| Prediction of dynamical systems by symbolic regression M Quade, M Abel, K Shafi, RK Niven, BR Noack Physical Review E 94 (1), 012214, 2016 | 97 | 2016 |
| An adaptive genetic-based signature learning system for intrusion detection K Shafi, HA Abbass Expert Systems with Applications 36 (10), 12036-12043, 2009 | 91 | 2009 |
| An ensemble approach for conflict detection in Free Flight by data mining S Alam, K Shafi, HA Abbass, M Barlow Transportation Research Part C: Emerging Technologies 17 (3), 298-317, 2009 | 66 | 2009 |
| Intrusion detection with evolutionary learning classifier systems K Shafi, T Kovacs, HA Abbass, W Zhu Natural Computing 8 (1), 3-27, 2009 | 51 | 2009 |
| Achievement, affiliation, and power: Motive profiles for artificial agents KE Merrick, K Shafi Adaptive Behavior 19 (1), 40-62, 2011 | 46 | 2011 |
| Implications of the curse of dimensionality for supervised learning classifier systems: theoretical and empirical analyses E Debie, K Shafi Pattern Analysis and Applications 22 (2), 519-536, 2019 | 41 | 2019 |
| Sentiment Analysis for a Resource Poor Language—Roman Urdu K Mehmood, D Essam, K Shafi, MK Malik ACM Transactions on Asian and Low-Resource Language Information Processing …, 2019 | 39 | 2019 |
| EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction M Wang, A Hussein, RF Rojas, K Shafi, HA Abbass 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 350-357, 2018 | 39 | 2018 |
| Biologically-inspired complex adaptive systems approaches to network intrusion detection K Shafi, HA Abbass Information Security Technical Report 12 (4), 209-217, 2007 | 38 | 2007 |
| A Survey of Game Theoretic Approaches to Modelling Decision-Making in Information Warfare Scenarios K Merrick, M Hardhienata, K Shafi, J Hu Future Internet 8 (3), 34, 2016 | 34 | 2016 |
| Evaluation of an adaptive genetic-based signature extraction system for network intrusion detection K Shafi, HA Abbass Pattern Analysis and Applications 16 (4), 549-566, 2013 | 34 | 2013 |
| Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis K Mehmood, D Essam, K Shafi, MK Malik IEEE Access 7, 47991-48002, 2019 | 30 | 2019 |
| Sentiment Analysis System for Roman Urdu K Mehmood, D Essam, K Shafi Science and Information Conference, 29-42, 2018 | 28 | 2018 |
| A Game Theoretic Framework for Incentive-Based Models of Intrinsic Motivation in Artificial Systems KE Merrick, K Shafi Frontiers in Psychology 4, 791, 2013 | 26 | 2013 |
| Urdu Natural Scene Character Recognition using Convolutional Neural Networks A Ali, M Pickering, K Shafi 2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis …, 2018 | 25 | 2018 |
| Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms K Shafi, S Elsayed, R Sarker, M Ryan Applied Soft Computing 56, 717-729, 2017 | 23 | 2017 |
| A computational Intelligence‐based Method to ‘Learn’Causal Loop Diagram‐like Structures from Observed Data H Abdelbari, K Shafi System Dynamics Review 33 (1), 3-33, 2017 | 23 | 2017 |
| A Survey of Learning Classifier Systems in Games K Shafi, HA Abbass IEEE Computational Intelligence Magazine 12 (1), 42-55, 2017 | 22 | 2017 |
| Character classification and recognition for Urdu texts in natural scene images AA Chandio, M Pickering, K Shafi 2018 International Conference on Computing, Mathematics and Engineering …, 2018 | 20 | 2018 |
| An unsupervised lexical normalization for Roman Hindi and Urdu sentiment analysis K Mehmood, D Essam, K Shafi, MK Malik Information Processing & Management 57 (6), 102368, 2020 | 18 | 2020 |
Hussein A. AbbassFellow IEEE, Founding-Editor-in-Chief, IEEE Trans on AI, Professor, University of New South WalesZweryfikowany adres z adfa.edu.au
