DCOOL-NET: Distributed cooperative localization for sensor networks. - Cláudia Soares; João M. F. Xavier; João Gomes 001 (CoRR, 2012)

Distributed, simple and stable network localization. - Cláudia Soares; João Xavier 001; João Gomes 001 (GlobalSIP, 2014)

Simple and Fast Convex Relaxation Method for Cooperative Localization in Sensor Networks Using Range Measurements. - Cláudia Soares; João M. F. Xavier; João Gomes 001 (IEEE Trans. Signal Process., 2015)

LocDyn: Robust Distributed Localization for Mobile Underwater Networks. - Cláudia Soares; João Pedro Gomes; Beatriz Quintino Ferreira; João Paulo Costeira (CoRR, 2017)

DIeSEL: DIstributed SElf-Localization of a network of underwater vehicles. - Cláudia Soares; Pusheng Ji; João Gomes 001; António M. Pascoal (CoRR, 2017)

FLORIS and CLORIS: Hybrid source and network localization based on ranges and video. - Beatriz Quintino Ferreira; João Gomes 001; Cláudia Soares; João Paulo Costeira (Signal Process., 2018)

Fast distributed MAP inference for large-scale graphical models. - Cláudia Soares; João Gomes 001 (EUROCON, 2019)

Locating a target from uncertain data: convex supersets based on linear-fractional representations. - Cláudia Soares; João Xavier 001 (EUROCON, 2019)

Finding Common Image Semantics for Urban Perceived Safety Based on Pairwise Comparisons. - Gabriel Costa; Cláudia Soares; Manuel Marques (EUSIPCO, 2019)

RANSIP : From noisy point clouds to complete ear models, unsupervised. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (CoRR, 2020)

Range and Bearing Data Fusion for Precise Convex Network Localization. - Cláudia Soares; Filipa Valdeira; João Gomes 001 (IEEE Signal Process. Lett., 2020)

Clustering of the Blendshape Facial Model. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic; Zoranka Desnica; Relja Ljubobratovic (EUSIPCO, 2021)

From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (IEEE Access, 2021)

Conjunction Data Messages behave as a Poisson Process. - Francisco M. Caldas; Cláudia Soares; Cláudia Nunes; Marta Guimarães; Mariana Filipe; Rodrigo Ventura 001 (CoRR, 2021)

Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic; Zoranka Desnica (CoRR, 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)

STRONG: Synchronous and asynchronous robust network localization, under non-Gaussian noise. - Cláudia Soares; João Gomes 001 (Signal Process., 2021)

A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding. - Francisco M. Caldas; Cláudia Soares (PKDD/ECML Workshops (1), 2022)

A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems. - Bárbara Tavares; Cláudia Soares; Manuel Marques (CoRR, 2022)

Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features. - Pedro Valdeira; Cláudia Soares; João Xavier 001 (CoRR, 2022)

Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (CoRR, 2022)

Machine Learning in Orbit Estimation: a Survey. - Francisco M. Caldas; Cláudia Soares (CoRR, 2022)

ISEE.U: Distributed online active target localization with unpredictable targets. - Miguel Vasques; Cláudia Soares; João Gomes 001 (CoRR, 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)

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)

Distributed Solution of the Blendshape Rig Inversion Problem. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic (SIGGRAPH Asia Technical Communications, 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)

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)

Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation. - Stevo Rackovic; Cláudia Soares; Dusan Jakovetic (CoRR, 2023)

Conjunction Data Messages for Space Collision Behave as a Poisson Process. - Francisco M. Caldas; Cláudia Soares; Cláudia Nunes; Marta Guimarães (CoRR, 2023)

EAMDrift: An interpretable self retrain model for time series. - Gonçalo Mateus; Cláudia Soares; João Leitão 001; António Rodrigues (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)

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)

A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning. - Pedro Valdeira; Yuejie Chi; Cláudia Soares; João Xavier 001 (CoRR, 2023)

Achieving Constraints in Neural Networks: A Stochastic Augmented Lagrangian Approach. - Diogo Lavado; Cláudia Soares; Alessandra Micheletti (CoRR, 2023)

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

Taxonomy for Resident Space Objects in LEO: A Deep Learning Approach. - Marta Guimarães; Cláudia Soares; Chiara Manfletti (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 002; Cláudia Soares; Marta Guimarães (CoRR, 2023)

Finding Real-World Orbital Motion Laws from Data. - João Funenga; Marta Guimarães; Henrique Costa; 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)

Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks. - Regina De Brito Duarte; Qiwei Han; Cláudia Soares (CoRR, 2023)

One-Shot Initial Orbit Determination in Low-Earth Orbit. - Ricardo Ferreira 002; Marta Guimarães; Filipa Valdeira; Cláudia Soares (CoRR, 2023)

Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data. - Filipa Valdeira; Ricardo Ferreira 002; Alessandra Micheletti; Cláudia Soares (SIAM J. Math. Data Sci., 2023)

Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables. - Francisco M. Caldas; Cláudia Soares (CEC, 2024)

PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning. - Frederico Metelo; Cláudia Soares; Stevo Rackovic; Pedro Ákos Costa (ECML/PKDD (9), 2024)

Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. - Stevo Rackovic; Dusan Jakovetic; Cláudia Soares (SIGGRAPH Asia, 2024)

PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement Learning. - Frederico Metelo; Stevo Rackovic; Pedro Ákos; 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)

Satellite Safe Margin: Fast solutions for Conjunction Analysis. - Ricardo Ferreira 002; Marta Guimarães; Cláudia Soares (CoRR, 2024)

Maximum likelihood localization of a network of moving agents from ranges, bearings and velocity measurements. - Filipa Valdeira; Cláudia Soares; João Gomes 001 (Signal Process., 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., 2024)

Ranking with Confidence for Large Scale Comparison Data. - Filipa Valdeira; Cláudia Soares (SDM, 2025)

Learning Under Noisy Labels, Spurious Points, and Diverse Structures: TS40K, a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission Systems. - Diogo Lavado; Ricardo Santos; André Coelho; João Santos; Alessandra Micheletti; Cláudia Soares (WACV, 2025)

Communication-Efficient Vertical Federated Learning via Compressed Error Feedback. - Pedro Valdeira; João Xavier 001; Cláudia Soares; Yuejie Chi (IEEE Trans. Signal Process., 2025)

A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems. - Alessandro Gambetti; Qiwei Han; Hong Shen; Cláudia Soares (CoRR, 2025)

Enhancing Power Grid Inspections with Machine Learning. - Diogo Lavado; Ricardo Santos; André Coelho; João Santos; Alessandra Micheletti; Cláudia Soares (CoRR, 2025)

Advancing Solutions for the Three-Body Problem Through Physics-Informed Neural Networks. - Manuel Santos Pereira; Luís Tripa; Nelson Lima; Francisco M. Caldas; Cláudia Soares (CoRR, 2025)

OrbitZoo: Multi-Agent Reinforcement Learning Environment for Orbital Dynamics. - Alexandre Oliveira; Katarina Dyreby; Francisco M. Caldas; Cláudia Soares (CoRR, 2025)

Modular Federated Learning: A Meta-Framework Perspective. - Frederico Vicente; Cláudia Soares; Dusan Jakovetic (CoRR, 2025)

FAuNO: Semi-Asynchronous Federated Reinforcement Learning Framework for Task Offloading in Edge Systems. - Frederico Metelo; Alexandre Oliveira; Stevo Rackovic; Pedro Ákos Costa; Cláudia Soares (CoRR, 2025)

C-PATH: Conversational Patient Assistance and Triage in Healthcare System. - Qi Shi; Qiwei Han; Cláudia Soares (CoRR, 2025)

Generalizing Trilateration: Approximate Maximum Likelihood Estimator for Initial Orbit Determination in Low Earth Orbit. - Ricardo Ferreira 002; Filipa Valdeira; Marta Guimarães; Cláudia Soares (IEEE Trans. Aerosp. Electron. Syst., 2025)