33 citations · 48 across the 7 of their papers we have counts for
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cs.LG2020
Applying Genetic Programming to Improve Interpretability in Machine Learning Models
Leonardo Augusto Ferreira, Frederico Gadelha Guimarães, Rodrigo Silva
Explainable Artificial Intelligence (or xAI) has become an important research topic in the fields of Machine Learning and Deep Learning. In this paper, we propose a Genetic Program…
cs.LG2020
Forecasting in Non-stationary Environments with Fuzzy Time Series
Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Marcos Antonio Alves +3
In this paper we introduce a Non-Stationary Fuzzy Time Series (NSFTS) method with time varying parameters adapted from the distribution of the data. In this approach, we employ Non…