C. Soares, J. Xavier, J. Gomes, "Simple and Fast Convex Relaxation Method for Cooperative Localization in Sensor Networks Using Range Measurements." Signal Processing, IEEE Transactions on, 2015.
Cl{\'a}udia Soares, Joao Gomes, Beatriz Ferreira, Joao Costeira, "LocDyn: Robust distributed localization for mobile underwater networks." IEEE Journal of Oceanic Engineering, 2017.
Beatriz Ferreira, Joao Gomes, Claudia Soares, Joao Costeira, "FLORIS and CLORIS: Hybrid source and network localization based on ranges and video." Signal Processing, 2018.
C. {Soares}, F. {Valdeira}, J. {Gomes}, "Range and Bearing Data Fusion for Precise Convex Network Localization." IEEE Signal Processing Letters, 2020.
Maria Carvalho, Claudia Soares, Pedro Louren{\c{c}}o, Rodrigo Ventura, "COSMIC: fast closed-form identification from large-scale data for LTV systems." arXiv preprint arXiv:2112.04355, 2021.
Filipa Valdeira, Ricardo Ferreira, Alessandra Micheletti, Claudia Soares, "From Noisy Point Clouds to Complete Ear Shapes: Unsupervised Pipeline." IEEE Access, 2021.
REGINA DUARTE, QIWEI HAN, CLAUDIA SOARES, "Referral prediction in Healthcare using Graph Neural Networks." GReS – Workshop on Graph Neural Networks for Recommendation and Search. Co-located with the ACM RecSys ’21 conference, 2021.
Cláudia Soares, João Gomes, "STRONG: Synchronous and asynchronous robust network localization, under non-Gaussian noise." Signal Processing, 2021.
Marta Guimaraes, Cl{\'a}udia Soares, Rodrigo Ventura, "Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data." IEEE Transactions on Intelligent Transportation Systems, 2022.
Francisco Caldas, Claudia Soares, "Machine Learning in Orbit Estimation: a Survey." arXiv preprint arXiv:2207.08993, 2022.
Joao Domingos, Claudia Soares, Joao Xavier, "Robust Localization With Bounded Noise: Creating a Superset of the Possible Target Positions Via Linear-Fractional Representations." IEEE Transactions on Signal Processing, 2022.
Caldas, Francisco, and Cláudia Soares. "Machine Learning in Orbit Estimation: a Survey.", arXiv preprint arXiv:2207.08993 (2022).
Caldas, Francisco M., and Cláudia Soares. "A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding." Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I. Cham: Springer Nature Switzerland.
Pedro Valdeira, Yuejie Chi, Claudia Soares, Jo{\~a}o Xavier, "A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning." arXiv preprint arXiv:2309.09977, 2023.
Stevo Rackovic, Cl{\'a}udia Soares, Du{\v{s}}an Jakoveti{\'c}, Zoranka Desnica, "A majorization--minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation." Optimization Letters, 2023.
Chiara Manfletti, Marta Guimaraes, Claudia Soares, "AI for space traffic management." Journal of Space Safety Engineering, 2023.
Stevo Rackovic, Cl{\'a}udia Soares, Du{\v{s}}an Jakoveti{\'c}, Zoranka Desnica, "Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms." arXiv preprint arXiv:2302.04843, 2023.
Filipa Valdeira, Stevo Rackovi{\'c}, Valeria Danalachi, Qiwei Han, Cl{\'a}udia Soares, "Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata." arXiv preprint arXiv:2308.11022, 2023.
Stevo Rackovic, Cl{\'a}udia Soares, Du{\v{s}}an Jakoveti{\'c}, Zoranka Desnica, "High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model." arXiv preprint arXiv:2302.04820, 2023.
Diogo Lavado, Cl{\'a}udia 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." arXiv preprint arXiv:2306.07809, 2023.
Ricardo Ferreira, Marta Guimaraes, Filipa Valdeira, Claudia Soares, "One-Shot Initial Orbit Determination in Low-Earth Orbit." Accepted at the IEEE Aerospace Conference, 2023.
Marta Guimaraes, Claudia Soares, Chiara Manfletti, "Predicting the Position Uncertainty at the Time of Closest Approach with Diffusion Models." Accepted in the International Astronautical Congress 2023, 2023.
Marta Guimaraes, Claudia Soares, Chiara Manfletti, "Taxonomy for Resident Space Objects in LEO." Accepted in the International Astronautical Congress 2023, 2023.
Valdeira, F. M., Ferreira, R., Micheletti, A., & Soares, C. (2023). Probabilistic Registration for Gaussian Process Three-Dimensional Shape Modelling in the Presence of Extensive Missing Data. SIAM Journal on Mathematics of Data Science, 5(2), 502-527.
TBD