Why did TD-Gammon Work? - Jordan B. Pollack; Alan D. Blair (NIPS, 1996)

Quasi-Orthogonal Maps for Dynamic Language Recognition. - Alan D. Blair; Jordan B. Pollack (ICONIP (2), 1997)

Analysis of Dynamical Recognizers. - Alan D. Blair; Jordan B. Pollack (Neural Comput., 1997)

Co-evolution, Determinism and Robustness. - Alan D. Blair; Elizabeth Sklar; Pablo Funes (SEAL, 1998)

A Paradox of Neural Encoders and Decoders or Why Don't We Talk Backwards? - Bradley Tonkes; Alan D. Blair; Janet Wiles (SEAL, 1998)

Loanword formation: a neural network approach. - Alan D. Blair; John Ingram (SIGPHON@COLING/ACL, 1998)

Co-Evolution in the Successful Learning of Backgammon Strategy. - Jordan B. Pollack; Alan D. Blair (Mach. Learn., 1998)

Exploring evolutionary learning in a simulated hockey environment. - Alan D. Blair; Elizabeth Sklar (CEC, 1999)

Evolving Learnable Languages. - Bradley Tonkes; Alan D. Blair; Janet Wiles (NIPS, 1999)

RoboMutts. - Robert Sim; Paul Russo; Andrew Grahm; Andrew Blair; Nick Barnes; Alan Blair 001 (RoboCup, 2000)

Getting the Job Done in a Hostile Environment. - Steven Versteeg; Alan D. Blair (Australian Joint Conference on Artificial Intelligence, 2001)

RoboMutts++. - Kate Clarke; Stephen Dempster; Ian Falcao; Bronwen Jones; Daniel Rudolph; Alan Blair 001; Chris McCarthy; Dariusz Walter; Nick Barnes (RoboCup, 2001)

Exploitation and peacekeeping: introducing more sophisticated interactions to the iterated prisoner's dilemma. - Toby Ord; Alan Blair 001 (IEEE Congress on Evolutionary Computation, 2002)

Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages. - Stephan K. Chalup; Alan D. Blair (ICGI, 2002)

Towards an efficient optimal trajectory planner for multiple mobile robots. - Jason Thomas; Alan Blair 001; Nick Barnes (IROS, 2003)

Learning to Predict the Phonological Structure of English Loanwords in Japanese. - Alan D. Blair; John Ingram (Appl. Intell., 2003)

Learning the Dynamics of Embedded Clauses. - Mikael Bodén; Alan D. Blair (Appl. Intell., 2003)

Incremental training of first order recurrent neural networks to predict a context-sensitive language. - Stephan K. Chalup; Alan D. Blair (Neural Networks, 2003)

A structure preserving crossover in grammatical evolution. - Robin Harper; Alan Blair 001 (Congress on Evolutionary Computation, 2005)

Distinctness Analysis on Natural Landmark Descriptors. - Kai-Ming Kiang; Richard Willgoss; Alan Blair 001 (FSR, 2005)

A Self-Selecting Crossover Operator. - Robin Harper; Alan Blair 001 (IEEE Congress on Evolutionary Computation, 2006)

Dynamically Defined Functions In Grammatical Evolution. - Robin Harper; Alan Blair 001 (IEEE Congress on Evolutionary Computation, 2006)

An Improved Minibrain That Learns Through Both Positive and Negative Feedback. - Chee Wee Phua; Alan Blair 001 (IJCNN, 2006)

Effective Use of Transposition Tables in Stochastic Game Tree Search. - Joel Veness; Alan Blair 001 (CIG, 2007)

Decentralised data fusion with exponentials of polynomials. - Bradley Tonkes; Alan D. Blair (IROS, 2007)

Learning position evaluation for Go with Internal Symmetry Networks. - Alan Blair 001 (CIG, 2008)

Training of recurrent Internal Symmetry Networks by backpropagation. - Alan Blair 001; Guanzhong Li (IJCNN, 2009)

Bootstrapping from Game Tree Search. - Joel Veness; David Silver; William T. B. Uther; Alan Blair 001 (NIPS, 2009)

Crafty dynamic vendor pricing in computer role-playing games. - Dominic Gurto; Malcolm Ryan 001; Alan Blair 001 (FDG, 2011)

Evolving Plastic Neural Networks for Online Learning: Review and Future Directions. - Oliver J. Coleman; Alan D. Blair (Australasian Conference on Artificial Intelligence, 2012)

An Abstract Deep Network for Image Classification. - Anthony Knittel; Alan D. Blair (Australasian Conference on Artificial Intelligence, 2012)

Models of Brains: What Should We Borrow From Biology? - Oliver J. Coleman; Alan D. Blair (AAAI Fall Symposia, 2013)

Learning the Caesar and Vigenere Cipher by hierarchical evolutionary re-combination. - Alan Blair 001 (IEEE Congress on Evolutionary Computation, 2013)

Incremental evolution of HERCL programs for robust control. - Alan Blair 001 (GECCO (Companion), 2014)

Automated generation of environments to test the general learning capabilities of AI agents. - Oliver J. Coleman; Alan D. Blair; Jeff Clune (GECCO, 2014)

Coarse and fine learning in deep networks. - Anthony Knittel; Alan D. Blair (IJCNN, 2014)

Sparse, guided feature connections in an Abstract Deep Network. - Anthony Knittel; Alan D. Blair (CoRR, 2014)

Transgenic Evolution for Classification Tasks with HERCL. - Alan D. Blair (ACALCI, 2015)

Complexity-based speciation and genotype representation for neuroevolution. - Alexander Hadjiivanov; Alan Blair 001 (CEC, 2016)

Learning a multi-player chess game with TreeStrap. - Diogo Real; Alan Blair 001 (CEC, 2016)

Parallel Hierarchical Evolution of String Library Functions. - Jacob Soderlund; Darwin Vickers; Alan Blair 001 (PPSN, 2016)

Co-Evolving Line Drawings with Hierarchical Evolution. - Darwin Vickers; Jacob Soderlund; Alan Blair 001 (ACALCI, 2017)

Adversarial Image Generation Using Evolution and Deep Learning. - Jacob Soderlund; Alan Blair 001 (CEC, 2018)

Epigenetic evolution of deep convolutional models. - Alexander Hadjiivanov; Alan Blair 001 (CEC, 2019)

Adversarial Evolution and Deep Learning - How Does an Artist Play with Our Visual System? - Alan Blair 001 (EvoMUSART, 2019)

Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal. - Alex Long; Joel Mason; Alan Blair 001; Wei Wang (CoRR, 2019)

PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites. - Rizka Purwanto; Arindam Pal 001; Alan Blair 001; Sanjay Jha 001 (CNS, 2020)

A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network. - Sankaran Iyer; Arcot Sowmya; Alan Blair 001; Christopher White; Laughlin Dawes; Daniel Aaron Moses (ISBI, 2020)

Man versus Machine: AutoML and Human Experts' Role in Phishing Detection. - Rizka Purwanto; Arindam Pal 001; Alan Blair 001; Sanjay Jha 001 (CoRR, 2021)

Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning. - Sankaran Iyer; Alan Blair 001; Laughlin Dawes; Daniel Aaron Moses; Christopher White; Arcot Sowmya (CoRR, 2021)

A Multi-Dimensional, Cross-Domain and Hierarchy-Aware Neural Architecture for ISO-Standard Dialogue Act Tagging. - Stefano Mezza; Wayne Wobcke; Alan Blair 001 (COLING, 2022)

Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting. - Sankaran Iyer; Alan Blair 001; Christopher White; Laughlin Dawes; Daniel Aaron Moses; Arcot Sowmya (ICPR, 2022)

PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool. - Rizka Purwanto; Arindam Pal 001; Alan Blair 001; Sanjay K. Jha (CoRR, 2022)

PhishSim: Aiding Phishing Website Detection With a Feature-Free Tool. - Rizka Widyarini Purwanto; Arindam Pal 001; Alan Blair 001; Sanjay Jha 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images. - Md Akizur Rahman; Sonit Singh; Kuruparan Shanmugalingam; Sankaran Iyer; Alan Blair 001; Praveen Ravindran; Arcot Sowmya (DICTA, 2023)

Sigmoid Colon Localisation for Acute Diverticulitis Disease Using Sigloc 3D Convolution Neural Network. - Md Akizur Rahman; Sonit Singh; Sankaran Iyer; Alan Blair 001; Tae Jun Kim; Praveen Ravindran; Arcot Sowmya (MICAD, 2024)

Multi-condition Multi-objective Airfoil Shape Optimisation Using Deep Reinforcement Learning Compared to Genetic Algorithms. - Dasun Shalila Balasooriya; Alan Blair 001; Craig A. Wheeler; Stephan K. Chalup (OL2A (2), 2024)

Parallel TD3 for Policy Gradient-Based Multi-condition Multi-objective Optimisation. - Dasun Shalila Balasooriya; Alan Blair 001; Ben Wilks; Craig A. Wheeler; Tahir Jauhar; Stephan K. Chalup (EMO (2), 2025)