Mike Bain

Senior Lecturer

Office K17 401H
Phone +61 2 9385 6935 (Internal: x56935)
Fax +61 2 9385 4936 (Internal: x54936)
Email mike AT cse.unsw.edu.au
Mail School of Computer Science and Engineering
The University of New South Wales
Sydney 2052, Australia

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Research Areas

  • Machine Learning
  • Inductive Logic Programming
  • Behavioural Cloning
  • Concept Analysis
  • Bioinformatics

Publications

People Recommendation based on Aggregated Bidirectional Intentions in Social Network Site
Y Kim, A Mahidadia, P Compton, X Cai, M Bain, A Krzywicki, W Wobcke, AICI - Lecture Notes in Computer Science, . Springer, Germany, 2010
Learning Collaborative Filtering and Its Application on People-to-People Recommendation in Social Networks
X Cai, M Bain, A Krzywicki, W Wobcke, Y Kim, P Compton, A Mahidadia, Proceedings of the 10th IEEE International Conference on Data Mining, . IEEE, 2010
Interaction-based collaborative filtering methods for recommendation in online dating
A Krzywicki, W Wobcke, X Cai, A Mahidadia, M Bain, P Compton, Y Kim, Web Information Systems Engineering - WISE 2010, . Springer, Germany, 2010
Collaborative Filtering for People to People Recommendation in Social Networks
X Cai, M Bain, A Krzywicki, W Wobcke, Y Kim, P Compton, A Mahidadia, AI 2010: Advances in Artificial Intelligence, . Springer-Verlag, Berlin, Heidelberg, 2010
Adaptive Tutorials for Virtual Microscopy: A Design Paradigm to Promote Pedagogical Ownership
D Ben-Naim, G Velan, N Marcus, M Bain, Intelligent Tutoring Systems - Lecture Notes in Computer Science Volume 6095 Part II, . Springer, Berlin / Heidelberg, 2010
A Visual Analytics Approach to Augmenting Formal Concepts with Relational Background Knowledge in a Biological Domain
E Akand, M Bain, M Temple, Conferences in Research and Practice in Information Technology, Volume 122, . Australian Computer Society Inc., Adelaide, SA, 2010
Mining minimal constrained flow cycles from complex transaction data
m xu, M Bain, Conferences on Research and Practice in Information Technology Volume 101, . Australian Computer Society, 2009
MINER: exploratory analysis of gene interaction networks by machine learning from expression data
S Kadupitige, K Leung, J Sellmeier, J Sivieng, D Catchpoole, M Bain, B Gaeta, BMC Genomics, . Biomed Central Ltd, 2009, pages S17 -
LEARNING RESPONSIVE CELLULAR NETWORKS BY INTERGRATING GENOMICS AND PROTEOMICS DATA
E Akand, M Bain, M Temple, 19th International Conference on Inductive Logic Programming, . , 2009
Adaptive tutorials using virtual slides to enhance learning of microscopic morphology
G Velan, D Ben-Naim, R Kumar, M Bain, B Kan, N Marcus, Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2009, . Association for the Advancement of Computing in Education, 2009
A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive Tutorials
D Ben-Naim, M Bain, N Marcus, Educational Data Mining 2009: 2nd International Conference on Educational Data Mining, ‎Proceedings, . , 2009
Visualization and Analysis of Student Interactions in an Adaptive Exploratory Learning Environment
D Ben-Naim, N Marcus, M Bain, CEUR Workshop Proceedings, Berhard Beckert. , 2008
Virtual Apparatus Approach To Constructing Adaptive Tutorials
D Ben-Naim, N Marcus, M Bain, 2007 international conference on e-learning, e-business, enterprise information systems, and e-government, Proceedings, H. Arabnia, A. Bahrami. CSREA press, USA, 2007, pages pp. 3 - 10 -
Learning From Ontological Annotation: An Application Of Formal Concept Analysis To Feature Construction In The Gene Ontology
E Akand, M Bain, Advances in ontologies 2007, T. Meyer and A. Nayak. Australian computer society, Adelaide, 2007, pages pp. 9 - 17 -
Reconsidering The Human Immunoglobulin Heavy-Chain Locus: 1. An Evaluation Of The Expressed Human Ighd Gene Repertoire
C Lee, B Gaeta, H Malming, M Bain, W Sewell, A Collins, Immunogenetics, . Springer, New York, 2006, pages pp. 917 - 925 - [More Info]
Learning Causal Networks From Microarray Data
M Bain, N Ahsan, J Potter, B Gaeta, M Temple, I Dawes, Intelligent systems for bioinformatics, M. Boden, T. Bailey. Australian computer society inc., Sydney, Australia, 2006, pages pp. 3 - 8 -
Predicate Invention And The Revision Of First-Order Concept Lattices
M Bain, CONCEPT LATTICES, PROCEEDINGS, P. Eklund. SPRINGER-VERLAG BERLIN, BERLIN, 2004, pages pp. 329 - 336 -
A Knowledge Acquisition Approach For Composite Aerospace Component Design.
C Reidsema, M Bain, J Raju, D Kelly, The Fifth Asia-Pacific Industrial Engineering and Management Systems Conference 200 & The Seventh Asia-Pacific Division Meeting of the International Foundation of Production Research (APIEMS2004) (CD-ROM), E Kozan. Queensland University of Technology, Queensland, Australia, 2004, pages pp. 1 - 10 -
Learning Quantitative Gene Interactions From Microarray Data
M Bain, B Gaeta, Proceedings of 2nd Australasian Data Mining Workshop, S. Simoff, G. Williams, M. Hegland. UJniversity Technology Sydney, Sydney, 2003, pages pp. 35 - 49 -
Learning Ontologies From Concept Lattices
M Bain, Using Conceptual Structures - Contributions to ICCS 2003, B. Ganter, A. de Moor. Shaker Verlag, Aachen, 2003, pages pp. 199 - 212 -
Inductive Construction Of Ontologies From Formal Concept Analysis
M Bain, AI 2003: Advances in Artificial Intelligence, T. Gedeon, L. Fung. Springer, Berlin, 2003, pages pp. 88 - 99 -
An Empirical Study Of The Use Of Relevance Information In Inductive Logic Programming
A Srinivasan, R King, M Bain, Journal of Machine Learning Research, R. Dybowski, K. Laskey, J. Myers, S. Parsons. MIT Press, Cambridge, USA, 2003, pages pp. 369 - 383 -
Structured Features From Concept Lattices For Unsupervised Learning And Classification
M Bain, AI2002: Advances In Artificial Intelligence, Bob McKay; John Slaney. Springer, Berlin, 2002, pages pp. 557 - 568 -
Revising Concept Lattices To Extract Concept Definitions
M Bain, The 2002 Pacific Rim Knowledge Acquisition Workshop (PKAW 2002), Takahira Yamaguchi; Achim Hoffmann; Hiroshi Motoda; Paul Compton. Japan Society for Artificial Intelligence, Tokyo, Japan, 2002, pages pp. 87 - 101 -
Motor Skill As Dynamic Constraint Satisfaction
M Bain, K Furukawa, K Ueno, Electronic Transactions on Artificial Intelligence, . Linkoping University Electronic Press, Royal Swedish Academy of Sciences, 2001, pages pp. 79 - 92 -
Analogical Prediction
S Muggleton, M Bain, ILP99 - Inductive Logic Programming, 1999, . Springer, Berlin, 1999, pages pp. 234 - 244 -

 

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