Michael Bain - researchr alias

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Viewing Publication 1 - 55 from 55

2023

Context Discovery and Cost Prediction for Detection of Anomalous Medical Claims, with Ontology Structure Providing Domain KnowledgeJames Kemp, Christopher Barker, Norm Good, Michael Bain. biostec 2023: 29-40 [doi]

Developing an anomaly detection framework for Medicare claimsJames Kemp, Christopher Barker, Norm Good, Michael Bain. acsw 2023: 234-237 [doi]

2022

2020

Using a Semi-Evolutionary Algorithm to Optimize Deep Network Hyper-Parameters with an Application to Donor DetectionYu Bai, Michael Bain. ssci 2020: 2655-2662 [doi]

From Reward to Histone: Combining Temporal-Difference Learning and Epigenetic Inheritance for Swarm's Coevolving Decision MakingFaqihza Mukhlish, John Page, Michael Bain. icdl-epirob 2020: 1-6 [doi]

2019

Logical Explanations for Deep Relational Machines Using Relevance InformationAshwin Srinivasan 0001, Lovekesh Vig, Michael Bain. jmlr, 20, 2019. [doi]

2018

Identification of biological transition systems using meta-interpreted logic programsMichael Bain, Ashwin Srinivasan. ml, 107(7):1171-1206, 2018. [doi]

Analysing TV Audience Engagement via Twitter: Incremental Segment-Level Opinion Mining of Second Screen TweetsGavin Katz, Bradford Heap, Wayne Wobcke, Michael Bain, Sandeepa Kannangara. pricai 2018: 300-308 [doi]

A Knowledge Acquisition Method for Event Extraction and Coding Based on Deep PatternsAlfred Krzywicki, Wayne Wobcke, Michael Bain, Susanne Schmeidl, Bradford Heap. pkaw 2018: 16-31 [doi]

Using Word Embeddings with Linear Models for Short Text ClassificationAlfred Krzywicki, Bradford Heap, Michael Bain, Wayne Wobcke, Susanne Schmeidl. ausai 2018: 819-827 [doi]

The Risks of Low Level Narrow Artificial IntelligenceJohn Page, Michael Bain, Faqihza Mukhlish. isr2 2018: 1-6 [doi]

2017

2016

Data mining for building knowledge bases: techniques, architectures and applicationsAlfred Krzywicki, Wayne Wobcke, Michael Bain, John Calvo Martinez, Paul Compton. ker, 31(2):97-123, 2016. [doi]

2015

2014

2013

A people-to-people content-based reciprocal recommender using hidden markov modelsAmmar Alanazi, Michael Bain. recsys 2013: 303-306 [doi]

ProCF: Probabilistic Collaborative Filtering for Reciprocal RecommendationXiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia. pakdd 2013: 1-12 [doi]

2012

Reciprocal and Heterogeneous Link Prediction in Social NetworksXiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia. pakdd 2012: 193-204 [doi]

People-to-People Recommendation Using Multiple Compatible SubgroupsYang Sok Kim, Ashesh Mahidadia, Paul Compton, Alfred Krzywicki, Wayne Wobcke, Xiongcai Cai, Michael Bain. ausai 2012: 61-72 [doi]

Hybrid Techniques to Address Cold Start Problems for People to People Recommendation in Social NetworksYang Sok Kim, Alfred Krzywicki, Wayne Wobcke, Ashesh Mahidadia, Paul Compton, Xiongcai Cai, Michael Bain. pricai 2012: 206-217 [doi]

Using a Critic to Promote Less Popular Candidates in a People-to-People Recommender SystemAlfred Krzywicki, Wayne Wobcke, Xiongcai Cai, Michael Bain, Ashesh Mahidadia, Paul Compton, Yang Sok Kim. iaai 2012: 2305-2310 [doi]

2011

2010

Learning with Gene Ontology Annotation Using Feature Selection and ConstructionElma Akand, Michael Bain, Mark Temple. aai, 24(1&2):5-38, 2010. [doi]

Adaptive Tutorials for Virtual Microscopy: A Design Paradigm to Promote Pedagogical OwnershipDror Ben-Naim, Gary Velan, Nadine Marcus, Michael Bain. its 2010: 266-268 [doi]

Learning Collaborative Filtering and Its Application to People to People Recommendation in Social NetworksXiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia. icdm 2010: 743-748 [doi]

Collaborative Filtering for People to People Recommendation in Social NetworksXiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia. ausai 2011: 476-485 [doi]

Interaction-Based Collaborative Filtering Methods for Recommendation in Online DatingAlfred Krzywicki, Wayne Wobcke, Xiongcai Cai, Ashesh Mahidadia, Michael Bain, Paul Compton, Yang Sok Kim. wise 2010: 342-356 [doi]

2009

A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive TutorialsDror Ben-Naim, Michael Bain, Nadine Marcus. edm 2009: 21-30 [doi]

Mining Minimal Constrained Flow Cycles from Complex Transaction DataMeng Xu, Michael Bain. ausdm 2009: 151-158 [doi]

2007

Virtual Apparatus Framework Approach to Constructing Adaptive TutorialsDror Ben-Naim, Nadine Marcus, Michael Bain. csreaEEE 2007: 3-10

2004

Predicate Invention and the Revision of First-Order Concept LatticesMichael Bain. icfca 2004: 329-336 [doi]

2003

Inductive Construction of Ontologies from Formal Concept AnalysisMichael Bain. ausai 2003: 88-99 [doi]

An Empirical Study of the Use of Relevance Information in Inductive Logic ProgrammingAshwin Srinivasan, Ross D. King, Michael Bain. jmlr, 4:369-383, 2003. [doi]

2002

Structured Features from Concept Lattices for Unsupervised Learning and ClassificationMichael Bain. ausai 2002: 557-568 [doi]

2000

Motor Skill as Dynamic Constraint SatisfactionKen Ueno, Koichi Furukawa, Michael Bain. etai, 4(B):83-96, 2000. [doi]

1999

Analogical PredictionStephen Muggleton, Michael Bain. ilp 1999: 234-244 [doi]

1995

A Framework for Behavioural CloningMichael Bain, Claude Sammut. mi 1999: 103-129

1994

Learning optimal chess strategiesMichael Bain, Stephen Muggleton. mi 1994: 291-309

The Justification of Logical Theories based on Data CompressionAshwin Srinivasan, Stephen Muggleton, Michael Bain. mi 1994: 87-121

1993

Inductive Logic Programming With Large-Scale Unstructured DataMichael Bain, Ashwin Srinivasan. mi 1995: 235

1992

Compression, Significance, and AccuracyStephen Muggleton, Ashwin Srinivasan, Michael Bain. icml 1992: 338-347

1991

Experiments in Non-Monotonic LearningMichael Bain. icml 1991: 380-384

1989

Machines That Learn and Machines That TeachDonald Michie, Michael Bain. scai 1989: 1-25

An Experimental Comparison of Human and Machine Learning FormalismsStephen Muggleton, Michael Bain, Jean Hayes Michie, Donald Michie. icml 1989: 113-118

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