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ORCIDAlan Blair 0001
Person information
- affiliation: University of New South Wales, School of Computer Science and Engineering, Sydney, Australia
- affiliation (former): University of Melbourne, Department of Computer Science and Software Engineering, Australia
Other persons with the same name
- Alan Blair — disambiguation page
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2020 – today
- 2023
[c44]Md Akizur Rahman, Sonit Singh
, Kuruparan Shanmugalingam, Sankaran Iyer, Alan Blair, Praveen Ravindran, Arcot Sowmya:
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images. DICTA 2023: 312-319- [i9]Md Akizur Rahman, Sonit Singh, Kuruparan Shanmugalingam, Sankaran Iyer, Alan Blair, Praveen Ravindran, Arcot Sowmya:
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images. CoRR abs/2309.13872 (2023) - 2022
- [j6]Rizka Widyarini Purwanto, Arindam Pal, Alan Blair, Sanjay Jha:
PhishSim: Aiding Phishing Website Detection With a Feature-Free Tool. IEEE Trans. Inf. Forensics Secur. 17: 1497-1512 (2022) - [c43]Stefano Mezza, Wayne Wobcke, Alan Blair:
A Multi-Dimensional, Cross-Domain and Hierarchy-Aware Neural Architecture for ISO-Standard Dialogue Act Tagging. COLING 2022: 542-552 - [c42]Sankaran Iyer, Alan Blair, Christopher White, Laughlin Dawes, Daniel Aaron Moses, Arcot Sowmya:
Vertebral Compression Fracture detection using Multiple Instance Learning and Majority Voting. ICPR 2022: 4630-4636 - [i8]Rizka Purwanto, Arindam Pal, Alan Blair, Sanjay K. Jha:
PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool. CoRR abs/2207.10801 (2022) - 2021
- [i7]Alexander Hadjiivanov, Alan Blair:
Epigenetic evolution of deep convolutional models. CoRR abs/2104.05411 (2021) - [i6]Rizka Purwanto, Arindam Pal, Alan Blair, Sanjay Jha:
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection. CoRR abs/2108.12193 (2021) - [i5]Sankaran Iyer, Alan Blair, Laughlin Dawes, Daniel Aaron Moses, Christopher White, Arcot Sowmya:
Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning. CoRR abs/2112.03276 (2021) - 2020
- [c41]Rizka Purwanto, Arindam Pal, Alan Blair, Sanjay Jha:
PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites. CNS 2020: 1-9 - [c40]Sankaran Iyer, Arcot Sowmya, Alan Blair, Christopher White, Laughlin Dawes, Daniel Aaron Moses:
A Novel Approach to Vertebral Compression Fracture Detection Using Imitation Learning and Patch Based Convolutional Neural Network. ISBI 2020: 726-730 - [i4]Rizka Purwanto, Arindam Pal, Alan Blair, Sanjay Jha:
PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites. CoRR abs/2007.11955 (2020) - [i3]Alexander Hadjiivanov, Alan Blair:
Complexity-based speciation and genotype representation for neuroevolution. CoRR abs/2010.05176 (2020)
2010 – 2019
- 2019
- [c39]Alexander Hadjiivanov, Alan Blair:
Epigenetic evolution of deep convolutional models. CEC 2019: 1478-1486 - [c38]Alan Blair:
Adversarial Evolution and Deep Learning - How Does an Artist Play with Our Visual System? EvoMUSART 2019: 18-34 - [i2]Alex Long, Joel Mason, Alan Blair, Wei Wang:
Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal. CoRR abs/1905.09438 (2019) - 2018
- [c37]Jacob Soderlund, Alan Blair:
Adversarial Image Generation Using Evolution and Deep Learning. CEC 2018: 1-8 - 2017
- [c36]Darwin Vickers, Jacob Soderlund, Alan Blair:
Co-Evolving Line Drawings with Hierarchical Evolution. ACALCI 2017: 39-49 - 2016
- [c35]Diogo Real, Alan Blair:
Learning a multi-player chess game with TreeStrap. CEC 2016: 617-623 - [c34]Alexander Hadjiivanov, Alan Blair:
Complexity-based speciation and genotype representation for neuroevolution. CEC 2016: 3092-3101 - [c33]Jacob Soderlund, Darwin Vickers, Alan Blair:
Parallel Hierarchical Evolution of String Library Functions. PPSN 2016: 281-291 - 2015
- [c32]Alan D. Blair:
Transgenic Evolution for Classification Tasks with HERCL. ACALCI 2015: 185-195 - [e1]Stephan K. Chalup, Alan D. Blair, Marcus Randall:
Artificial Life and Computational Intelligence - First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015. Proceedings. Lecture Notes in Computer Science 8955, Springer 2015, ISBN 978-3-319-14802-1 [contents] - 2014
- [c31]Alan Blair:
Incremental evolution of HERCL programs for robust control. GECCO (Companion) 2014: 27-28 - [c30]Oliver J. Coleman, Alan D. Blair, Jeff Clune:
Automated generation of environments to test the general learning capabilities of AI agents. GECCO 2014: 161-168 - [c29]Anthony Knittel, Alan D. Blair:
Coarse and fine learning in deep networks. IJCNN 2014: 792-799 - [i1]Anthony Knittel, Alan D. Blair:
Sparse, guided feature connections in an Abstract Deep Network. CoRR abs/1412.4967 (2014) - 2013
- [c28]Oliver J. Coleman, Alan D. Blair:
Models of Brains: What Should We Borrow From Biology? AAAI Fall Symposia 2013 - [c27]Alan Blair:
Learning the Caesar and Vigenere Cipher by hierarchical evolutionary re-combination. IEEE Congress on Evolutionary Computation 2013: 605-612 - 2012
- [c26]Anthony Knittel, Alan D. Blair:
An Abstract Deep Network for Image Classification. Australasian Conference on Artificial Intelligence 2012: 156-169 - [c25]Oliver J. Coleman, Alan D. Blair:
Evolving Plastic Neural Networks for Online Learning: Review and Future Directions. Australasian Conference on Artificial Intelligence 2012: 326-337 - 2011
- [c24]Dominic Gurto, Malcolm Ryan, Alan Blair:
Crafty dynamic vendor pricing in computer role-playing games. FDG 2011: 286-288
2000 – 2009
- 2009
- [c23]Alan Blair, Guanzhong Li:
Training of recurrent Internal Symmetry Networks by backpropagation. IJCNN 2009: 353-358 - [c22]Joel Veness, David Silver, William T. B. Uther, Alan Blair:
Bootstrapping from Game Tree Search. NIPS 2009: 1937-1945 - 2008
- [c21]Alan Blair:
Learning position evaluation for Go with Internal Symmetry Networks. CIG 2008: 199-204 - 2007
- [c20]Joel Veness, Alan Blair:
Effective Use of Transposition Tables in Stochastic Game Tree Search. CIG 2007: 112-116 - [c19]Bradley Tonkes, Alan D. Blair:
Decentralised data fusion with exponentials of polynomials. IROS 2007: 3727-3732 - 2006
- [c18]Robin Harper, Alan Blair:
A Self-Selecting Crossover Operator. IEEE Congress on Evolutionary Computation 2006: 1420-1427 - [c17]Robin Harper, Alan Blair:
Dynamically Defined Functions In Grammatical Evolution. IEEE Congress on Evolutionary Computation 2006: 2638-2645 - [c16]Chee Wee Phua, Alan Blair:
An Improved Minibrain That Learns Through Both Positive and Negative Feedback. IJCNN 2006: 812-819 - 2005
- [c15]Robin Harper, Alan Blair:
A structure preserving crossover in grammatical evolution. Congress on Evolutionary Computation 2005: 2537-2544 - [c14]Kai-Ming Kiang, Richard Willgoss, Alan Blair:
Distinctness Analysis on Natural Landmark Descriptors. FSR 2005: 67-78 - 2003
- [j5]Mikael Bodén, Alan D. Blair:
Learning the Dynamics of Embedded Clauses. Appl. Intell. 19(1-2): 51-63 (2003) - [j4]Alan D. Blair, John Ingram:
Learning to Predict the Phonological Structure of English Loanwords in Japanese. Appl. Intell. 19(1-2): 101-108 (2003) - [j3]Stephan K. Chalup, Alan D. Blair:
Incremental training of first order recurrent neural networks to predict a context-sensitive language. Neural Networks 16(7): 955-972 (2003) - [c13]Jason Thomas, Alan Blair, Nick Barnes:
Towards an efficient optimal trajectory planner for multiple mobile robots. IROS 2003: 2291-2296 - 2002
- [c12]Toby Ord, Alan Blair:
Exploitation and peacekeeping: introducing more sophisticated interactions to the iterated prisoner's dilemma. IEEE Congress on Evolutionary Computation 2002: 1606-1611 - [c11]Stephan K. Chalup, Alan D. Blair:
Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages. ICGI 2002: 296-298 - 2001
- [c10]Steven Versteeg, Alan D. Blair:
Getting the Job Done in a Hostile Environment. Australian Joint Conference on Artificial Intelligence 2001: 507-518 - [c9]Kate Clarke, Stephen Dempster, Ian Falcao, Bronwen Jones, Daniel Rudolph, Alan Blair, Chris McCarthy, Dariusz Walter, Nick Barnes:
RoboMutts++. RoboCup 2001: 713-716 - 2000
- [c8]Robert Sim, Paul Russo, Andrew Grahm, Andrew Blair, Nick Barnes, Alan Blair:
RoboMutts. RoboCup 2000: 647-650
1990 – 1999
- 1999
- [c7]Alan D. Blair, Elizabeth Sklar:
Exploring evolutionary learning in a simulated hockey environment. CEC 1999: 197-203 - [c6]Bradley Tonkes, Alan D. Blair, Janet Wiles:
Evolving Learnable Languages. NIPS 1999: 66-72 - 1998
- [j2]Jordan B. Pollack, Alan D. Blair:
Co-Evolution in the Successful Learning of Backgammon Strategy. Mach. Learn. 32(3): 225-240 (1998) - [c5]Bradley Tonkes, Alan D. Blair, Janet Wiles:
A Paradox of Neural Encoders and Decoders or Why Don't We Talk Backwards? SEAL 1998: 357-364 - [c4]Alan D. Blair, Elizabeth Sklar, Pablo Funes:
Co-evolution, Determinism and Robustness. SEAL 1998: 389-396 - [c3]Alan D. Blair, John Ingram:
Loanword formation: a neural network approach. SIGPHON@COLING/ACL 1998 - 1997
- [j1]Alan D. Blair, Jordan B. Pollack:
Analysis of Dynamical Recognizers. Neural Comput. 9(5): 1127-1142 (1997) - [c2]Alan D. Blair, Jordan B. Pollack:
Quasi-Orthogonal Maps for Dynamic Language Recognition. ICONIP (2) 1997: 1065-1067 - 1996
- [c1]Jordan B. Pollack, Alan D. Blair:
Why did TD-Gammon Work? NIPS 1996: 10-16
Coauthor Index
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