3 citations · 5 across the 2 of their papers we have counts for
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cs.LG2021★ 2 cited
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…
cs.LG2018
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…
cs.LG2018
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…