Select Publications

Preprints

Dam T; Swami N; Anavatti SG; Abbass HA, 2021, Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification

Dam T; Ferdaus MM; Anavatti SG; Jayavelu S; Abbass HA, 2021, Does Adversarial Oversampling Help us?

Dam T; Anavatti SG; Abbass HA, 2021, Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces

Dam T; Anavatti SG; Abbass HA, 2020, Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification

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

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

Nguyen TD; Kasmarik KE; Abbass HA, 2020, Q-Learning with Differential Entropy of Q-Tables

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

Nguyen DT; Kasmarik KE; Abbass HA, 2020, Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees

Abbass HA; Elsawah S; Petraki E; Hunjet R, 2020, Machine Education: Designing semantically ordered and ontologically guided modular neural networks

Long NK; Sammut K; Sgarioto D; Garratt M; Abbass H, 2019, A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach

Abbass H; Harvey J; Yaxley K, 2018, Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents

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

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

Abbass H; Greenwood G; Petraki E, 2018, The N-Player Trust Game and its Replicator Dynamics

Tang J; Abbass HA, 2018, Behavioral Learning of Aircraft Landing Sequencing Using a Society of Probabilistic Finite State Machines

Tang J; Leu G; Abbass H, 2018, Networking the Boids is More Robust Against Adversarial Learning

Leu G; Abbass H, 2018, A Multi-Disciplinary Review of Knowledge Acquisition Methods: From Human to Autonomous Eliciting Agents

Leu G; Abbass H, 2018, Computational Red Teaming in a Sudoku Solving Context: Neural Network Based Skill Representation and Acquisition

Leu G; Tang J; Abbass H, 2018, On the role of working memory in trading-off skills and situation awareness in Sudoku

Tang J; Petraki E; Abbass H, 2018, Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model

Chica M; Chiong R; Ramasco J; Abbass H, 2017, Effects of update rules on networked N-player trust game dynamics

Abbass HA; Leu G; Merrick K, 2016, A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data

Iorio AW; Abbass HA; Gaidow S; Bender A, 2014, Visualizing Cognitive Moves for Assessing Information Perception Biases in Decision Making

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

Wesolkowski S; Mazurek M; Whitacre JM; Bender A; Abbass H, 2009, Robustness and Adaptiveness Analysis of Future Fleets

Abbass H; Bender A; Dam H; Baker S; Whitacre JM; Sarker R, 2009, Computational Scenario-based Capability Planning

Whitacre JM; Abbass HA; Sarker R; Bender A; Baker S, 2009, Strategic Positioning in Tactical Scenario Planning


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