An investigation into the learning styles and self-regulated learning strategies for computer science students A Alharbi, D Paul, F Henskens, M Hannaford Proceedings ascilite, 36-46, 2011 | 69 | 2011 |
A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers BH Abed-alguni, SK Chalup, FA Henskens, DJ Paul Vietnam Journal of Computer Science 2 (4), 213-226, 2015 | 55 | 2015 |
A comparison study of cooperative Q-learning algorithms for independent learners BH Abed-Alguni, DJ Paul, SK Chalup, FA Henskens Int. J. Artif. Intell 14 (1), 71-93, 2016 | 47 | 2016 |
Island-based Cuckoo Search with elite opposition-based learning and multiple mutation methods for solving optimization problems BH Abed-alguni, D Paul Soft Computing 26 (7), 3293-3312, 2022 | 46 | 2022 |
Hybridizing the cuckoo search algorithm with different mutation operators for numerical optimization problems BH Abed-Alguni, DJ Paul Journal of Intelligent Systems 29 (1), 1043-1062, 2019 | 41 | 2019 |
Automated muzzle detection and biometric identification via few-shot deep transfer learning of mixed breed cattle A Shojaeipour, G Falzon, P Kwan, N Hadavi, FC Cowley, D Paul Agronomy 11 (11), 2365, 2021 | 37 | 2021 |
Improved Salp swarm algorithm for solving single-objective continuous optimization problems BH Abed-Alguni, D Paul, R Hammad Applied Intelligence 52 (15), 17217-17236, 2022 | 24 | 2022 |
Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection BH Abed-Alguni, NA Alawad, MA Al-Betar, D Paul Applied Intelligence 53 (11), 13224-13260, 2023 | 22 | 2023 |
Consumer participation in quality improvements for chronic disease care: development and evaluation of an interactive patient-centered survey to identify preferred service … EA Fradgley, CL Paul, J Bryant, IA Roos, FA Henskens, DJ Paul Journal of Medical Internet Research 16 (12), e3545, 2014 | 17 | 2014 |
Agent-Oriented Smart Factory (AOSF): an mas based framework for SMEs under industry 4.0 F Ud Din, F Henskens, D Paul, M Wallis Agents and Multi-Agent Systems: Technologies and Applications 2018 …, 2019 | 16 | 2019 |
A generic platform for the collation and sharing of web survey data D Paul, M Wallis, F Henskens, K Nolan Proceedings of the 9th WEBIST, Aachen, Germany, 8-10, 2013 | 16 | 2013 |
Erratum to: A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers BH Abed-alguni, SK Chalup, FA Henskens, DJ Paul Vietnam Journal of Computer Science 2 (4), 227-227, 2015 | 15 | 2015 |
Merger and acquisition pricing using agent based modelling N Agarwal, P Kwan, D Paul Economics, management, and financial markets, 2018 | 13 | 2018 |
Computational complexity D Paul | 12 | 2012 |
Aosr 2.0: a novel approach and thorough validation of an agent-oriented storage and retrieval WMS planner for SMES, under industry 4.0 F Ud Din, D Paul, J Ryan, F Henskens, M Wallis Future Internet 13 (6), 155, 2021 | 11 | 2021 |
Formalisation of problem and domain definition for agent oriented smart factory (AOSF) FU Din, F Henskens, D Paul, M Wallis 2018 IEEE Region Ten Symposium (Tensymp), 265-270, 2018 | 8 | 2018 |
Analysis of industrial control system software to detect semantic clones HK Jnanamurthy, R Jetley, F Henskens, D Paul, M Wallis, SD Sudarsan 2019 IEEE International Conference on Industrial Technology (ICIT), 773-779, 2019 | 7 | 2019 |
Women's Rugby League: Positional Groups and Peak Locomotor Demands C Cummins, G Charlton, D Paul, K Shorter, S Buxton, J Caia, A Murphy Frontiers in Sports and Active Living 3, 648126, 2021 | 6 | 2021 |
Transaction Support for Interactive Web Applications. DJ Paul, M Wallis, F Henskens, M Hannaford WEBIST (1), 269-272, 2008 | 6 | 2008 |
How can medical educators be good ancestors? A McKivett, D Paul Medical Education 56 (11), 1056-1058, 2022 | 5 | 2022 |