Výsledky vyhledávání - "Manuel R. Vargas"

Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles

Autor: Carlos E. M. dos Anjos, Alexandre G. Evsukoff, Manuel R. Vargas, Gustavo L. G. Bichara

Publikováno v: IJCNN

This work uses deep learning models for daily directional movements prediction of a stock price using financial news titles and technical indicators as input. A comparison is made between two different sets of technical indicators, set 1: Stochastic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5f5f785de497c357e1df9aa4f10fa24a
https://doi.org/10.1109/ijcnn.2018.8489208

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The Social Constitution of Agency and Responsibility

Autor: Manuel R. Vargas

Publikováno v: Oxford Scholarship

Culpability under oppression is puzzling. On the one hand, it seems callous to insist that someone’s being subject to oppression is never relevant to her culpability. On the other hand, responsible agency exists under systematic disadvantage; insis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::543a32cc08e2fff507c0fae8db3415e8
https://doi.org/10.1093/oso/9780190609610.003.0005

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Implicit Bias, Responsibility, and Moral Ecology

Autor: Manuel R. Vargas

There are reasons that weigh both in favor and against judging agents blameworthy for actions produced in part by implicit biases. Indeed, perhaps implicit bias reveals that our received views about agency are mistaken or confused. If so, then perhap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::28c6464adc267cd480c194887ef1ff4d
https://doi.org/10.1093/oso/9780198805601.003.0012

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Deep learning for stock market prediction from financial news articles

Autor: Alexandre G. Evsukoff, Manuel R. Vargas, Beatriz Souza Leite Pires de Lima

Publikováno v: 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

This work uses deep learning methods for intraday directional movements prediction of Standard & Poor's 500 index using financial news titles and a set of technical indicators as input. Deep learning methods can detect and analyze complex patterns an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a6df03b71f5e395c1ff4c6e78f01f78c
https://doi.org/10.1109/civemsa.2017.7995302

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