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Deep Learning for Time-Series Analysis

Deep Learning for Time-Series Analysis

7 January 2017
J. Gamboa
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Deep Learning for Time-Series Analysis"

50 / 78 papers shown
Title
Proactive Statistical Process Control Using AI: A Time Series Forecasting Approach for Semiconductor Manufacturing
Proactive Statistical Process Control Using AI: A Time Series Forecasting Approach for Semiconductor Manufacturing
Mohammad Iqbal Rasul Seeam
Victor S. Sheng
AI4TS
48
0
0
19 Sep 2025
Large Language models for Time Series Analysis: Techniques, Applications, and Challenges
Large Language models for Time Series Analysis: Techniques, Applications, and Challenges
Feifei Shi
Xueyan Yin
Kang Wang
Wanyu Tu
Qifu Sun
Huansheng Ning
AI4TS
166
0
0
21 May 2025
Long-Distance Field Demonstration of Imaging-Free Drone Identification in Intracity Environments
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
172
0
0
26 Apr 2025
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets
Lulu Ban
Tao Zhu
Xiangqing Lu
Qi Qiu
Wenyong Han
Shuangjian Li
L. Chen
Kevin I-Kai Wang
Mingxing Nie
Yaping Wan
341
2
0
16 Mar 2025
Deep-Bench: Deep Learning Benchmark Dataset for Code Generation
Deep-Bench: Deep Learning Benchmark Dataset for Code Generation
Alireza Daghighfarsoodeh
Chung-Yu Wang
Hamed Taherkhani
Melika Sepidband
Mohammad Abdollahi
Hadi Hemmati
Hung Viet Pham
ALMELM
475
3
0
26 Feb 2025
GARCH-Informed Neural Networks for Volatility Prediction in Financial
  Markets
GARCH-Informed Neural Networks for Volatility Prediction in Financial MarketsInternational Conference on AI in Finance (ICAF), 2024
Zeda Xu
John Liechty
Sebastian Benthall
Nicholas Skar-Gislinge
Christopher McComb
AIFin
60
3
0
30 Sep 2024
Application of Long-Short Term Memory and Convolutional Neural Networks
  for Real-Time Bridge Scour Prediction
Application of Long-Short Term Memory and Convolutional Neural Networks for Real-Time Bridge Scour Prediction
Tahrima Hashem
N. Yousefpour
142
7
0
25 Apr 2024
Fault Tolerant Neural Control Barrier Functions for Robotic Systems
  under Sensor Faults and Attacks
Fault Tolerant Neural Control Barrier Functions for Robotic Systems under Sensor Faults and Attacks
Hongchao Zhang
Luyao Niu
Andrew Clark
Radha Poovendran
AAML
155
4
0
28 Feb 2024
Position: What Can Large Language Models Tell Us about Time Series
  Analysis
Position: What Can Large Language Models Tell Us about Time Series Analysis
Ming Jin
Yifan Zhang
Wei Chen
Kexin Zhang
Yuxuan Liang
Bin Yang
James Evans
Shirui Pan
Qingsong Wen
AI4TS
202
45
0
05 Feb 2024
Data Augmentation for Time-Series Classification: An Extensive Empirical
  Study and Comprehensive Survey
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey
Zijun Gao
Lingbo Li
AI4TS
399
16
0
16 Oct 2023
Nowcasting day-ahead marginal emissions using multi-headed CNNs and deep
  generative models
Nowcasting day-ahead marginal emissions using multi-headed CNNs and deep generative models
Dhruv Suri
Anela Arifi
Ines Azevedo
43
0
0
02 Oct 2023
Judging a video by its bitstream cover
Judging a video by its bitstream coverData Compression Conference (DCC), 2023
Yuxing Han
Yunan Ding
Jiangtao Wen
Chen Ye Gan
105
0
0
14 Sep 2023
Optimized Three Deep Learning Models Based-PSO Hyperparameters for
  Beijing PM2.5 Prediction
Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 PredictionKnowledge Engineering and Data Science (KEDS), 2022
Andri Pranolo
Yingchi Mao
A. Wibawa
Agung Bella Putra Utama
F. Dwiyanto
93
17
0
10 Jun 2023
Adaptive Sparsity Level during Training for Efficient Time Series
  Forecasting with Transformers
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
Zahra Atashgahi
Mykola Pechenizkiy
Raymond N. J. Veldhuis
Decebal Constantin Mocanu
AI4TSAI4CE
203
1
0
28 May 2023
TSMixer: An All-MLP Architecture for Time Series Forecasting
TSMixer: An All-MLP Architecture for Time Series Forecasting
Si-An Chen
Chun-Liang Li
Nate Yoder
Sercan O. Arik
Tomas Pfister
AI4TS
233
282
0
10 Mar 2023
Control of synaptic plasticity in neural networks
Control of synaptic plasticity in neural networks
M. Modiri
67
1
0
10 Mar 2023
Learning Mixture Structure on Multi-Source Time Series for Probabilistic
  Forecasting
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting
Tianli Guo
AI4TS
139
1
0
22 Feb 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual
  Explanations on the Investigation of Anomalies in Multivariate Time Series
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
129
2
0
07 Feb 2023
Unsupervised Deep Learning for IoT Time Series
Unsupervised Deep Learning for IoT Time SeriesIEEE Internet of Things Journal (IEEE IoT J.), 2023
Ya Liu
Ying Zhou
Kai Yang
Xiao Wang
AI4TS
323
53
0
07 Feb 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A
  Current Survey
Deep Learning for Time Series Classification and Extrinsic Regression: A Current SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Navid Mohammadi Foumani
Lynn Miller
Chang Wei Tan
G. I. Webb
Germain Forestier
Mahsa Salehi
BDLAI4TS
348
182
0
06 Feb 2023
Machine Learning for UAV Propeller Fault Detection based on a Hybrid
  Data Generation Model
Machine Learning for UAV Propeller Fault Detection based on a Hybrid Data Generation Model
J. Tong
Weinan Zhang
F. Liao
C. F. Li
Y. Zhang
93
9
0
03 Feb 2023
Generative Time Series Forecasting with Diffusion, Denoise, and
  Disentanglement
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementNeural Information Processing Systems (NeurIPS), 2023
Jian Wang
Xin-xin Lu
Yaqing Wang
De-Yu Dou
DiffMAI4TS
180
144
0
08 Jan 2023
Traffic Flow Prediction via Variational Bayesian Inference-based
  Encoder-Decoder Framework
Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework
Jianlei Kong
Xiaomeng Fan
Xue-bo Jin
Min Zuo
55
1
0
14 Dec 2022
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for
  Subseasonal Forecasting
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
Elena Orlova
Haokun Liu
Raphael Rossellini
B. Cash
Rebecca Willett
303
4
0
29 Nov 2022
Backdoor Attacks on Time Series: A Generative Approach
Backdoor Attacks on Time Series: A Generative Approach
Yujing Jiang
Jiabo He
S. Erfani
James Bailey
AAMLAI4TS
205
18
0
15 Nov 2022
FinBERT-LSTM: Deep Learning based stock price prediction using News
  Sentiment Analysis
FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis
Shayan Halder
AIFin
56
5
0
11 Nov 2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series
  Data with Deep Learning
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning
Huiyuan Yang
Han Yu
Akane Sano
AI4TS
126
6
0
13 Oct 2022
Retrieval Based Time Series Forecasting
Retrieval Based Time Series Forecasting
Baoyu Jing
Si Zhang
Yada Zhu
B. Peng
K. Guan
A. Margenot
Hanghang Tong
AI4TS
193
16
0
27 Sep 2022
StyleTime: Style Transfer for Synthetic Time Series Generation
StyleTime: Style Transfer for Synthetic Time Series GenerationInternational Conference on AI in Finance (ICAF), 2022
Yousef El-Laham
Svitlana Vyetrenko
AI4TS
139
11
0
22 Sep 2022
Self-Supervised Multimodal Fusion Transformer for Passive Activity
  Recognition
Self-Supervised Multimodal Fusion Transformer for Passive Activity RecognitionIET Wireless Sensor Systems (IET WSS), 2022
Armand K. Koupai
M. J. Bocus
Raúl Santos-Rodríguez
Robert Piechocki
Ryan McConville
ViT
124
11
0
15 Aug 2022
Integrating Statistical and Machine Learning Approaches to Identify
  Receptive Field Structure in Neural Populations
Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural PopulationsIEEE Access (IEEE Access), 2022
Mehrad Sarmashghi
Shantanu P. Jadhav
U. Eden
151
2
0
25 Jul 2022
Rapid training of quantum recurrent neural networks
Rapid training of quantum recurrent neural networksQuantum Machine Intelligence (QMI), 2022
M. Siemaszko
A. Buraczewski
Bertrand Le Saux
Magdalena Stobiñska
254
13
0
01 Jul 2022
Safety Guarantees for Neural Network Dynamic Systems via Stochastic
  Barrier Functions
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier FunctionsNeural Information Processing Systems (NeurIPS), 2022
Rayan Mazouz
Karan Muvvala
Akash Ratheesh
Luca Laurenti
Morteza Lahijanian
AAML
377
33
0
15 Jun 2022
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection
Deep Learning for Prawn Farming: Forecasting and Anomaly DetectionPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022
J. Dabrowski
Ashfaqur Rahman
Andrew D. Hellicar
Mashud Rana
Stuart Arnold
80
2
0
12 May 2022
Performance of Deep Learning models with transfer learning for
  multiple-step-ahead forecasts in monthly time series
Performance of Deep Learning models with transfer learning for multiple-step-ahead forecasts in monthly time series
M. Solís
L. Calvo-Valverde
AI4TS
159
8
0
18 Mar 2022
On the effectiveness of Randomized Signatures as Reservoir for Learning
  Rough Dynamics
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough DynamicsIEEE International Joint Conference on Neural Network (IJCNN), 2022
Enea Monzio Compagnoni
Anna Scampicchio
Luca Biggio
Antonio Orvieto
Thomas Hofmann
Josef Teichmann
232
4
0
02 Jan 2022
Multi Scale Graph Wavenet for Wind Speed Forecasting
Multi Scale Graph Wavenet for Wind Speed Forecasting
Neetesh Rathore
Pradeep Rathore
Arghya Basak
S. Nistala
Venkataramana Runkana
AI4TS
177
24
0
30 Sep 2021
A spatio-temporal LSTM model to forecast across multiple temporal and
  spatial scales
A spatio-temporal LSTM model to forecast across multiple temporal and spatial scalesEcological Informatics (Ecol. Inform.), 2021
Yihao Hu
Fearghal O'Donncha
Paul Palmes
M. Burke
R. Filgueira
Jon Grant
AI4TS
221
55
0
26 Aug 2021
DTWSSE: Data Augmentation with a Siamese Encoder for Time Series
DTWSSE: Data Augmentation with a Siamese Encoder for Time Series
Xinyu Yang
Xinlan Zhang
Zhenguo Zhang
Yahui Zhao
Rong-yi Cui
AI4TS
94
2
0
23 Aug 2021
MegazordNet: combining statistical and machine learning standpoints for
  time series forecasting
MegazordNet: combining statistical and machine learning standpoints for time series forecasting
Angelo G. Menezes
S. Mastelini
AI4TSAIFin
36
2
0
23 Jun 2021
Convolutional Neural Network(CNN/ConvNet) in Stock Price Movement
  Prediction
Convolutional Neural Network(CNN/ConvNet) in Stock Price Movement Prediction
Kunal Bhardwaj
111
5
0
03 Jun 2021
Sifting out the features by pruning: Are convolutional networks the
  winning lottery ticket of fully connected ones?
Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?
Franco Pellegrini
Giulio Biroli
212
6
0
27 Apr 2021
Accuracy Improvement for Fully Convolutional Networks via Selective
  Augmentation with Applications to Electrocardiogram Data
Accuracy Improvement for Fully Convolutional Networks via Selective Augmentation with Applications to Electrocardiogram DataInformatics in Medicine Unlocked (IMU), 2021
Lucas Cassiel Jacaruso
109
5
0
25 Apr 2021
An Experimental Review on Deep Learning Architectures for Time Series
  Forecasting
An Experimental Review on Deep Learning Architectures for Time Series ForecastingInternational Journal of Neural Systems (IJNS), 2020
Pedro Lara-Benítez
Manuel Carranza-García
José Cristóbal Riquelme Santos
AI4TS
203
388
0
22 Mar 2021
Broad-UNet: Multi-scale feature learning for nowcasting tasks
Broad-UNet: Multi-scale feature learning for nowcasting tasksNeural Networks (NN), 2021
Jesús García Fernández
S. Mehrkanoon
145
81
0
12 Feb 2021
PatchX: Explaining Deep Models by Intelligible Pattern Patches for
  Time-series Classification
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series ClassificationIEEE International Joint Conference on Neural Network (IJCNN), 2021
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
AI4TS
87
8
0
11 Feb 2021
Causal Inference for Time series Analysis: Problems, Methods and
  Evaluation
Causal Inference for Time series Analysis: Problems, Methods and EvaluationKnowledge and Information Systems (KAIS), 2021
Raha Moraffah
Paras Sheth
Mansooreh Karami
Anchit Bhattacharya
Qianru Wang
Anique Tahir
A. Raglin
Huan Liu
CMLAI4TS
208
125
0
11 Feb 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Adjusting for Autocorrelated Errors in Neural Networks for Time SeriesNeural Information Processing Systems (NeurIPS), 2021
Fan-Keng Sun
C. Lang
Duane S. Boning
OODAI4TS
324
35
0
28 Jan 2021
Challenges and approaches to time-series forecasting in data center
  telemetry: A Survey
Challenges and approaches to time-series forecasting in data center telemetry: A Survey
Shruti Jadon
Jan Kanty Milczek
Ajit Patnakar
AI4TS
73
11
0
11 Jan 2021
Series Saliency: Temporal Interpretation for Multivariate Time Series
  Forecasting
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting
Qingyi Pan
Wenbo Hu
Jun Zhu
FAttAI4TS
85
8
0
16 Dec 2020
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