Michael Bain

发表

Visual analytics of signalling pathways using time profiles.

Sandeep Kaur, David K G Ma, Christian Stolte, 2015, Advances in experimental medicine and biology.

Using a Semi-Evolutionary Algorithm to Optimize Deep Network Hyper-Parameters with an Application to Donor Detection

Yu Bai, Michael Bain, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Distinguishing Exceptions From Noise in Non-Monotonic Learning

Ashwin Srinivasan, Michael Bain, Stephen Muggleton, 1992 .

Learning Collaborative Filtering and Its Application to People to People Recommendation in Social Networks

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2010, 2010 IEEE International Conference on Data Mining.

Structured Induction

Michael Bain, 2010, Encyclopedia of Machine Learning.

Intern Training of Artificial Intelligence Systems

Faqihza Mukhlish, Michael Bain, John Page, 2019, 2019 6th International Conference on Instrumentation, Control, and Automation (ICA).

A Knowledge Acquisition Method for Event Extraction and Coding Based on Deep Patterns

Michael Bain, Alfred Krzywicki, Wayne Wobcke, 2018, PKAW.

Large aircraft takeoff path optimization out of terrain challenging airports

Michael Bain, John Page, Bertrand Masson, 2011 .

Collaborative Filtering for people-to-people recommendation in online dating: Data analysis and user trial

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2015, Int. J. Hum. Comput. Stud..

Machine-learned rule-based control

Michael Bain, 1990 .

Machines That Learn and Machines That Teach

Donald Michie, Michael Bain, 1989, SCAI.

A Deployed People-to-People Recommender System in Online Dating

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2015, AI Mag..

Inductive Logic Programming With Large-Scale Unstructured Data

Ashwin Srinivasan, Michael Bain, 1993, Machine Intelligence 14.

ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2013, PAKDD.

Learning from ontological annotation: an application of formal concept analysis to feature construction in the gene ontology

Michael Bain, Elma Akand, Mark D. Temple, 2007 .

A Framework for Behavioural Cloning

Claude Sammut, Michael Bain, C. Sammut, 1995, Machine Intelligence 15.

An empirical study of on-line models for relational data streams

Ashwin Srinivasan, Michael Bain, A. Srinivasan, 2017, Machine Learning.

Structured Features from Concept Lattices for Unsupervised Learning and Classification

Michael Bain, 2002, Australian Joint Conference on Artificial Intelligence.

Knowledge-Guided Identification of Petri Net Models of Large Biological Systems

Ashwin Srinivasan, Michael Bain, A. Srinivasan, 2011, ILP.

Engine-Out Takeoff Path Optimization out of Terrain Challenging Airports

Michael Bain, John Page, Bertrand Masson, 2011 .

Analysing TV Audience Engagement via Twitter: Incremental Segment-Level Opinion Mining of Second Screen Tweets

Michael Bain, Wayne Wobcke, Bradford Heap, 2018, PRICAI.

Motor Skill as Dynamic Constraint Satisfaction

Koichi Furukawa, Michael Bain, Ken Ueno, 2000, Electron. Trans. Artif. Intell..

A people-to-people content-based reciprocal recommender using hidden markov models

Michael Bain, Ammar Alanazi, Ammar S. Alanazi, 2013, RecSys.

Virtual Apparatus Framework Approach to Constructing Adaptive Tutorials

Michael Bain, Dror Ben-Naim, Nadine Marcus, 2007, CSREA EEE.

A Joint Human/Machine Process for Coding Events and Conflict Drivers

Michael Bain, Alfred Krzywicki, Wayne Wobcke, 2017, ADMA.

Evolutionary-learning framework: improving automatic swarm robotics design

Faqihza Mukhlish, Michael Bain, John Page, 2018, International Journal of Intelligent Unmanned Systems.

ReDuce: Automatic Structuring and Compression in Relational Databases

Claude Sammut, John Shepherd, Michael Bain, 2007 .

Logical Explanations for Deep Relational Machines Using Relevance Information

Lovekesh Vig, Ashwin Srinivasan, Michael Bain, 2018, J. Mach. Learn. Res..

Learning optimal chess strategies

Stephen Muggleton, Michael Bain, S. Muggleton, 1994, Machine Intelligence 13.

Identification of Transition Models of Biological Systems in the Presence of Transition Noise

Ashwin Srinivasan, Michael Bain, Sumeet Agarwal, 2015, ILP.

The Risks of Low Level Narrow Artificial Intelligence

Faqihza Mukhlish, Michael Bain, John Page, 2018, 2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR).

Experiments in Non-Monotonic Learning

Michael Bain, Michael Bain, 1991, ML.

Hybrid Techniques to Address Cold Start Problems for People to People Recommendation in Social Networks

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2012, PRICAI.

Non-monotonic learning

Stephen Muggleton, Michael Bain, S. Muggleton, 1991 .

Using Word Embeddings with Linear Models for Short Text Classification

Michael Bain, Alfred Krzywicki, Wayne Wobcke, 2018, Australasian Conference on Artificial Intelligence.

Mining Minimal Constrained Flow Cycles from Complex Transaction Data

Meng Xu, Michael Bain, 2009, AusDM.

A visual analytics approach to augmenting formal concepts with relational background knowledge in a biological domain

Mark D. Temple, Michael Bain, Elma Akand, 2010 .

Data mining for building knowledge bases: techniques, architectures and applications

Paul Compton, Michael Bain, Alfred Krzywicki, 2016, The Knowledge Engineering Review.

LEARNING WITH GENE ONTOLOGY ANNOTATION USING FEATURE SELECTION AND CONSTRUCTION

Mark D. Temple, Michael Bain, Elma Akand, 2010, Appl. Artif. Intell..

Reciprocal and Heterogeneous Link Prediction in Social Networks

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2012, PAKDD.

An Experimental Comparison of Human and Machine Learning Formalisms

Stephen Muggleton, Donald Michie, Michael Bain, 1989, ML.

Diverging Engine Failure Paths on Standard Instrument Departures

Michael Bain, John Page, Bertrand Masson, 2015 .

Analogical Prediction

Stephen Muggleton, Michael Bain, S. Muggleton, 1999, ILP.

Predicate Invention and the Revision of First-Order Concept Lattices

Michael Bain, Michael Bain, 2004, ICFCA.

Using a Critic to Promote Less Popular Candidates in a People-to-People Recommender System

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2012, IAAI.

From Reward to Histone: Combining Temporal-Difference Learning and Epigenetic Inheritance for Swarm's Coevolving Decision Making

Faqihza Mukhlish, Michael Bain, John Page, 2020, 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Collaborative Filtering for People to People Recommendation in Social Networks

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2010, Australasian Conference on Artificial Intelligence.

Inductive Construction of Ontologies from Formal Concept Analysis

Michael Bain, Michael Bain, 2003, Australian Conference on Artificial Intelligence.

A KNOWLEDGE ACQUISITION APPROACH FOR COMPOSITE AEROSPACE COMPONENT DESIGN

Michael Bain, Don Kelly, John Raju, 2004 .

Evaluation and Deployment of a People-to-People Recommender in Online Dating

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2014, AAAI.

Mdl Codes for Non-Monotonic Learning

Ashwin Srinivasan, Michael Bain, Stephen Muggleton, 1991 .

Learning causal networks from microarray data

Michael Bain, John Potter, Mark D. Temple, 2006 .

B-CNN: Branch Convolutional Neural Network for Hierarchical Classification pdf

Michael Bain, Xinqi Zhu, Michael Bain, 2017, ArXiv.

Learning to Make Social Recommendations: A Model-Based Approach

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2011, ADMA.

Interaction-Based Collaborative Filtering Methods for Recommendation in Online Dating

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2010, WISE.

Structured Induction

Michael Bain, 2017, Encyclopedia of Machine Learning and Data Mining.

The Justification of Logical Theories based on Data Compression

Ashwin Srinivasan, Stephen Muggleton, Michael Bain, 1994, Machine Intelligence 13.

Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems pdf

Michael Bain, Alfred Krzywicki, Wayne Wobcke, 2017, ArXiv.

Is engine failure on the runway at takeoff the most limiting case

Michael Bain, John Page, Bertrand Masson, 2015 .

Towards the collaborative development of machine learning techniques in planning support systems – a Sydney example:

Michael Bain, Oliver Lock, Christopher Pettit, 2020 .

People-to-People Recommendation Using Multiple Compatible Subgroups

Xiongcai Cai, Ashesh Mahidadia, Paul Compton, 2012, Australasian Conference on Artificial Intelligence.

An Empirical Study of the Use of Relevance Information in Inductive Logic Programming

Ashwin Srinivasan, Ross D. King, Michael Bain, 2003, J. Mach. Learn. Res..

Compression, Significance, and Accuracy

Ashwin Srinivasan, Stephen Muggleton, Michael Bain, 1992, ML.

Identification of biological transition systems using meta-interpreted logic programs

Ashwin Srinivasan, Michael Bain, A. Srinivasan, 2018, Machine Learning.

Learning explanations for biological feedback with delays using an event calculus

Ashwin Srinivasan, Michael Bain, A. Baskar, 2021, Machine Learning.

Optimizing weighted lazy learning and Naive Bayes classification using differential evolution algorithm

Michael Bain, Yu Bai, Michael Bain, 2021, Journal of Ambient Intelligence and Humanized Computing.