Deep Learning for Time-Series Analysis

7 January 2017

Papers citing "Deep Learning for Time-Series Analysis"

29 / 29 papers shown

Title
Long-Distance Field Demonstration of Imaging-Free Drone Identification in Intracity Environments Junran Guo Tonglin Mu Keyuan Li Jianing Li Ziyang Luo ... Minjie Liu Jinbei Zhang Ruoyang Qi Naiting Gu Shihai Sun 29 0 0 26 Apr 2025
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu AI4TS AI4CE 34 1 0 28 May 2023
Control of synaptic plasticity in neural networks M. Modiri 19 1 0 10 Mar 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series Max Schemmer Joshua Holstein Niklas Bauer Niklas Kühl G. Satzger 36 2 0 07 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 41 34 0 07 Feb 2023
Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework Jianlei Kong Xiaomeng Fan Xue-bo Jin Min Zuo 15 1 0 14 Dec 2022
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting Elena Orlova Haokun Liu Raphael Rossellini B. Cash Rebecca Willett 28 3 0 29 Nov 2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning Huiyuan Yang Han Yu Akane Sano AI4TS 27 5 0 13 Oct 2022
Retrieval Based Time Series Forecasting Baoyu Jing Si Zhang Yada Zhu B. Peng K. Guan A. Margenot Yangqiu Song AI4TS 42 10 0 27 Sep 2022
StyleTime: Style Transfer for Synthetic Time Series Generation Yousef El-Laham Svitlana Vyetrenko AI4TS 26 5 0 22 Sep 2022
Rapid training of quantum recurrent neural networks M. Siemaszko A. Buraczewski Bertrand Le Saux Magdalena Stobiñska 27 9 0 01 Jul 2022
Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones? Franco Pellegrini Giulio Biroli 51 6 0 27 Apr 2021
An Experimental Review on Deep Learning Architectures for Time Series Forecasting Pedro Lara-Benítez Manuel Carranza-García José Cristóbal Riquelme Santos AI4TS 27 305 0 22 Mar 2021
Broad-UNet: Multi-scale feature learning for nowcasting tasks Jesús García Fernández S. Mehrkanoon 27 66 0 12 Feb 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series Fan-Keng Sun C. Lang Duane S. Boning OOD AI4TS 35 28 0 28 Jan 2021
Challenges and approaches to time-series forecasting in data center telemetry: A Survey Shruti Jadon Jan Kanty Milczek Ajit Patnakar AI4TS 27 9 0 11 Jan 2021
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 43 35 0 01 Oct 2020
Pervasive Lying Posture Tracking Parastoo Alinia A. Samadani Mladen Milošević H. Ghasemzadeh S. Parvaneh 16 15 0 19 Jun 2020
Learned Factor Graphs for Inference from Stationary Time Sequences Nir Shlezinger Nariman Farsad Yonina C. Eldar Andrea J. Goldsmith 21 24 0 05 Jun 2020
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey Florenc Demrozi G. Pravadelli A. Bihorac Parisa Rashidi 22 233 0 19 Apr 2020
Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen Liang Sun Fan Yang Xiaomin Song Jing Gao Xue Wang Huan Xu AI4TS 32 635 0 27 Feb 2020
Should I Raise The Red Flag? A comprehensive survey of anomaly scoring methods toward mitigating false alarms Zahra Zohrevand U. Glässer AAML 15 11 0 14 Apr 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 41 1,479 0 10 Jan 2019
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework Shengdong Du Tianrui Li Yan Yang S. Horng AI4TS 24 311 0 12 Dec 2018
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 136 2,648 0 12 Sep 2018
Deep Learning with Convolutional Neural Network for Objective Skill Evaluation in Robot-assisted Surgery Ziheng Wang A. M. Fey 23 216 0 15 Jun 2018
Model identification for ARMA time series through convolutional neural networks Wai Hoh Tang A. Röllin 13 17 0 12 Apr 2018
Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification Yue Geng Xinyu Luo AI4TS 8 29 0 13 Jan 2018
Sequence Graph Transform (SGT): A Feature Embedding Function for Sequence Data Mining Chitta Ranjan Samaneh Ebrahimi K. Paynabar 23 26 0 11 Aug 2016