Time Series Forecasting with ML

Capstone Papers

Top cited papers (250+ citations, 2018-2024) ranked by citation count.

#	Paper	Citations
1	Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network A. Sherstinsky Physica D Nonlinear Phenomena 2020	4,806
2	A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures Yong Yu, Xiaosheng Si, Changhua Hu et al. Neural Computation 2019	4,793
3	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai, J. Zico Kolter, Vladlen Koltun arXiv (Cornell University) 2018	4,274
4	Deep learning for time series classification: a review Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber et al. Data Mining and Knowledge Discovery 2019	2,936
5	Self-Attentive Sequential Recommendation Wang-Cheng Kang, Julian McAuley 2018	2,397
6	Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che, Sanjay Purushotham, Kyunghyun Cho et al. Scientific Reports 2018	1,920
7	Are Transformers Effective for Time Series Forecasting? Ailing Zeng, Muxi Chen, Lei Zhang et al. Proceedings of the AAAI Conference on Artificial Intelligence 2023	1,877
8	Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai, Wei-Cheng Chang, Yiming Yang et al. 2018	1,848
9	Recent advances in physical reservoir computing: A review Gouhei Tanaka, Toshiyuki Yamane, J. B. Héroux et al. Neural Networks 2019	1,828
10	A review on the long short-term memory model Greg Van Houdt, Carlos Mosquera, Gonzalo Nápoles Artificial Intelligence Review 2020	1,654