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Dr Michael Bain

Dr Michael Bain

Senior Lecturer
Engineering
Computer Science and Engineering

Senior Lecturer in the School of Computer Science and Engineering

Research interest

 

Level 1: I use artificial intelligence (AI) to engineer smart systems that learn from experience

Level 2: I take machine learning (ML) algorithms and combine them with declarative programming languages to work on complex data such as networks and dynamic models

Level 3: Combining ML and logic programming to develop explainable AI, we develop novel solutions in applications as diverse as computer chess, online dating and systems biology

 

Interest in engineering

Why did you get into engineering?

 

I got into engineering because I realised the best way for me to understand complex and interesting systems is to attempt to design and implement them

What are your research goals?

 

My research goals are to design and implement computational systems that can learn from experience what they need to know and what they need to do to achieve their design goals

What do people not understand about what you do?

 

People often don’t understand how difficult it can be to make computers able to do the kind of things they can already "do" in movies and on TV

Advice for prospective [insert school] engineers

 

Engineering can a long and twisty route with lots of intellectual foothills to climb but the sense of achievement from every summit you reach is unbeatable

 

Lectures/Courses taught

 

COMP9417 Machine Learning and Data Mining; BINF2010 Bioinformatics 1; BINF3010 Bioinformatics Methods and Applications; BINF3020 Computational Bioinformatics

 

Students (delete section if not applicable)

Number currently in lab: 8

Number graduated: 30+

Student Projects:

Projects are in a wide range of machine learning problems and applications in science and engineering. Examples are: bioinformatics and biomedical informatics; social networks and recommender systems; dynamic systems and control; and music.

Looking for students for projects related to:

 

Projects are available on a wide range of machine learning problems and applications in science and engineering. Examples are bioinformatics and biomedical informatics, social networks and recommender systems, dynamic systems and control, and music

Grants

Smart Services Cooperative Research Centre

Education

PhD

Statistics and Modelling Science, University of Strathclyde, UK

Undergraduate

BSc (Hons), University of Edinburgh, UK

 

Dr Michael Bain is a Senior Lecturer with the School of Computer Science and Engineering. His research interests include:

  • Machine Learning
  • Inductive Logic Programming
  • Behavioural Cloning
  • Formal Concept Analysis
  • Bioinformatics
Phone
+61 2 9385 6935
E-mail
m.bain@unsw.edu.au
Location
Computer Science and Engineering (K17) Level 4, Room 401H Kensington Campus
  • Book Chapters | 2025
    Mahidadia A; Bain M; Suryanto H; Kang B; Guan C; Compton P, 2025, 'Towards Responsible Decisions with Limited Training Data Using Human-in-the-Loop', in , pp. 42 - 54, http://dx.doi.org/10.1007/978-981-96-0026-7_4
    Book Chapters | 2024
    Kemp J; Barker C; Good N; Bain M, 2024, 'Graphical Association Analysis for Identifying Variation in Provider Claims for Joint Replacement Surgery', in , pp. 805 - 809, http://dx.doi.org/10.3233/SHTI231076
    Book Chapters | 2024
    Kemp J; Barker C; Good N; Bain M, 2024, 'Topic Modelling and Interpretable Cost Estimation for Medical Insurance Fraud Detection', in , pp. 60 - 83, http://dx.doi.org/10.1007/978-3-031-67088-6_4
    Book Chapters | 2017
    Bain M, 2017, 'Structured Induction', in Encyclopedia of Machine Learning and Data Mining, Springer US, pp. 1201 - 1205, http://dx.doi.org/10.1007/978-1-4899-7687-1_796
    Book Chapters | 2014
    Heap B; Krzywicki A; Wobcke W; Bain M; Compton P, 2014, 'Combining Career Progression and Profile Matching in a Job Recommender System', in Lecture Notes in Computer Science, Springer International Publishing, pp. 396 - 408, http://dx.doi.org/10.1007/978-3-319-13560-1_32
    Book Chapters | 2014
    Ma DKG; Stolte C; Kaur S; Bain M; O Donoghue SI, 2014, 'Visual analytics of signalling pathways using time profiles', in Sun C; Bednarz T; Pham TD; Vallotton P; Wang D (ed.), Signal and Image Analysis for Biomedical and Life Sciences, pp. 3 - 22
    Book Chapters | 2011
    Bain M, 2011, 'Structured Induction', in Sammut C; Webb GI (ed.), Encyclopedia of Machine Learning, Springer US, pp. 930 - 933, http://dx.doi.org/10.1007/978-0-387-30164-8_796
    Book Chapters | 2011
    Wearing MJ, 2011, 'Preface', in Wearing M (ed.), Social Identity, Nova Science Publishers, 2011, pp. vii - xvii, https://www.novapublishers.com/catalog/product_info.php?products_id=20455
    Book Chapters | 2010
    Ben-Naim D; Velan GM; Marcus N; Bain M, 2010, 'Adaptive Tutorials for Virtual Microscopy: A Design Paradigm to Promote Pedagogical Ownership.', in Aleven V; Kay J; Mostow J (ed.), Intelligent Tutoring Systems 10th International Conference, ITS 2010, Pittsburgh, PA, USA, June 14-18, 2010, Proceedings, Springer Science & Business Media, pp. 266 - 268, http://dx.doi.org/10.1007/978-3-642-13437-1_40
  • Journal articles | 2024
    Bain M; McCay A, 2024, 'The neural democratisation of AI', AI and Society, 39, pp. 2589 - 2591, http://dx.doi.org/10.1007/s00146-023-01706-0
    Journal articles | 2023
    Guan C; Suryanto H; Mahidadia A; Bain M; Compton P, 2023, 'Responsible Credit Risk Assessment with Machine Learning and Knowledge Acquisition', Human-Centric Intelligent Systems, 3, pp. 232 - 243, http://dx.doi.org/10.1007/s44230-023-00035-1
    Journal articles | 2022
    Bai Y; Bain M, 2022, 'Optimizing weighted lazy learning and Naive Bayes classification using differential evolution algorithm', Journal of Ambient Intelligence and Humanized Computing, 13, pp. 3005 - 3024, http://dx.doi.org/10.1007/s12652-021-03135-7
    Journal articles | 2022
    Page J; Mukhlish F; Bain M, 2022, 'Ensuring the Alignment of Genetic/Epigenetic Designed Swarms.', Mathematical Machines and Systems. 2022 #1, 1, pp. 3 - 11, http://dx.doi.org/10.34121/1028-9763-2022-1-3-11
    Journal articles | 2022
    Srinivasan A; Bain M; Baskar A, 2022, 'Learning explanations for biological feedback with delays using an event calculus', Machine Learning, 111, pp. 2435 - 2487, http://dx.doi.org/10.1007/s10994-021-06038-y
    Journal articles | 2022
    Suryanto H; Mahidadia A; Bain M; Guan C; Guan A, 2022, 'Credit Risk Modeling Using Transfer Learning and Domain Adaptation', Frontiers in Artificial Intelligence, 5, http://dx.doi.org/10.3389/frai.2022.868232
    Journal articles | 2021
    Lock O; Bain M; Pettit C, 2021, 'Towards the collaborative development of machine learning techniques in planning support systems – a Sydney example', Environment and Planning B: Urban Analytics and City Science, 48, pp. 484 - 502, http://dx.doi.org/10.1177/2399808320939974
    Journal articles | 2020
    Mukhlish F; Page J; Bain M, 2020, 'Reward-based epigenetic learning algorithm for a decentralised multi-agent system', International Journal of Intelligent Unmanned Systems, 8, pp. 201 - 224, http://dx.doi.org/10.1108/IJIUS-12-2018-0036
    Journal articles | 2019
    Mukhlish F; Page J; Bain M, 2019, 'TEKNOLOGI ROBOT KAWANAN (SWARM ROBOTICS) UNTUK MISI PENCARIAN DAN PERTOLONGAN DI INDONESIA', Seminar Nasional Kontrol Instrumentasi dan Otomasi (SNIKO) 2015, http://dx.doi.org/10.5614/sniko.2018.47
    Journal articles | 2019
    Srinivasan A; Vig L; Bain M, 2019, 'Logical explanations for deep relational machines using relevance information', Journal of Machine Learning Research, 20
    Journal articles | 2018
    Bain M; Srinivasan A, 2018, 'Identification of biological transition systems using meta-interpreted logic programs', Machine Learning, 107, pp. 1171 - 1206, http://dx.doi.org/10.1007/s10994-018-5709-1
    Journal articles | 2018
    Mukhlish F; Page J; Bain M, 2018, 'Evolutionary-learning framework: improving automatic swarm robotics design', International Journal of Intelligent Unmanned Systems, 6, pp. 197 - 215, http://dx.doi.org/10.1108/IJIUS-06-2018-0016
    Journal articles | 2017
    Heap B; Bain M; Wobcke W; Krzywicki A; Schmeidl S, 2017, 'Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems.', CoRR, abs/1709.05778
    Journal articles | 2016
    Krzywicki A; Wobcke W; Bain M; Calvo Martinez J; Compton P, 2016, 'Data mining for building knowledge bases: Techniques, architectures and applications', Knowledge Engineering Review, 31, pp. 97 - 123, http://dx.doi.org/10.1017/S0269888916000047
    Journal articles | 2015
    Krzywicki A; Wobcke W; Kim YS; Cai X; Bain M; Mahidadia A; Compton P, 2015, 'Collaborative Filtering for people-to-people recommendation in online dating: Data analysis and user trial', International Journal of Human-Computer Studies, 76, pp. 50 - 66, http://dx.doi.org/10.1016/j.ijhcs.2014.12.003
    Journal articles | 2015
    Masson B; Bain M; Page J, 2015, 'Large Aircraft Engine-Out Takeoff Path Optimization', Journal of Aerospace Operations
    Journal articles | 2015
    wobcke W; Krzywicki A; Kim Y; Cai X; Bain M; Compton P; Mahidadia A, 2015, 'A Deployed People-to-People Recommender System in Online Dating', AI Magazine, 36, http://dx.doi.org/10.1609/aimag.v36i3.2599
    Journal articles | 2010
    Akand E; Bain M; Temple M, 2010, 'Learning with gene ontology annotation using feature selection and construction', Applied Artificial Intelligence, 24, pp. 5 - 38, http://dx.doi.org/10.1080/08839510903448627
    Journal articles | 2009
    Kadupitige ; Leung KC; Sellmeier J; Sivieng J; Catchpoole DR; Bain ME; Gaeta BA, 2009, 'MINER: exploratory analysis of gene interaction networks by machine learning from expression data', BMC Genomics, 10 Suppl 3, pp. S17, http://dx.doi.org/10.1186/1471-2164-10-S3-S17
    Journal articles | 2007
    Gaeta BA; Malming H; Jackson KJ; Bain ME; Wilson PD; Collins AM, 2007, 'iHMMune-align: hidden Markov model-based alignment and identification of germline genes in rearranged immunoglobulin gene sequences', Bioinformatics, 23, pp. 1580 - 1587
    Journal articles | 2006
    Lee CE; Gaeta BA; Malming H; Bain ME; Sewell WA; Collins AM, 2006, 'Reconsidering the human immunoglobulin heavy-chain locus: 1. An evaluation of the expressed human IGHD gene repertoire', Immunogenetics, 57, pp. 917 - 925
    Journal articles | 2003
    Srinivasan A; King R; Bain ME, 2003, 'An Empirical Study of the use of Relevance Information in Inductive Logic Programming', Journal of Machine Learning Research, 4, pp. 369 - 383
    Journal articles | 2001
    Bain ME; Furukawa K; Ueno K, 2001, 'Motor Skill as Dynamic Constraint Satisfaction', Electronic Transactions on Artificial Intelligence, pp. 79 - 92
  • Conference Papers | 2025
    Jiang VW; Batista G; Bain M, 2025, 'Charting a Fair Path: FaGGM Fairness-Aware Generative Graphical Models', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 171 - 185, http://dx.doi.org/10.1007/978-981-96-0348-0_13
    Conference Papers | 2024
    Challa A; Srinivasan A; Bain M; Shroff G, 2024, 'A Program-Synthesis Challenge for ARC-Like Tasks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 25 - 39, http://dx.doi.org/10.1007/978-3-031-55630-2_3
    Conference Papers | 2023
    Kemp J; Barker C; Good N; Bain M, 2023, 'Context Discovery and Cost Prediction for Detection of Anomalous Medical Claims, with Ontology Structure Providing Domain Knowledge', in Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, SCITEPRESS - Science and Technology Publications, presented at 16th International Conference on Health Informatics, 16 February 2023 - 18 February 2023, http://dx.doi.org/10.5220/0011611000003414
    Conference Papers | 2023
    Kemp J; Barker C; Good N; Bain M, 2023, 'Developing an anomaly detection framework for Medicare claims', in ACM International Conference Proceeding Series, pp. 234 - 237, http://dx.doi.org/10.1145/3579375.3579410
    Conference Papers | 2022
    Kemp J; Barker C; Good N; Bain M, 2022, 'Sequential pattern detection for identifying courses of treatment and anomalous claim behaviour in medical insurance', in Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, pp. 3039 - 3046, http://dx.doi.org/10.1109/BIBM55620.2022.9995541
    Conference Papers | 2022
    Krzywicki A; Mahidadia A; Bain M, 2022, 'Discovering Periodicity in Locally Repeating Patterns', in Proceedings - 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA 2022, http://dx.doi.org/10.1109/DSAA54385.2022.10032435
    Conference Papers | 2021
    Page J; Mukhlish F; Bain M, 2021, 'Towards Motion Capture Using a Swarms of Drones', in Tan Tien N (ed.), Proceedings of 17th International Conference on Intelligent Unmanned Systems, International Society of Intelligent Unmanned Systems, Ho Ci Minh City, Viet Nam, presented at 17th International Conference on Intelligent Unmanned System, Ho Ci Minh City, Viet Nam, 25 August 2021 - 27 August 2021
    Conference Papers | 2020
    Bai Y; Bain M, 2020, 'Using a Semi-Evolutionary Algorithm to Optimize Deep Network Hyper-Parameters with an Application to Donor Detection', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2655 - 2662, http://dx.doi.org/10.1109/SSCI47803.2020.9308351
    Conference Papers | 2020
    Mukhlish F; Page J; Bain M, 2020, 'From Reward to Histone: Combining Temporal-Difference Learning and Epigenetic Inheritance for Swarm’s Coevolving Decision Making', in 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Institute of Electrical and Electronics Engineers (IEEE), Valparaíso, Chile, pp. 1 - 6, presented at 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Valparaíso, Chile, 26 October 2020 - 30 October 2020, http://dx.doi.org/10.1109/ICDL-EpiRob48136.2020.9278049
    Conference Presentations | 2019
    Mukhlish F; Page J; Bain M, 2019, 'Evolving Swarm for Search and Rescue Mission: Potential, Development and Risk', presented at The 15th International Conference on Intelligent Unmanned Systems, Beijing, China, 27 August 2019 - 30 August 2019
    Conference Papers | 2019
    Mukhlish F; Page J; Bain M, 2019, 'Reward-based Evolutionary Swarm UAVs on Search and Rescue Mission', in AEROSPACE - 18th Australian International Aerospace Congress, Engineers Australia, Royal Aeronautical Society, Melbourne, Australia, pp. 348 - 353, presented at AIAC 2018: 18th Australian International Aerospace Congress, Melbourne, Australia, 24 February 2019 - 26 February 2019
    Conference Papers | 2019
    Page J; Bain M; Mukhlish F, 2019, 'Intern Training of Artificial Intelligence Systems', in Juliastuti E (ed.), 2019 International Conference on Instrimentation, Control and Automation, IEEE, Bandung, Indoneasia, pp. 117 - 120, presented at 6th ICA 2019, Bandung, Indoneasia, 31 July 2019 - 02 August 2019, http://dx.doi.org/10.1109/ICA.2019.8916740
    Conference Papers | 2018
    Bain M, 2018, 'An investigation into the role of domain-knowledge on the use of embeddings', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Ferrara, Italy, pp. 169 - 183, presented at International Conference on Inductive Logic Programming, Ferrara, Italy, 02 September 2018 - 04 September 2018, http://dx.doi.org/10.1007/978-3-319-78090-0_12
    Conference Papers | 2018
    Katz G; Heap B; Wobcke W; Bain M; Kannangara S, 2018, 'Analysing TV audience engagement via twitter: Incremental segment-level opinion mining of second screen tweets', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Nanjing, China, pp. 300 - 308, presented at Pacific Rim International Conference on Artificial Intelligence, Nanjing, China, 28 August 2018 - 31 August 2018, http://dx.doi.org/10.1007/978-3-319-97310-4_34
    Conference Papers | 2018
    Krzywicki A; Heap B; Bain M; Wobcke W; Schmeidl S, 2018, 'Using word embeddings with linear models for short text classification', in Mitrovic T; Xue B; Li X (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Cham, Victoria University of Wellington, New Zealand, pp. 819 - 827, presented at AI 2018 - The 31st Australasian Joint Conference on Artificial Intelligence, Victoria University of Wellington, New Zealand, 11 December 2018 - 14 December 2018, http://dx.doi.org/10.1007/978-3-030-03991-2_74
    Conference Papers | 2018
    Krzywicki A; Wobcke W; Bain M; Schmeidl S; Heap B, 2018, 'A knowledge acquisition method for event extraction and coding based on deep patterns', in Yoshida K; Lee M (ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Nanjing, China, pp. 16 - 31, presented at Pacific Rim Knowledge Acquisition Workshop, Nanjing, China, 27 August 2018 - 28 August 2018, http://dx.doi.org/10.1007/978-3-319-97289-3_2
    Conference Presentations | 2018
    Mukhlish F; Page J; Bain M, 2018, 'Evolutionary-Learning Framework for Swarm Robotics using Epigenetics Layer', pp. P00086 - P00086, presented at International Conference on Intelligent Unmanned Systems, Jeju, South Korea, 20 August 2018 - 23 August 2018, http://sigongji.icius2018.org/data/ICIUS2018_Proceeding_papers_PW_last.zip
    Conference Presentations | 2018
    Page J; Bain M; Mukhlish F, 2018, 'The Risk of Low Level Narrow Artificial Intelligence', presented at IEEE Intelligence and Safety for Robotics, Shenyang, China, 24 August 2018 - 27 August 2018
    Preprints | 2017
    Heap B; Bain M; Wobcke W; Krzywicki A; Schmeidl S, 2017, Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems, http://dx.doi.org/10.48550/arxiv.1709.05778
    Conference Papers | 2017
    Heap B; Krzywicki A; Schmeidl S; Wobcke W; Bain M, 2017, 'A joint human/machine process for coding events and conflict drivers', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Singapore, pp. 639 - 654, presented at 13th International Conference, ADMA 2017, Singapore, 05 November 2017 - 06 November 2017, http://dx.doi.org/10.1007/978-3-319-69179-4_45
    Conference Papers | 2016
    Alanazi AS; Bain ME, 2016, 'A Scalable People-to-People Hybrid Reciprocal Recommender Using Hidden Markov Models', in 2nd International Workshop on Machine Learning Methods for Recommender Systems, Miami, Florida, USA, presented at International Workshop on Machine Learning Methods for Recommender Systems, Miami, Florida, USA, 05 May 2016 - 07 May 2016, http://dx.doi.org/10.26190/unsworks/27046
    Conference Papers | 2016
    Srinivasan A; Bain M; Vatsa D; Agarwal S, 2016, 'Identification of transition models of biological systems in the presence of transition noise', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 200 - 214, http://dx.doi.org/10.1007/978-3-319-40566-7_14
    Conference Papers | 2015
    Masson B; Bain M; Page J, 2015, 'Diverging Engine Failure Paths on Standard Instrument Departures', Kissimmee, Florida, USA, presented at AIAA SciTech Conference, Kissimmee, Florida, USA, 05 January 2015 - 09 January 2015
    Conference Papers | 2015
    Masson B; Bain M; Page J, 2015, 'Diverging engine failure paths on standard instrument departures', in AIAA Guidance, Navigation, and Control Conference, 2013
    Conference Papers | 2015
    Masson B; Bain M; Page J, 2015, 'Diverging engine failure paths on standard instrument departures', in AIAA Guidance, Navigation, and Control Conference, 2013
    Conference Papers | 2015
    Masson B; Bain M; Page J, 2015, 'Is Engine Failure on the Runway at Takeoff the most limiting case?', in AIAC16, Melbourne, Vic, presented at Australian International Aerospace Conference, Melbourne, Vic, 23 February 2015 - 25 February 2015, http://search.informit.org/documentSummary;dn=254530517802743;res=IELENG;subject=Law
    Conference Papers | 2015
    Masson B; Page J, 2015, 'Runway and Terrain Classification and effect on Engine Out Takeoff Paths', in Runway and Terrain Classification and effect on Engine Out Takeoff Paths, APISAT 2015, Cairns, presented at APISAT 2015, Cairns, 25 November 2015 - 27 November 2015
    Conference Papers | 2014
    Heap B; Krzywicki A; Wobcke W; Bain M; Compton P, 2014, 'Combining Career Progression and Profile Matching in a Job Recommender System', in Pham D-N; Park S-B (ed.), PRICAI 2014: Trends in Artificial Intelligence, Springer
    Conference Papers | 2014
    Krzywicki A; Wobcke W; Cai X; Bain M; Compton P; Mahidadia A; Kim YS, 2014, 'Evaluation and deployment of a people-to-peopie recommender in online dating', in Proceedings of The Twenty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-14), Quebec, Canada, pp. 2914 - 2921, presented at Twenty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-14), Quebec, Canada, 29 July 2014 - 31 July 2014
    Reports | 2014
    Srinivasan A; Bain M, 2014, An Empirical Study of On-Line Models for Relational Data Streams, University of New South Wales, UNSW-CSE-TR-201401
    Reports | 2014
    Srinivasan A; Bain M, 2014, Identification of Transition-Based Models of Biological Systems using Logic Programming, University of New South Wales, UNSW-CSE-TR-201425, http://cgi.cse.unsw.edu.au/~reports/
    Conference Papers | 2013
    Ma DKG; Stolte C; Kaur S; Bain M; O'Donoghue SI, 2013, 'Visual analytics of phosphorylation time-series data on insulin response', in AIP Conference Proceedings, pp. 185 - 196, http://dx.doi.org/10.1063/1.4825010
    Conference Papers | 2012
    Alanazi A; Bain ME, 2012, 'Ranking Interaction-Based Collaborative Filtering Recommendations Using Temporal Features in Online Dating', in Ranking Interaction-Based Collaborative Filtering Recommendations Using Temporal Features in Online Dating, International Business Information Management Association, 18th IBIMA Conference, pp. 450 - 457, presented at The 18th IBIMA Conference on Innovation and Sustainable Economic Competitive Advantage, Istanbul, Turkey, 09 May 2012 - 10 May 2012
    Conference Papers | 2012
    Masson B; Bain M; Page J, 2012, 'ENGINE-OUT TAKEOFF PATH OPTIMIZATION OUT OF TERRAIN CHALLENGING AIRPORTS', Brisbane, presented at 28TH INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES, Brisbane, 24 September 2012 - 28 September 2012
    Conference Papers | 2011
    Masson B; Bain ME; Page JR, 2011, 'Engine-Out Takeoff Path Optimization out of Terrain Challenging Airports', in Crassidis JL (ed.), AIAA Guidance, Navigation and Control Conference, Portland, Oregon, USA, presented at AIAA Guidance and Navigation Control, Portland, Oregon, USA, 08 August 2011 - 11 August 2011
    Conference Papers | 2011
    Masson B; Bain ME; Page JR, 2011, 'Large aircraft takeoff path optimization out of terrain challenging airports', in Fourteenth Australian Aeronautical Conference, Royal Aeronautical Society (Australian Divison) / Engineers Australia, Australia, pp. 249 - 258, presented at 14th Australian International Aerospace Congress, Melbourne, http://search.informit.com.au/documentSummary;dn=429224421327781;res=IELENG
    Conference Papers | 2011
    Srinivasan A; Bain ME, 2011, 'Knowledge-Guided Identification of Petri Net Models of Large Biological Systems', in Inductive Logic Programming 21st International Conference ILP2011, Springer, Berlin, pp. 317 - 331, presented at 21st International Conference on InductiveLogic Programming, Windsor Great Park, 31 July 2011 - 03 August 2011, http://dx.doi.org/10.1007/978-3-642-31951-8_27
    Conference Papers | 2010
    Bain ME, 2010, 'Cygnus: Back to the future - Applying commercial program lessons learned', in AIAA SPACE Conference and Exposition 2010
    Conference Papers | 2010
    Bain ME, 2010, 'Cygnus: Back to the future - Applying commercial program lessons learned', in AIAA SPACE Conference and Exposition 2010, http://dx.doi.org/10.2514/6.2010-8621
    Conference Papers | 2010
    Ben-Naim D; Velan GM; Marcus N; Bain ME, 2010, 'Adaptive Tutorials for Virtual Microscopy: A Design Paradigm to Promote Pedagogical Ownership', in Intelligent Tutoring Systems - Lecture Notes in Computer Science Volume 6095 Part II, Springer, Berlin / Heidelberg, pp. 266 - 268, presented at 10th International Conference on Intelligent Tutoring Systems, Pittsburgh, PA, USA, 14 June 2010 - 18 June 2010, http://dx.doi.org/10.1007/978-3-642-13437-1_40
    Conference Papers | 2010
    Kim YS; Mahidadia AJ; Compton PJ; Cai X; Bain ME; Krzywicki A; Wobcke W, 2010, 'People Recommendation based on Aggregated Bidirectional Intentions in Social Network Site', in AICI - Lecture Notes in Computer Science, Springer, Germany, pp. 247 - 260, presented at The 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010), Daegu, 31 August 2010 - 03 September 2010, http://dx.doi.org/10.1007/978-3-642-15037-1_21
    Conference Papers | 2010
    Krzywicki A; Wobcke W; Cai X; Mahidadia AJ; Bain ME; Compton PJ; Kim YS, 2010, 'Interaction-based collaborative filtering methods for recommendation in online dating', in Web Information Systems Engineering - WISE 2010, Springer, Germany, pp. 342 - 356, presented at 11th International Conference on Web Information Systems Engineering, WISE 2010, Hong Kong, 12 December 2010 - 14 December 2010, http://dx.doi.org/10.1007/978-3-642-17616-6_31
    Conference Papers | 2009
    Ben-Naim D; Bain ME; Marcus N, 2009, 'A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive Tutorials', in Educational Data Mining 2009: 2nd International Conference on Educational Data Mining, ‎Proceedings, CORDOBA, SPAIN, presented at 2nd International Conference on Educational Data Mining, CORDOBA, SPAIN, http://www.educationaldatamining.org/EDM2009/uploads/proceedings/benNaim.pdf
    Conference Papers | 2009
    Velan GM; Ben-Naim D; Kumar RK; Bain ME; Kan BF; Marcus N, 2009, 'Adaptive tutorials using virtual slides to enhance learning of microscopic morphology', in Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2009, Association for the Advancement of Computing in Education, Chesapeake, VA, http://www.editlib.org/p/32546
    Conference Papers | 2009
    Xu M; Bain ME, 2009, 'Mining minimal constrained flow cycles from complex transaction data', in Conferences on Research and Practice in Information Technology Volume 101, Australian Computer Society, Adelaide, SA, presented at 8th Australian Data Mining Conference, Melbourne, http://www.dtecht.com/index.php/rd/academic-papers/published
    Conference Papers | 2008
    Ben-Naim D; Marcus N; Bain ME, 2008, 'Visualization and Analysis of Student Interactions in an Adaptive Exploratory Learning Environment', in CEUR Workshop Proceedings, Maastricht, Netherlands, presented at European Conference of Technology Enhanced Learning, Maastricht, Netherlands, 16 September 2008 - 18 September 2008, http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-381/paper01.pdf
    Conference Papers | 2007
    Akand EH; Bain ME, 2007, 'Learning from ontological annotation: an application of formal concept analysis to feature construction in the gene ontology', in Australasian ontology workshop 2007, Gold Coast, Qld, presented at Australasian ontology workshop 2007, Gold Coast, Qld, 02 December 2007
    Conference Papers | 2007
    Ben-Naim D; Marcus N; Bain ME, 2007, 'Virtual apparatus approach to constructing adaptive tutorials', in 2007 international conference on e-learning, e-business, enterprise information systems, and e-government, International Conference on Foundations of Computer Science, Las, Vegas, Nevada, USA, presented at International Conference on Foundations of Computer Science, Las, Vegas, Nevada, USA, 25 June 2007 - 28 June 2007, http://www.adaptiveelearning.com/papers/vaf4at.pdf
    Conference Papers | 2006
    Bain ME; Ahsan N; Potter JM; Gaeta BA; Temple MD; Dawes IW, 2006, 'Learning causal networks from microarray data', in Workshop on Intelligent systems for bioinformatics, 2006, Workshop on Intelligent systems for bioinformatics, 2006, Hobart, presented at Workshop on Intelligent systems for bioinformatics, 2006, Hobart, 04 December 2006
    Conference Papers | 2004
    Bain ME, 2004, 'Predicate invention and the revision of first-order concept lattices', in Proceedings of the First International Conference on Advances in Natural Computation (ICNC 2005), Part III, Lecture Notes in Computer Science 3612/2005, Springer, Berlin, Germany, presented at Concept Lattices 2004, Sydney, 23 February 2004 - 26 February 2004
    Conference Papers | 2004
    Reidsema CA; Bain ME; Raju J; Kelly DW, 2004, 'A knowledge acquisition approach for composite aerospace component design.', in 5th Asia-Pacific Industrial Engineering and Management Systems Conference, 5th Asia-Pacific Industrial Engineering and Management Systems Conference, Gold Coast, Qld, presented at 5th Asia-Pacific Industrial Engineering and Management Systems Conference, Gold Coast, Qld, 12 December 2004 - 15 December 2004
    Conference Papers | 2003
    Bain ME; Gaeta BA, 2003, 'Learning Quantitative Gene Interactions from Microarray Data', in 2003 Congress on Evolutionary Computation CEC 2003, IEEE Congress on Evolutionary Computation (CEC 2003), Canberra, presented at IEEE Congress on Evolutionary Computation (CEC 2003), Canberra, 08 December 2003 - 12 December 2003
    Conference Papers | 2003
    Bain ME, 2003, 'Inductive Construction of Ontologies from Formal Concept Analysis', in 16th Australian Conference on Artificial Intelligence, Perth, WA, presented at 16th Australian joint conference on artificial intelligence - AI`03, Perth, WA, 03 December 2003 - 05 December 2003
    Conference Papers | 2003
    Bain ME, 2003, 'Learning Ontologies from Concept Lattices', in ICCS 2003 - International Conference on Conceptual Structures, International Conference on Conceptual Structures ICCS 2003, Dresden, Germany, presented at International Conference on Conceptual Structures ICCS 2003, Dresden, Germany, 21 July 2003 - 25 July 2003
    Conference Papers | 2002
    Bain ME, 2002, 'Revising Concept Lattices To Extract Concept Definitions', in PKAW 2002: The 2002 Pacific Rim Knowledge Acquisition Workshop, PKAW 2002: The 2002 Pacific Rim Knowledge Acquisition Workshop, Tokyo, Japan, presented at PKAW 2002: The 2002 Pacific Rim Knowledge Acquisition Workshop, Tokyo, Japan, 18 August 2002 - 19 August 2002
    Conference Papers | 2002
    Bain ME, 2002, 'Structured Features From Concept Lattices For Unsupervised Learning And Classification', in AI 2002: Advances in Artificial Intelligence, Springer-Verlag, Berlin, presented at Australasian Joint Conference on Artificial Intelligence 2002, Canberra, 02 December 2002 - 06 December 2002
    Conference Papers | 1999
    Muggleton SH; Bain ME, 1999, 'Analogical Prediction', in 9th International Conference onInductive Logic Programming (ILP 1999), Bled, Slovenia, presented at 9th International Conference onInductive Logic Programming (ILP`99), Bled, Slovenia, 24 June 1999 - 27 June 1999
    Conference Papers | 1992
    Muggleton S; Srinivasan A; Bain M, 1992, 'Compression, Significance and Accuracy', in Proceedings of the 9th International Workshop on Machine Learning, ICML 1992, pp. 338 - 347, http://dx.doi.org/10.1016/B978-1-55860-247-2.50048-6
    Conference Papers | 1991
    Bain M, 1991, 'Experiments in non-monotonic learning', in Proceedings of the 8th International Workshop on Machine Learning, ICML 1991, pp. 380 - 384, http://dx.doi.org/10.1016/B978-1-55860-200-7.50078-7
    Conference Papers | 1989
    Muggleton S; Bain M; Hayes-Michie J; Michie D, 1989, 'An Experimental Comparison of Human and Machine Learning Formalisms', in Proceedings of the 6th International Workshop on Machine Learning, ICML 1989, pp. 113 - 118, http://dx.doi.org/10.1016/B978-1-55860-036-2.50037-0