Asamoah, R. O., Baiden, B. K., Nani, G., & Kissi, E. (2019). Review of exogenous economic indicators influencing construction industry. Advances in Civil Engineering, 2019, 1–8. Advance online publication. https://doi.org/10.1155/2019/6073289 Search in Google Scholar Athey, S. (2019). The Impact of Machine Learning on Economics. The Economics of Artificial Intelligence: An...
Read moreThe understanding of water quality and its underlying processes is important for the protection of aquatic environments. With the rare opportunity of access to a domain expert, an explainable AI (XAI) framework is proposed that is applicable to multivariate time series. The XAI provides explanations that are interpretable by domain...
Read moreمشخصات نویسندگان مقاله Investigation of the performance and accuracy of multivariate time series models in predicting electrical conductivity and total dissolved solid values of the rivers of Urmia lake basinMohammad Soleimani - Ph.D. in Water Science and Engineering, Directorate of Piranshahr health center, Urmia University of MedicalSciences, Jahad Ave., Urmia,...
Read moreMaster course on multivariate time series econometrics. Brief repetition of concepts of univariate time series analysis; stationary vector autoregressive (VAR) processes: basics, estimation, lag order selection, specification testing, forecasting; structural VAR models: various methods for identifying macroeconomic shocks; non-stationary/integrated processes: spurious correlation vs. cointegration, error correction models; multivariate GARCH models....
Read moreAdversarial Examples in Deep Learning for Multivariate Time Series Regression. Mode, G. R. & Hoque, K. A. In 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1-10, 2020. Paper doi bibtex @INPROCEEDINGS{9425190, author={Mode, Gautam Raj and Hoque, Khaza Anuarul}, booktitle={2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)}, title={Adversarial Examples in Deep...
Read moreA Neural Networks Based Method for Multivariate Time-Series Forecasting | IEEE Journals & Magazine | IEEE Xplore Skip to Main Content Source link
Read moreResearch on the analysis of time series has gained momentum in recent years, as knowledge derived from time series analysis can improve the decision-making process for industrial and scientific fields. Furthermore, time series analysis is often an essential part of business intelligence systems. With the growing interest in this topic,...
Read moreForecasting of Multivariate Time Series via Complex Fuzzy Logic | IEEE Journals & Magazine | IEEE Xplore Skip to Main Content Source link
Read moreInterpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks | IEEE Conference Publication | IEEE Xplore Skip to Main Content Source link
Read morePeriodic Neural Networks for Multivariate Time Series Analysis and Forecasting | IEEE Conference Publication | IEEE Xplore Skip to Main Content Source link
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