By Professor Hussein Abbass

Preprints

Dam T; Swami N; Anavatti SG; Abbass HA, 2021, Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification, http://dx.doi.org/10.48550/arxiv.2111.04019

Simpson J; Oosthuizen R; Sawah SE; Abbass H, 2021, Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Control, http://arxiv.org/abs/2109.06874v1

Dam T; Ferdaus MM; Anavatti SG; Jayavelu S; Abbass HA, 2021, Does Adversarial Oversampling Help us?, http://dx.doi.org/10.48550/arxiv.2108.10697

Dam T; Anavatti SG; Abbass HA, 2021, Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces, http://arxiv.org/abs/2107.12706v2

Hepworth A; yaxley K; Baxter D; Joiner K; Abbass H, 2020, Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures, http://dx.doi.org/10.36227/techrxiv.12834002.v2

Dam T; Anavatti SG; Abbass HA, 2020, Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification, http://dx.doi.org/10.48550/arxiv.2009.13037

Nguyen HT; Garratt M; Bui LT; Abbass H, 2020, Disturbances in Influence of a Shepherding Agent is More Impactful than Sensorial Noise During Swarm Guidance, http://dx.doi.org/10.1109/MCI.2020.2998307

Elsayed S; Singh H; Debie E; Perry A; Campbell B; Hunjet R; Abbass H, 2020, Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution, http://arxiv.org/abs/2008.12639v1

Nguyen TD; Kasmarik KE; Abbass HA, 2020, Q-Learning with Differential Entropy of Q-Tables, http://arxiv.org/abs/2006.14795v1

Nguyen HT; Nguyen TD; Tran VP; Garratt M; Kasmarik K; Anavatti S; Barlow M; Abbass HA, 2020, Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding, http://arxiv.org/abs/2004.11543v4

Nguyen DT; Kasmarik KE; Abbass HA, 2020, Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees, http://arxiv.org/abs/2003.04675v4

Abbass HA; Elsawah S; Petraki E; Hunjet R, 2020, Machine Education: Designing semantically ordered and ontologically guided modular neural networks, http://arxiv.org/abs/2002.03841v1

Long NK; Sammut K; Sgarioto D; Garratt M; Abbass H, 2019, A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach, http://arxiv.org/abs/1912.07796v4

Abbass H; Harvey J; Yaxley K, 2018, Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents, http://dx.doi.org/10.48550/arxiv.1812.08960

Nguyen H; Tran V; Nguyen T; Garratt M; Kasmarik K; Barlow M; Anavatti S; Abbass H, 2018, Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction, http://dx.doi.org/10.48550/arxiv.1810.04344

Hussein A; Ghignone L; Nguyen T; Salimi N; Nguyen H; Wang M; Abbass HA, 2018, Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey, http://dx.doi.org/10.48550/arxiv.1803.03093

Abbass H; Greenwood G; Petraki E, 2018, The N-Player Trust Game and its Replicator Dynamics, http://dx.doi.org/10.48550/arxiv.1803.02443

Tang J; Abbass HA, 2018, Behavioral Learning of Aircraft Landing Sequencing Using a Society of Probabilistic Finite State Machines, http://dx.doi.org/10.48550/arxiv.1802.10203

Tang J; Leu G; Abbass H, 2018, Networking the Boids is More Robust Against Adversarial Learning, http://dx.doi.org/10.48550/arxiv.1802.10206

Leu G; Abbass H, 2018, A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents, http://dx.doi.org/10.48550/arxiv.1802.09669

Leu G; Abbass H, 2018, Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition, http://dx.doi.org/10.48550/arxiv.1802.09660

Leu G; Tang J; Abbass H, 2018, On the role of working memory in trading-off skills and situation awareness in Sudoku, http://dx.doi.org/10.48550/arxiv.1802.10079

Tang J; Petraki E; Abbass H, 2018, Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model, http://dx.doi.org/10.48550/arxiv.1802.09647

Chica M; Chiong R; Ramasco J; Abbass H, 2017, Effects of update rules on networked N-player trust game dynamics, http://dx.doi.org/10.48550/arxiv.1712.06875

Abbass HA; Leu G; Merrick K, 2016, A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data, http://dx.doi.org/10.48550/arxiv.1604.00921

Iorio AW; Abbass HA; Gaidow S; Bender A, 2014, Visualizing Cognitive Moves for Assessing Information Perception Biases in Decision Making, http://dx.doi.org/10.48550/arxiv.1401.7193

Whitacre JM; Bender A; Baker S; Fan Q; Sarker RA; Abbass H, 2009, Network Topology and Time Criticality Effects in the Modularised Fleet Mix Problem, http://dx.doi.org/10.48550/arxiv.0907.0597

Wesolkowski S; Mazurek M; Whitacre JM; Bender A; Abbass H, 2009, Robustness and Adaptiveness Analysis of Future Fleets, http://dx.doi.org/10.48550/arxiv.0907.0598

Abbass H; Bender A; Dam H; Baker S; Whitacre JM; Sarker R, 2009, Computational Scenario-based Capability Planning, http://dx.doi.org/10.48550/arxiv.0907.0520

Whitacre JM; Abbass HA; Sarker R; Bender A; Baker S, 2009, Strategic Positioning in Tactical Scenario Planning, http://dx.doi.org/10.48550/arxiv.0907.0340

Vahidnia S; Abbasi A; Abbass H, A Temporal Ontology Guided Clustering Methodology with a Case Study on Detection and Tracking of Artificial Intelligence Topics, http://dx.doi.org/10.2139/ssrn.4200134

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