3 citations · 3 across the 3 of their papers we have counts for
4 papers
Theoretical Analysis of an XGBoost Framework for Product Cannibalization
Gautham Bekal, Mohammad Bari
This paper is an extension of our work where we presented a three-stage XGBoost algorithm for forecasting sales under product cannibalization scenario. Previously we developed the…
An XGBoost-Based Forecasting Framework for Product Cannibalization
Gautham Bekal, Mohammad Bari
Two major challenges in demand forecasting are product cannibalization and long term forecasting. Product cannibalization is a phenomenon in which high demand of some products lead…
Supervised Machine Learning for Signals Having RRC Shaped Pulses
Mohammad Bari, Hussain Taher, Syed Saad Sherazi +1
Classification performances of the supervised machine learning techniques such as support vector machines, neural networks and logistic regression are compared for modulation recog…
Separation of Signals Consisting of Amplitude and Instantaneous Frequency RRC Pulses Using SNR Uniform Training
Mohammad Bari, Milos Doroslovacki
This work presents sample mean and sample variance based features that distinguish continuous phase FSK from QAM and PSK modulations. Root raised cosine pulses are used for signal…