Select Publications

Conference Papers

Khattab N; Kasmarik K; Abpeikar S; Garratt M, 2023, ''Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video Using a Deep Neural Network', Brisbane, Australia, presented at International Joint Conference on Neural Networks, Brisbane, Australia

Abpeikar S; Kasmarik K; Garratt M, 2022, 'Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals', Perth, Australia, presented at Australasian Joint Conference on Artificial Intelligence, Perth, Australia

Jeston-Fenton L; Abpeikar S; Kasmarik K, 2022, 'Visualisation of Swarm Metrics on a Handheld Device for Human-Swarm Interaction', Vienna, Austria, presented at 26th International Conference on Information Visualisation IV2022, Vienna, Austria

Khan M; Kasmarik K; Garratt M, 2022, 'Decentralizing Self-organizing Maps', Sydney, Australia, presented at AJCAI, Sydney, Australia

Samarasinghe Widana Arachchige D; Barlow M; Lakshika E; Kasmarik K, 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, ACM, Japan, pp. 175 - 182, presented at International Conference on Intelligent Virtual Agents, IVA 2021, Japan, 14 September 2021, http://dx.doi.org/10.1145/3472306.3478337

Yang S; Barlow M; Lakshika E; Kasmarik K, 2021, 'Interaction-Based Trust Evaluation in a Team of Agents Using a Determination of Trust Model', Orlando, Florida, USA, presented at IEEE Symposium Series on Computational Intelligence, Orlando, Florida, USA

Kasmarik K; Abpeikar S; Khan MM; Khattab N; Barlow M; Garratt M, 2020, 'Autonomous Recognition of Collective Behaviour in Robot Swarms', Canberra, Australia, presented at 33rd Australasian Joint Conference on Artificial Intelligence, Canberra, Australia, 29 November 2020

Wannigamage D; Barlow M; Lakshika E; Kasmarik K, 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), Springer International Publishing, pp. 458 - 469, http://dx.doi.org/10.1007/978-3-030-64984-5_36

Pham V; Lokan C; Kasmarik K, 2020, 'A better set of object–oriented design metrics for within-project defect prediction', Online, presented at EASE2020, Online

Ali I; Essam D; Kasmarik K, 2020, 'Differential Evolution Algorithm for Multiple Inter-dependent Components Traveling Thief Problem', Glasgow, presented at IEEE CEC, Glasgow

Nguyen T; Liu J; Nguyen H; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding', Glasgow, presented at IJCNN 2020, Glasgow

Nguyen H; Nguyen T; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass H, 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 International Conference on Neural Information Processing, Sydney, 12 December 2019 - 15 December 2019, http://dx.doi.org/10.1007/978-3-030-36708-4_54

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Abbass H; Garratt M, 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 International Conference on Neural Information Processing, Sydney, 12 December 2019, http://dx.doi.org/10.1007/978-3-030-36808-1_58

Ali IM; Essam D; Kasmarik K, 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 Proceedings of the 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria, September 17-19, 2019, Vienna, Austria, 17 September 2019 - 19 September 2019, http://dx.doi.org/10.5220/0007940001230130

El-Fiqi H; Kasmarik K; Bezerianos A; Tan KC; Abbass H, 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 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, Hungary, 14 July 2019 - 19 July 2019, http://dx.doi.org/10.1109/IJCNN.2019.8852101

Vihanga D; Barlow M; Lakshika E; Kasmarik K, 2019, 'Weekly Seasonal Player Population Patterns in Online Games: A Time Series Clustering Approach', in IEEE Conference on Games, London, UK, presented at IEEE Conference on Games, London, UK

Boyson T; Kasmarik K; Wilson K, 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 29th Australasian Association for Engineering Education Conference 2018, Hamilton, New Zealand, 09 December 2018 - 12 December 2018, https://s3-us-west-2.amazonaws.com/18aaee/proceedings/AAEE18_Proceedings_5Dec.pdf

El-Fiqi H; Wang M; Salimi N; Kasmarik KE; Barlow M; Abbass H, 2018, 'Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential', in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, pp. 1062 - 1069, presented at IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, 07 October 2018 - 10 October 2018, http://dx.doi.org/10.1109/SMC.2018.00188

Khan M; Kasmarik KE; Barlow M, 2018, 'Intrinsically Motivated Agent Behavior in a Swarm', in Intrinsically Motivated Agent Behavior in a Swarm, IEEE ICDL-Epirob, Tokyo, Japan, presented at IEEE ICDL-Epirob, Tokyo, Japan, 16 September 2018 - 20 September 2018

Dhakan P; Kasmarik KE; Siddique N; Rano I, 2018, 'Modular Continuous Learning Framework', in Modular Continuous Learning Framework, IEEE ICDL-Epirob, Tokyo, Japan, presented at IEEE ICDL-Epirob, Tokyo, Japan, 16 September 2018 - 20 September 2018

Ali I; Kasmarik KE; Essam D, 2018, 'An Efficient Differential Evolution Algorithm for solving 0-1 Knapsack Problems', in 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings, IEEE CEC, Brazil, presented at IEEE CEC, Brazil, - , http://dx.doi.org/10.1109/CEC.2018.8477916

Nguyen T; Nguyen H; Garratt M; Tran P; Kasmarik K; Barlow M; Anavatti S; Abbass H, 2018, 'Apprenticeship Bootstrapping via Deep Learning with a Safety Net for UAV-UGV Interaction', in AAAI Fall Symposia Papers, AAAI, Stanford USA, presented at Fifth AAAI Fall Symposium Series on Artificial Intelligence for Human-Robot Interaction, Stanford USA, - , https://aaai.org/Library/Symposia/symposia-library.php

Samarasinghe Widana Arachchige D; Lakshika E; Barlow M; Kasmarik KE, 2018, 'Automatic Synthesis of Swarm Behavioural Rules from their Atomic Components', in GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference, Kyoto Japan, pp. 133 - 140, presented at GECCO 2018, Kyoto Japan, - , http://dx.doi.org/10.1145/3205455.3205546

Nguyen T; Nguyen H; Debie E; Kasmarik K; Garratt M; Abbass H, 2018, 'Swarm Q-Learning With Knowledge Sharing Within Environments for Formation Control', in Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, Brazil, presented at International Joint Conference on Neural Networks, Brazil, - , http://dx.doi.org/10.1109/IJCNN.2018.8489674

Towers I; Sidhu H; Jovanoski Z; Merrick K; Barlow M, 2017, 'An N-player Trust game: comparison of replicator and logit dynamics', in An N-player Trust game: comparison of replicator and logit dynamics, The 22nd International Congress on Modelling and Simulation, Hobart, Tasmania, presented at The 22nd International Congress on Modelling and Simulation, Hobart, Tasmania, 03 December 2017 - 08 December 2017, http://www.mssanz.org.au/modsim2017/Keynote/towers.pdf

Leu G; Tang J; Lakshika E; Kasmarik K; Barlow M, 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, pp. 1 - 6, presented at The 4th Asian Conference on Defence Technology, Tokyo, 29 November 2017 - 01 December 2017, http://dx.doi.org/10.1109/ACDTJ.2017.8259585

Yang Z; Merrick K; Abbass H; Jin L, 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

Bowley S; Merrick K, 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 Australasian Joint Conference on Artificial Intelligence, Melbourne, Australia, - , http://dx.doi.org/10.1007/978-3-319-63004-5_13

Yang Z; Merrick K; Abbass H, 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 International Joint Conference on Artificial Intelligence, Melbourne Australia, -

Leu G; Kasmarik KE; Tang J; Lakshika E; Barlow M, 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 NIPS’17 Workshop on Teaching Machines, Robots, and Humans, USA, -

Liu X; Merrick K; Abbass H, 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 IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 December 2016 - 09 December 2016, http://dx.doi.org/10.1109/SSCI.2016.7850036

Abdelfattah S; Merrick K; Abbass H, 2016, 'Eye Movements as Information Markers in EEG Data', in IEEE Symposium Series on Computational Intelligence Proceedings, Athens, Greece, presented at IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 December 2016 - 09 December 2016, http://dx.doi.org/10.1109/SSCI.2016.7850043

Merrick K; Hardhienata M; Shafi K; Hu J, 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 IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 December 2016 - 09 December 2016, http://dx.doi.org/10.1109/SSCI.2016.7850035

Abdelfattah S; Merrick K; Abbass H, 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 Human Factors and Ergonomics Society International Meeting, Washington DC, 19 September 2016 - 23 September 2016, http://dx.doi.org/10.1177/1541931213601005

Harvey J; Merrick K; Abbass H, 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 7th International Conference on Swarm Intelligence (ICSI), INDONESIA, Bali, 25 June 2016 - 30 June 2016, http://dx.doi.org/10.1007/978-3-319-41000-5_12

Wang M; Abbass H; Hu J; Merrick K, 2016, 'Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), China, pp. 90 - 101, presented at The 8th International Conference on Brain-Inspired Cognitive Systems, China, - , http://dx.doi.org/10.1007/978-3-319-49685-6_9

Harvey J; Merrick K; Abbass H, 2016, 'Quantifying Swarming Behaviour', in Advances in Swarm Intelligence, Indonesia, pp. 119 - 130, presented at The Seventh International Conference on Swarm Intelligence, Indonesia, - , http://dx.doi.org/10.1007/978-3-319-41000-5

Klyne A; Merrick K, 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 The 28th Australasian Joint Conference on Artificial Intelligence, Canberra, Australia, 01 December 2015 - 04 December 2015, http://dx.doi.org/10.1007/978-3-319-26350-2_28

Maher ML; Merrick K; Wang B, 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 Advances in Cognitive Systems Workshop on Goal Reasoning, B, 28 May 2015 - 31 May 2015

Swiechowski M; Merrick KE; Mandziuk J; Abbass H, 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 Eighth International Conference on Advances in Computer-Human Interactions, Lisbon, Portugal, 22 February 2015 - 27 February 2015

Wang B; Merrick K; Abbass HA, 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 ., ., 05 February 2015 - 07 February 2015

Hardhienata M; Merrick KE; Ugrinovskii V, 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 IEEE Symposium on Computational Intelligence for Human-like Intelligence, Florida, 09 December 2014 - 14 December 2014, http://dx.doi.org/10.1109/CIHLI.2014.7013387

Merrick KE, 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 IEEE Symposium on Computational Intelligence for Human-like Intelligence, Florida, 09 December 2014 - 14 December 2014, http://dx.doi.org/10.1109/CIHLI.2014.7013385

Merrick KE; Ismail H; Barlow M, 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 IEEE Symposium on Computational Intelligence for Human-like Intelligence, Florida, 09 December 2014 - 14 December 2014, http://dx.doi.org/10.1109/CIHLI.2014.7013386

Hardhienata MKD; Ugrinovskii V; Merrick KE, 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

Debie E; Shafi K; Merrick K; Lokan CJ, 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 IEEE Congress on Evolutionary Computation, Beijing, China, 06 July 2014 - 11 July 2014, http://dx.doi.org/10.1109/CEC.2014.6900623

Debie E; Shafi K; Lokan CJ; Merrick K, 2013, 'Investigating Differential Evolution Based Rule Discovery in Learning Classifier Systems', in Brest J; Das S; Neri F; Suganthan PN (eds.), Proceedings of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, Singapore, pp. 77 - 84, presented at 2013 IEEE Symposium on Differential Evolution, Singapore, 16 April 2013 - 19 April 2013, http://dx.doi.org/10.1109/SDE.2013.6601445

debie E; shafi K; Lokan CJ; merrick K, 2013, 'Reduct Based Ensemble of Learning Classifier System for Real-valued Classification Problems', in Pal NR; Yao X; Suganthan PN (eds.), Proceedings 2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL 2013), Singapore, pp. 66 - 73, presented at 2013 IEEE Symposium on Computational Intelligence and Ensemble Learning, Singapore, 16 April 2013 - 19 April 2013, http://dx.doi.org/10.1109/CIEL.2013.6613142

Tian B; Merrick K; Yi S; Hu J, 2013, 'A Hierarchical PeA-based Anomaly Detection Model', in Proceedings 2013 International Conference on Computing, Networking and Communications, Communications and Information Security Symposium, IEEE, San Diego, USA, pp. 621 - 625, presented at 2013 International Conference on Computing, Networking and Communications, Communications and Information Security Symposium, San Diego, USA, 28 January 2013 - 31 January 2013, http://dx.doi.org/10.1109/ICCNC.2013.6504158

Wang B; Merrick K; Abbass HA, 2012, 'Developing Attention Focus Metrics for Autonomous Hypothesis Generation in Data Mining', in Lecture Notes in Computer Science (LNCS), Springer, pp. 290 - 299, presented at The Ninth International Conference on Simulated Evolution and Learning, 16 December 2012 - 19 December 2012, http://dx.doi.org/10.1007/978-3-642-34859-4_29


Back to profile page