4 papers
Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations
Matteo Salis, Gabriele Sartor, Rosa Meo +2
Groundwater represents a key element of the water cycle, yet it exhibits intricate and context-dependent relationships that make its modeling a challenging task. Theory-based model…
Smooth SCAD: A Raised Cosine SCAD Type Thresholding Rule for Wavelet Denoising
Radhika Kulkarni, Aluisio Pinheiro, Brani Vidakovic +1
We introduce a smooth variant of the SCAD thresholding rule for wavelet denoising by replacing its piecewise linear transition with a raised cosine. The resulting shrinkage functio…
Time Distributed Deep Learning Models for Purely Exogenous Forecasting: Application to Water Table Depth Prediction using Weather Image Time Series
Matteo Salis, Abdourrahmane M. Atto, Stefano Ferraris +1
Groundwater resources are one of the most relevant elements in the water cycle, therefore developing models to accurately predict them is a pivotal task in the sustainable resource…
Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning
Abdourrahmane Mahamane Atto
The paper proposes a 4-step process for highlighting that softlog-softmax cascades can improve both consistency and dependability of the next generation ensemble learning systems.…