Publications
Publicações

Publications

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

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

Neurological Disease Classification based on Gait Analysis through Transformation-Based Multiple Linear Regression Normalization

XXVI Congresso da Sociedade Portuguesa de Estatística (SPE2023) | 2023

BÁRBARA ARAÚJO

Miguel Gago

Wolfram Erlhagen

Estela Bicho

Matérn Correlation and Stochastic Partial Differential Equation

Lisbon Young Mathematicians Conference 2023 | 2023
DOI

Two Experiences of Including Critical Thinking in Mathematics Courses

Maria Nascimento

DOI

ESTUDO DE SEQUÊNCIAS NUMÉRICAS PARA O ENSINO DE MATEMÁTICA

Revista Contrapontos | 2023

Renata Vieira

Francisco Alves

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

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

DOI

A Suite of XAI techniques for Understanding Neural Ordinary Differential Equations

C. Coelho

M. Fernanda P. Costa

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

M. Fernanda P. Costa

DOI

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

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

European Conference on Artificial Intelligence (ECAI) | 2023

M. Fernanda P. Costa

Flame dynamics of hydrogen/air mixture in a wavy micro-channel

International Journal of Hydrogen Energy | 2023

P.R. Resende

A.M. Afonso

DOI

Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data

M.P.F. Costa

An Analytic Method to Determine the Optimal Time for the Induction Phase of Anesthesia

Cristiana Silva

Delfim Torres

DOI

An Overview of Kriging and Cokriging Predictors for Functional Random Fields

Mathematics | 2023

Ramón Giraldo

Victor Leiva

DOI

Fractional Transformation-Based Decentralized Robust Control of a Coupled-Tank System for Industrial Applications

Fractal and Fractional | 2023

Muhammad Rahman

Victor Leiva

Asim Ghaffar

Carlos Martin-Barreiro

Aashir Waleed

Xavier Cabezas

DOI

Pharmacokinetic/Pharmacodynamic anesthesia model incorporating psi-Caputo fractional derivatives

Hanaa Zitane

Delfim Torres

DOI

Optimal control and biomathematics: modeling, control and optimization

Exploring the Influence of Various Factors on Salaries: A Regression Analysis Approach

XXVI Congresso da Sociedade Portuguesa de Estatística (SPE2023) | 2023

Ana Pedrosa

Ana Borges

José M Soares

Pedro Pacheco

Modeling of hourly water consumption of residential clients in the north of Portugal

XXX Jornadas de Classificação e Análise de Dados | 2023

Tatiana Cunha

Eliana Costa e Silva

Enhancing gait analysis through transformation-based multiple linear regression normalization

XXVI Congresso da Sociedade Portuguesa de Estatística (SPE2023) | 2023

BÁRBARA ARAÚJO

Estela Bicho

Wolfram Erlhagen