36 citations · 103 across the 13 of their papers we have counts for
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cs.LG2023★ 3 cited
Evaluating XGBoost for Balanced and Imbalanced Data: Application to Fraud Detection
Gissel Velarde, Anindya Sudhir, Sanjay Deshmane +3
This paper evaluates XGboost's performance given different dataset sizes and class distributions, from perfectly balanced to highly imbalanced. XGBoost has been selected for evalua…
cs.LG2023
Forecasting with Deep Learning
Gissel Velarde
This paper presents a method for time series forecasting with deep learning and its assessment on two datasets. The method starts with data preparation, followed by model training…