ORCID as entered in ROS
https://orcid.org/0000-0001-7187-0474
Select Publications
Conference Papers
, 2023, 'Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation', in Proceedings of the 15th International Joint Conference on Computational Intelligence, SCITEPRESS - Science and Technology Publications, presented at
, 2023, 'Automatic Multi-Class Collective Motion Recognition Using a Decision Forest Extracted from Neural Networks', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223653
, 2023, ''Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video Using a Deep Neural Network', Brisbane, Australia, presented at
, 2023, 'Generating Collective Motion Behaviour Libraries using Developmental Evolution', Brisbane, presented at
, 2022, 'Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals', Perth, Australia, presented at
, 2022, 'Visualisation of Swarm Metrics on a Handheld Device for Human-Swarm Interaction', Vienna, Austria, presented at
, 2022, 'Decentralizing Self-organizing Maps', Sydney, Australia, presented at
, 2021, 'Task Allocation in Multi-Agent Systems with Grammar-Based Evolution', in Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents, IVA 2021, Japan, pp. 175 - 182, presented at
, 2021, 'Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model', Orlando, Florida, USA, presented at
, 2021, 'Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model.', in SSCI, IEEE, pp. 1 - 9, https://doi.org/10.1109/SSCI50451.2021
, 2020, 'Autonomous Recognition of Collective Behaviour in Robot Swarms', Canberra, Australia, presented at
, 2020, 'Analysis and Prediction of Player Population Changes in Digital Games During the COVID-19 Pandemic', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 458 - 469, http://dx.doi.org/10.1007/978-3-030-64984-5_36
, 2020, 'A better set of object–oriented design metrics for within-project defect prediction', Online, presented at
, 2020, 'Differential Evolution Algorithm for Multiple Inter-dependent Components Traveling Thief Problem', Glasgow, presented at
, 2020, 'Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding', Glasgow, presented at
, 2019, 'A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms', in Gedeon T; Wong KW; Lee M (eds.), Lecture Notes in Computer Science. Neural Information Processing. Proceedings, Part 1, Springer, Cham, Sydney, pp. 658 - 669, presented at
, 2019, 'Encephalographic Assessment of Situation
Awareness in Teleoperation of Human-Swarm
Teaming', in Neural information processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings. Part IV, Sydney, presented at
, 2019, 'New designs of k-means clustering and crossover operator for solving traveling salesman problems using evolutionary algorithms', in IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, Vienna, Austria, pp. 123 - 130, presented at
, 2019, 'Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery', in Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., Budapest, Hungary, Hungary, presented at
, 2019, 'Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach', in IEEE Conference on Games, London, UK, presented at
, 2018, 'Evaluating the Impact of the YoWIE Summer School on Girls’
Perception of Engineering', in Proceedings of the 29th Australasian Association for Engineering Education Conference, 2018, Hamilton, New Zealand, presented at
, 2018, 'Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential', Miyazaki, Japan, presented at
, 2018, 'Intrinsically Motivated Agent Behavior in a Swarm', Tokyo, Japan, presented at
, 2018, 'Modular Continuous Learning Framework', Tokyo, Japan, presented at
, 2018, 'An Efficient Differential Evolution Algorithm for solving 0-1 Knapsack Problems', Brazil, presented at
, 2018, 'Apprenticeship Bootstrapping via Deep Learning with a Safety Net for UAV-UGV Interaction', in AAAI Fall Symposia Papers, AAAI, Stanford USA, presented at
, 2018, 'Automatic Synthesis of Swarm Behavioural Rules from their Atomic Components', Kyoto Japan, presented at
, 2018, 'Swarm Q-Learning With Knowledge Sharing Within Environments for Formation Control', Brazil, presented at
, 2017, 'An N-player Trust game: comparison of replicator and logit dynamics', Hobart, Tasmania, presented at
, 2017, 'Curriculum optimisation via evolutionary computation, for a neural learner robust to categorical adversarial samples', in Defence Technology - Japan (ACDT), 2017 Fourth Asian Conference on, IEEE Xplore, Tokyo, presented at
, 2017, 'Multi-task deep reinforcement learning for continuous action control', in IJCAI International Joint Conference on Artificial Intelligence, pp. 3301 - 3307, http://dx.doi.org/10.24963/ijcai.2017/461
, 2017, 'A ‘Breadcrumbs’ Model for Controlling an Intrinsically Motivated Swarm using a Handheld Device', in Lecture Notes in Computer Science, Springer, Melbourne, Australia, pp. 157 - 168, presented at
, 2017, 'Handling Multi-Task Learning with Deep Reinforcement Learning', in Handling Multi-Task Learning with Deep Reinforcement Learning, International Joint Conference on Artificial Intelligence, Melbourne Australia, presented at
, 2017, 'Machine Education - the way forward for achieving trust-enabled machine agents', in Machine Education - the way forward for achieving trust-enabled machine agents, NIPS’17 Workshop on Teaching Machines, Robots, and Humans, USA, presented at
, 2016, 'Designing Artificial Agents to Detect the Motive Profile of Users in Virtual Worlds and Games', in Computational Intelligence (SSCI), 2016 IEEE Symposium Series on, Athens, Greece, presented at
, 2016, 'Eye Movements as Information Markers in EEG Data', in IEEE Symposium Series on Computational Intelligence Proceedings, Athens, Greece, presented at
, 2016, 'Using Game Theory with Intrinsic Motivation to Examine Anti-Hacking Policies for Autonomous Systems', in Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, presented at
, 2016, 'Theta-Beta Ratios Are Prominent EEG Features for Visual Tracking Tasks', in Proceedings of the Human Factors and Ergonomics Society 2016 Annual Meeting, Washington DC, pp. 21 - 25, presented at
, 2016, 'Quantifying Swarming Behaviour', in Tan Y; Shi Y; Niu B (eds.), ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT I, SPRINGER INT PUBLISHING AG, INDONESIA, Bali, pp. 119 - 130, presented at
, 2016, 'Detecting Rare Visual and Auditory Events
from EEG Using Pairwise-Comparison Neural
Networks', China, presented at
, 2016, 'Quantifying Swarming Behaviour', in Advances in Swarm Intelligence, Indonesia, pp. 119 - 130, presented at
, 2015, 'Task Allocation Using Particle Swarm Optimisation and Anomaly Detection to Generate a Dynamic Fitness Function,', in AI 2015: Advances in Artificial Intelligence, Canberra, Australia, pp. 317 - 329, presented at
, 2015, 'Reasoning and Making Sense of Data in the Absence of Goals', in Proceedings of the Third Annual Conference on Advances in Cognitive Systems, Advances in Cognitive Systems Workshop on Goal Reasoning, B, presented at
, 2015, 'Human-Machine Cooperation in General Game Playing', in Eighth International Conference on Advances in Computer-Human Interactions, Lisbon, Portugal, pp. 96 - 100, presented at
, 2015, 'Autonomous hypothesis generation as an environment learning mechanism for agent design', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ., pp. 210 - 225, presented at
, 2014, 'Effective Motive Profiles and Swarm Compositions for Motivated Particle Swarm Optimisation Applied to Task Allocation', in Proceedings of the IEEE Symposium on Computational Intelligence for Human-like Intelligence, Florida, presented at
, 2014, 'Evolution of Intrinsic Motives in a Multi-Player Common Pool Resource Game', in Proceedings of the IEEE Symposium on Computational Intelligence for Human-like Intelligence, Florida, presented at
, 2014, 'Self-Motivated Learning of Achievement and Maintenance Tasks for Non-Player Characters in Computer Games', in Proceedings of the IEEE Symposium on Computational Intelligence for Human-like Intelligence, Florida, presented at
, 2014, 'Task allocation under communication constraints using motivated particle swarm optimization', in Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, pp. 3135 - 3142, http://dx.doi.org/10.1109/CEC.2014.6900560
, 2014, 'An Online Evolutionary Rule Learning Algorithm with Incremental Attribute Discretization', in 2014 IEEE Congress on Evolutionary Computation (CEC), IEEE, Beijing, China, pp. 1116 - 1123, presented at
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https://orcid.org/0000-0001-7187-0474