By Dr Alan David Blair

Books

Chalup S; Blair A; Randall M, 2015, Preface

Book Chapters

Versteeg S; Blair A, 2001, 'Getting the job done in a hostile environment', in , pp. 507 - 518, http://dx.doi.org/10.1007/3-540-45656-2_44

Sklar E; Blair AD; Pollack JB, 2001, 'Training Intelligent Agents Using Human Data Collected on the Internet', in Series in Machine Perception and Artificial Intelligence, WORLD SCIENTIFIC, pp. 201 - 226, http://dx.doi.org/10.1142/9789812797612_0009

Tonkes B; Blair A; Wiles J, 1999, 'A paradox of neural encoders and decoders or why don’t we talk backwards??', in , pp. 357 - 364, http://dx.doi.org/10.1007/3-540-48873-1_46

Blair AD; Sklar E; Funes P, 1999, 'Co-evolution, determinism and robustness', in McKay B; Yao X; Newton CS; Kim JH; Furuhashi T (ed.), , pp. 389 - 396, http://dx.doi.org/10.1007/3-540-48873-1_50

Journal articles

Iyer S; Blair A; White C; Dawes L; Moses D; Sowmya A, 2023, 'Vertebral compression fracture detection using imitation learning, patch based convolutional neural networks and majority voting', Informatics in Medicine Unlocked, 38, http://dx.doi.org/10.1016/j.imu.2023.101238

Iyer S; Blair A; Dawes L; Moses D; White C; Sowmya A, 2022, 'Supervised and semi-supervised 3D organ localisation in CT images combining reinforcement learning with imitation learning', Biomedical Physics and Engineering Express, 8, http://dx.doi.org/10.1088/2057-1976/ac64c5

Purwanto RW; Pal A; Blair A; Jha S, 2022, 'PhishSim: Aiding Phishing Website Detection With a Feature-Free Tool', IEEE Transactions on Information Forensics and Security, 17, pp. 1497 - 1512, http://dx.doi.org/10.1109/TIFS.2022.3164212

Blair A; Saffidine A, 2019, 'AI surpasses humans at six-player poker', Science, 365, pp. 864 - 865, http://dx.doi.org/10.1126/science.aay7774

Long A; Mason J; Blair A; Wang W, 2019, 'Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal', , http://arxiv.org/abs/1905.09438v1

Knittel A; Blair A, 2014, 'Sparse, guided feature connections in an Abstract Deep Network', , http://arxiv.org/abs/1412.4967v1

Coleman OJ; Blair AD, 2013, 'Models of brains: What should we borrow from biology?', AAAI Fall Symposium - Technical Report, FS-13-02, pp. 10 - 15

Fogel DB; Blair AD; Miikkulainen R, 2005, 'Guest editorial special issue: Evolutionary computation and games', IEEE Transactions on Evolutionary Computation, 9, pp. 537 - 539, http://dx.doi.org/10.1109/TEVC.2005.856201

Fogel D; Blair AD; Miikkulainen R, 2005, 'Special issue: Evolutionary computation and games', IEEE Transactions on Evolutionary Computation, 9, pp. 537 - 539

Chalup SK; Blair AD, 2003, 'Incremental training of first order recurrent neutral networks to predict a context-sensitive language', Neural Networks, 16, pp. 955 - 972

Boden M; Blair AD, 2003, 'Learning the Dynamics of Embedded Clauses', Applied Intelligence, 19, pp. 51 - 63

Blair AD; Ingram J, 2003, 'Learning to Predict the Phonological Structure of English Loanwords in Japanese', Applied Intelligence, 19, pp. 101 - 108

Wiles J; Chenery HJ; Hallinan J; Blair A; Naumann D, 2000, 'Stroop performance in Alzheimer's disease: A preliminary test of theories of damage using a connectionist simulation', BRAIN AND LANGUAGE, 74, pp. 341 - 344, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000089547200010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

, 2000, 'Poster Session 1', Brain and Language, 74, pp. 315 - 364, http://dx.doi.org/10.1006/brln.2000.2359

Pollack JB; Blair AD, 1998, 'Co-Evolution in the successful learning of backgammon strategy', Machine Learning, 32, pp. 225 - 240, http://dx.doi.org/10.1023/A:1007417214905

Blair AD; Pollack JB, 1997, 'Analysis of Dynamical Recognizers', Neural Computation, 9, pp. 1127 - 1142, http://dx.doi.org/10.1162/neco.1997.9.5.1127

BLAIR AD, 1995, 'ADELIC PATH SPACE INTEGRALS', REVIEWS IN MATHEMATICAL PHYSICS, 7, pp. 21 - 49, http://dx.doi.org/10.1142/S0129055X95000037

Conference Papers

Gao J; Blair A; Pagnucco M, 2024, 'Explainable Visual Question Answering via Hybrid Neural-Logical Reasoning', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN60899.2024.10651165

Mezza S; Wobcke W; Blair A, 2024, 'Exploiting Dialogue Acts and Context to Identify Argumentative Relations in Online Debates', in ArgMining 2024 - 11th Workshop on Argument Mining, Proceedings of the Workshop, pp. 36 - 45

Gao J; Blair A; Pagnucco M, 2023, 'A Symbolic-Neural Reasoning Model for Visual Question Answering', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191538

Rahman MA; Singh S; Shanmugalingam K; Iyer S; Blair A; Ravindran P; Sowmya A, 2023, 'Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 312 - 319, http://dx.doi.org/10.1109/DICTA60407.2023.00050

Gao J; Blair A; Wu Q; Pagnucco M, 2023, 'LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering', in Advances in Neural Information Processing Systems

Mezza S; Wobcke W; Blair A, 2022, 'A Multi-Dimensional, Cross-Domain and Hierarchy-Aware Neural Architecture for ISO-Standard Dialogue Act Tagging', in Calzolari N (ed.), Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, pp. 542 - 552, presented at International Conference on Computational Linguistics, Gyeongju, Republic of Korea, 12 October 2022 - 17 October 2022, https://aclanthology.org/2022.coling-1.45

Long A; Blair A; van Hoof H, 2022, 'Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation', in Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI Press, Palo Alto, California USA, Virtual, pp. 7620 - 7627, presented at AAAI Conference on Artificial Intelligence, Virtual, 22 February 2022 - 01 March 2022, http://dx.doi.org/10.1609/aaai.v36i7.20728

Li X; Blair A, 2022, 'Eccentric regularization: minimizing hyperspherical energy without explicit projection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN55064.2022.9892944

Long A; Yin W; Ajanthan T; Nguyen V; Purkait P; Garg R; Blair A; Shen C; Van Den Hengel A, 2022, 'Retrieval Augmented Classification for Long-Tail Visual Recognition', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 6949 - 6959, http://dx.doi.org/10.1109/CVPR52688.2022.00683

Iyer S; Blair A; White C; Dawes L; Moses D; Sowmya A, 2022, 'Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting', in Proceedings - International Conference on Pattern Recognition, pp. 4630 - 4636, http://dx.doi.org/10.1109/ICPR56361.2022.9956309

Purwanto R; Pal A; Blair A; Jha S, 2020, 'PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites', in 2020 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY (CNS), IEEE, ELECTR NETWORK, presented at IEEE Conference on Communications and Network Security (CNS), ELECTR NETWORK, 28 June 2020 - 01 July 2020, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000612838300017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Purwanto R; Paly A; Blair A; Jha S, 2020, 'PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites', in 2020 IEEE Conference on Communications and Network Security, CNS 2020, http://dx.doi.org/10.1109/CNS48642.2020.9162211

Iyer S; Sowmya A; Blair A; White C; Dawes L; Moses D, 2020, 'A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network', in Proceedings - International Symposium on Biomedical Imaging, pp. 726 - 730, http://dx.doi.org/10.1109/ISBI45749.2020.9098714

Hadjiivanov A; Blair A, 2019, 'Epigenetic evolution of deep convolutional models', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 1478 - 1486, http://dx.doi.org/10.1109/CEC.2019.8790327

Blair A, 2019, 'Adversarial Evolution and Deep Learning – How Does an Artist Play with Our Visual System?', in Ekárt A; Liapis A; Castro Pena ML (eds.), Lecture Notes in Computer Science, Springer, Leipzig, pp. 18 - 34, presented at International Conference on Computational Intelligence in Music, Sound, Art and Design, Leipzig, 24 April 2019 - 26 April 2019, http://dx.doi.org/10.1007/978-3-030-16667-0_2

Soderlund J; Blair A, 2018, 'Adversarial Image Generation using Evolution and Deep Learning', in 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE, Rio de Janiero, Brazil, presented at 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janiero, Brazil, 08 July 2018 - 13 July 2018, http://dx.doi.org/10.1109/CEC.2018.8477754

Blair AD; collien D; ripley D; griffith S, 2017, 'Constructivist simulations for path search algorithms', in Huda N; Inglis D; Tse N; Town G (eds.), 28th Annual Conference of the Australasian Association for Engineering Education, Australasian Association for Engineering Education, Sydney, Australia, pp. 990 - 998, presented at 28th Annual Conference of the Australasian Association for Engineering Education, Sydney, Australia, 10 December 2017 - 13 December 2017, https://search.informit.com.au/documentSummary;dn=390856596118724;res=IELENG

Vickers D; Soderlund J; Blair A, 2017, 'Co-evolving line drawings with hierarchical evolution', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Geelong, VIC, Australia, pp. 39 - 49, presented at Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, 31 January 2017 - 02 February 2017, http://dx.doi.org/10.1007/978-3-319-51691-2_4

Soderlund JN; Vickers DJ; Blair AD, 2016, 'Parallel Hierarchical Evolution of String Library Functions', in Handl J (ed.), Lecture Notes in Computer Science, Springer, Edinburgh, pp. 281 - 291, presented at Parallel Problem Solving from Nature, Edinburgh, 17 September 2016 - 21 September 2016, http://dx.doi.org/10.1007/978-3-319-45823-6_26

hadjiivanov AL; Blair AD, 2016, 'Complexity-based speciation and genotype representation for neuroevolution', in Evolutionary Computation (CEC), 2016 IEEE Congress on, IEEE Press, Vancouver, pp. 3092 - 3101, presented at IEEE Congress on Evolutionary Computation, Vancouver, 24 July 2016 - 29 July 2016, http://dx.doi.org/10.1109/CEC.2016.7744180

Real DM; Blair AD, 2016, 'Learning a multi-player chess game with TreeStrap', in 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, Vancouver, Canada, pp. 617 - 623, presented at IEEE Congress on Evolutionary Computation, Vancouver, Canada, 24 July 2016 - 29 July 2016, http://dx.doi.org/10.1109/CEC.2016.7743850

Blair AD, 2015, 'Transgenic Evolution for Classification Tasks with HERCL', in Chalup SK; Blair AD; Randall M (eds.), Lecture Notes in Computer Science, Springer, Newcastle, Australia, pp. 185 - 195, presented at Australasian Conference on Artificial Life and Computational Intelligence, Newcastle, Australia, 05 February 2015 - 07 February 2015, http://dx.doi.org/10.1007/978-3-319-14803-8_15

Chalup S; Blair A; Randall M, 2015, 'Artificial Life and Computational Intelligence: First Australasian Conference, ACALCI 2015 Newcastle, NSW, Australia, February 5-7, 2015 Proceedings', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), http://dx.doi.org/10.1007/978-3-319-14803-8

Blair AD, 2014, 'Incremental evolution of HERCL programs for robust control', in Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, ACM, Vancouver, Canada, presented at Genetic and Evolutionary Computation Conference, Vancouver, Canada, 12 July 2014 - 16 July 2014, http://dx.doi.org/10.1145/2598394.2598424

Knittel A; Blair A, 2014, 'Coarse and Fine Learning in Deep Networks', in 2014 International Joint Conference on Neural Networks Artificial Intelligence, Neural Networks Conference, IEEE, Beijing, pp. 792 - 799, presented at International Joint Conference on Neural Networks, Beijing, 06 July 2014 - 11 July 2014, http://dx.doi.org/10.1109/IJCNN.2014.6889499

Coleman OJ; Blair AD; Clune J, 2014, 'Automated generation of environments to test the general learning capabilities of AI agents', in GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference, pp. 161 - 168, http://dx.doi.org/10.1145/2576768.2598257

Blair AD, 2013, 'Learning the Caesar and Vigenere Cipher by Hierarchical Evolutionary Re-Combination', in 2013 IEEE Congress on Evolutionary Computation (CEC 2013), IEEE, Cancun, Mexico, presented at 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, 20 June 2013 - 23 June 2013

Gurto D; Ryan MR; Blair A, 2013, 'Crafty: Dynamic vendor pricing in computer role-playing games', in Proceedings of the 6th International Conference on Foundations of Digital Games, Association for Computing Machinery, New York, pp. 286 - 288, presented at 7th International Conference on the Foundations of Digital Games, Chania, Crete, 13 May 2013 - 17 May 2013, http://dx.doi.org/10.1145/2159365.2159414

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