Image de couverture de livre

The Maximal Overlap Discrete Wavelet Scattering Transform and Its Application in Classification Tasks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Larrubia, Leonardo Fonseca, Morettin, Pedro Alberto, Chiann, Chang
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Signal Processing Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Masked Transformer for Electrocardiogram Classification
par: Zhou, Ya, et autres
Publié: (2023)

Electrocardiogram Classification with Transformers Using Koopman and Wavelet Features
par: Ghosh, Sucheta, et autres
Publié: (2026)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
par: Zhang, Kexin, et autres
Publié: (2023)

An Accurate and Interpretable Framework for Trustworthy Process Monitoring
par: Wang, Hao, et autres
Publié: (2023)

WISE: full-Waveform variational Inference via Subsurface Extensions
par: Yin, Ziyi, et autres
Publié: (2023)

Wavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning
par: Luo, Yifu, et autres
Publié: (2025)

Detecting Stochasticity in Discrete Signals via Nonparametric Excursion Theorem
par: Tanweer, Sunia, et autres
Publié: (2026)

Generative Probabilistic Time Series Forecasting and Applications in Grid Operations
par: Wang, Xinyi, et autres
Publié: (2024)

Topological Feature Search Method for Multichannel EEG: Application in ADHD classification
par: Cai, Tianming, et autres
Publié: (2024)

Compact Neural Network Algorithm for Electrocardiogram Classification
par: Frausto-Avila, Mateo, et autres
Publié: (2024)

Wav-KAN: Wavelet Kolmogorov-Arnold Networks
par: Bozorgasl, Zavareh, et autres
Publié: (2024)

Random Wavelet Features for Graph Kernel Machines
par: de Bassompierre, Valentin, et autres
Publié: (2026)

Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement
par: Wang, Yifeng, et autres
Publié: (2023)

What If They Took the Shot? A Hierarchical Bayesian Framework for Counterfactual Expected Goals
par: Mahmudlu, Mikayil, et autres
Publié: (2025)

Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties
par: Aziz, Ishfaq, et autres
Publié: (2023)

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
par: Wang, Yihe, et autres
Publié: (2024)

CardioPatternFormer: Pattern-Guided Attention for Interpretable ECG Classification with Transformer Architecture
par: Uğraş, Berat Kutay, et autres
Publié: (2025)

DB2-TransF: All You Need Is Learnable Daubechies Wavelets for Time Series Forecasting
par: Gupta, Moulik, et autres
Publié: (2025)

Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models
par: Apostol, Andrei, et autres
Publié: (2025)

Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
par: Hwaidi, Jamal, et autres
Publié: (2025)

Agile gesture recognition for low-power applications: customisation for generalisation
par: Liu, Ying, et autres
Publié: (2024)

Gaussian Process Regression for Active Sensing Probabilistic Structural Health Monitoring: Experimental Assessment Across Multiple Damage and Loading Scenarios
par: Amer, Ahmad, et autres
Publié: (2021)

CardioLab: Laboratory Values Estimation from Electrocardiogram Features - An Exploratory Study
par: Alcaraz, Juan Miguel Lopez, et autres
Publié: (2024)

Hybrid Pipeline SWD Detection in Long-Term EEG Signals
par: Rincon, Antonio Quintero, et autres
Publié: (2025)

Generalized Nonnegative Structured Kruskal Tensor Regression
par: Wang, Xinjue, et autres
Publié: (2025)

Analysis of Learning-based Offshore Wind Power Prediction Models with Various Feature Combinations
par: Fang, Linhan, et autres
Publié: (2025)

Identification of head impact locations, speeds, and force based on head kinematics
par: Zhan, Xianghao, et autres
Publié: (2024)

Visually Evaluating Generative Adversarial Networks Using Itself under Multivariate Time Series
par: Pan, Qilong
Publié: (2022)

Meal-taking activity monitoring in the elderly based on sensor data: Comparison of unsupervised classification methods
par: Derouiche, Abderrahim, et autres
Publié: (2024)

POMDP-Driven Cognitive Massive MIMO Radar: Joint Target Detection-Tracking In Unknown Disturbances
par: Bouhou, Imad, et autres
Publié: (2024)

Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes
par: Su, Yuqi, et autres
Publié: (2024)

Convergence Rate Maximization for Split Learning-based Control of EMG Prosthetic Devices
par: Marinova, Matea, et autres
Publié: (2024)

Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks
par: Zhang, Aoran, et autres
Publié: (2026)

A nonstationary seasonal Dynamic Factor Model: an application to temperature time series from the state of Minas Gerais
par: Chaves, Davi Oliveira, et autres
Publié: (2025)

Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics
par: Subramanian, Vaishnavi, et autres
Publié: (2021)

Improvement of Performance in Freezing of Gait detection in Parkinsons Disease using Transformer networks and a single waist worn triaxial accelerometer
par: Sigcha, Luis, et autres
Publié: (2024)

Low-Complexity CNN-Based Classification of Electroneurographic Signals
par: Gokdag, Arek Berc, et autres
Publié: (2025)

Calibration of Deep Learning Classification Models in fNIRS
par: Cao, Zhihao, et autres
Publié: (2024)

Can Transformers Predict Vibrations?
par: Kuniyoshi, Fusataka, et autres
Publié: (2024)

Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments with Distributed Sensors
par: Masrur, Saad, et autres
Publié: (2025)