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ORCIDMichael Bain 0001
Person information
- affiliation: University of New South Wales, School of Computer Science and Engineering, Sydney, Australia
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2020 – today
- 2024
[i7]Yuyang Shu, Michael E. Bain:
Retina Vision Transformer (RetinaViT): Introducing Scaled Patches into Vision Transformers. CoRR abs/2403.13677 (2024)- 2023
- [j14]Charles Guan, Hendra Suryanto, Ashesh Mahidadia
, Michael Bain, Paul Compton:
Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition. Hum. Centric Intell. Syst. 3(3): 232-243 (2023) - [c47]James Kemp, Christopher Barker, Norm Good, Michael Bain:
Developing an anomaly detection framework for Medicare claims. ACSW 2023: 234-237 - [c46]James Kemp, Christopher Barker, Norm Good, Michael Bain:
Context Discovery and Cost Prediction for Detection of Anomalous Medical Claims, with Ontology Structure Providing Domain Knowledge. HEALTHINF 2023: 29-40 - [c45]James Kemp, Christopher Barker, Norm Good, Michael Bain:
Graphical Association Analysis for Identifying Variation in Provider Claims for Joint Replacement Surgery. MedInfo 2023: 805-809 - [i6]Ashwin Srinivasan, Michael Bain, A. Baskar, Enrico W. Coiera:
A Protocol for Intelligible Interaction Between Agents That Learn and Explain. CoRR abs/2301.01819 (2023) - [i5]Manal Helal, Fanrong Kong, Sharon C. A. Chen, Michael Bain, Richard Christen, Vitali Sintchenko:
Defining Reference Sequences for Nocardia Species by Similarity and Clustering Analyses of 16S rRNA Gene Sequence Data. CoRR abs/2311.17965 (2023) - 2022
- [j13]Hendra Suryanto, Ashesh Mahidadia, Michael Bain, Charles Guan, Ada Guan:
Credit Risk Modeling Using Transfer Learning and Domain Adaptation. Frontiers Artif. Intell. 5: 868232 (2022) - [j12]Yu Bai, Michael Bain:
Optimizing weighted lazy learning and Naive Bayes classification using differential evolution algorithm. J. Ambient Intell. Humaniz. Comput. 13(6): 3005-3024 (2022) - [j11]Ashwin Srinivasan, Michael Bain, A. Baskar:
Learning explanations for biological feedback with delays using an event calculus. Mach. Learn. 111(7): 2435-2487 (2022) - [c44]James Kemp, Christopher Barker, Norm Good, Michael Bain:
Sequential pattern detection for identifying courses of treatment and anomalous claim behaviour in medical insurance. BIBM 2022: 3039-3046 - [c43]Alfred Krzywicki, Ashesh Mahidadia, Michael Bain:
Discovering Periodicity in Locally Repeating Patterns. DSAA 2022: 1-10 - [c42]Aditya Challa, Ashwin Srinivasan, Michael Bain, Gautam Shroff:
A Program-Synthesis Challenge for ARC-Like Tasks. ILP 2022: 25-39 - [i4]Ashwin Srinivasan, Michael Bain, Enrico W. Coiera:
One-way Explainability Isn't The Message. CoRR abs/2205.08954 (2022) - 2020
- [c41]Faqihza Mukhlish, John Page, Michael Bain:
From Reward to Histone: Combining Temporal-Difference Learning and Epigenetic Inheritance for Swarm's Coevolving Decision Making. ICDL-EPIROB 2020: 1-6 - [c40]Yu Bai, Michael Bain:
Using a Semi-Evolutionary Algorithm to Optimize Deep Network Hyper-Parameters with an Application to Donor Detection. SSCI 2020: 2655-2662
2010 – 2019
- 2019
- [j10]Ashwin Srinivasan, Lovekesh Vig, Michael Bain:
Logical Explanations for Deep Relational Machines Using Relevance Information. J. Mach. Learn. Res. 20: 130:1-130:47 (2019) - 2018
- [j9]Michael Bain, Ashwin Srinivasan:
Identification of biological transition systems using meta-interpreted logic programs. Mach. Learn. 107(7): 1171-1206 (2018) - [c39]Alfred Krzywicki, Bradford Heap, Michael Bain, Wayne Wobcke, Susanne Schmeidl:
Using Word Embeddings with Linear Models for Short Text Classification. Australasian Conference on Artificial Intelligence 2018: 819-827 - [c38]John Page, Michael Bain, Faqihza Mukhlish:
The Risks of Low Level Narrow Artificial Intelligence. ISR 2018: 1-6 - [c37]Alfred Krzywicki, Wayne Wobcke, Michael Bain, Susanne Schmeidl, Bradford Heap:
A Knowledge Acquisition Method for Event Extraction and Coding Based on Deep Patterns. PKAW 2018: 16-31 - [c36]Gavin Katz, Bradford Heap, Wayne Wobcke, Michael Bain, Sandeepa Kannangara:
Analysing TV Audience Engagement via Twitter: Incremental Segment-Level Opinion Mining of Second Screen Tweets. PRICAI 2018: 300-308 - [i3]Ashwin Srinivasan, Lovekesh Vig, Michael Bain:
Logical Explanations for Deep Relational Machines Using Relevance Information. CoRR abs/1807.00595 (2018) - 2017
- [j8]Ashwin Srinivasan, Michael Bain:
An empirical study of on-line models for relational data streams. Mach. Learn. 106(2): 243-276 (2017) - [c35]Bradford Heap, Alfred Krzywicki, Susanne Schmeidl, Wayne Wobcke, Michael Bain:
A Joint Human/Machine Process for Coding Events and Conflict Drivers. ADMA 2017: 639-654 - [c34]Lovekesh Vig, Ashwin Srinivasan, Michael Bain, Ankit Verma:
An Investigation into the Role of Domain-Knowledge on the Use of Embeddings. ILP 2017: 169-183 - [r2]Michael Bain:
Structured Induction. Encyclopedia of Machine Learning and Data Mining 2017: 1201-1205 - [i2]Bradford Heap, Michael Bain, Wayne Wobcke, Alfred Krzywicki, Susanne Schmeidl:
Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems. CoRR abs/1709.05778 (2017) - [i1]Xinqi Zhu, Michael Bain:
B-CNN: Branch Convolutional Neural Network for Hierarchical Classification. CoRR abs/1709.09890 (2017) - 2016
- [j7]Alfred Krzywicki, Wayne Wobcke, Michael Bain, John Calvo Martinez, Paul Compton:
Data mining for building knowledge bases: techniques, architectures and applications. Knowl. Eng. Rev. 31(2): 97-123 (2016) - 2015
- [j6]Wayne Wobcke, Alfred Krzywicki, Yang Sok Kim, Xiongcai Cai, Michael Bain, Paul Compton, Ashesh Mahidadia:
A Deployed People-to-People Recommender System in Online Dating. AI Mag. 36(3): 5-18 (2015) - [j5]Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Xiongcai Cai, Michael Bain, Ashesh Mahidadia, Paul Compton:
Collaborative Filtering for people-to-people recommendation in online dating: Data analysis and user trial. Int. J. Hum. Comput. Stud. 76: 50-66 (2015) - [c33]Ashwin Srinivasan, Michael Bain, Deepika Vatsa, Sumeet Agarwal:
Identification of Transition Models of Biological Systems in the Presence of Transition Noise. ILP 2015: 200-214 - 2014
- [c32]Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Xiongcai Cai, Michael Bain, Paul Compton, Ashesh Mahidadia:
Evaluation and Deployment of a People-to-People Recommender in Online Dating. AAAI 2014: 2914-2921 - [c31]Bradford Heap, Alfred Krzywicki, Wayne Wobcke, Michael Bain, Paul Compton:
Combining Career Progression and Profile Matching in a Job Recommender System. PRICAI 2014: 396-408 - 2013
- [c30]Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang Sok Kim, Paul Compton, Ashesh Mahidadia:
ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation. PAKDD (2) 2013: 1-12 - [c29]Ammar Alanazi, Michael Bain:
A people-to-people content-based reciprocal recommender using hidden markov models. RecSys 2013: 303-306 - 2012
- [c28]Yang Sok Kim, Ashesh Mahidadia, Paul Compton, Alfred Krzywicki, Wayne Wobcke, Xiongcai Cai, Michael Bain:
People-to-People Recommendation Using Multiple Compatible Subgroups. Australasian Conference on Artificial Intelligence 2012: 61-72 - [c27]Alfred Krzywicki, Wayne Wobcke, Xiongcai Cai, Michael Bain, Ashesh Mahidadia, Paul Compton, Yang Sok Kim:
Using a Critic to Promote Less Popular Candidates in a People-to-People Recommender System. IAAI 2012: 2305-2310 - [c26]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 - [c25]Yang Sok Kim, Alfred Krzywicki, Wayne Wobcke, Ashesh Mahidadia, Paul Compton, Xiongcai Cai, Michael Bain:
Hybrid Techniques to Address Cold Start Problems for People to People Recommendation in Social Networks. PRICAI 2012: 206-217 - 2011
- [c24]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 - [c23]Ashwin Srinivasan, Michael Bain:
Knowledge-Guided Identification of Petri Net Models of Large Biological Systems. ILP 2011: 317-331 - [c22]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
- [j4]Elma Akand, Michael Bain, Mark D. Temple:
Learning with Gene Ontology Annotation Using Feature Selection and Construction. Appl. Artif. Intell. 24(1&2): 5-38 (2010) - [c21]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 - [c20]Yang Sok Kim, Ashesh Mahidadia, Paul Compton, Alfred Krzywicki, Wayne Wobcke, Michael Bain, Xiongcai Cai:
Automated Recommendation Rule Acquisition for Two-Way Interaction-based Social Network Web Sites. EKAW (Posters and Demos) 2010 - [c19]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 - [c18]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 - [c17]Yang Sok Kim, Ashesh Mahidadia, Paul Compton, Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke:
People Recommendation Based on Aggregated Bidirectional Intentions in Social Network Site. PKAW 2010: 247-260 - [c16]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 - [r1]Michael Bain:
Structured Induction. Encyclopedia of Machine Learning 2010: 930-933
2000 – 2009
- 2009
- [c15]Meng Xu, Michael Bain:
Mining Minimal Constrained Flow Cycles from Complex Transaction Data. AusDM 2009: 151-158 - [c14]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
- [j3]Bruno A. Gaëta, Harald R. Malming, Katherine J. L. Jackson, Michael E. Bain, Patrick Wilson, Andrew M. Collins:
iHMMune-align: hidden Markov model-based alignment and identification of germline genes in rearranged immunoglobulin gene sequences. Bioinform. 23(13): 1580-1587 (2007) - [c13]Dror Ben-Naim, Nadine Marcus, Michael Bain:
Virtual Apparatus Framework Approach to Constructing Adaptive Tutorials. CSREA EEE 2007: 3-10 - 2004
- [c12]Michael Bain:
Predicate Invention and the Revision of First-Order Concept Lattices. ICFCA 2004: 329-336 - 2003
- [j2]Ashwin Srinivasan, Ross D. King, Michael Bain:
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming. J. Mach. Learn. Res. 4: 369-383 (2003) - [c11]Michael Bain:
Inductive Construction of Ontologies from Formal Concept Analysis. Australian Conference on Artificial Intelligence 2003: 88-99 - 2002
- [c10]Michael Bain:
Structured Features from Concept Lattices for Unsupervised Learning and Classification. Australian Joint Conference on Artificial Intelligence 2002: 557-568 - 2000
- [j1]Ken Ueno, Koichi Furukawa, Michael Bain:
Motor Skill as Dynamic Constraint Satisfaction. Electron. Trans. Artif. Intell. 4(B): 83-96 (2000)
1990 – 1999
- 1999
- [c9]Stephen H. Muggleton, Michael Bain:
Analogical Prediction. ILP 1999: 234-244 - 1995
- [c8]Michael Bain, Claude Sammut:
A Framework for Behavioural Cloning. Machine Intelligence 15 1995: 103-129 - 1994
- [d1]Michael Bain, Arthur Hoff:
Chess (King-Rook vs. King). UCI Machine Learning Repository, 1994
- 1993
- [c7]Michael Bain, Ashwin Srinivasan:
Inductive Logic Programming With Large-Scale Unstructured Data. Machine Intelligence 14 1993: 235- - 1992
- [c6]Stephen H. Muggleton, Ashwin Srinivasan, Michael Bain:
Compression, Significance, and Accuracy. ML 1992: 338-347 - [c5]Ashwin Srinivasan, Stephen H. Muggleton, Michael Bain:
The Justification of Logical Theories based on Data Compression. Machine Intelligence 13 1992: 87-121 - [c4]Michael Bain, Stephen H. Muggleton:
Learning optimal chess strategies. Machine Intelligence 13 1992: 291-309 - 1991
- [c3]Michael Bain:
Experiments in Non-Monotonic Learning. ML 1991: 380-384
1980 – 1989
- 1989
- [c2]Stephen H. Muggleton, Michael Bain, Jean Hayes Michie, Donald Michie:
An Experimental Comparison of Human and Machine Learning Formalisms. ML 1989: 113-118 - [c1]Donald Michie, Michael Bain:
Machines That Learn and Machines That Teach. SCAI 1989: 1-25
Coauthor Index
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last updated on 2024-07-09 04:46 CEST by the dblp team
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