Summary of Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting, by Jinliang Deng et al.
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecastingby Jinliang Deng, Feiyang Ye,…
Summary of Integrating Statistical Significance and Discriminative Power in Pattern Discovery, by Leonardo Alexandre and Rafael S. Costa and Rui Henriques
Integrating Statistical Significance and Discriminative Power in Pattern Discoveryby Leonardo Alexandre, Rafael S. Costa, Rui…
Summary of Dacr: Distribution-augmented Contrastive Reconstruction For Time-series Anomaly Detection, by Lixu Wang et al.
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detectionby Lixu Wang, Shichao Xu, Xinyu Du, Qi…
Summary of Treemil: a Multi-instance Learning Framework For Time Series Anomaly Detection with Inexact Supervision, by Chen Liu et al.
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervisionby Chen Liu,…
Summary of Data Augmentation For Traffic Classification, by Chao Wang et al.
Data Augmentation for Traffic Classificationby Chao Wang, Alessandro Finamore, Pietro Michiardi, Massimo Gallo, Dario RossiFirst…
Summary of Clan: a Contrastive Learning Based Novelty Detection Framework For Human Activity Recognition, by Hyunju Kim and Dongman Lee
CLAN: A Contrastive Learning based Novelty Detection Framework for Human Activity Recognitionby Hyunju Kim, Dongman…
Summary of Melody: Robust Semi-supervised Hybrid Model For Entity-level Online Anomaly Detection with Multivariate Time Series, by Jingchao Ni et al.
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Seriesby Jingchao…
Summary of Patchad: a Lightweight Patch-based Mlp-mixer For Time Series Anomaly Detection, by Zhijie Zhong et al.
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detectionby Zhijie Zhong, Zhiwen Yu, Yiyuan…
Summary of Optimizing Medication Decisions For Patients with Atrial Fibrillation Through Path Development Network, by Tian Xie
Optimizing Medication Decisions for Patients with Atrial Fibrillation through Path Development Networkby Tian XieFirst submitted…
Summary of Spatial-temporal Large Language Model For Traffic Prediction, by Chenxi Liu et al.
Spatial-Temporal Large Language Model for Traffic Predictionby Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li,…