27 citations · 49 across the 7 of their papers we have counts for
3 papers · 1 filter
Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry
Uzair Ahmed, Asifullah Khan, Saddam Hussain Khan +3
A churn prediction system guides telecom service providers to reduce revenue loss. However, the development of a churn prediction system for a telecom industry is a challenging tas…
Adaptive Transfer Learning in Deep Neural Networks: Wind Power Prediction using Knowledge Transfer from Region to Region and Between Different Task Domains
Aqsa Saeed Qureshi, Asifullah Khan
Transfer Learning (TL) in Deep Neural Networks is gaining importance because in most of the applications, the labeling of data is costly and time-consuming. Additionally, TL also p…
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power
Asifullah Khan, Aneela Zameer, Tauseef Jamal +1
Wind energy forecasting helps to manage power production, and hence, reduces energy cost. Deep Neural Networks (DNN) mimics hierarchical learning in the human brain and thus posses…