Zeeshan Tariq

According to our database, Zeeshan Tariq authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Estimating the number of household TV profiles based in customer behaviour using Gaussian mixture model averaging.

Gabriel R. Palma, Sally I. McClean, Brahim Allan, Zeeshan Tariq, Rafael A. Moral

CoRR, May, 2025

Analyzing the Impact of COVID-19 on Gas Demand Markets: A Process Analytics Perspective.

Syed Arshad Raza, Atiq Waliullah Siddiqui, Zeeshan Tariq

Proceedings of the 12th International Conference on Information Technology, 2025

BalancedCL: A Balanced Contrastive Learning Framework for Process Mining with Multi-Head Attention.

Bilal Ahmed Lodhi, Zeeshan Tariq, Hanif Ullah

Proceedings of the 12th International Conference on Information Technology, 2025

Enhancing Process Mining on Sparse Event Logs: A Simulation-Driven Academic Case Study.

Towfeeq Fairooz, Aleeha Iftikhar, Zeeshan Tariq, Sally I. McClean, Ian R. McChesney

Proceedings of the 12th International Conference on Information Technology, 2025

Autonomous Management of IoT Devices in Smart Homes Using Semi-Markov Models.

Dongwei Wang, Sally I. McClean, Ian R. McChesney, Zeeshan Tariq

Proceedings of the Advanced Information Networking and Applications, 2025

2024

Using Semi-Markov Models for Generating, Validating, and Analyzing Artificial Smart Home Processes.

Sally I. McClean, Dongwei Wang, Lingkai Yang, Ian R. McChesney, Zeeshan Tariq, Shalini Prasad

Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024), 2024

MEDERED: Medical Error Reduction Method for Drugs Prescription.

Maqsood Mahmud, Zeeshan Tariq, Zakarya A. Alzamil, Syed Mohammed Basheeruddin Asdaq, Arshad Mahmood

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2022

Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis.

Zeeshan Tariq, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor

Algorithms, 2022

2021

Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach.

Teslim Olayiwola, Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud

Neural Comput. Appl., 2021

Proactive business process mining for end-state prediction using trace features.

Zeeshan Tariq, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor

Proceedings of the 2021 IEEE SmartWorld, 2021

Using Process Mining to Formalise Service Level Agreement (SLA) Allocation.

Cathryn Peoples, Zeeshan Tariq, Adrian Moore, Mohammad Hossein Zoualfaghari, Andrew Reeves

Proceedings of the 2021 IEEE SmartWorld, 2021

Early Prediction of Complex Business Processes Using Association Rule Based Mining.

Naveed Khan, Zeeshan Tariq, Aftab Ali, Sally I. McClean, Paul N. Taylor, Detlef D. Nauck

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021

2020

An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks.

Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem

Neural Comput. Appl., 2020

Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-Stage Framework.

Zeeshan Tariq, Naveed Khan, Darryl Charles, Sally I. McClean, Ian R. McChesney, Paul N. Taylor

Algorithms, 2020

2019

Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction.

Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem

Neural Comput. Appl., 2019

An integrated approach for estimating static Young's modulus using artificial intelligence tools.

Salaheldin Elkatatny, Zeeshan Tariq, Mohamed Mahmoud, Abdulazeez Abdulraheem, Ibrahim Mohamed

Neural Comput. Appl., 2019

Categorization of Crowd Varieties using Deep Concurrent Convolution Neural Network.

Gulraiz Khan, Muhammad Ali Farooq, Junaid Hussain, Zeeshan Tariq, Muhammad Usman Ghani Khan

Proceedings of the 2nd International Conference on Advancements in Computational Sciences, 2019

2018

New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network.

Salaheldin Elkatatny, Mohamed Mahmoud, Zeeshan Tariq, Abdulazeez Abdulraheem

Neural Comput. Appl., 2018