Imagen de Portada

EpiGraph: Building Generalists for Evidence-Intensive Epilepsy Reasoning in the Wild

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Dai, Yuyang, Chen, Zheng, Pradeepkumar, Jathurshan, Matsubara, Yasuko, Sun, Jimeng, Sakurai, Yasushi, Dong, Yushun
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Neural Signals Generate Clinical Notes in the Wild
por: Pradeepkumar, Jathurshan, et al.
Publicado: (2026)

ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks
por: Jia, Haohui, et al.
Publicado: (2026)

ExPath: Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
por: Kotoge, Rikuto, et al.
Publicado: (2025)

Long-Term EEG Partitioning for Seizure Onset Detection
por: Chen, Zheng, et al.
Publicado: (2024)

Tokenizing Single-Channel EEG with Time-Frequency Motif Learning
por: Pradeepkumar, Jathurshan, et al.
Publicado: (2025)

Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts
por: Lee, Gabriel Jason, et al.
Publicado: (2026)

BernGraph: Probabilistic Graph Neural Networks for EHR-based Medication Recommendations
por: Piao, Xihao, et al.
Publicado: (2024)

TIFO: Time-Invariant Frequency Operator for Stationarity-Aware Representation Learning in Time Series
por: Piao, Xihao, et al.
Publicado: (2026)

Automatically Labeling Clinical Trial Outcomes: A Large-Scale Benchmark for Drug Development
por: Gao, Chufan, et al.
Publicado: (2024)

Prostate-VarBench: A Benchmark with Interpretable TabNet Framework for Prostate Cancer Variant Classification
por: Tavara, Abraham Francisco Arellano, et al.
Publicado: (2025)

FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting
por: Piao, Xihao, et al.
Publicado: (2024)

Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series
por: Fujiwara, Ren, et al.
Publicado: (2026)

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
por: Yang, Ziwei, et al.
Publicado: (2024)

RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs
por: Jia, Haohui, et al.
Publicado: (2026)

Making Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification
por: Chatterjee, Arjun, et al.
Publicado: (2026)

Fredformer: Frequency Debiased Transformer for Time Series Forecasting
por: Piao, Xihao, et al.
Publicado: (2024)

Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams
por: Nakamura, Kota, et al.
Publicado: (2026)

Dynamic Multi-Network Mining of Tensor Time Series
por: Obata, Kohei, et al.
Publicado: (2024)

Developing Large Language Models for Clinical Research Using One Million Clinical Trials
por: Wang, Zifeng, et al.
Publicado: (2025)

EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
por: Kotoge, Rikuto, et al.
Publicado: (2025)

CyberCScope: Mining Skewed Tensor Streams and Online Anomaly Detection in Cybersecurity Systems
por: Nakamura, Kota, et al.
Publicado: (2025)

When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency
por: Fujiwara, Ren, et al.
Publicado: (2026)

Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomalies
por: Obata, Kohei, et al.
Publicado: (2025)

Modeling Latent Non-Linear Dynamical System over Time Series
por: Fujiwara, Ren, et al.
Publicado: (2024)

SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning
por: Kotoge, Rikuto, et al.
Publicado: (2024)

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It?
por: Zhao, Kaixiang, et al.
Publicado: (2026)

Selective Denoising Diffusion Model for Time Series Anomaly Detection
por: Obata, Kohei, et al.
Publicado: (2026)

Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning
por: Obata, Kohei, et al.
Publicado: (2026)

LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis
por: Li, Lincan, et al.
Publicado: (2026)

Modeling Time-evolving Causality over Data Streams
por: Chihara, Naoki, et al.
Publicado: (2025)

Linguistic Landscape of Generative AI Perception: A Global Twitter Analysis Across 14 Languages
por: Murayama, Taichi, et al.
Publicado: (2024)

Interpretable Dynamic Network Modeling of Tensor Time Series via Kronecker Time-Varying Graphical Lasso
por: Higashiguchi, Shingo, et al.
Publicado: (2026)

Multi-Aspect Mining and Anomaly Detection for Heterogeneous Tensor Streams
por: Kakio, Soshi, et al.
Publicado: (2026)

Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series
por: Obata, Kohei, et al.
Publicado: (2024)

MLOmics: Cancer Multi-Omics Database for Machine Learning
por: Yang, Ziwei, et al.
Publicado: (2024)

How Well Do Multimodal Models Reason on ECG Signals?
por: Xu, Maxwell A., et al.
Publicado: (2026)

Does Your Wildfire Prediction Model Actually Work, or Just Score Well?
por: Xu, Yangshuang, et al.
Publicado: (2026)

Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
por: Chihara, Naoki, et al.
Publicado: (2026)

D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data Streams
por: Higashiguchi, Shingo, et al.
Publicado: (2025)

DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research
por: Wang, Zifeng, et al.
Publicado: (2025)