publicações selecionadas
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artigo académico
- Fractional Calculus Meets Neural Networks for Computer Vision: A Survey. AI. 2024
- Enhancing continuous time series modelling with a latent ODE-LSTM approach. Applied Mathematics and Computation. 2024
- Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach 2023
- Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data 2023
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artigo de conferência
- A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs 2023
- A Study on Adaptive Penalty Functions in Neural ODEs for Real Systems Modeling 2023
- Prior knowledge meets Neural ODEs: a two-stage training method for improved explainabilitty 2023
- The role of adaptive activation functions in Fractional Physics-Informed Neural Networks 2022
- Improving public parking by using artificial intelligence 2021
- Optimization of traffic lights using Supervised Learning 2021
- The Influence of the Optimization Algorithm in the Solution of the Fractional Laplacian Equation by Neural Networks 2021
- Development of a machine learning model and a user interface to detect illegal swimming pools 2021
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capítulo de livro
- The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities 2024
- A Filter-based Neural ODE Approach for Modelling Natural Systems with Prior Knowledge Constraints 2023
- Object Detection with RetinaNet on Aerial Imagery: The Algarve Landscape. Computational Methods in Applied Sciences. 2021
- Optimisation Approach for Parameter Estimation of the Generalised PTT Viscoelastic Model. Computational Methods in Applied Sciences. 2021
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documento
- Improving Neural ODEs Explainability: A Two-Stage Training Method for Modeling Constrained Natural Systems 2023
- A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs 2023
- Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach 2023
- Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data 2023
- Not All Roses: The Impact of Neural Networks for Hydropower Plant Management in Agriculture 2023
- Fractional Physics Informed Neural Networks with adaptive activation functions: a numerical study 2022
- Implementation of a Deep Learning model capable of detecting objects from satellite images 2021
- Neural Networks and Fractional Differential Equations 2021
- Parameter Estimation for Constitutive Differential Equations: An Optimization Approach 2021
- Damped Harmonic Oscillator Dataset
- A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs
- Code repository of the paper "The role of adaptive activation functions in Fractional Physics-Informed Neural Networks"
- Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach
- Fractional Calculus Meets Neural Networks For Computer Vision: A Survey
- Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data. ArXiv.
- Neural Fractional Differential Equations
- Neural Fractional Differential Equations: Optimising the Order of the Fractional Derivative
- Synthetic Chemical Reaction Dataset
- The Influence of Neural Networks on Hydropower Plant Management in Agriculture: Addressing Challenges and Exploring Untapped Opportunities
- World Population Growth Dataset