Luís L. Ferrás

21 papers Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Neural Chronos ODE: Modelling bidirectional temporal patterns in time-series data.
Expert Syst. Appl.
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2025 — ed.
Proceedings of the 2nd ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 26 October 2025, Bologna, Italy
ML-DE
Cecília Coelho, Bernd Zimmering, M. Fernanda P. Costa, Luís L. Ferrás, Oliver Niggemann
2024 J jnl
A Two-Stage Training Method for Modeling Constrained Systems With Neural Networks.
CoRR
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2024 J jnl
An Adaptive Hydropower Management Approach for Downstream Ecosystem Preservation.
CoRR
C. Coelho, M. Jing, M. Fernanda P. Costa, Luís L. Ferrás
2024 J jnl
Enhancing continuous time series modelling with a latent ODE-LSTM approach.
Appl. Math. Comput.
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2024 J jnl
Neural Fractional Differential Equations.
CoRR
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2024 — conf
Optimal Control of a Coastal Ecosystem Through Neural Ordinary Differential Equations.
ML-DE
Cecília Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2024 — ed.
Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 20 October 2024, Santiago de Compostela, Spain
ML-DE
Cecília Coelho, Bernd Zimmering, M. Fernanda P. Costa, Luís L. Ferrás, Oliver Niggemann
2024 — conf
Tracing Footprints: Neural Networks Meet Non-integer Order Differential Equations For Modelling Systems with Memory.
Tiny Papers @ ICLR
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2023 — conf
A Filter-Based Neural ODE Approach for Modelling Natural Systems with Prior Knowledge Constraints.
PKDD/ECML Workshops (3)
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2023 J jnl
A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs.
CoRR
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2023 J jnl
Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach.
CoRR
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2023 J jnl
Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data.
CoRR
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2023 — conf
Prior knowledge meets Neural ODEs: a two-stage training method for improved explainability.
Tiny Papers @ ICLR
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2023 — conf
The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities.
AI4KMES@ECAI
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2023 J jnl
The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities.
CoRR
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás
2021 — conf
A Numerical Method for the Transient Couette Flow of a Distributed-Order Viscoelastic Fluid.
ICCSA (4)
Luís L. Ferrás, Maria Luísa Morgado, Magda Rebelo
2021 J jnl
High-Order Methods for Systems of Fractional Ordinary Differential Equations and Their Application to Time-Fractional Diffusion Equations.
Math. Comput. Sci.
Luís L. Ferrás, Neville J. Ford, Maria Luísa Morgado, Magda Rebelo
2021 — conf
Object Detection with RetinaNet on Aerial Imagery: The Algarve Landscape.
ICCSA (2)
C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás, Ana Jacinta Soares
2021 — conf
Optimisation Approach for Parameter Estimation of the Generalised PTT Viscoelastic Model.
ICCSA (4)
M. Fernanda P. Costa, C. Coelho, Luís L. Ferrás
2014 — conf
A Numerical Method for the Solution of the Time-Fractional Diffusion Equation.
ICCSA (1)
Luís L. Ferrás, Neville J. Ford, Maria Luísa Morgado, Magda Rebelo