3 citations · 5 across the 2 of their papers we have counts for
5 papers
Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system
Fabrice Daniel
Combining evidence from different sources can be achieved with Bayesian or Dempster-Shafer methods. The first requires an estimate of the priors and likelihoods while the second on…
Financial Time Series Data Processing for Machine Learning
Fabrice Daniel
This article studies the financial time series data processing for machine learning. It introduces the most frequent scaling methods, then compares the resulting stationarity and p…
Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters
Marc Velay, Fabrice Daniel
This study evaluates the performances of an LSTM network for detecting and extracting the intent and content of com- mands for a financial chatbot. It presents two techniques, sequ…
Stock Chart Pattern recognition with Deep Learning
Marc Velay, Fabrice Daniel
This study evaluates the performances of CNN and LSTM for recognizing common charts patterns in a stock historical data. It presents two common patterns, the method used to build t…
Using NLP on news headlines to predict index trends
Marc Velay, Fabrice Daniel
This paper attempts to provide a state of the art in trend prediction using news headlines. We present the research done on predicting DJIA trends using Natural Language Processing…