| Robust online time series prediction with recurrent neural networks T Guo, Z Xu, X Yao, H Chen, K Aberer, K Funaya IEEE International Conference on Data Science and Advanced Analytics(DSAA …, 2016 | 217 | 2016 |
| Exploring Interpretable LSTM Neural Networks over Multi-Variable Data T Guo, T Lin, N Antulov-Fantulin International Conference on Machine Learning (ICML), 2019, 2019 | 203 | 2019 |
| Hybrid neural networks for learning the trend in time series T Guo, T Lin, K Aberer International Joint Conference on Artificial Intelligence (IJCAI), 2273-2279, 2017 | 182* | 2017 |
| 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 | 71 | 2018 |
| Predicting short-term Bitcoin price fluctuations from buy and sell orders T Guo, N Antulov-Fantulin ICDM , arXiv preprint arXiv:1802.04065, 2018 | 53 | 2018 |
| An interpretable LSTM neural network for autoregressive exogenous model T Guo, T Lin, Y Lu ICLR workshop track, 2018, 2018 | 46 | 2018 |
| An adaptive approach for online segmentation of multi-dimensional mobile data T Guo, Z Yan, K Aberer ACM SIGMOD MobiDE, 7-14, 2012 | 33 | 2012 |
| 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 | 32 | 2020 |
| 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 | 30 | 2014 |
| Fast distributed correlation discovery over streaming time-series data T Guo, S Sathe, K Aberer ACM Conference on Information and Knowledge Management (CIKM), 1161-1170, 2015 | 26 | 2015 |
| Multi-variable LSTM neural network for autoregressive exogenous model T Guo, T Lin arXiv preprint arXiv:1806.06384, 2018 | 24 | 2018 |
| An experimental study of Bitcoin fluctuation using machine learning methods T Guo, N Antulov-Fantulin arXiv preprint arXiv:1802.04065, 2018 | 23 | 2018 |
| Data summarization with social contexts H Zhuang, R Rahman, X Hu, T Guo, P Hui, K Aberer ACM Conference on Information and Knowledge Management (CIKM), 397-406, 2016 | 22 | 2016 |
| 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 ACM Web Conference, 1051-1054, 2019 | 19 | 2019 |
| Model-view sensor data management in the cloud T Guo, TG Papaioannou, K Aberer 2013 IEEE International Conference on Big Data, 282-290, 2013 | 13 | 2013 |
| 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 | 10* | 2021 |
| Low-dimensional statistical manifold embedding of directed graphs T Funke, T Guo, A Lancic, N Antulov-Fantulin International Conference on Learning Representations (ICLR), 2020 | 7* | 2020 |
| Hybrid neural networks over time series for trend forecasting T Lin, T Guo, K Aberer IJCAI, 2017 | 7 | 2017 |
| Sigco: Mining significant correlations via a distributed real-time computation engine T Guo, JP Calbimonte, H Zhuang, K Aberer 2015 IEEE International Conference on Big Data (Big Data), 747-756, 2015 | 6 | 2015 |
| 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 | 5 | 2018 |
Karl AbererProfessor of Computer and Communication Sciences, EPFL在 epfl.ch 的电子邮件经过验证
