Michael Bain

Orcid: 0000-0002-4309-6511

Affiliations:
  • University of New South Wales, School of Computer Science and Engineering, Sydney, Australia


According to our database1, Michael Bain authored at least 70 papers between 1989 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Retina Vision Transformer (RetinaViT): Introducing Scaled Patches into Vision Transformers.
CoRR, 2024

2023
Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition.
Hum. Centric Intell. Syst., September, 2023

Defining Reference Sequences for Nocardia Species by Similarity and Clustering Analyses of 16S rRNA Gene Sequence Data.
CoRR, 2023

A Protocol for Intelligible Interaction Between Agents That Learn and Explain.
CoRR, 2023

Graphical Association Analysis for Identifying Variation in Provider Claims for Joint Replacement Surgery.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Context Discovery and Cost Prediction for Detection of Anomalous Medical Claims, with Ontology Structure Providing Domain Knowledge.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Developing an anomaly detection framework for Medicare claims.
Proceedings of the 2023 Australasian Computer Science Week, 2023

2022
Learning explanations for biological feedback with delays using an event calculus.
Mach. Learn., 2022

Optimizing weighted lazy learning and Naive Bayes classification using differential evolution algorithm.
J. Ambient Intell. Humaniz. Comput., 2022

Credit Risk Modeling Using Transfer Learning and Domain Adaptation.
Frontiers Artif. Intell., 2022

One-way Explainability Isn't The Message.
CoRR, 2022

A Program-Synthesis Challenge for ARC-Like Tasks.
Proceedings of the Inductive Logic Programming - 31st International Conference, 2022

Discovering Periodicity in Locally Repeating Patterns.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Sequential pattern detection for identifying courses of treatment and anomalous claim behaviour in medical insurance.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020
Using a Semi-Evolutionary Algorithm to Optimize Deep Network Hyper-Parameters with an Application to Donor Detection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

From Reward to Histone: Combining Temporal-Difference Learning and Epigenetic Inheritance for Swarm's Coevolving Decision Making.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

2019
Logical Explanations for Deep Relational Machines Using Relevance Information.
J. Mach. Learn. Res., 2019

2018
Identification of biological transition systems using meta-interpreted logic programs.
Mach. Learn., 2018

Analysing TV Audience Engagement via Twitter: Incremental Segment-Level Opinion Mining of Second Screen Tweets.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Knowledge Acquisition Method for Event Extraction and Coding Based on Deep Patterns.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2018

The Risks of Low Level Narrow Artificial Intelligence.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2018

Using Word Embeddings with Linear Models for Short Text Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Structured Induction.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

An empirical study of on-line models for relational data streams.
Mach. Learn., 2017

B-CNN: Branch Convolutional Neural Network for Hierarchical Classification.
CoRR, 2017

Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems.
CoRR, 2017

An Investigation into the Role of Domain-Knowledge on the Use of Embeddings.
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

A Joint Human/Machine Process for Coding Events and Conflict Drivers.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
Data mining for building knowledge bases: techniques, architectures and applications.
Knowl. Eng. Rev., 2016

2015
Collaborative Filtering for people-to-people recommendation in online dating: Data analysis and user trial.
Int. J. Hum. Comput. Stud., 2015

A Deployed People-to-People Recommender System in Online Dating.
AI Mag., 2015

Identification of Transition Models of Biological Systems in the Presence of Transition Noise.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

2014
Combining Career Progression and Profile Matching in a Job Recommender System.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Evaluation and Deployment of a People-to-People Recommender in Online Dating.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A people-to-people content-based reciprocal recommender using hidden markov models.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012
Hybrid Techniques to Address Cold Start Problems for People to People Recommendation in Social Networks.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Reciprocal and Heterogeneous Link Prediction in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Using a Critic to Promote Less Popular Candidates in a People-to-People Recommender System.
Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012

People-to-People Recommendation Using Multiple Compatible Subgroups.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Instructional Support for Teachers and Guided Feedback for Students in an Adaptive eLearning Environment.
Proceedings of the Eighth International Conference on Information Technology: New Generations, 2011

Knowledge-Guided Identification of Petri Net Models of Large Biological Systems.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Learning to Make Social Recommendations: A Model-Based Approach.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Structured Induction.
Proceedings of the Encyclopedia of Machine Learning, 2010

Learning with Gene Ontology Annotation Using Feature Selection and Construction.
Appl. Artif. Intell., 2010

Interaction-Based Collaborative Filtering Methods for Recommendation in Online Dating.
Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

People Recommendation Based on Aggregated Bidirectional Intentions in Social Network Site.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

Adaptive Tutorials for Virtual Microscopy: A Design Paradigm to Promote Pedagogical Ownership.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Learning Collaborative Filtering and Its Application to People to People Recommendation in Social Networks.
Proceedings of the ICDM 2010, 2010

Automated Recommendation Rule Acquisition for Two-Way Interaction-based Social Network Web Sites.
Proceedings of the EKAW2010 Poster and Demo Track, Lisbon, Portugal, October 11 - 15, 2010, 2010

Collaborative Filtering for People to People Recommendation in Social Networks.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009
A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive Tutorials.
Proceedings of the Educational Data Mining, 2009

Mining Minimal Constrained Flow Cycles from Complex Transaction Data.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2007
iHMMune-align: hidden Markov model-based alignment and identification of germline genes in rearranged immunoglobulin gene sequences.
Bioinform., 2007

Virtual Apparatus Framework Approach to Constructing Adaptive Tutorials.
Proceedings of the 2007 International Conference on E-Learning, 2007

2004
Predicate Invention and the Revision of First-Order Concept Lattices.
Proceedings of the Concept Lattices, 2004

2003
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming.
J. Mach. Learn. Res., 2003

Inductive Construction of Ontologies from Formal Concept Analysis.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002
Structured Features from Concept Lattices for Unsupervised Learning and Classification.
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2000
Motor Skill as Dynamic Constraint Satisfaction.
Electron. Trans. Artif. Intell., 2000

1999
Analogical Prediction.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1995
A Framework for Behavioural Cloning.
Proceedings of the Machine Intelligence 15, 1995

1994
Chess (King-Rook vs. King).
Dataset, May, 1994

1993
Inductive Logic Programming With Large-Scale Unstructured Data.
Proceedings of the Machine Intelligence 14, 1993

1992
The Justification of Logical Theories based on Data Compression.
Proceedings of the Machine Intelligence 13, 1992

Learning optimal chess strategies.
Proceedings of the Machine Intelligence 13, 1992

Compression, Significance, and Accuracy.
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991
Experiments in Non-Monotonic Learning.
Proceedings of the Eighth International Workshop (ML91), 1991

1989
Machines That Learn and Machines That Teach.
Proceedings of the Second Scandinavian Conference on Artificial Intelligence 1989, 1989

An Experimental Comparison of Human and Machine Learning Formalisms.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989


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