Követés
Tian Guo
Cím
Hivatkozott rá
Hivatkozott rá
Év
Robust online time series prediction with recurrent neural networks
T Guo, Z Xu, X Yao, H Chen, K Aberer, K Funaya
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
1402016
Hybrid neural networks for learning the trend in time series
T Guo, T Lin, K Aberer
Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017
1312017
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
T Guo, T Lin, N Antulov-Fantulin
International Conference on Machine Learning (ICML), 2019, 2019
892019
Bitcoin volatility forecasting with a glimpse into buy and sell orders
T Guo, A Bifet, N Antulov-Fantulin
2018 IEEE International Conference on Data Mining (ICDM), 989-994, 2018
402018
Predicting short-term Bitcoin price fluctuations from buy and sell orders
T Guo, N Antulov-Fantulin
ICDM , arXiv preprint arXiv:1802.04065, 2018
402018
An adaptive approach for online segmentation of multi-dimensional mobile data
T Guo, Z Yan, K Aberer
Proceedings of the Eleventh ACM International Workshop on Data Engineering …, 2012
322012
Efficient indexing and query processing of model-view sensor data in the cloud
T Guo, TG Papaioannou, K Aberer
Big Data Research 1, 52-65, 2014
282014
An interpretable LSTM neural network for autoregressive exogenous model
T Guo, T Lin, Y Lu
ICLR workshop track, 2018, 2018
272018
Fast distributed correlation discovery over streaming time-series data
T Guo, S Sathe, K Aberer
Proceedings of the 24th ACM International on Conference on Information and …, 2015
242015
An experimental study of Bitcoin fluctuation using machine learning methods
T Guo, N Antulov-Fantulin
arXiv preprint arXiv:1802.04065, 2018
212018
Multi-variable LSTM neural network for autoregressive exogenous model
T Guo, T Lin
arXiv preprint arXiv:1806.06384, 2018
192018
Data summarization with social contexts
H Zhuang, R Rahman, X Hu, T Guo, P Hui, K Aberer
Proceedings of the 25th ACM International on Conference on Information and …, 2016
182016
Model-view sensor data management in the cloud
T Guo, TG Papaioannou, K Aberer
2013 IEEE International Conference on Big Data, 282-290, 2013
142013
Sensing social media signals for cryptocurrency news
J Beck, R Huang, D Lindner, T Guo, Z Ce, D Helbing, N Antulov-Fantulin
Companion proceedings of the 2019 World Wide Web conference, 1051-1054, 2019
122019
Esg2risk: A deep learning framework from esg news to stock volatility prediction
T Guo, N Jamet, V Betrix, LA Piquet, E Hauptmann
arXiv preprint arXiv:2005.02527, 2020
72020
Low-dimensional statistical manifold embedding of directed graphs
T Funke, T Guo, A Lancic, N Antulov-Fantulin
International Conference on Learning Representations (ICLR), 2020
6*2020
Hybrid neural networks over time series for trend forecasting
T Lin, T Guo, K Aberer
IJCAI, 2017
52017
Robust online time series prediction with recurrent neural networks. In 2016 IEEE DSAA
T Guo, Z Xu, X Yao, H Chen, K Aberer, K Funaya
IEEE, 2016
52016
Temporal mixture ensemble models for probabilistic forecasting of intraday cryptocurrency volume
N Antulov-Fantulin, T Guo, F Lillo
Decisions in Economics and Finance 44 (2), 905-940, 2021
4*2021
Is simple better? revisiting non-linear matrix factorization for learning incomplete ratings
V Krishna, T Guo, N Antulov-Fantulin
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1289-1293, 2018
42018
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Cikkek 1–20