Publications
Publicações

Publications

A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs

European Conference on Artificial Intelligence (ECAI) | 2023

M. Fernanda P. Costa

Improving Neural ODEs Explainability: A Two-Stage Training Method for Modeling Constrained Natural Systems

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin, Italy (Accepted) | 2023

M. Fernanda P. Costa

A Study on Adaptive Penalty Functions in Neural ODEs for Real Systems Modeling

21st International Conference of Numerical Analysis and Applied Mathematics | 2023

M. Fernanda P. Costa

A Filter-based Neural ODE Approach for Modelling Natural Systems with Prior Knowledge Constraints

M. Fernanda P. Costa

DOI

A Suite of XAI techniques for Understanding Neural Ordinary Differential Equations

C. Coelho

M. Fernanda P. Costa

Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach

DOI

Not All Roses: The Impact of Neural Networks for Hydropower Plant Management in Agriculture

ECAI 2023 Workshop on Artificial Intelligence for Sustainability | 2023

M. Fernanda P. Costa

On the Use of Machine Learning Techniques and Non-Invasive Indicators for Classifying and Predicting Cardiac Disorders

Biomedicines | 2023

Raydonal Ospina

Adenice Ferreira

Hélio Oliveira

Victor Leiva

DOI

A robust finite difference method for confined and free surface flows with slip at the wall

Journal of Non-Newtonian Fluid Mechanics | 2023

G.S. Paulo

C. Viezel

DOI

Improved decay estimates and C²-asymptotic stability of solutions to the Einstein-scalar field system in spherical symmetry

Journal of Hyperbolic Differential Equations | 2023

João Costa

Rodrigo Duarte

DOI

Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach

M.P.F. Costa

On Hybrid Hyper k-Pell, k-Pell–Lucas, and Modified k-Pell Numbers

Axioms | 2023

Elen Spreafico

DOI