conftrace_

medical time series

11 papers

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Also known as

MEDTS

Co-occurring keywords · papers mentioning both

self-supervised learning (3) multimodal learning (2) contrastive learning (2) multi-granularity patching (1) treatment effect estimation (1) multimodal representation (1) clinical note (1) irregular time series (1) irregular sampling (1) causal graph (1)

Papers

MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification AAAI 2026 Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning AAAI 2025 MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning IJCAI 2025 ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series ACL 2025 Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NeurIPS 2024 Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification NeurIPS 2024 Causal Recurrent Variational Autoencoder for Medical Time Series Generation AAAI 2023 Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series NeurIPS 2023 Clairvoyance: A Pipeline Toolkit for Medical Time Series ICLR 2021 Neighborhood Contrastive Learning Applied to Online Patient Monitoring ICML 2021 Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes AISTATS 2020