Cláudia Soares

85 papers A* 1A 2B 1Journal 70Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting. CoRR Francisco M. Caldas, Sahil Kumar, Cláudia Soares
2026	J	`jnl`	A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning. IEEE Trans. Signal Process. Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier
2026	J	`jnl`	CLASP: An online learning algorithm for Convex Losses And Squared Penalties. CoRR Ricardo Ferreira, João M. F. Xavier, Cláudia Soares
2026	J	`jnl`	Online Learning for Dynamic Constellation Topologies. CoRR João Norberto, Ricardo Ferreira, Cláudia Soares
2025	J	`jnl`	A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems. CoRR Alessandro Gambetti, Qiwei Han, Hong Shen, Cláudia Soares
2025	J	`jnl`	Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks. CoRR Manuel Santos Pereira, Luís Tripa, Nelson Lima, Francisco M. Caldas, Cláudia Soares
2025	J	`jnl`	Analyzing Data Quality and Decay in Mega-Constellations: A Physics-Informed Machine Learning Approach. CoRR Katarina Dyreby, Francisco M. Caldas, Cláudia Soares
2025	—	`conf`	C-PATH: Conversational Patient Assistance and Triage in Healthcare System. ICDH Qi Shi, Qiwei Han, Cláudia Soares
2025	J	`jnl`	C-PATH: Conversational Patient Assistance and Triage in Healthcare System. CoRR Qi Shi, Qiwei Han, Cláudia Soares
2025	J	`jnl`	Communication-Efficient Vertical Federated Learning via Compressed Error Feedback. IEEE Trans. Signal Process. Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi
2025	J	`jnl`	Enhancing Power Grid Inspections with Machine Learning. CoRR Diogo Lavado, Ricardo Santos, André Coelho, João Santos, Alessandra Micheletti, Cláudia Soares
2025	J	`jnl`	FAuNO: Semi-Asynchronous Federated Reinforcement Learning Framework for Task Offloading in Edge Systems. CoRR Frederico Metelo, Alexandre Oliveira, Stevo Rackovic, Pedro Ákos Costa, Cláudia Soares
2025	J	`jnl`	Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low Earth Orbit. IEEE Trans. Aerosp. Electron. Syst. Ricardo Ferreira, Filipa Valdeira, Marta Guimarães, Cláudia Soares
2025	J	`jnl`	Keep Calm and Avoid Harmful Content: Concept Alignment and Latent Manipulation Towards Safer Answers. CoRR Ruben Belo, Marta Guimarães, Cláudia Soares
2025	A	`conf`	Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems. WACV Diogo Lavado, Ricardo Santos, André Coelho, João Santos, Alessandra Micheletti, Cláudia Soares
2025	J	`jnl`	Modular Federated Learning: A Meta-Framework Perspective. CoRR Frederico Vicente, Cláudia Soares, Dusan Jakovetic
2025	J	`jnl`	OrbitZoo: Multi-Agent Reinforcement Learning Environment for Orbital Dynamics. CoRR Alexandre Oliveira, Katarina Dyreby, Francisco M. Caldas, Cláudia Soares
2025	A	`conf`	Ranking with Confidence for Large Scale Comparison Data. SDM Filipa Valdeira, Cláudia Soares
2025	J	`jnl`	SCENE-Net: Geometric induction for interpretable and low-resource 3D pole detection with Group-Equivariant Non-Expansive Operators. Comput. Vis. Image Underst. Diogo Lavado, Alessandra Micheletti, Giovanni Bocchi, Patrizio Frosini, Cláudia Soares
2025	J	`jnl`	The impact of modeling approaches on controlling safety-critical, highly perturbed systems: the case for data-driven models. CoRR Piotr Laszkiewicz, Maria Carvalho, Cláudia Soares, Pedro Lourenço
2024	J	`jnl`	A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation. Optim. Lett. Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
2024	—	`conf`	Communication-efficient Vertical Federated Learning via Compressed Error Feedback. EUSIPCO Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi
2024	J	`jnl`	Communication-efficient Vertical Federated Learning via Compressed Error Feedback. CoRR Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi
2024	J	`jnl`	Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low-Earth Orbit. CoRR Ricardo Ferreira, Filipa Valdeira, Marta Guimarães, Cláudia Soares
2024	J	`jnl`	Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements. Signal Process. Filipa Valdeira, Cláudia Soares, João Gomes
2024	—	`conf`	PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning. ECML/PKDD (9) Frederico Metelo, Cláudia Soares, Stevo Rackovic, Pedro Ákos Costa
2024	J	`jnl`	PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning. CoRR Frederico Metelo, Stevo Rackovic, Pedro Ákos, Cláudia Soares
2024	B	`conf`	Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables. CEC Francisco M. Caldas, Cláudia Soares
2024	J	`jnl`	Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables. CoRR Francisco M. Caldas, Cláudia Soares
2024	A*	`conf`	Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. SIGGRAPH Asia Stevo Rackovic, Dusan Jakovetic, Cláudia Soares
2024	J	`jnl`	Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
2024	—	`conf`	SCENE-Net V2: Interpretable Multiclass 3D Scene Understanding with Geometric Priors. GRaM Diogo Lavado, Cláudia Soares, Alessandra Micheletti
2024	J	`jnl`	Satellite Safe Margin: Fast solutions for Conjunction Analysis. CoRR Ricardo Ferreira, Marta Guimarães, Cláudia Soares
2024	J	`jnl`	TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System. CoRR Diogo Lavado, Cláudia Soares, Alessandra Micheletti, Ricardo Santos, André Coelho, João Santos
2023	J	`jnl`	A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning. CoRR Pedro Valdeira, Yuejie Chi, Cláudia Soares, João Xavier
2023	J	`jnl`	Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
2023	J	`jnl`	Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach. CoRR Diogo Lavado, Cláudia Soares, Alessandra Micheletti
2023	J	`jnl`	Conjunction Data Messages for Space Collision Behave as a Poisson Process. CoRR Francisco M. Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães
2023	J	`jnl`	Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks. CoRR Regina De Brito Duarte, Qiwei Han, Cláudia Soares
2023	—	`conf`	Distributed Solution of the Blendshape Rig Inversion Problem. SIGGRAPH Asia Technical Communications Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
2023	J	`jnl`	Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic
2023	J	`jnl`	EAMDrift: An interpretable self retrain model for time series. CoRR Gonçalo Mateus, Cláudia Soares, João Leitão, António Rodrigues
2023	J	`jnl`	Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata. CoRR Filipa Valdeira, Stevo Rackovic, Valeria Danalachi, Qiwei Han, Cláudia Soares
2023	J	`jnl`	Finding Real-World Orbital Motion Laws from Data. CoRR João Funenga, Marta Guimarães, Henrique Costa, Cláudia Soares
2023	J	`jnl`	High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
2023	J	`jnl`	Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification. CoRR Diogo Lavado, Cláudia Soares, Alessandra Micheletti, Giovanni Bocchi, Alex Coronati, Manuel Silva, Patrizio Frosini
2023	J	`jnl`	One-Shot Initial Orbit Determination in Low-Earth Orbit. CoRR Ricardo Ferreira, Marta Guimarães, Filipa Valdeira, Cláudia Soares
2023	J	`jnl`	Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models. CoRR Marta Guimarães, Cláudia Soares, Chiara Manfletti
2023	J	`jnl`	Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach. CoRR João Simões Catulo, Cláudia Soares, Marta Guimarães
2023	J	`jnl`	Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data. SIAM J. Math. Data Sci. Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
2023	J	`jnl`	Probability of Collision of satellites and space debris for short-term encounters: Rederivation and fast-to-compute upper and lower bounds. CoRR Ricardo Ferreira, Cláudia Soares, Marta Guimarães
2023	J	`jnl`	Statistical Learning of Conjunction Data Messages Through a Bayesian Non-Homogeneous Poisson Process. CoRR Marta Guimarães, Cláudia Soares, Chiara Manfletti
2023	J	`jnl`	Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach. CoRR Marta Guimarães, Cláudia Soares, Chiara Manfletti
2022	J	`jnl`	A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems. CoRR Bárbara Tavares, Cláudia Soares, Manuel Marques
2022	—	`conf`	A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding. PKDD/ECML Workshops (1) Francisco M. Caldas, Cláudia Soares
2022	J	`jnl`	A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding. CoRR Francisco M. Caldas, Cláudia Soares
2022	J	`jnl`	Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features. CoRR Pedro Valdeira, Cláudia Soares, João Xavier
2022	J	`jnl`	Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data. IEEE Trans. Intell. Transp. Syst. Marta Guimarães, Cláudia Soares, Rodrigo M. M. Ventura
2022	J	`jnl`	ISEE.U: Distributed online active target localization with unpredictable targets. CoRR Miguel Vasques, Cláudia Soares, João Gomes
2022	J	`jnl`	Machine Learning in Orbit Estimation: a Survey. CoRR Francisco M. Caldas, Cláudia Soares
2022	J	`jnl`	Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data. CoRR Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
2022	J	`jnl`	Ranking with Confidence for Large Scale Comparison Data. CoRR Filipa Valdeira, Cláudia Soares
2022	J	`jnl`	Robust Localization With Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations. IEEE Trans. Signal Process. João Domingos, Cláudia Soares, João Xavier
2021	J	`jnl`	Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica
2021	J	`jnl`	COSMIC: fast closed-form identification from large-scale data for LTV systems. CoRR Maria Carvalho, Cláudia Soares, Pedro Lourenço, Rodrigo M. M. Ventura
2021	—	`conf`	Clustering of the Blendshape Facial Model. EUSIPCO Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic
2021	J	`jnl`	Clustering of the Blendshape Facial Model. CoRR Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic
2021	J	`jnl`	Conjunction Data Messages behave as a Poisson Process. CoRR Francisco M. Caldas, Cláudia Soares, Cláudia Nunes, Marta Guimarães, Mariana Filipe, Rodrigo Ventura
2021	J	`jnl`	Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data. CoRR Marta Guimarães, Cláudia Soares, Rodrigo M. M. Ventura
2021	J	`jnl`	From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline. IEEE Access Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
2021	J	`jnl`	Range and Bearing Data Fusion for Precise Convex Network Localization. CoRR Cláudia Soares, Filipa Valdeira, João Gomes
2021	J	`jnl`	STRONG: Synchronous and asynchronous RObust Network localization, under Non-Gaussian noise. CoRR Cláudia Soares, João Gomes
2021	J	`jnl`	STRONG: Synchronous and asynchronous robust network localization, under non-Gaussian noise. Signal Process. Cláudia Soares, João Gomes
2020	J	`jnl`	RANSIP : From noisy point clouds to complete ear models, unsupervised. CoRR Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Cláudia Soares
2020	J	`jnl`	Range and Bearing Data Fusion for Precise Convex Network Localization. IEEE Signal Process. Lett. Cláudia Soares, Filipa Valdeira, João Gomes
2019	—	`conf`	Fast distributed MAP inference for large-scale graphical models. EUROCON Cláudia Soares, João Gomes
2019	—	`conf`	Finding Common Image Semantics for Urban Perceived Safety Based on Pairwise Comparisons. EUSIPCO Gabriel Costa, Cláudia Soares, Manuel Marques
2019	—	`conf`	Locating a target from uncertain data: convex supersets based on linear-fractional representations. EUROCON Cláudia Soares, João Xavier
2018	J	`jnl`	FLORIS and CLORIS: Hybrid Source and Network Localization Based on Ranges and Video. CoRR Beatriz Quintino Ferreira, João Gomes, Cláudia Soares, João Paulo Costeira
2018	J	`jnl`	FLORIS and CLORIS: Hybrid source and network localization based on ranges and video. Signal Process. Beatriz Quintino Ferreira, João Gomes, Cláudia Soares, João Paulo Costeira
2017	J	`jnl`	DIeSEL: DIstributed SElf-Localization of a network of underwater vehicles. CoRR Cláudia Soares, Pusheng Ji, João Gomes, António M. Pascoal
2017	J	`jnl`	LocDyn: Robust Distributed Localization for Mobile Underwater Networks. CoRR Cláudia Soares, João Pedro Gomes, Beatriz Quintino Ferreira, João Paulo Costeira
2015	J	`jnl`	Simple and Fast Convex Relaxation Method for Cooperative Localization in Sensor Networks Using Range Measurements. IEEE Trans. Signal Process. Cláudia Soares, João M. F. Xavier, João Gomes
2014	—	`conf`	Distributed, simple and stable network localization. GlobalSIP Cláudia Soares, João Xavier, João Gomes
2012	J	`jnl`	DCOOL-NET: Distributed cooperative localization for sensor networks. CoRR Cláudia Soares, João M. F. Xavier, João Gomes