Deep learning for time series classification: a review

12 September 2018

Germain Forestier

Papers citing "Deep learning for time series classification: a review"

50 / 560 papers shown

Title
Towards Generalisable Time Series Understanding Across Domains Özgün Turgut Philip Muller M. Menten Daniel Rueckert AI4TS 18 1 0 09 Oct 2024
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification Xavier Mootoo Alan A. Díaz-Montiel Milad Lankarany Hina Tabassum AI4TS 25 0 0 08 Oct 2024
Hawk: An Efficient NALM System for Accurate Low-Power Appliance Recognition Zijian Wang Xingzhou Zhang Yifan Wang Xiaohui Peng Zhiwei Xu 17 0 0 06 Oct 2024
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification Jiseok Lee Brian Kenji Iwana AI4TS 16 0 0 30 Sep 2024
Classification and regression of trajectories rendered as images via 2D Convolutional Neural Networks Mariaclaudia Nicolai Raffaella Fiamma Cabini Diego Ulisse Pizzagalli 9 0 0 27 Sep 2024
Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series Kohei Obata Koki Kawabata Yasuko Matsubara Yasushi Sakurai AI4TS 18 1 0 16 Sep 2024
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification Jesus Barreda Ashley Gomez Ruben Puga Kaixiong Zhou Li Zhang AI4TS 14 0 0 15 Sep 2024
Deep Learning for predicting rate-induced tipping Yu Huang S. Bathiany Peter Ashwin Niklas Boers 13 0 0 11 Sep 2024
A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoring Oshana Dissanayake Lucile Riaboff Sarah McPherson Emer Kennedy Pádraig Cunningham 22 0 0 23 Aug 2024
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification Ziwen Kan Shahbaz Rezaei Xin Liu BDL AI4TS 14 0 0 22 Aug 2024
Interactive Counterfactual Generation for Univariate Time Series U. Schlegel Julius Rauscher Daniel A. Keim AI4TS 23 0 0 20 Aug 2024
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining Audrey Der Chin-Chia Michael Yeh Xin Dai Huiyuan Chen Yan Zheng ... Vivian Lai Junpeng Wang Liang Wang Wei Zhang Eamonn J. Keogh AI4TS 30 1 0 15 Aug 2024
AI-driven Java Performance Testing: Balancing Result Quality with Testing Time Luca Traini Federico Di Menna Vittorio Cortellessa 15 0 0 09 Aug 2024
An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting Rui Cao Qiao Wang 22 1 0 09 Aug 2024
A Cross-Domain Benchmark for Active Learning M. M. Kholoosi M. A. Babar Maximilian Stubbemann Lars Schmidt-Thieme 16 1 0 01 Aug 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen Tianyu Cao Ninon De Mecquenem Jiahe Li Zhilong Chen F. Friederici Yang Yang 30 1 0 31 Jul 2024
Revisiting the robustness of post-hoc interpretability methods Jiawen Wei Hugues Turbé G. Mengaldo AAML 24 3 0 29 Jul 2024
ERM-Lasso classification algorithm for Multivariate Hawkes Processes paths Charlotte Dion‐Blanc Christophe Denis Laure Sansonnet Romain E Lacoste 31 1 0 16 Jul 2024
LETS-C: Leveraging Language Embedding for Time Series Classification Rachneet Kaur Zhen Zeng T. Balch Manuela Veloso AI4TS 20 0 0 09 Jul 2024
Limits and Powers of Koopman Learning Matthew J. Colbrook Igor Mezić Alexei Stepanenko 14 10 0 08 Jul 2024
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities Julie Mordacq Léo Milecki Maria Vakalopoulou Steve Oudot Vicky Kalogeiton OffRL MedIm 20 1 0 04 Jul 2024
aeon: a Python toolkit for learning from time series Matthew Middlehurst Ali Ismail-Fawaz Antoine Guillaume Christopher Holder David Guijo Rubio ... Leonidas Tsaprounis Lukasz Mentel Martin Walter Patrick Schäfer Anthony Bagnall AI4TS 29 15 0 20 Jun 2024
Data Augmentation for Multivariate Time Series Classification: An Experimental Study Romain Ilbert Thai V. Hoang Zonghua Zhang 22 0 0 10 Jun 2024
Denoising-Aware Contrastive Learning for Noisy Time Series Shuang Zhou Daochen Zha Xiao Shen Xiao Shi Huang Rui Zhang Fu-Lai Chung AI4TS 19 0 0 07 Jun 2024
Statistical Multicriteria Benchmarking via the GSD-Front Christoph Jansen G. Schollmeyer Julian Rodemann Hannah Blocher Thomas Augustin 28 3 0 06 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification Md. Atik Ahamed Qiang Cheng Mamba 42 1 0 06 Jun 2024
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification Xuan-May Le Ling Luo Uwe Aickelin Minh-Tuan Tran 11 7 0 23 May 2024
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers Xin Cheng Xiuying Chen Shuqi Li Di Luo Xun Wang Dongyan Zhao Rui Yan AI4TS 36 1 0 22 May 2024
UniCL: A Universal Contrastive Learning Framework for Large Time Series Models Jiawei Li Jingshu Peng Haoyang Li Lei Chen AI4TS 33 3 0 17 May 2024
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data Camelia Oprea Mike Grüne Mateusz Buglowski Lena Olivier Thorsten Orlikowsky Stefan Kowalewski M. Schoberer André Stollenwerk AI4TS 13 0 0 13 May 2024
Persistent homology of featured time series data and its applications Eunwoo Heo Jae-Hun Jung 25 0 0 08 May 2024
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting Alireza Koochali Ensiye Tahaei Andreas Dengel Sheraz Ahmed AI4TS 22 1 0 07 May 2024
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning Xiwen Chen Peijie Qiu Wenhui Zhu Huayu Li Hao Wang Aristeidis Sotiras Yalin Wang Abolfazl Razi AI4TS 21 6 0 06 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model Jiexia Ye Weiqi Zhang Ke Yi Yongzi Yu Ziyue Li Jia Li Fugee Tsung AI4TS AI4CE 28 4 0 03 May 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 24 2 0 01 May 2024
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration Haoxiao Wang Bo Peng Jianhua Zhang Xu Cheng AI4TS 26 1 0 28 Apr 2024
Application of Long-Short Term Memory and Convolutional Neural Networks for Real-Time Bridge Scour Prediction Tahrima Hashem N. Yousefpour 19 1 0 25 Apr 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series Zahra Zamanzadeh Darban Yiyuan Yang Geoffrey I. Webb Charu C. Aggarwal Qingsong Wen Mahsa Salehi 34 0 0 17 Apr 2024
Integrating Physiological Data with Large Language Models for Empathic Human-AI Interaction Poorvesh Dongre Majid Behravan Kunal Gupta Mark Billinghurst Denis Gračanin AI4MH LM&MA 16 0 0 14 Apr 2024
Minimum variance threshold for epsilon-lexicase selection Guilherme Seidyo Imai Aldeia F. O. D. França William La Cava 19 0 0 08 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 16 18 0 30 Mar 2024
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data Muhammad Sakib Khan Inan Kewen Liao Haifeng Shen Prem Prakash Jayaraman Dimitrios Georgakopoulos Ming Jian Tang 19 0 0 29 Mar 2024
Grey-informed neural network for time-series forecasting Wanli Xie Ruibin Zhao Zhenguo Xu Tingting Liang AI4TS 16 0 0 22 Mar 2024
Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model Mingyue Cheng Xiaoyu Tao Qi Liu Hao Zhang Yiheng Chen Chenyi Lei AI4TS 25 2 0 19 Mar 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings Jihyeon Seong Jungmin Kim Jaesik Choi AI4TS 16 0 0 14 Mar 2024
Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification Yuxing Han Yunan Ding Chen Ye Gan Jiangtao Wen 17 0 0 13 Mar 2024
Supervised Time Series Classification for Anomaly Detection in Subsea Engineering Ergys Çokaj Halvor S. Gustad Andrea Leone Per Thomas Moe Lasse Moldestad 19 0 0 12 Mar 2024
A Performance Analysis of Basin Hopping Compared to Established Metaheuristics for Global Optimization M. Baioletti V. Santucci Marco Tomassini 17 0 0 09 Mar 2024
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition Aosong Feng Jialin Chen Juan Garza Brooklyn Berry Francisco Salazar Yifeng Gao Rex Ying Leandros Tassiulas 20 1 0 07 Mar 2024
CARTE: Pretraining and Transfer for Tabular Learning Myung Jun Kim Léo Grinsztajn Gaël Varoquaux LMTD 36 13 0 26 Feb 2024