Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

23 January 2020

Papers citing "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

50 / 111 papers shown

Title
Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalities Haolin Zuo Rui Liu Jinming Zhao Guanglai Gao Haizhou Li 65 29 0 27 Oct 2022
Transformer-based conditional generative adversarial network for multivariate time series generation Abdellah Madane M. Dilmi Florent Forest Hanane Azzag M. Lebbah J. Lacaille 30 10 0 05 Oct 2022
A case study of spatiotemporal forecasting techniques for weather forecasting Shakir Showkat Sofi Ivan Oseledets 35 4 0 29 Sep 2022
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting Zakaria Elabid Tanujit Chakraborty Abdenour Hadid AI4TS 45 20 0 08 Sep 2022
Learning Differential Operators for Interpretable Time Series Modeling Yingtao Luo Chang Xu Yang Liu Weiqing Liu Shun Zheng Jiang Bian AI4TS 45 8 0 03 Sep 2022
PanGu-Coder: Program Synthesis with Function-Level Language Modeling Fenia Christopoulou Gerasimos Lampouras Milan Gritta Guchun Zhang Yinpeng Guo ... Guangtai Liang Jia Wei Xin Jiang Qianxiang Wang Qun Liu ELM SyDa ALM 50 74 0 22 Jul 2022
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 41 19 0 19 Jul 2022
Deep Transformer Model with Pre-Layer Normalization for COVID-19 Growth Prediction Rizki Ramadhan Fitra N. Yudistira W. Mahmudy 27 1 0 10 Jul 2022
Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting L. Saad Saoud Hasan Almarzouqi Ramy Hussein 11 4 0 06 Jul 2022
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics Madhurima Panja Tanujit Chakraborty U. Kumar Nan Liu 34 19 0 21 Jun 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 47 272 0 17 Jun 2022
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting Amin Shabani A. Abdi Li Meng Tristan Sylvain AI4TS 32 61 0 08 Jun 2022
Time-series Transformer Generative Adversarial Networks Padmanaba Srinivasan William J. Knottenbelt AI4TS 28 13 0 23 May 2022
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts Felix Drinkall S. Zohren J. Pierrehumbert 22 5 0 20 May 2022
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series Yiwei Fu Feng Xue AI4TS 29 15 0 04 May 2022
Transformers in Time-series Analysis: A Tutorial Sabeen Ahmed Ian E. Nielsen Aakash Tripathi Shamoon Siddiqui Ghulam Rasool R. Ramachandran AI4TS 44 143 0 28 Apr 2022
Time Series Forecasting (TSF) Using Various Deep Learning Models Jimeng Shi Mahek Jain Giri Narasimhan AI4TS 20 31 0 23 Apr 2022
Transformer-Based Self-Supervised Learning for Emotion Recognition Juan Vazquez-Rodriguez G. Lefebvre Julien Cumin James L. Crowley 28 25 0 08 Apr 2022
Hybrid Transformer Network for Different Horizons-based Enriched Wind Speed Forecasting Dr. M. Madhiarasan P. Roy 11 1 0 07 Apr 2022
Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting Madhurima Panja Tanujit Chakraborty U. Kumar Abdenour Hadid AI4TS 19 1 0 01 Apr 2022
A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction Yuchen Dang Ziqi Chen Heng Li Hai Shu ELM BDL 27 26 0 11 Mar 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting Dazhao Du Fuchun Sun Zhewei Wei AI4TS 26 46 0 23 Feb 2022
Variational Neural Temporal Point Process Deokjun Eom Sehyun Lee Jaesik Choi BDL AI4TS 38 2 0 17 Feb 2022
GTrans: Spatiotemporal Autoregressive Transformer with Graph Embeddings for Nowcasting Extreme Events Bo Feng Geoffrey C. Fox AI4TS 30 1 0 18 Jan 2022
Self-supervision of wearable sensors time-series data for influenza detection Arinbjorn Kolbeinsson Piyusha S. Gade R. Kainkaryam Filip Jankovic L. Foschini OOD AI4TS 22 4 0 27 Dec 2021
Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges J. Luis Skylar Eiskowitz Nils Pachler de la Osa E. Crawley B. Cameron 23 5 0 11 Dec 2021
Flight Demand Forecasting with Transformers Liya Wang Amy L. Mykityshyn Craig Johnson Jillian Cheng AI4TS 23 6 0 04 Nov 2021
Multi-Airport Delay Prediction with Transformers Liya Wang A. Tien Jason Chou 19 7 0 04 Nov 2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data Zhibo Zhu Ziqi Liu Ge Jin Qing Cui Lei Chen Jun Zhou Jianyong Zhou AI4TS 29 15 0 27 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 37 275 0 18 Oct 2021
Automated Essay Scoring Using Transformer Models Sabrina Ludwig Christian W. F. Mayer Christopher Hansen Kerstin Eilers Steffen Brandt 21 39 0 13 Oct 2021
Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells I. Abdrakhmanov E. Kanin S. Boronin Evgeny Burnaev A. Osiptsov 37 15 0 12 Oct 2021
Generative Pre-Trained Transformer for Cardiac Abnormality Detection P. Gaudilliere Halla Sigurthorsdottir Clémentine Aguet J. V. Zaen M. Lemay R. Delgado-Gonzalo MedIm 16 5 0 07 Oct 2021
Empirical Quantitative Analysis of COVID-19 Forecasting Models Yun Zhao Yuqing Wang Junfeng Liu H. Xia Zhenni Xu Qinghang Hong Zhiyang Zhou Linda R. Petzold 37 11 0 01 Oct 2021
Digital Signal Processing Using Deep Neural Networks Brian Shevitski Y. Watkins Nicole Man Michael Girard AI4CE 33 4 0 21 Sep 2021
Neural forecasting at scale Philippe Chatigny Shengrui Wang Jean-Marc Patenaude and Boris N. Oreshkin AI4TS 35 1 0 20 Sep 2021
Deciphering Environmental Air Pollution with Large Scale City Data Mayukh Bhattacharyya Sayan Nag Udita Ghosh AI4CE 27 5 0 09 Sep 2021
Transformer Networks for Data Augmentation of Human Physical Activity Recognition Sandeep Ramachandra Alexander Hoelzemann Kristof Van Laerhoven ViT 25 5 0 02 Sep 2021
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting Li Shen Yangzhu Wang AI4TS 40 92 0 29 Aug 2021
Representation learning for neural population activity with Neural Data Transformers Joel Ye C. Pandarinath AI4TS AI4CE 13 53 0 02 Aug 2021
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices L. Menculini A. Marini Massimiliano Proietti A. Garinei Alessio Bozza Cecilia Moretti M. Marconi 16 50 0 23 Jul 2021
Deep Autoregressive Models with Spectral Attention Fernando Moreno-Pino Pablo Martínez Olmos Antonio Artés-Rodríguez AI4TS 43 17 0 13 Jul 2021
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation Lingbo Liu Yuying Zhu Guanbin Li Ziyi Wu Lei Bai Liang Lin AI4TS 48 32 0 02 Jul 2021
Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction Zhizheng Zhang Wen Song Qiqiang Li AI4TS 47 165 0 30 Jun 2021
Deep Particulate Matter Forecasting Model Using Correntropy-Induced Loss Jongsu Kim Changhoon Lee 17 3 0 06 Jun 2021
Automated scoring of pre-REM sleep in mice with deep learning Niklas Grieger J. Schwabedal Stefanie Wendel Y. Ritze Stephan Bialonski 28 18 0 05 May 2021
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise Andrea Castellani Sebastian Schmitt Barbara Hammer NoLa 45 18 0 01 May 2021
Annotating Columns with Pre-trained Language Models Yoshihiko Suhara Jinfeng Li Yuliang Li Dan Zhang cCaugatay Demiralp Chen Chen W. Tan LMTD 26 84 0 05 Apr 2021
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation F. Torabi Garrett A. Warnell Yufei Xu 31 5 0 31 Mar 2021
Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors Davi Pedrosa de Aguiar Fabricio Murai 23 0 0 22 Mar 2021