Image de couverture de livre

Preventing Data Leakage in EEG-Based Survival Prediction: A Two-Stage Embedding and Transformer Framework

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhou, Yixin, Liu, Zhixiang, Zadorozhny, Vladimir I., Elmer, Jonathan
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Methodology for Transparent Logic-Based Classification Using a Multi-Task Convolutional Tsetlin Machine
par: Shende, Mayur Kishor, et autres
Publié: (2025)

Two-Stage Data Synthesization: A Statistics-Driven Restricted Trade-off between Privacy and Prediction
par: Liu, Xiaotong, et autres
Publié: (2026)

A Targeted Learning Framework for Estimating Restricted Mean Survival Time Difference using Pseudo-observations
par: Jin, Man, et autres
Publié: (2026)

EEG-FuseFormer: A Transformer-Driven Feature Fusion Framework for Seizure Onset Prediction
par: Hariharan, Vigneshwar, et autres
Publié: (2026)

Decomposition-Based Modular Conformal Prediction for Two-Stage Modeling
par: Zhang, William, et autres
Publié: (2025)

Two-Stage Feature Generation with Transformer and Reinforcement Learning
par: Gao, Wanfu, et autres
Publié: (2025)

A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings
par: Chen, Chi-Sheng, et autres
Publié: (2026)

From Risk to Rescue: An Agentic Survival Analysis Framework for Liquidation Prevention
par: Spadea, Fernando, et autres
Publié: (2026)

A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
par: Gong, Chen, et autres
Publié: (2025)

Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields
par: Jin, Yixin, et autres
Publié: (2024)

Data-Driven Influence Functions for Optimization-Based Causal Inference
par: Jordan, Michael I., et autres
Publié: (2022)

Masked Clinical Modelling: A Framework for Synthetic and Augmented Survival Data Generation
par: Kuo, Nicholas I-Hsien, et autres
Publié: (2024)

BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
par: Zhou, Xinliang, et autres
Publié: (2024)

Multi-Channel Differential Transformer for Cross-Domain Sleep Stage Classification with Heterogeneous EEG and EOG
par: Chin, Benjamin Wei Hao, et autres
Publié: (2025)

3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
par: Kuang, Taojie, et autres
Publié: (2023)

Doubly Robust Conformalized Survival Analysis with Right-Censored Data
par: Sesia, Matteo, et autres
Publié: (2024)

Similarity-Quantized Relative Difference Learning for Improved Molecular Activity Prediction
par: Zadorozhny, Karina, et autres
Publié: (2025)

EEG-based Epileptic Prediction via a Two-stage Channel-aware Set Transformer Network
par: Zheng, Ruifeng, et autres
Publié: (2025)

Stepwise Fine and Gray: Subject-Specific Variable Selection Shows When Hemodynamic Data Improves Prognostication of Comatose Post-Cardiac Arrest Patients
par: Shen, Xiaobin, et autres
Publié: (2025)

Data Poisoning and Leakage Analysis in Federated Learning
par: Wei, Wenqi, et autres
Publié: (2024)

A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
par: Furlong, Aidan, et autres
Publié: (2025)

Enhanced Drug-drug Interaction Prediction Using Adaptive Knowledge Integration
par: Liu, Pengfei, et autres
Publié: (2026)

Motif Discovery Framework for Psychiatric EEG Data Classification
par: Kraljevska, Melanija, et autres
Publié: (2025)

HEEGNet: Hyperbolic Embeddings for EEG
par: Li, Shanglin, et autres
Publié: (2026)

From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction
par: Sun, Ziyu, et autres
Publié: (2024)

Information Leakage from Embedding in Large Language Models
par: Wan, Zhipeng, et autres
Publié: (2024)

Targeted Data Fusion for Region-Specific Survival Effects in the AMP HIV Prevention Trials
par: Liu, Yi, et autres
Publié: (2025)

Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
par: Seraphim, Mathieu, et autres
Publié: (2024)

EEG-Based Emergency Braking Intensity Prediction Using Blind Source Separation
par: Zhou, Zikun, et autres
Publié: (2026)

Zipf Distributions from Two-Stage Symbolic Processes: Stability Under Stochastic Lexical Filtering
par: Berman, Vladimir
Publié: (2025)

From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
par: Chen, Zheng-An, et autres
Publié: (2025)

Hierarchical Two-Stage Framework for Environment-Aware Long-Horizon Vessel Trajectory Prediction
par: Gnanavel, Ganeshaaraj, et autres
Publié: (2026)

TimingLLM: A Two-Stage Retrieval-Augmented Framework for Pre-Synthesis Timing Prediction from Verilog
par: Abdollahi, Armin, et autres
Publié: (2026)

A Unified Geometric Field Theory Framework for Transformers: From Manifold Embeddings to Kernel Modulation
par: Shi, Xianshuai, et autres
Publié: (2025)

A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset
par: Lee, Gyeong Taek, et autres
Publié: (2024)

FusionGen: Feature Fusion-Based Few-Shot EEG Data Generation
par: Chen, Yuheng, et autres
Publié: (2025)

NeuroLingua: A Language-Inspired Hierarchical Framework for Multimodal Sleep Stage Classification Using EEG and EOG
par: Samaee, Mahdi, et autres
Publié: (2025)

Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest
par: Schoeffer, Jakob, et autres
Publié: (2025)

Two-Stage Photovoltaic Forecasting: Separating Weather Prediction from Plant-Characteristics
par: Danner, Philipp, et autres
Publié: (2026)

Embedding-Space Data Augmentation to Prevent Membership Inference Attacks in Clinical Time Series Forecasting
par: Fracarolli, Marius, et autres
Publié: (2025)