:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Savoini, Benoît, Bertolaccini, Jonathan, Montavon, Stéphane, Deriaz, Michel
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2503.13578
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration
by: Zheng, Yijie, et al.
Published: (2024)

Improvement of Performance in Freezing of Gait detection in Parkinsons Disease using Transformer networks and a single waist worn triaxial accelerometer
by: Sigcha, Luis, et al.
Published: (2024)

Overcoming the Intrinsic Performance Limitations of MEMS IMU via Diffusion-Based Generative Learning
by: Lv, Jiarui, et al.
Published: (2026)

Thermal transmittance prediction based on the application of artificial neural networks on heat flux method results
by: Gumbarević, Sanjin, et al.
Published: (2021)

Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart Infrastructure
by: Chatterjee, Soumyajit, et al.
Published: (2021)

Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network
by: Phoemsuk, Atitaya, et al.
Published: (2024)

Finding One's Bearings in the Hyperparameter Landscape of a Wide-Kernel Convolutional Fault Detector
by: Hudson, Dan, et al.
Published: (2024)

TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
by: Li, Zhongzhi, et al.
Published: (2024)

ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation
by: Hou, Dongbin, et al.
Published: (2023)

ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing
by: Tew, Hwa Hui, et al.
Published: (2025)

SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder
by: Pollastro, Andrea, et al.
Published: (2024)

rECGnition_v1.0: Arrhythmia detection using cardiologist-inspired multi-modal architecture incorporating demographic attributes in ECG
by: Srivastava, Shreya, et al.
Published: (2024)

Leveraging Convolutional Sparse Autoencoders for Robust Movement Classification from Low-Density sEMG
by: Hristov, Blagoj, et al.
Published: (2026)

The OPS-SAT benchmark for detecting anomalies in satellite telemetry
by: Ruszczak, Bogdan, et al.
Published: (2024)

Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection
by: Xia, Xiuxin, et al.
Published: (2024)

Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models
by: Apostol, Andrei, et al.
Published: (2025)

Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks
by: Zhu, Yidong, et al.
Published: (2023)

DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Network
by: Shang, Meng, et al.
Published: (2024)

Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
by: Hwaidi, Jamal, et al.
Published: (2025)

Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data
by: Sim, Sunghyun, et al.
Published: (2022)

Towards transparent and data-driven fault detection in manufacturing: A case study on univariate, discrete time series
by: Hofmann, Bernd, et al.
Published: (2025)

A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition
by: Kamboj, Abhi, et al.
Published: (2024)

IncepFormerNet: A multi-scale multi-head attention network for SSVEP classification
by: Huang, Yan, et al.
Published: (2025)

A Fairness-Aware Strategy for B5G Physical-layer Security Leveraging Reconfigurable Intelligent Surfaces
by: Pierron, Alex, et al.
Published: (2025)

To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless Networks
by: Raina, Rashika, et al.
Published: (2025)

Towards Generalizable Learning Models for EEG-Based Identification of Pain Perception
by: Rezzouk, Mathis, et al.
Published: (2025)

SCVCNet: Sliding cross-vector convolution network for cross-task and inter-individual-set EEG-based cognitive workload recognition
by: Wang, Qi, et al.
Published: (2023)

Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
by: Corponi, Filippo, et al.
Published: (2023)

Review of algorithms for predicting fatigue using EEG
by: Rakhmatulin, Ildar
Published: (2024)

Introducing an ensemble method for the early detection of Alzheimer's disease through the analysis of PET scan images
by: Borji, Arezoo, et al.
Published: (2024)

Bearing Fault Diagnosis using Graph Sampling and Aggregation Network
by: Chen, Jiaying, et al.
Published: (2024)

Machine Learning Assisted Postural Movement Recognition using Photoplethysmography(PPG)
by: Maccay, Robbie, et al.
Published: (2024)

Synthetic EEG Generation using Diffusion Models for Motor Imagery Tasks
by: Alexandre, Henrique de Lima, et al.
Published: (2025)

DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
by: Li, Xiaolin, et al.
Published: (2025)

Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism
by: Mirzaeibonehkhater, Marzieh, et al.
Published: (2024)

FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
by: Shi, Enze, et al.
Published: (2024)

Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis
by: Chandanwala, Ali Asgar, et al.
Published: (2024)

Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms
by: Jamal, Saad Ahmed
Published: (2023)

Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data
by: Kamoona, Ammar Mansoor, et al.
Published: (2024)

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering
by: Schneider, Dominic, et al.
Published: (2024)