR abs/2310.16647 (2023) - [i27]Marta Guimarães, Cláudia Soares, Chiara Manfletti:
Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models. CoRR abs/2311.05417 (2023) - [i26]Marta Guimarães, Cláudia Soares, Chiara Manfletti:
Statistical Learning of Conjunction Data Messages Through a Bayesian Non-Homogeneous Poisson Process. CoRR abs/2311.05426 (2023) - [i25]Marta Guimarães, Cláudia Soares, Chiara Manfletti:
Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach. CoRR abs/2311.05430 (2023) - [i24]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 abs/2311.08978 (2023) - [i23]João Funenga, Marta Guimarães, Henrique Costa, Cláudia Soares:
Finding Real-World Orbital Motion Laws from Data. CoRR abs/2311.10012 (2023) - [i22]João Simões Catulo, Cláudia Soares, Marta Guimarães:
Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach. CoRR abs/2311.10633 (2023) - [i21]Regina De Brito Duarte, Qiwei Han, Cláudia Soares:
Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks. CoRR abs/2312.02387 (2023) - [i20]Ricardo Ferreira, Marta Guimarães, Filipa Valdeira, Cláudia Soares:
One-Shot Initial Orbit Determination in Low-Earth Orbit. CoRR abs/2312.13318 (2023) - 2022
- [j7]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): 16005-16015 (2022) - [j6]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: 3743-3757 (2022) - [c6]Francisco M. Caldas, Cláudia Soares:
A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding. PKDD/ECML Workshops (1) 2022: 71-88 - [i19]Bárbara Tavares, Cláudia Soares, Manuel Marques:
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems. CoRR abs/2201.00720 (2022) - [i18]Pedro Valdeira, Cláudia Soares, João Xavier:
Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features. CoRR abs/2201.09965 (2022) - [i17]Filipa Valdeira, Cláudia Soares:
Ranking with Confidence for Large Scale Comparison Data. CoRR abs/2202.01670 (2022) - [i16]Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares:
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data. CoRR abs/2203.14113 (2022) - [i15]Francisco M. Caldas, Cláudia Soares:
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding. CoRR abs/2207.00610 (2022) - [i14]Francisco M. Caldas, Cláudia Soares:
Machine Learning in Orbit Estimation: a Survey. CoRR abs/2207.08993 (2022) - [i13]Miguel Vasques, Cláudia Soares, João Gomes:
ISEE.U: Distributed online active target localization with unpredictable targets. CoRR abs/2210.09107 (2022) - 2021
- [j5]Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares:
From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline. IEEE Access 9: 127720-127734 (2021) - [j4]Cláudia Soares, João Gomes:
STRONG: Synchronous and asynchronous robust network localization, under non-Gaussian noise. Signal Process. 185: 108066 (2021) - [c5]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic:
Clustering of the Blendshape Facial Model. EUSIPCO 2021: 1556-1560 - [i12]Francisco M. Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães, Mariana Filipe, Rodrigo Ventura:
Conjunction Data Messages behave as a Poisson Process. CoRR abs/2105.08509 (2021) - [i11]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica:
Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach. CoRR abs/2109.08356 (2021) - [i10]Cláudia Soares, João Gomes:
STRONG: Synchronous and asynchronous RObust Network localization, under Non-Gaussian noise. CoRR abs/2110.00594 (2021) - [i9]Cláudia Soares, Filipa Valdeira, João Gomes:
Range and Bearing Data Fusion for Precise Convex Network Localization. CoRR abs/2110.03523 (2021) - [i8]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic:
Clustering of the Blendshape Facial Model. CoRR abs/2110.15313 (2021) - [i7]Marta Guimarães, Cláudia Soares, Rodrigo M. M. Ventura:
Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data. CoRR abs/2111.01915 (2021) - [i6]Maria Carvalho, Cláudia Soares, Pedro Lourenço, Rodrigo M. M. Ventura:
COSMIC: fast closed-form identification from large-scale data for LTV systems. CoRR abs/2112.04355 (2021) - 2020
- [j3]Cláudia Soares, Filipa Valdeira, João Gomes:
Range and Bearing Data Fusion for Precise Convex Network Localization. IEEE Signal Process. Lett. 27: 670-674 (2020) - [i5]Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares:
RANSIP : From noisy point clouds to complete ear models, unsupervised. CoRR abs/2008.09831 (2020)
2010 – 2019
- 2019
- [c4]Cláudia Soares, João Gomes:
Fast distributed MAP inference for large-scale graphical models. EUROCON 2019: 1-5 - [c3]Cláudia Soares, João Xavier:
Locating a target from uncertain data: convex supersets based on linear-fractional representations. EUROCON 2019: 1-5 - [c2]Gabriel Costa, Cláudia Soares, Manuel Marques:
Finding Common Image Semantics for Urban Perceived Safety Based on Pairwise Comparisons. EUSIPCO 2019: 1-5 - 2018
- [j2]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: 355-367 (2018) - [i4]Beatriz Quintino Ferreira, João Gomes, Cláudia Soares, João Paulo Costeira:
FLORIS and CLORIS: Hybrid Source and Network Localization Based on Ranges and Video. CoRR abs/1801.08155 (2018) - 2017
- [i3]Cláudia Soares, João Pedro Gomes, Beatriz Quintino Ferreira, João Paulo Costeira:
LocDyn: Robust Distributed Localization for Mobile Underwater Networks. CoRR abs/1701.08027 (2017) - [i2]Cláudia Soares, Pusheng Ji, João Gomes, António M. Pascoal:
DIeSEL: DIstributed SElf-Localization of a network of underwater vehicles. CoRR abs/1709.08746 (2017) - 2015
- [j1]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): 4532-4543 (2015) - 2014
- [c1]Cláudia Soares, João Xavier, João Gomes:
Distributed, simple and stable network localization. GlobalSIP 2014: 764-768 - 2012
- [i1]Cláudia Soares, João M. F. Xavier, João Gomes:
DCOOL-NET: Distributed cooperative localization for sensor networks. CoRR abs/1211.7277 (2012)
Coauthor Index
aka: João Pedro Gomes
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