Recurrent Neural Networks for Multivariate Time Series with Missing Values

6 June 2016

Papers citing "Recurrent Neural Networks for Multivariate Time Series with Missing Values"

50 / 517 papers shown

Title
EMIT- Event-Based Masked Auto Encoding for Irregular Time Series Hrishikesh Patel Ruihong Qiu Adam Irwin Shazia Sadiq Sen Wang AI4TS 35 1 0 25 Sep 2024
Data-driven model discovery with Kolmogorov-Arnold networks Mohammadamin Moradi Shirin Panahi Erik M. Bollt Ying-Cheng Lai 31 2 0 23 Sep 2024
Automated Data Augmentation for Few-Shot Time Series Forecasting: A Reinforcement Learning Approach Guided by a Model Zoo Haochen Yuan Xuelin Li Yunbo Wang Yunbo Wang AI4TS 34 0 0 10 Sep 2024
Partial-Multivariate Model for Forecasting Jaehoon Lee Hankook Lee Sungik Choi Sungjun Cho Moontae Lee AI4TS 44 0 0 19 Aug 2024
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series Weijia Zhang Chenlong Yin Hao Liu Hui Xiong AI4TS 63 3 0 12 Aug 2024
An End-to-End Model for Time Series Classification In the Presence of Missing Values Pengshuai Yao Mengna Liu Xu Cheng Fan Shi Huan Li Xiufeng Liu Shengyong Chen AI4TS 40 0 0 11 Aug 2024
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation Jianping Zhou Junhao Li Guanjie Zheng Xinbing Wang Chenghu Zhou 40 2 0 11 Aug 2024
STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data Wei Zhang Weiming Zeng Hongyu Chen Jie Liu Hongjie Yan Kaile Zhang Ran Tao W. Siok Nizhuan Wang 21 1 0 31 Jul 2024
Deep State-Space Generative Model For Correlated Time-to-Event Predictions Yuan Xue Denny Zhou Nan Du Andrew M. Dai Zhen Xu Kun Zhang Claire Cui 33 7 0 28 Jul 2024
MSTF: Multiscale Transformer for Incomplete Trajectory Prediction Zhanwen Liu Chao Li Nan Yang Yang Wang Jiaqi Ma Guangliang Cheng Xiangmo Zhao 35 2 0 08 Jul 2024
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records Zekai Wang Tieming Liu B. Yao 39 0 0 30 Jun 2024
Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation Hui Wei Maxwell A. Xu Colin Samplawski James M. Rehg Santosh Kumar Benjamin M. Marlin 35 0 0 27 Jun 2024
Large Language Model as a Universal Clinical Multi-task Decoder Yujiang Wu Hongjian Song Jiawen Zhang Xumeng Wen Shun Zheng Jiang Bian 38 1 0 18 Jun 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis Haoxin Liu Shangqing Xu Zhiyuan Zhao Lingkai Kong Harshavardhan Kamarthi ... Megha Sharma Jiaming Cui Qingsong Wen Chao Zhang B. Aditya Prakash AI4TS 48 5 0 12 Jun 2024
Conditional Latent ODEs for Motion Prediction in Autonomous Driving Khang Truong Giang Yongjae Kim Andrea Finazzi BDL 32 1 0 29 May 2024
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning Chun-Kai Huang Yi-Hsien Hsieh Ta-Jung Chien Li-Cheng Chien Shao-Hua Sun T. Su J. Kao Che Lin AI4TS 45 0 0 26 May 2024
Exploring Nutritional Impact on Alzheimer's Mortality: An Explainable AI Approach Ziming Liu Longjian Liu Robert E Heidel Xiaopeng Zhao 19 0 0 26 May 2024
Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputation Linglong Qian Zina Ibrahim Wenjie Du Yiyuan Yang Richard J. B. Dobson Zina Ibrahim AI4TS 40 3 0 26 May 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation Shunyang Zhang Senzhang Wang Hao Miao Hao Chen Changjun Fan Jian Zhang 46 2 0 21 May 2024
Predicting Solar Heat Production to Optimize Renewable Energy Usage Tatiana Boura Natalia Koliou George Meramveliotakis S. Konstantopoulos G. Kosmadakis 21 1 0 16 May 2024
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction Zhihao Yu Xu Chu Yujie Jin Yasha Wang Junfeng Zhao 32 2 0 15 May 2024
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask Zineb Senane Lele Cao V. Buchner Yusuke Tashiro Lei You P. Herman Mats Nordahl Ruibo Tu Vilhelm von Ehrenheim DiffM AI4TS 22 10 0 09 May 2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models Muralikrishnan Gopalakrishnan Meena Demetri Liousas Andrew D. Simin Aditya Kashi Wesley Brewer James J. Riley S. D. B. Kops AI4TS AI4CE 49 1 0 24 Apr 2024
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning Kang Luo Yuanshao Zhu Wei Chen Kun Wang Zhengyang Zhou Sijie Ruan Keli Zhang 31 4 0 22 Apr 2024
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure Zhiyue Zhang Yao Zhao Yan Xu 19 0 0 04 Apr 2024
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation Baoyu Jing Dawei Zhou Kan Ren Carl Yang CML AI4TS 32 6 0 18 Mar 2024
An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applications Yousef AlShehri Lakshmish Ramaswamy 33 1 0 15 Mar 2024
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction Qing Xiao Siyeop Yoon Hui Ren Matthew Tivnan Lichao Sun Quanzheng Li Tianming Liu Yu Zhang Xiang Li DiffM 22 0 0 11 Mar 2024
Understanding Missingness in Time-series Electronic Health Records for Individualized Representation Ghadeer O. Ghosheh Jin Li Tingting Zhu AI4TS 34 0 0 24 Feb 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 43 12 0 22 Feb 2024
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review Daniel Schwabe Katinka Becker Martin Seyferth Andreas Klass Tobias Schäffter 34 20 0 21 Feb 2024
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations G. Felice Andrea Cini Daniele Zambon Vladimir V. Gusev Cesare Alippi 34 6 0 19 Feb 2024
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation Yakun Chen Kaize Shi Zhangkai Wu Juan Chen Xianzhi Wang Julian McAuley Guandong Xu Shui Yu DiffM 47 3 0 18 Feb 2024
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Yuqi Chen Kan Ren Yansen Wang Yuchen Fang Weiwei Sun Dongsheng Li AI4TS 68 28 0 16 Feb 2024
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling Ivan Marisca Cesare Alippi F. Bianchi AI4TS 40 8 0 16 Feb 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records Hojjat Karami David Atienza Anisoara Ionescu AI4TS 36 1 0 09 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 35 0 0 09 Feb 2024
Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang Wenjie Du Yiyuan Yang Linglong Qian Wei Cao Keli Zhang Wenjia Wang Yuxuan Liang Qingsong Wen AI4TS SyDa BDL 48 38 0 06 Feb 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion Xing Han Huy Nguyen Carl Harris Nhat Ho S. Saria MoE 77 16 0 05 Feb 2024
Review of multimodal machine learning approaches in healthcare "Felix H. Krones Umar Marikkar Guy Parsons Adam Szmul Adam Mahdi 40 27 0 04 Feb 2024
Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction Weibin Liao Yinghao Zhu Zixiang Wang Xu Chu Yasha Wang Liantao Ma Yasha Wang Liantao Ma 27 0 0 30 Jan 2024
Efficient Observation Time Window Segmentation for Administrative Data Machine Learning Musa Taib G. Messier OOD AI4TS 31 0 0 29 Jan 2024
Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset Hung Bui Harikrishna Warrier Yogesh Gupta 24 1 0 27 Jan 2024
Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data Mengna Liu Dong Xiang Xue Cheng Xiufeng Liu Dalin Zhang Shengyong Chen Christian S. Jensen 15 0 0 26 Jan 2024
Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series Zhihao Yu Xu Chu Liantao Ma Yasha Wang Wenwu Zhu AI4TS 39 2 0 14 Jan 2024
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records Ghadeer O. Ghosheh Jin Li Tingting Zhu 32 1 0 09 Jan 2024
Universal Time-Series Representation Learning: A Survey Patara Trirat Yooju Shin Junhyeok Kang Youngeun Nam Jihye Na Minyoung Bae Joeun Kim Byunghyun Kim Jae-Gil Lee AI4TS 75 15 0 08 Jan 2024
The Rise of Diffusion Models in Time-Series Forecasting Caspar Meijer Lydia Y. Chen DiffM AI4TS 32 8 0 05 Jan 2024
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation Linglong Qian Zina Ibrahim Richard J. B. Dobson BDL AI4TS 18 3 0 04 Jan 2024
Knowledge Enhanced Conditional Imputation for Healthcare Time-series Linglong Qian Zina Ibrahim Hugh Logan Ellis Ao Zhang Yuezhou Zhang Tao Wang Richard J. B. Dobson AI4TS 34 2 0 27 Dec 2023