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Michael Mayo
2010 – today
- 2013
[c15]Michael Mayo: Identifying Market Price Levels Using Differential Evolution. EvoApplications 2013: 203-212
[c14]Quan Sun, Bernhard Pfahringer, Michael Mayo: Towards a Framework for Designing Full Model Selection and Optimization Systems. MCS 2013: 259-270- 2012
[c13]Michael Mayo: Evolutionary Data Selection for Enhancing Models of Intraday Forex Time Series. EvoApplications 2012: 184-193
[c12]Quan Sun, Bernhard Pfahringer, Michael Mayo: Full model selection in the space of data mining operators. GECCO (Companion) 2012: 1503-1504- 2011
[j4]Michael Mayo, Lorenzo Beretta: Modelling epistasis in genetic disease using Petri nets, evolutionary computation and frequent itemset mining. Expert Syst. Appl. 38(4): 4006-4013 (2011)
[c11]Michael Mayo: Hybridizing Data Stream Mining and Technical Indicators in Automated Trading Systems. MDAI 2011: 79-90- 2010
[j3]Steven J. M. Jones, Janessa Laskin, Yvonne Y. Li, Obi L. Griffith, Jianghong An, Mikhail Bilenky, Yaron S. N. Butterfield, Timothee Cezard, Eric Chuah, Richard Corbett, Anthony P. Fejes, Malachi Griffith, John Yee, Montgomery Martin, Michael Mayo, Nataliya Melnyk, Ryan D. Morin, Trevor J. Pugh, Tesa Severson, Sohrab P. Shah, Margaret Sutcliffe, Angela Tam, Jefferson Terry, Nina Thiessen, Thomas Thomson, Richard Varhol, Thomas Zeng, Yongjun Zhao, Richard A. Moore, David G. Huntsman, Inanç Birol, Martin Hirst, Robert A. Holt, Marco A. Marra: Genomic analysis of a rare human tumor. BMC Bioinformatics 11(S-4): O3 (2010)
[c10]Michael Mayo, Lorenzo Beretta: Evolving Concurrent Petri Net Models of Epistasis. ACIIDS (2) 2010: 166-175
2000 – 2009
- 2009
[c9]Michael Mayo, Edmond Zhang: 3D Face Recognition Using Multiview Keypoint Matching. AVSS 2009: 290-295
[c8]Edmond Zhang, Michael Mayo: SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images. DICTA 2009: 317-324- 2007
[j2]Michael Mayo, Anna T. Watson: Automatic species identification of live moths. Knowl.-Based Syst. 20(2): 195-202 (2007)
[c7]- 2005
[c6]Michael Mayo: Bayesian Sequence Learning for Predicting Protein Cleavage Points. PAKDD 2005: 192-202- 2004
[c5]Margaret E. Jefferies, Wenrong Weng, Jesse T. Baker, Michael Mayo: Using Context to Solve the Correspondence Problem in Simultaneous Localisation and Mapping. PRICAI 2004: 664-672
[c4]Margaret E. Jefferies, Michael J. Cree, Michael Mayo, Jesse T. Baker: Using 2D and 3D Landmarks to Solve the Correspondence Problem in Cognitive Robot Mapping. Spatial Cognition 2004: 434-454- 2002
[j1]Antonija Mitrovic, Brent Martin, Michael Mayo: Using Evaluation to Shape ITS Design: Results and Experiences with SQL-Tutor. User Model. User-Adapt. Interact. 12(2-3): 243-279 (2002)- 2001
[c3]Antonija Mitrovic, Michael Mayo, Pramuditha Suraweera, Brent Martin: Constraint-Based Tutors: A Success Story. IEA/AIE 2001: 931-940- 2000
[c2]Michael Mayo, Antonija Mitrovic: Using a Probabilistic Student Model to Control Problem Difficulty. Intelligent Tutoring Systems 2000: 524-533
1990 – 1999
- 1999
[c1]Michael Mayo, Antonija Mitrovic: Estimating Problem Value in an Intelligent Tutoring System Using Bayesian Networks. Australian Joint Conference on Artificial Intelligence 1999: 472-473
Coauthor Index
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last updated on 2013-05-08 22:54 CEST by the dblp team



