activity
20092022
most citedTransfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry

27 citations · 45 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 2 cited

Traffic Management of Autonomous Vehicles using Policy Based Deep Reinforcement Learning and Intelligent Routing

Anum Mushtaq, Irfan ul Haq, Muhammad Azeem Sarwar +2

Deep Reinforcement Learning (DRL) uses diverse, unstructured data and makes RL capable of learning complex policies in high dimensional environments. Intelligent Transportation Sys…

cs.CR2019★ 16 cited

A Survey of Binary Code Similarity

Irfan Ul Haq, Juan Caballero

Binary code similarity approaches compare two or more pieces of binary code to identify their similarities and differences. The ability to compare binary code enables many real-wor…

cs.LG2019★ 27 cited

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…

cs.CR2017

Malware Lineage in the Wild

Irfan Ul Haq, Sergio Chica, Juan Caballero +1

Malware lineage studies the evolutionary relationships among malware and has important applications for malware analysis. A persistent limitation of prior malware lineage approache…

cs.DC2009

Business in the Grid

Erich Schikuta, Thomas Weishaeupl, Flavia Donno +5

From 2004 to 2007 the Business In the Grid (BIG) project took place and was driven by the following goals: Firstly, make business aware of Grid technology and, secondly, try to exp…