Fetching the paper…
Reading the bibliography…
Stock prediction aims to predict the future trends of a stock in order to help investors to make good investment decisions.
Learning task-dependent distributed representations by backpropagation through structure. In International Conference on Neural Networks
Christoph Goller and Andreas Kuchler. 1996 · 1996
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
A Random Walk Down Wall Street
Gerald L Musgrave. 1997 · 1997
Earlier work this paper cites.
The PageRank citation ranking: Bringing order to the web
Lawrence et al. Page. 1999 · 1999
Earlier work this paper cites.
A non-random walk down Wall Street
Andrew W Lo and A Craig MacKinlay. 2002 · 2002
Earlier work this paper cites.
Stock volatility in the new millennium: how wacky is Nasdaq?
G William Schwert. 2002 · 2002
Earlier work this paper cites.
Semi-supervised learning using gaussian fields and harmonic functions. In ICML
Xiaojin et al. Zhu. 2003 · 2003
Earlier work this paper cites.
COFIRANK Maximum Margin Matrix Factorization for Collaborative Ranking. In NIPS
Markus et al. Weimer. 2007 · 2007
Earlier work this paper cites.
A regression framework for learning ranking functions using relative relevance judgments. In SIGIR
Zhaohui et al. Zheng. 2007 · 2007
Earlier work this paper cites.
Learning with hypergraphs: Clustering, classification, and embedding. In NIPS
Denny et al. Zhou. 2007 · 2007
Earlier work this paper cites.
Wavelets on graphs via spectral graph theory
David K Hammond, Pierre Vandergheynst, and Rémi Gribonval. 2011 · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks. In NIPS
Alex et al. Krizhevsky. 2012 · 2012
Earlier work this paper cites.
STOCK MARKET FORECASTING TECHNIQUES: A SURVEY
G Preethi and B Santhi. 2012 · 2012
Earlier work this paper cites.
Data clustering: algorithms and applications
Charu C Aggarwal and Chandan K Reddy. 2013 · 2013
Earlier work this paper cites.
Translating embeddings for modeling multi-relational data. In NIPS
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
Earlier work this paper cites.
Speech recognition with deep recurrent neural networks. In ICASSP
Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton. 2013 · 2013
Cited alongside, same era.
Rectifier nonlinearities improve neural network acoustic models. In Proc. icml
Andrew L Maas, Awni Y Hannun, and Andrew Y Ng. 2013 · 2013
Cited alongside, same era.
Reasoning with neural tensor networks for knowledge base completion. In NIPS
Richard et al. Socher. 2013 · 2013
Cited alongside, same era.
Comparison of ARIMA and artificial neural networks models for stock price prediction
Ayodele Ariyo et al. Adebiyi. 2014 · 2014
Cited alongside, same era.
Spectral networks and locally connected networks on graphs. In ICLR
Joan et al. Bruna. 2014 · 2014
Cited alongside, same era.
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Learning query and document relevance from a web-scale click graph. In SIGIR
Shan et al. Jiang. 2016 · 2016
Later among the works it cites.
A survey of the applications of text mining in financial domain
B Shravan Kumar and Vadlamani Ravi. 2016 · 2016
Later among the works it cites.
A tensor-based information framework for predicting the stock market
Qing et al. Li. 2016 · 2016
Later among the works it cites.
Novelty Based Ranking of Human Answers for Community Questions. In SIGIR
Adi et al. Omari. 2016 · 2016
Later among the works it cites.
Investment recommendation using investor opinions in social media. In SIGIR
Wenting et al. Tu. 2016 · 2016
Later among the works it cites.
Learning to respond with deep neural networks for retrieval-based human-computer conversation system. In Proceedings of the 39th ACM SIGIR
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Kyunghyun et al. Cho. 2014 · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Multimedia search reranking: A literature survey
Tao Mei, Yong Rui, Shipeng Li, and Qi Tian. 2014 · 2014
Cited alongside, same era.
Text mining for market prediction: A systematic review
Arman Khadjeh et al. Nassirtoussi. 2014 · 2014
Cited alongside, same era.
Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
Cited alongside, same era.
Topic modeling based sentiment analysis on social media for stock market prediction. In ACL
Thien Hai Nguyen and Kiyoaki Shirai. 2015 · 2015
Cited alongside, same era.
Unsupervised learning of video representations using lstms. In ICML
Nitish Srivastava, Elman Mansimov, and Ruslan Salakhudinov. 2015 · 2015
Cited alongside, same era.
Rui Yan, Yiping Song, and Hua Wu. 2016 · 2016
Later among the works it cites.
A survey on social media anomaly detection
Rose Yu, Huida Qiu, Zhen Wen, ChingYung Lin, and Yan Liu. 2016 · 2016
Later among the works it cites.
Improving Factor-Based Quantitative Investing by Forecasting Company Fundamentals
John Alberg and Zachary C Lipton. 2017 · 2017
Later among the works it cites.
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
Wei et al. Bao. 2017 · 2017
Later among the works it cites.
Spectral Graph Wavelets for Structural Role Similarity in Networks
Claire Donnat, Marinka Zitnik, David Hallac, and Jure Leskovec. 2017 · 2017
Later among the works it cites.
Computational social indicators: a case study of chinese university ranking. In SIGIR
Fuli et al. Feng. 2017 · 2017
Later among the works it cites.
Neural collaborative filtering. In WWW
Xiangnan et al. He. 2017 · 2017
Later among the works it cites.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2017 · 2017
Later among the works it cites.
Constructing and embedding abstract event causality networks from text snippets. In WSDM
Sendong et al. Zhao. 2017 · 2017
Later among the works it cites.
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. In WSDM
Ziniu et al. Hu. 2018 · 2018
Closest in time.