Michael Bain - RankMe

77 papers A* 2A 1B 12C 6Misc 1Journal 26Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods. CoRR Lilian Some, Wenli Yang, Michael Bain, Byeong Ho Kang
2025	J	`jnl`	A comprehensive survey on integrating large language models with knowledge-based methods. Knowl. Based Syst. Wenli Yang, Lilian Some, Michael Bain, Byeong Ho Kang
2025	J	`jnl`	A model for intelligible interaction between agents that predict and explain. Mach. Learn. A. Baskar, Ashwin Srinivasan, Michael Bain, Enrico W. Coiera
2025	J	`jnl`	Editorial: Natural language processing for recommender systems. Frontiers Big Data Alfred Krzywicki, Michael Bain, Wayne Wobcke
2025	J	`jnl`	Structured Program Synthesis using LLMs: Results and Insights from the IPARC Challenge. CoRR Shraddha Surana, Ashwin Srinivasan, Michael Bain
2025	J	`jnl`	Symbolic Neural Generation with Applications to Lead Discovery in Drug Design. CoRR Ashwin Srinivasan, A. Baskar, Tirtharaj Dash, Michael Bain, Sanjay Kumar Dey, Mainak Banerjee
2024	—	`conf`	Charting a Fair Path: FaGGM Fairness-Aware Generative Graphical Models. AI (1) Vivian Wei Jiang, Gustavo Batista, Michael Bain
2024	J	`jnl`	The neural democratisation of AI. AI Soc. Michael Bain, Allan McCay
2024	C	`conf`	Towards Responsible Decisions with Limited Training Data Using Human-in-the-Loop. PKAW Ashesh Mahidadia, Michael Bain, Hendra Suryanto, Byeong Kang, Charles Guan, Paul Compton
2023	J	`jnl`	A Protocol for Intelligible Interaction Between Agents That Learn and Explain. CoRR Ashwin Srinivasan, Michael Bain, A. Baskar, Enrico W. Coiera
2023	—	`conf`	Context Discovery and Cost Prediction for Detection of Anomalous Medical Claims, with Ontology Structure Providing Domain Knowledge. HEALTHINF James Kemp, Christopher Barker, Norm Good, Michael Bain
2023	J	`jnl`	Defining Reference Sequences for Nocardia Species by Similarity and Clustering Analyses of 16S rRNA Gene Sequence Data. CoRR Manal Helal, Fanrong Kong, Sharon C. A. Chen, Michael Bain, Richard Christen, Vitali Sintchenko
2023	—	`conf`	Developing an anomaly detection framework for Medicare claims. ACSW James Kemp, Christopher Barker, Norm Good, Michael Bain
2023	—	`conf`	Graphical Association Analysis for Identifying Variation in Provider Claims for Joint Replacement Surgery. MedInfo James Kemp, Christopher Barker, Norm Good, Michael Bain
2023	J	`jnl`	Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition. Hum. Centric Intell. Syst. Charles Guan, Hendra Suryanto, Ashesh Mahidadia, Michael Bain, Paul Compton
2022	B	`conf`	A Program-Synthesis Challenge for ARC-Like Tasks. ILP Aditya Challa, Ashwin Srinivasan, Michael Bain, Gautam Shroff
2022	J	`jnl`	Credit Risk Modeling Using Transfer Learning and Domain Adaptation. Frontiers Artif. Intell. Hendra Suryanto, Ashesh Mahidadia, Michael Bain, Charles Guan, Ada Guan
2022	B	`conf`	Discovering Periodicity in Locally Repeating Patterns. DSAA Alfred Krzywicki, Ashesh Mahidadia, Michael Bain
2022	J	`jnl`	Learning explanations for biological feedback with delays using an event calculus. Mach. Learn. Ashwin Srinivasan, Michael Bain, A. Baskar
2022	J	`jnl`	One-way Explainability Isn't The Message. CoRR Ashwin Srinivasan, Michael Bain, Enrico W. Coiera
2022	J	`jnl`	Optimizing weighted lazy learning and Naive Bayes classification using differential evolution algorithm. J. Ambient Intell. Humaniz. Comput. Yu Bai, Michael Bain
2022	—	`conf`	Sequential pattern detection for identifying courses of treatment and anomalous claim behaviour in medical insurance. BIBM James Kemp, Christopher Barker, Norm Good, Michael Bain
2020	—	`conf`	From Reward to Histone: Combining Temporal-Difference Learning and Epigenetic Inheritance for Swarm's Coevolving Decision Making. ICDL-EPIROB Faqihza Mukhlish, John Page, Michael Bain
2020	—	`conf`	Using a Semi-Evolutionary Algorithm to Optimize Deep Network Hyper-Parameters with an Application to Donor Detection. SSCI Yu Bai, Michael Bain
2019	J	`jnl`	Logical Explanations for Deep Relational Machines Using Relevance Information. J. Mach. Learn. Res. Ashwin Srinivasan, Lovekesh Vig, Michael Bain
2018	C	`conf`	A Knowledge Acquisition Method for Event Extraction and Coding Based on Deep Patterns. PKAW Alfred Krzywicki, Wayne Wobcke, Michael Bain, Susanne Schmeidl, Bradford Heap
2018	B	`conf`	Analysing TV Audience Engagement via Twitter: Incremental Segment-Level Opinion Mining of Second Screen Tweets. PRICAI Gavin Katz, Bradford Heap, Wayne Wobcke, Michael Bain, Sandeepa Kannangara
2018	J	`jnl`	Identification of biological transition systems using meta-interpreted logic programs. Mach. Learn. Michael Bain, Ashwin Srinivasan
2018	J	`jnl`	Logical Explanations for Deep Relational Machines Using Relevance Information. CoRR Ashwin Srinivasan, Lovekesh Vig, Michael Bain
2018	—	`conf`	The Risks of Low Level Narrow Artificial Intelligence. ISR John Page, Michael Bain, Faqihza Mukhlish
2018	—	`conf`	Using Word Embeddings with Linear Models for Short Text Classification. Australasian Conference on Artificial Intelligence Alfred Krzywicki, Bradford Heap, Michael Bain, Wayne Wobcke, Susanne Schmeidl
2017	C	`conf`	A Joint Human/Machine Process for Coding Events and Conflict Drivers. ADMA Bradford Heap, Alfred Krzywicki, Susanne Schmeidl, Wayne Wobcke, Michael Bain
2017	B	`conf`	An Investigation into the Role of Domain-Knowledge on the Use of Embeddings. ILP Lovekesh Vig, Ashwin Srinivasan, Michael Bain, Ankit Verma
2017	J	`jnl`	An empirical study of on-line models for relational data streams. Mach. Learn. Ashwin Srinivasan, Michael Bain
2017	J	`jnl`	B-CNN: Branch Convolutional Neural Network for Hierarchical Classification. CoRR Xinqi Zhu, Michael Bain
2017	—	`ch.`	Structured Induction. Encyclopedia of Machine Learning and Data Mining Michael Bain
2017	J	`jnl`	Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems. CoRR Bradford Heap, Michael Bain, Wayne Wobcke, Alfred Krzywicki, Susanne Schmeidl
2016	J	`jnl`	Data mining for building knowledge bases: techniques, architectures and applications. Knowl. Eng. Rev. Alfred Krzywicki, Wayne Wobcke, Michael Bain, John Calvo Martinez, Paul Compton
2015	J	`jnl`	A Deployed People-to-People Recommender System in Online Dating. AI Mag. Wayne Wobcke, Alfred Krzywicki, Yang Sok Kim, Xiongcai Cai, Michael Bain, Paul Compton, Ashesh Mahidadia
2015	J	`jnl`	Collaborative Filtering for people-to-people recommendation in online dating: Data analysis and user trial. Int. J. Hum. Comput. Stud. Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Xiongcai Cai, Michael Bain, Ashesh Mahidadia, Paul Compton
2015	B	`conf`	Identification of Transition Models of Biological Systems in the Presence of Transition Noise. ILP Ashwin Srinivasan, Michael Bain, Deepika Vatsa, Sumeet Agarwal
2014	B	`conf`	Combining Career Progression and Profile Matching in a Job Recommender System. PRICAI Bradford Heap, Alfred Krzywicki, Wayne Wobcke, Michael Bain, Paul Compton
2014	A*	`conf`	Evaluation and Deployment of a People-to-People Recommender in Online Dating. AAAI Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Xiongcai Cai, Michael Bain, Paul Compton, Ashesh Mahidadia
2013	A	`conf`	A people-to-people content-based reciprocal recommender using hidden markov models. RecSys Ammar S. Alanazi, Michael Bain
2013	—	`conf`	ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation. PAKDD (2) Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia
2012	B	`conf`	Hybrid Techniques to Address Cold Start Problems for People to People Recommendation in Social Networks. PRICAI Yang Sok Kim, Alfred Krzywicki, Wayne Wobcke, Ashesh Mahidadia, Paul Compton, Xiongcai Cai, Michael Bain
2012	—	`conf`	People-to-People Recommendation Using Multiple Compatible Subgroups. Australasian Conference on Artificial Intelligence Yang Sok Kim, Ashesh Mahidadia, Paul Compton, Alfred Krzywicki, Wayne Wobcke, Xiongcai Cai, Michael Bain
2012	—	`conf`	Reciprocal and Heterogeneous Link Prediction in Social Networks. PAKDD (2) Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia
2012	C	`conf`	Using a Critic to Promote Less Popular Candidates in a People-to-People Recommender System. IAAI Alfred Krzywicki, Wayne Wobcke, Xiongcai Cai, Michael Bain, Ashesh Mahidadia, Paul Compton, Yang Sok Kim
2011	—	`conf`	Instructional Support for Teachers and Guided Feedback for Students in an Adaptive eLearning Environment. ITNG Nadine Marcus, Dror Ben-Naim, Michael Bain
2011	B	`conf`	Knowledge-Guided Identification of Petri Net Models of Large Biological Systems. ILP Ashwin Srinivasan, Michael Bain
2011	—	`conf`	Learning to Make Social Recommendations: A Model-Based Approach. ADMA (2) Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia
2010	B	`conf`	Adaptive Tutorials for Virtual Microscopy: A Design Paradigm to Promote Pedagogical Ownership. Intelligent Tutoring Systems (2) Dror Ben-Naim, Gary Velan, Nadine Marcus, Michael Bain
2010	—	`conf`	Automated Recommendation Rule Acquisition for Two-Way Interaction-based Social Network Web Sites. EKAW (Posters and Demos) Yang Sok Kim, Ashesh Mahidadia, Paul Compton, Alfred Krzywicki, Wayne Wobcke, Michael Bain, Xiongcai Cai
2010	—	`conf`	Collaborative Filtering for People to People Recommendation in Social Networks. Australasian Conference on Artificial Intelligence Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia
2010	B	`conf`	Interaction-Based Collaborative Filtering Methods for Recommendation in Online Dating. WISE Alfred Krzywicki, Wayne Wobcke, Xiongcai Cai, Ashesh Mahidadia, Michael Bain, Paul Compton, Yang Sok Kim
2010	A*	`conf`	Learning Collaborative Filtering and Its Application to People to People Recommendation in Social Networks. ICDM Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia
2010	J	`jnl`	Learning with Gene Ontology Annotation Using Feature Selection and Construction. Appl. Artif. Intell. Elma Akand, Michael Bain, Mark D. Temple
2010	C	`conf`	People Recommendation Based on Aggregated Bidirectional Intentions in Social Network Site. PKAW Yang Sok Kim, Ashesh Mahidadia, Paul Compton, Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke
2010	—	`ch.`	Structured Induction. Encyclopedia of Machine Learning Michael Bain
2009	B	`conf`	A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive Tutorials. EDM Dror Ben-Naim, Michael Bain, Nadine Marcus
2009	Misc	`conf`	Mining Minimal Constrained Flow Cycles from Complex Transaction Data. AusDM Meng Xu, Michael Bain
2007	—	`conf`	Virtual Apparatus Framework Approach to Constructing Adaptive Tutorials. CSREA EEE Dror Ben-Naim, Nadine Marcus, Michael Bain
2004	C	`conf`	Predicate Invention and the Revision of First-Order Concept Lattices. ICFCA Michael Bain
2003	J	`jnl`	An Empirical Study of the Use of Relevance Information in Inductive Logic Programming. J. Mach. Learn. Res. Ashwin Srinivasan, Ross D. King, Michael Bain
2003	—	`conf`	Inductive Construction of Ontologies from Formal Concept Analysis. Australian Conference on Artificial Intelligence Michael Bain
2002	—	`conf`	Structured Features from Concept Lattices for Unsupervised Learning and Classification. Australian Joint Conference on Artificial Intelligence Michael Bain
2000	J	`jnl`	Motor Skill as Dynamic Constraint Satisfaction. Electron. Trans. Artif. Intell. Ken Ueno, Koichi Furukawa, Michael Bain
1999	B	`conf`	Analogical Prediction. ILP Stephen H. Muggleton, Michael Bain
1995	—	`conf`	A Framework for Behavioural Cloning. Machine Intelligence 15 Michael Bain, Claude Sammut
1993	—	`conf`	Inductive Logic Programming With Large-Scale Unstructured Data. Machine Intelligence 14 Michael Bain, Ashwin Srinivasan
1992	—	`conf`	Compression, Significance, and Accuracy. ML Stephen H. Muggleton, Ashwin Srinivasan, Michael Bain
1992	—	`conf`	Learning optimal chess strategies. Machine Intelligence 13 Michael Bain, Stephen H. Muggleton
1992	—	`conf`	The Justification of Logical Theories based on Data Compression. Machine Intelligence 13 Ashwin Srinivasan, Stephen H. Muggleton, Michael Bain
1991	—	`conf`	Experiments in Non-Monotonic Learning. ML Michael Bain
1989	—	`conf`	An Experimental Comparison of Human and Machine Learning Formalisms. ML Stephen H. Muggleton, Michael Bain, Jean Hayes Michie, Donald Michie
1989	—	`conf`	Machines That Learn and Machines That Teach. SCAI Donald Michie, Michael Bain