Saved in:
| Main Authors: | Aquilué-Llorens, David, Soria-Frisch, Aureli |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.08686 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
by: Maiwald, Aaron, et al.
Published: (2023)
by: Maiwald, Aaron, et al.
Published: (2023)
Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
by: Üstek, İrem, et al.
Published: (2024)
by: Üstek, İrem, et al.
Published: (2024)
TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection
by: Del Pup, Federico, et al.
Published: (2025)
by: Del Pup, Federico, et al.
Published: (2025)
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
by: Wei, Xinxu, et al.
Published: (2024)
by: Wei, Xinxu, et al.
Published: (2024)
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
by: Chen, Xiaoqing, et al.
Published: (2022)
by: Chen, Xiaoqing, et al.
Published: (2022)
ZUNA: Flexible EEG Superresolution with Position-Aware Diffusion Autoencoders
by: Warner, Christopher, et al.
Published: (2026)
by: Warner, Christopher, et al.
Published: (2026)
Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity
by: Pudasaini, Shushanta, et al.
Published: (2024)
by: Pudasaini, Shushanta, et al.
Published: (2024)
Anomaly Correction of Business Processes Using Transformer Autoencoder
by: Gong, Ziyou, et al.
Published: (2024)
by: Gong, Ziyou, et al.
Published: (2024)
Autoencoders for Anomaly Detection are Unreliable
by: Bouman, Roel, et al.
Published: (2025)
by: Bouman, Roel, et al.
Published: (2025)
The Deep-Match Framework for Event-Related Potential Detection in EEG
by: Zylinski, Marek, et al.
Published: (2026)
by: Zylinski, Marek, et al.
Published: (2026)
ArtifactLens: Hundreds of Labels Are Enough for Artifact Detection with VLMs
by: Burgess, James, et al.
Published: (2026)
by: Burgess, James, et al.
Published: (2026)
Are Sparse Autoencoder Benchmarks Reliable?
by: Chanin, David
Published: (2026)
by: Chanin, David
Published: (2026)
Sparse Autoencoders, Again?
by: Lu, Yin, et al.
Published: (2025)
by: Lu, Yin, et al.
Published: (2025)
Real-time Noise Detection and Classification in Single-Channel EEG: A Lightweight Machine Learning Approach for EMG, White Noise, and EOG Artifacts
by: Enshaei, Hossein, et al.
Published: (2025)
by: Enshaei, Hossein, et al.
Published: (2025)
Autoencoding Random Forests
by: Vu, Binh Duc, et al.
Published: (2025)
by: Vu, Binh Duc, et al.
Published: (2025)
An Introductory Survey to Autoencoder-based Deep Clustering -- Sandboxes for Combining Clustering with Deep Learning
by: Leiber, Collin, et al.
Published: (2025)
by: Leiber, Collin, et al.
Published: (2025)
Detecting Generative Parroting through Overfitting Masked Autoencoders
by: Taghanaki, Saeid Asgari, et al.
Published: (2024)
by: Taghanaki, Saeid Asgari, et al.
Published: (2024)
Data Whitening Improves Sparse Autoencoder Learning
by: Saraswatula, Ashwin, et al.
Published: (2025)
by: Saraswatula, Ashwin, et al.
Published: (2025)
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
by: Wang, Shouju, et al.
Published: (2025)
by: Wang, Shouju, et al.
Published: (2025)
Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis
by: Chandanwala, Ali Asgar, et al.
Published: (2024)
by: Chandanwala, Ali Asgar, et al.
Published: (2024)
Hybrid Autoencoder-Based Framework for Early Fault Detection in Wind Turbines
by: Nair, Rekha R, et al.
Published: (2025)
by: Nair, Rekha R, et al.
Published: (2025)
Variational Autoencoders for P-wave Detection on Strong Motion Earthquake Spectrograms
by: Ispak, Turkan Simge, et al.
Published: (2026)
by: Ispak, Turkan Simge, et al.
Published: (2026)
Multi-scale Masked Autoencoder for Electrocardiogram Anomaly Detection
by: Zhou, Ya, et al.
Published: (2025)
by: Zhou, Ya, et al.
Published: (2025)
PruneGCRN: Minimizing and explaining spatio-temporal problems through node pruning
by: García-Sigüenza, Javier, et al.
Published: (2025)
by: García-Sigüenza, Javier, et al.
Published: (2025)
Subliminal Learning is a LoRA Artifact
by: Nief, Todd, et al.
Published: (2026)
by: Nief, Todd, et al.
Published: (2026)
Accuracy-Constrained CNN Pruning for Efficient and Reliable EEG-Based Seizure Detection
by: K, Mounvik, et al.
Published: (2025)
by: K, Mounvik, et al.
Published: (2025)
GEPD:GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's Disease
by: Zhang, Qian, et al.
Published: (2025)
by: Zhang, Qian, et al.
Published: (2025)
Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
by: Chen, Xiaojing, et al.
Published: (2026)
by: Chen, Xiaojing, et al.
Published: (2026)
Drift-Aware Variational Autoencoder-based Anomaly Detection with Two-level Ensembling
by: Li, Jin, et al.
Published: (2026)
by: Li, Jin, et al.
Published: (2026)
A Real-time Anomaly Detection Using Convolutional Autoencoder with Dynamic Threshold
by: Maitra, Sarit, et al.
Published: (2024)
by: Maitra, Sarit, et al.
Published: (2024)
EEG-Bench: A Benchmark for EEG Foundation Models in Clinical Applications
by: Kastrati, Ard, et al.
Published: (2025)
by: Kastrati, Ard, et al.
Published: (2025)
Product-Aware Deep Autoencoders for Robust Process Monitoring in Multi-Product Cyber-Physical Systems
by: Islam, MD Shafikul, et al.
Published: (2026)
by: Islam, MD Shafikul, et al.
Published: (2026)
SynthSAEBench: Evaluating Sparse Autoencoders on Scalable Realistic Synthetic Data
by: Chanin, David, et al.
Published: (2026)
by: Chanin, David, et al.
Published: (2026)
Enabling Unsupervised Training of Deep EEG Denoisers With Intelligent Partitioning
by: Rao, Qiyu, et al.
Published: (2026)
by: Rao, Qiyu, et al.
Published: (2026)
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction
by: Georgis-Yap, Zakary, et al.
Published: (2023)
by: Georgis-Yap, Zakary, et al.
Published: (2023)
MCLPD:Multi-view Contrastive Learning for EEG-based PD Detection Across Datasets
by: Zhang, Qian, et al.
Published: (2025)
by: Zhang, Qian, et al.
Published: (2025)
Large EEG-U-Transformer for Time-Step Level Detection Without Pre-Training
by: Wu, Kerui, et al.
Published: (2025)
by: Wu, Kerui, et al.
Published: (2025)
Bidirectional Variational Autoencoders
by: Kosko, Bart, et al.
Published: (2025)
by: Kosko, Bart, et al.
Published: (2025)
HistoART: Histopathology Artifact Detection and Reporting Tool
by: Kahaki, Seyed, et al.
Published: (2025)
by: Kahaki, Seyed, et al.
Published: (2025)
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning
by: Darvishi-Bayazi, Mohammad-Javad, et al.
Published: (2023)
by: Darvishi-Bayazi, Mohammad-Javad, et al.
Published: (2023)
Similar Items
-
Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
by: Maiwald, Aaron, et al.
Published: (2023) -
Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
by: Üstek, İrem, et al.
Published: (2024) -
TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection
by: Del Pup, Federico, et al.
Published: (2025) -
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
by: Wei, Xinxu, et al.
Published: (2024) -
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
by: Chen, Xiaoqing, et al.
Published: (2022)