activity
20082026
most citedCentral Limit Theorems for Wavelet Packet Decompositions of Stationary Random Processes

16 citations · 22 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Focus-to-Perceive Representation Learning: A Cognition-Inspired Hierarchical Framework for Endoscopic Video Analysis

Yuan Zhang, Sihao Dou, Kai Hu +4

Endoscopic video analysis is essential for early gastrointestinal screening but remains hindered by limited high-quality annotations. While self-supervised video pre-training shows…

stat.CO2026

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…

cs.LG2025

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.…

cs.LG2024★ 4 cited

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…

cs.CV2021

Channel-Based Attention for LCC Using Sentinel-2 Time Series

Hermann Courteille, A. Benoît, N Méger +2

Deep Neural Networks (DNNs) are getting increasing attention to deal with Land Cover Classification (LCC) relying on Satellite Image Time Series (SITS). Though high performances ca…

stat.AP2021★ 1 cited

Wavelet Spatio-Temporal Change Detection on multi-temporal PolSAR images

Rodney Fonseca, Aluísio Pinheiro, Abdourrahmane Atto

We introduce WECS (Wavelet Energies Correlation Sreening), an unsupervised sparse procedure to detect spatio-temporal change points on multi-temporal SAR (POLSAR) images or even on…