Zeeshan Tariq

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 11

Top Topics

Business Process Modeling

Hierarchical Clustering

Business Processes

Top Venues

Neural Comput. Appl.

SmartWorld/SCALCOM/UIC/ATC/IOP/SCI

Publications

Zeeshan Tariq, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor
Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis. Algorithms 15 (8) (2022)
Cathryn Peoples, Zeeshan Tariq, Adrian Moore, Mohammad Hossein Zoualfaghari, Andrew Reeves
Using Process Mining to Formalise Service Level Agreement (SLA) Allocation. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI (2021)
Teslim Olayiwola, Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud
Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach. Neural Comput. Appl. 33 (24) (2021)
Zeeshan Tariq, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor
Proactive business process mining for end-state prediction using trace features. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI (2021)
Naveed Khan, Zeeshan Tariq, Aftab Ali, Sally I. McClean, Paul N. Taylor, Detlef D. Nauck
Early Prediction of Complex Business Processes Using Association Rule Based Mining. RTIP2R (2021)
Zeeshan Tariq, Naveed Khan, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor
Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-Stage Framework. Algorithms 13 (10) (2020)
Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem
An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks. Neural Comput. Appl. 32 (15) (2020)
Gulraiz Khan, Muhammad Ali Farooq, Junaid Hussain, Zeeshan Tariq, Muhammad Usman Ghani Khan
Categorization of Crowd Varieties using Deep Concurrent Convolution Neural Network. ICACS (2019)
Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem, Ibrahim Mohamed
An integrated approach for estimating static Young's modulus using artificial intelligence tools. Neural Comput. Appl. 31 (8) (2019)
Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem
Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction. Neural Comput. Appl. 31 (12) (2019)
Salaheldin Elkatatny, Mohamed Mahmoud, Zeeshan Tariq, Abdulazeez Abdulraheem
New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network. Neural Comput. Appl. 30 (9) (2018)