Publications
Publicações

Publications

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

Robust Semi-Parametric Inference for Two-Stage Production Models: A Beta Regression Approach

Symmetry | 2023

Raydonal Ospina

Samuel Baltazar

Victor Leiva

Jorge Figueroa-Zúñiga

DOI

Matérn Correlation and Stochastic Partial Differential Equation

Lisbon Young Mathematicians Conference 2023 | 2023
DOI

Constructive semigroups with apartness - a state of the art

arXiv | 2023

M. Mitrović

M.N. Hounkonnou

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

An Epidemiological Analysis for Assessing and Evaluating COVID-19 Based on Data Analytics in Latin American Countries

Biology | 2023

Victor Leiva

Esdras Alcudia

Julia Montano

DOI

On Fuzzy and Crisp Solutions of a Novel Fractional Pandemic Model

Fractal and Fractional | 2023

Kalpana Umapathy

Balaganesan Palanivelu

Victor Leiva

Prasantha Dhandapani

DOI

An Overview of Forecast Analysis with ARIMA Models during the COVID-19 Pandemic: Methodology and Case Study in Brazil

Mathematics | 2023

Raydonal Ospina

João Gondim

Victor Leiva

DOI