OPENTCQ: Towards Change Management in Hybrid Agile Model. - Jamshaid Iqbal Janjua; Aatka Ali; Muhammad Umar Chaudhry (ICCCNT, 2016)

An Effective Feature Selection method using Monte Carlo Search. - Muhammad Umar Chaudhry; Sang-Wook Kim; Jee-Hyong Lee 001 (RACS, 2017)

Feature Selection for High Dimensional Data Using Monte Carlo Tree Search. - Muhammad Umar Chaudhry; Jee-Hyong Lee 001 (IEEE Access, 2018)

MOTiFS: Monte Carlo Tree Search Based Feature Selection. - Muhammad Umar Chaudhry; Jee-Hyong Lee 001 (Entropy, 2018)

TRICE: Mining Frequent Itemsets by Iterative TRimmed Transaction LattICE in Sparse Big Data. - Muhammad Yasir; Muhammad Asif Habib; Muhammad Ashraf; Shahzad Sarwar; Muhammad Umar Chaudhry; Hamayoun Shahwani; Mudassar Ahmad 001; Chaudhry Muhammad Nadeem Faisal (IEEE Access, 2019)

D-GENE: Deferring the GENEration of Power Sets for Discovering Frequent Itemsets in Sparse Big Data. - Muhammad Yasir; Muhammad Asif Habib; Muhammad Ashraf; Shahzad Sarwar; Muhammad Umar Chaudhry; Hamayoun Shahwani; Mudassar Ahmad 001; Chaudhry Muhammad Nadeem Faisal (IEEE Access, 2020)

Monte Carlo Tree Search-Based Recursive Algorithm for Feature Selection in High-Dimensional Datasets. - Muhammad Umar Chaudhry; Muhammad Yasir; Muhammad Nabeel Asghar; Jee-Hyong Lee 001 (Entropy, 2020)

Performing in-situ analytics: Mining frequent patterns from big IoT data at network edge with D-HARPP. - Muhammad Yasir; Ali Haidar; Muhammad Umar Chaudhry; Muhammad Asif Habib; Aamir Hussain; Elzbieta Jasinska; Zbigniew Leonowicz; Michal Jasiñski (Eng. Appl. Artif. Intell., 2022)

A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images. - Hassaan Malik; Tayyaba Anees; Muhammad Umar Chaudhry; Radomír Gono; Michal Jasiñski; Zbigniew Leonowicz; Petr Bernat (IEEE Access, 2023)

Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions. - Hassaan Malik; Tayyaba Anees; Muhammad Faheem 003; Muhammad Umar Chaudhry; Aatka Ali; Muhammad Nabeel Asghar (Internet Things, 2023)