 | 2012 |
| 25 |  | Xiongcai Cai,
Michael Bain,
Alfred Krzywicki,
Wayne Wobcke,
Yang Sok Kim,
Paul Compton,
Ashesh Mahidadia:
Reciprocal and Heterogeneous Link Prediction in Social Networks.
PAKDD (2) 2012: 193-204 |
| 2011 |
| 24 |  | Xiongcai Cai,
Michael Bain,
Alfred Krzywicki,
Wayne Wobcke,
Yang Sok Kim,
Paul Compton,
Ashesh Mahidadia:
Learning to Make Social Recommendations: A Model-Based Approach.
ADMA (2) 2011: 124-137 |
| 23 |  | Nadine Marcus,
Dror Ben-Naim,
Michael Bain:
Instructional Support for Teachers and Guided Feedback for Students in an Adaptive eLearning Environment.
ITNG 2011: 626-631 |
| 2010 |
| 22 |  | Xiongcai Cai,
Michael Bain,
Alfred Krzywicki,
Wayne Wobcke,
Yang Sok Kim,
Paul Compton,
Ashesh Mahidadia:
Collaborative Filtering for People to People Recommendation in Social Networks.
Australasian Conference on Artificial Intelligence 2010: 476-485 |
| 21 |  | Xiongcai Cai,
Michael Bain,
Alfred Krzywicki,
Wayne Wobcke,
Yang Sok Kim,
Paul Compton,
Ashesh Mahidadia:
Learning Collaborative Filtering and Its Application to People to People Recommendation in Social Networks.
ICDM 2010: 743-748 |
| 20 |  | Dror Ben-Naim,
Gary Velan,
Nadine Marcus,
Michael Bain:
Adaptive Tutorials for Virtual Microscopy: A Design Paradigm to Promote Pedagogical Ownership.
Intelligent Tutoring Systems (2) 2010: 266-268 |
| 19 |  | Alfred Krzywicki,
Wayne Wobcke,
Xiongcai Cai,
Ashesh Mahidadia,
Michael Bain,
Paul Compton,
Yang Sok Kim:
Interaction-Based Collaborative Filtering Methods for Recommendation in Online Dating.
WISE 2010: 342-356 |
| 18 |  | Michael Bain:
Structured Induction.
Encyclopedia of Machine Learning 2010: 930-933 |
| 17 |  | Elma Akand,
Michael Bain,
Mark Temple:
Learning with Gene Ontology Annotation Using Feature Selection and Construction.
Applied Artificial Intelligence 24(1&2): 5-38 (2010) |
| 2009 |
| 16 |  | Dror Ben-Naim,
Michael Bain,
Nadine Marcus:
A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive Tutorials.
EDM 2009: 21-30 |
| 2007 |
| 15 |  | Dror Ben-Naim,
Nadine Marcus,
Michael Bain:
Virtual Apparatus Framework Approach to Constructing Adaptive Tutorials.
CSREA EEE 2007: 3-10 |
| 2004 |
| 14 |  | Michael Bain:
Predicate Invention and the Revision of First-Order Concept Lattices.
ICFCA 2004: 329-336 |
| 2003 |
| 13 |  | Michael Bain:
Inductive Construction of Ontologies from Formal Concept Analysis.
Australian Conference on Artificial Intelligence 2003: 88-99 |
| 12 |  | Ashwin Srinivasan,
Ross D. King,
Michael Bain:
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming.
Journal of Machine Learning Research 4: 369-383 (2003) |
| 2002 |
| 11 |  | Michael Bain:
Structured Features from Concept Lattices for Unsupervised Learning and Classification.
Australian Joint Conference on Artificial Intelligence 2002: 557-568 |
| 2000 |
| 10 |  | Ken Ueno,
Koichi Furukawa,
Michael Bain:
Motor Skill as Dynamic Constraint Satisfaction.
Electron. Trans. Artif. Intell. 4(B): 83-96 (2000) |
| 1999 |
| 9 |  | Stephen Muggleton,
Michael Bain:
Analogical Prediction.
ILP 1999: 234-244 |
| 1995 |
| 8 |  | Michael Bain,
Claude Sammut:
A Framework for Behavioural Cloning.
Machine Intelligence 15 1995: 103-129 |
| 1994 |
| 7 |  | Michael Bain,
Stephen Muggleton:
Learning optimal chess strategies.
Machine Intelligence 13 1994: 291-309 |
| 6 |  | Ashwin Srinivasan,
Stephen Muggleton,
Michael Bain:
The Justification of Logical Theories based on Data Compression.
Machine Intelligence 13 1994: 87-121 |
| 1993 |
| 5 |  | Michael Bain,
Ashwin Srinivasan:
Inductive Logic Programming With Large-Scale Unstructured Data.
Machine Intelligence 14 1993: 235- |
| 1992 |
| 4 |  | Stephen Muggleton,
Ashwin Srinivasan,
Michael Bain:
Compression, Significance, and Accuracy.
ML 1992: 338-347 |
| 1991 |
| 3 |  | Michael Bain:
Experiments in Non-Monotonic Learning.
ML 1991: 380-384 |
| 1989 |
| 2 |  | Stephen Muggleton,
Michael Bain,
Jean Hayes Michie,
Donald Michie:
An Experimental Comparison of Human and Machine Learning Formalisms.
ML 1989: 113-118 |
| 1 |  | Donald Michie,
Michael Bain:
Machines That Learn and Machines That Teach.
SCAI 1989: 1-25 |