| Enhancing continuous time series modelling with a latent ODE-LSTM approach C Coelho, MFP Costa, LL Ferrás Applied Mathematics and Computation 475, 128727, 2024 | 10 | 2024 |
| Object detection with retinanet on aerial imagery: The algarve landscape C Coelho, MFP Costa, LL Ferrás, AJ Soares International Conference on Computational Science and Its Applications, 501-516, 2021 | 7 | 2021 |
| Prior knowledge meets neural ODEs: a two-stage training method for improved explainability C Coelho, MFP Costa, LL Ferrás | 4 | 2023 |
| Neural Fractional Differential Equations C Coelho, MFP Costa, LL Ferrás arXiv preprint arXiv:2403.02737, 2024 | 3 | 2024 |
| Tracing footprints: Neural networks meet non-integer order differential equations for modelling systems with memory C Coelho, MFP Costa, LL Ferrás The Second Tiny Papers Track at ICLR 2024, 2024 | 2 | 2024 |
| Optimisation approach for parameter estimation of the generalised PTT viscoelastic model MFP Costa, C Coelho, LL Ferrás International Conference on Computational Science and Its Applications, 481-494, 2021 | 2 | 2021 |
| Development of a machine learning model and a user interface to detect illegal swimming pools C Coelho, M Costa, L Ferrás, A Soares SYMCOMP 2021 5th International Conference on Numerical and Symbolic …, 2021 | 2 | 2021 |
| Fractional Calculus Meets Neural Networks For Computer Vision: A Survey C Coelho, MFP Costa, LL Ferrás AI 5 (3), 1391-1426, 2024 | 1 | 2024 |
| An Adaptive Hydropower Management Approach for Downstream Ecosystem Preservation C Coelho, M Jing, MFP Costa, LL Ferrás arXiv preprint arXiv:2403.02821, 2024 | 1 | 2024 |
| The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities C Coelho, MFP Costa, LL Ferrás IFIP International Workshop on Artificial Intelligence for Knowledge …, 2023 | 1 | 2023 |
| Improving public parking by using artificial intelligence L Albuquerque, C Coelho, MFP Costa, LL Ferrás, AJ Soares AIP Conference Proceedings 2849 (1), 2023 | 1 | 2023 |
| The influence of the optimization algorithm in the solution of the fractional Laplacian equation by neural networks C Coelho, MFP Costa, LL Ferrás AIP Conference Proceedings 2849 (1), 2023 | 1 | 2023 |
| Optimal Control of a Coastal Ecosystem Through Neural Ordinary Differential Equations C Coelho, F Costa, L Ferrás 1st ECAI Workshop on “Machine Learning Meets Differential Equations: From …, 2024 | | 2024 |
| Neural Fractional Differential Equations: Optimising the Order of the Fractional Derivative C Coelho, MFP Costa, LL Ferrás Fractal and Fractional 8 (9), 529, 2024 | | 2024 |
| The role of adaptive activation functions in fractional physics-informed neural networks C Coelho, M Fernanda, P Costa, LL Ferrás AIP Conference Proceedings 3094 (1), 2024 | | 2024 |
| A Two-Stage Training Method for Modeling Constrained Systems With Neural Networks C Coelho, MFP Costa, LL Ferrás arXiv preprint arXiv:2403.02730, 2024 | | 2024 |
| Consistency Matters: Neural ODE Parameters are Dependent on the Training Numerical Method C Coelho, MFP Costa, LL Ferrás ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |
| Optimising Neural Fractional Differential Equations for Performance and Efficiency B Zimmering, C Coelho, O Niggemann Proceedings of Machine Learning Research 255 (1), 23, 2024 | | 2024 |
| A Filter-Based Neural ODE Approach for Modelling Natural Systems with Prior Knowledge Constraints C Coelho, MF P. Costa, LL Ferrás Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs C Coelho, MFP Costa, LL Ferrás arXiv preprint arXiv:2307.14940, 2023 | | 2023 |
