A Numerical Method for the Solution of the Time-Fractional Diffusion Equation. - Luís L. Ferrás; Neville J. Ford; Maria Luísa Morgado; Magda Rebelo (ICCSA (1), 2014)

Object Detection with RetinaNet on Aerial Imagery: The Algarve Landscape. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás; Ana Jacinta Soares (ICCSA (2), 2021)

Optimisation Approach for Parameter Estimation of the Generalised PTT Viscoelastic Model. - M. Fernanda P. Costa; C. Coelho 002; Luís L. Ferrás (ICCSA (4), 2021)

A Numerical Method for the Transient Couette Flow of a Distributed-Order Viscoelastic Fluid. - Luís L. Ferrás; Maria Luísa Morgado; Magda Rebelo (ICCSA (4), 2021)

High-Order Methods for Systems of Fractional Ordinary Differential Equations and Their Application to Time-Fractional Diffusion Equations. - Luís L. Ferrás; Neville J. Ford; Maria Luísa Morgado; Magda Rebelo (Math. Comput. Sci., 2021)

The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás (AI4KMES@ECAI, 2023)

Prior knowledge meets Neural ODEs: a two-stage training method for improved explainability. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás (Tiny Papers @ ICLR, 2023)

A Filter-Based Neural ODE Approach for Modelling Natural Systems with Prior Knowledge Constraints. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás (PKDD/ECML Workshops (3), 2023)

Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás (CoRR, 2023)

A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás (CoRR, 2023)

Tracing Footprints: Neural Networks Meet Non-integer Order Differential Equations For Modelling Systems with Memory. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás (Tiny Papers @ ICLR, 2024)

Enhancing continuous time series modelling with a latent ODE-LSTM approach. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás (Appl. Math. Comput., 2024)

A Two-Stage Training Method for Modeling Constrained Systems With Neural Networks. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás (CoRR, 2024)

Neural Fractional Differential Equations. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás (CoRR, 2024)

An Adaptive Hydropower Management Approach for Downstream Ecosystem Preservation. - C. Coelho 002; M. Jing; M. Fernanda P. Costa; Luís L. Ferrás (CoRR, 2024)

Neural Chronos ODE: Modelling bidirectional temporal patterns in time-series data. - C. Coelho 002; M. Fernanda P. Costa; Luís L. Ferrás (Expert Syst. Appl., 2025)