The Interdisciplinary Machine Learning Research Group investigates different aspects of machine learning and data mining in theory, experiments and applications

INTERDISCIPLINARY MACHINE LEARNING
Research Group
(IMLRG)

Interdisciplinary Machine Learning

The Interdisciplinary Machine Learning Research Group (IMLRG) investigates different aspects of machine learning and data mining in theory, experiments and applications. Particular emphasis is placed on interdisciplinary projects.


Research Contact:

A/Prof Stephan Chalup, Director


Some of our research areas include:

  • Machine learning and data mining
  • Robotics, RoboCup, control and learning
  • Computational neuroscience and brain theory
  • Computer vision and image processing
  • Evolutionary computation, reinforcement learning, kernel machines
  • Software engineering and IT-applications

Our Projects

Project Title:

Behaviour in Autonomous Multi-agent Systems

Chief Investigators:

  • A/Prof. Stephan Chalup
  • Dr Michael Quinlan
  • Dr Oliver Obst
  • Dr Stephen R. Young

Publications:

Quinlan Michael Joseph, Obst Oliver, Chalup Stephan, 'Towards autonomous strategy decisions in the RoboCup Four-Legged League', 7th IJCAI International Workshop on Nonmontonic Reasoning, Action and Change. Proceedings, Hyderabad, India (2007)

Quinlan Michael Joseph, Chalup Stephan, 'Impact of Tactical Variations in the RoboCup Four-Legged League', Proceedings of International Symposium on Practical Cognitive Agents and Robots (PCAR), Perth, WA, Australia ), vol. 213, pp. 27-38, 2006, ISBN:1-74052-130-7(2006) (Online Access)

Young Stephen Robert, Chalup Stephan, 'Towards Robot Soccer Team Behaviours Through Approximate Simulation', Proceedings of 4th IEEE International Conference on Development and Learning, INTEX Osaka, Japan (2005)

Project Title:

Dynamic Language Processing

Chief Investigators:

  • A/Prof. Stephan Chalup
  • Dr Alan Blair

Publications:

Stephan K. Chalup and Alan D. Blair (2003). Incremental Learning for RNNs: How Does It Affect Performance and Hidden Unit Activation? RNNaissance Workshop–NIPS 2003.(abstract, unpublished)(PDF-35KB)

Stephan K. Chalup and Alan D. Blair (2003). Incremental Training of First Order Recurrent Neural Networks to Predict a Context-Sensitive Language. Neural Networks 16(7), pp. 955-972. (Online Access)

Stephan K. Chalup and Alan D. Blair (2002), "Software for Analysing Recurrent Neural Nets that Learn to Predict Non-Regular Languages", In: Pieter W. Adriaans and Henning Fernau and Menno van Zaanen, "Grammatical Inference: Algorithms and Applications, 6th International Colloquium: ICGI 2002, Amsterdam, The Netherlands, September 23-25, 2002, Proceedings". Lecture Notes in Computer Science LNCS 2484, pp.296—298, ISBN 3-540-44239-1, Springer-Verlag.(PDF-95KB)

Stephan Chalup and Alan D. Blair (1999). "Hill climbing in recurrent neural networks for learning the an bn cn language". In: ICONIP'99, 6th International Conference on Neural Information Processing, Proceedings. Perth, Western Australia, 16-20 November 1999, Volume 2. pp. 508–513, ISBN: 0-7803-5871-6, IEEE.(PDF-151KB)

Project Title:

Kernel Methods in Finance and Complexity Management

Chief Investigators:

  • A/Prof. Stephan Chalup
  • Professor Detlef Seese

Postgraduates:

  • Mr Tobias Dietrich
  • Mr Andreas Mitschele
  • Mr Christian Ullrich

Publications:

Stephan Chalup and Andreas Mitschele. Kernel Methods in Finance. Chapter 27, pp. 655-687; In: Detlef Seese, Christof Weinhardt and Frank Schlottmann (Eds.). Handbook on Information Technology in Finance; Series: International Handbooks on Information Systems; ISBN: 978-3-540-49486-7; Springer-Verlag Berlin Heidelberg, 2008.

Andreas Mitschele, Detlef Seese, Frank Schlottmann, and Stephan Chalup. Applications of Kernel Methods in Financial Risk Management. 12th International Conference on "Computing in Economics and Finance" Amathus Beach Hotel, Limassol, Cyprus, 22-24 June, 2006.

Christian Max Ullrich, Detlef Seese, Stephan Chalup. Foreign Exchange Trading with Support Vector Machines. In Proceedings of the 30th Annual Conference of the German Classification Society (GfKI 2006), pp. 1-9. 2006.

Tobias Dietrich, Detlef Seese, and Stephan K. Chalup. Classification of e-bay bidding characteristics. IADIS International Journal on WWW/Internet 4(1), pp. 111–125, ISSN: 1645–7641, 2006. (Received Paper Award)

Christian Ullrich, Detlef Seese, and Stephan Chalup. Predicting Foreign Exchange Rate Return Directions with Support Vector Machines. Proceedings of the 4th Australasian Data Mining Conference (AusDM05), Simeon J. Simoff, Graham J. Williams, John Galloway and Inna Kolyshkina (editors), December, 2005, Sydney, Australia, pp. 221-240.

Tobias Dietrich, Detlef Seese, and Stephan Chalup. Differences in Bidding Characteristics on ebay.de. Proceedings of the IADIS International Conference e-Commerce 2005 Porto, Portugal December 15-17, 2005, Nitya Karmakar and Pedro Isaias (editors), ISBN: 972-8924-06-2, pp. 3–10, IADIS Press, 2005.

Project Title:

Machine Learning on AIBO Robots

Postgraduate:

  • Mr Michael Quinlan (completed 2006)

Supervisors:

  • A/Prof. Stephan Chalup
  • Professor Rick Middleton

Publications:

Stephan K. Chalup, Craig L. Murch, and Michael J. Quinlan. Machine Learning with AIBO Robots in the Four Legged League of RoboCup. IEEE Transactions on Systems, Man, and Cybernetics—Part C, Vol. 37, No. 3, pp. 297-310, May 2007. (Online Access)

Michael J. Quinlan. Machine Learning on AIBO Robots. PhD Thesis, The University of Newcastle, 2006. (PDF-7MB)

Craig L. Murch and Stephan K. Chalup. Combining Edge Detection and Colour Segmentation in the Four-Legged League. Proceedings of the 2004 Australasian Conference on Robotics and Automation (ACRA'2004). (Online Access)

Michael J. Quinlan and Stephan K. Chalup and Richard H. Middleton. Application of SVMs for Colour Classification and Collision Detection with AIBO Robots. Advances in Neural Information Processing Systems 16, (NIPS'2003), Cambridge, MA, MIT Press, 2004. (Online Access)

M. J. Quinlan, S. K. Chalup, R. H. Middleton. Techniques for Improving Vision and Locomotion on the Sony AIBO Robot. In: Jonathan Roberts and Gordon Wyeth (eds.), Proceedings of the 2003 Australasian Conference on Robotics & Automation (ACRA'2003). (Online Access)

M. J. Quinlan, C. Murch, R. H. Middleton, S. K. Chalup. Traction Monitoring for Collision Detection with Legged Robots. Lecture Notes in Artificial Intelligence LNAI 3020, pp. 374–384, 2004. [Engineering Challenge Paper Award, RoboCup 2003] (Online Access)

O. J. Coleman and S. K. Chalup. Towards Matching Perception in Simulated and Real World Robot Navigation. Australian Conference on Artificial Life (ACAL'2003), 2003.

Project Title:

Face Recognition and Face Expression Dynamics

Postgraduate:

  • Mr Kenny Hong

Supervisors:

  • A/Prof. Stephan Chalup
  • Dr Suhuai Luo
  • Dr Robert King

Publications:

Kenny Hong, Stephan Chalup and Robert King. A Component Based Approach Improves Classification of Discrete Facial Expressions over a Holistic Approach. 2010 International Joint Conference on Neural Networks (IJCNN2010)(part of IEEE WCCI) pp 90-97, 2010. (Online Access)

Stephan K. Chalup, Kenny Hong, and Michael J. Ostwald. Simulating Pareidolia of Faces for Architectural Image Analysis. International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), Vol 2, pp 262-278, 2010. (Online Access)

Stephan K. Chalup, Kenny Hong, and Michael J. Ostwald. A Face-House Paradigm for Architectural Scene Analysis. In: Richard Chbeir, Youakim Badr, Ajith Abraham, Dominique Laurent, Fernnando Ferri (eds.). CSTST 2008: Proceedings of The Fifth International Conference on Soft Computing as Transdisciplinary Science and Technology, pp.397-403, ACM ISBN 978-1-60558-046-3, 2008. (Online Access)

Project Title:

Image Processing for Pedestrian Detection

Postgraduate:

  • Mr Arash Jalalian

Supervisors:

  • A/Prof. Stephan Chalup
  • Professor Michael Ostwald

Publications:

Arash Jalalian, Stephan K. Chalup and Michael J. Ostwald. Intelligent Evaluation of Urban Streetscape Designs by Analysing Pedestrian Body Dynamics. Third International Workshop on Advanced Computational Intelligence (IWACI2010). (Online Access)

Project Title:

Shaping social and cultural spaces: the application of computer visualisation and machine learning techniques to the design of architectural and urban spaces.

Chief Investigators:

  • Professor Michael Ostwald
  • A/Prof. Stephan Chalup

Support:

ARC Large Grant 2007-2009

Publications:

Stephan K. Chalup and Michael J. Ostwald. Anthropocentric Biocybernetic Approaches to Architectural Analysis: New Methods for Investigating the Built Environment. In: Paul S. Geller (ed.). Built Environment: Design, Management and Applications. ISBN 978 1 60876 915 5, Nova Publishers, 2010. (Online Access)

Michael J. Ostwald, Josephine Vaughan and Stephan K. Chalup. A Computational Investigation into the Fractal Dimensions of the Architecture of Kazuyo Sejima. Design Principles and Practices: An International Journal 3(1), pp. 231-244, 2009. (Online Access)

Stephan K. Chalup, Naomi Henderson, Michael J. Ostwald, and Lukasz Wiklendt. A Computational Approach to Fractal Analysis of a Cityscape's Skyline. Architectural Science Review 52(2), pp. 126-134, 2009. (Online Access)

Stephan K. Chalup and Michael J. Ostwald. Anthropocentric Biocybernetic Computing for Analysing the Architectural Design of House Facades and Cityscapes. Design Principles and Practices: An International Journal 3(5), pp.65-80, ISSN: 1833-1874, 2009. (Online Access)

Stephan K. Chalup, Kenny Hong, and Michael J. Ostwald. Simulating Pareidolia of Faces for Architectural Image Analysis. International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), Vol 2, pp 262-278, 2010. (Online Access)

Stephan K. Chalup, Kenny Hong and Michael J. Ostwald. A Face-House Paradigm for Architectural Scene Analysis. In: International Conference on Soft Computing as Transdisciplinary Science and Technology (CSTST 2008), 2008. (Online Access)

M. J. Ostwald, J. Vaughan, and S. Chalup. A computational analysis of fractal dimensions in the architecture of Eileen Gray. In ACADIA 2008, Silicon + Skin: Biological Processes and Computation, October 16 - 19, 2008. (Online Access)

S. K. Chalup, N. Henderson, M. J. Ostwald, and L. Wiklendt. A method for cityscape analysis by determining the fractal dimension of its skyline. In: 42nd Annual Conference of the Australian and New Zealand Architectural Science Association (ANSAScA 2008) November 2008, Newcastle, Australia, 2008. forthcoming. (Online Access)

Tucker Christopher Charles, Ostwald Michael, Marshall Joshua Phillip, Chalup Stephan, 'The visual qualities of liveable streets', Towards Solutions for a Liveable Future: Progress, Practice, Performance, People. Proceedings of the 41st Annual Conference of the Architectural Science Association, Melbourne (2007). (Online Access)

Stephan K. Chalup, Riley Clement, Chris Tucker and Michael J. Ostwald. Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction. In: M. Randall, H. Abbass, and J. Wiles (Eds.): ACAL 2007, LNAI 4828, pp. 84-95, 2007. (Online Access)

Stephan K. Chalup, Riley Clement, Joshua Marshall, Chris Tucker, and Michael J. Ostwald. Representations of Streetscape Perceptions Through Manifold Learning in the Space of Hough Arrays. 2007 IEEE Symposium on Artificial Life, April 1-5, 2007. (Online Access)

Stephan K. Chalup, Riley Clement, Michael J. Ostwald and Chris Tucker. Applications of Manifold Learning in Architectural Facade and Streetscape Analysis, Workshop on Novel Applications of Dimensionality Reduction at NIPS 2006.

Project Title:

Sound-scape Visualisation through Dimensionality Reduction

Chief Investigators:

  • A/Prof. Stephan Chalup
  • Dr. Kaushik Mahata

Postgraduate:

  • Mr Aaron Wong

Publications:

Aaron Wong and Stephan K. Chalup. Towards Visualisation of Sound-scapes Through Dimensionality Reduction, 2008 IEEE World Congress on Computational Intelligence (WCCI), Hong Kong, June 1-6, 2008. (Online Access)

Aaron S.W. Wong and Stephan K. Chalup. Sound-scapes for Robot Localisation through Dimensionality Reduction. In: Jonghyuk Kim and Robert Mahony (eds). Proceedings of the 2008 Australasian Conference on Robotics and Automation (ACRA 2008), ISBN 978-0-646-50643-2,ARAA 2008. (Online Access)

Project Title:

Spiking Neural Networks for Motor Control

Chief Investigators:

  • A/Prof. Stephan Chalup
  • Dr Maria Seron

Postgraduate:

  • Mr Lukasz Wiklendt

Support:

The University of Newcastle, CDSC

Research Areas:

  • Acrobot swing-up and stabilisation
  • Employ spiking neural networks in a computer simulation study
  • Use evolutionary computation for training
  • Bi-ped simulation study

Publications:

Lukasz Wiklendt and Stephan K. Chalup. Balance Control of a Simulated Inverted Pendulum on a Circular Base. Australasian Conference on Robotics and Automation (ACRA), 2009. (Online Access)

Lukasz Wiklendt, Stephan. K. Chalup, and Maria M. Seron. Simulated 3d Biped Walking with an Evolution-Strategy Tuned Spiking Neural Network. Neural Network World 19, pp. 235-246, 2009. (Online Access)

Lukasz Wiklendt, Stephan K. Chalup and Maria Seron. Quadratic Leaky Integrate-and-Fire Neural Network Tuned with an Evolution Strategy for a Simulated 3D Biped Walking Controller, 8th International Conference on Hybrid Intelligent Systems (HIS 2008), IEEE Computer Society Press 2008. (Online Access)

Lukasz Wiklendt, Stephan K. Chalup, and Richard H. Middleton. A Small Spiking Neural Network with LQR Control Applied to the Acrobot. Neural Computing & Applications 18(4), pp. 369-375, ISSN 1433-3058, Springer London, 2008. (Online Access)

Chalup Stephan, Middleton Richard Hume, Quinlan Michael Joseph, Wiklendt Lukasz Sebastian, 'Neurocomputational aspects of legged locomotion motor control', Proceedings of the Australian Neuroscience Society, 15 105 (2004).

Project Title:

The Machine Intelligence Hex Project

Chief Investigators:

  • A/Prof. Stephan Chalup

Research Assistant:

  • Mr Drew Mellor

Collaborator:

  • Dr Frances Rosamond

Support:

Discipline of CSSE

Research Areas:

  • Acrobot swing-up and stabilisation
  • Employ spiking neural networks in a computer simulation study
  • Use evolutionary computation for training
  • Bi-ped simulation study

Publications:

Stephan K. Chalup, Drew Mellor, and Fran Rosamond. The Machine Intelligence Hex Project. Computer Science Education 15(4), pp. 245–273, Routledge, December 2005. (Online Access)

S. K. Chalup. Towards Staged Evolution of an Artificial Player for Hex by Enlarging the Boardsize During Training. IEEE Congress on Evolutionary Computation (CEC'2003), 2003.

S. K. Chalup and D. Mellor. The Machine Intelligence Hex Project - An Overview. Australian Journal of Intelligent Information Processing Systems 8(1), pp. 6-23, November 2002.


Our Consultancy

Machine learning and data mining techniques have become of great importance for industry projects, business applications and interdisciplinary projects.

The Interdisciplinary Machine Learning Research Group offers expertise and consulting in a wide range of relevant techniques. Prospective industry or research partners are welcome to contact us for further information.


Online Resources for Research Students


Our Team

Mr Shashank Bhatia Postgraduate Student
Dr Alan Blair Collaborator
A/Prof Stephan Chalup Director, Associate Professor
Dr David Cornforth Lecturer
Mr Tobias Dietrich Collaborator
Karlsruhe Institute of Technology, Germany
Mr Michael Dickinson Senior Lecturer
Mr Jake Fountain Undergraduate Student
Mr Shannon Fenn Undergraduate Student
Mr Kenny Hong Postgraduate Student
Mr Trent Houliston Undergraduate Student
Dr Arash Jalalian Collaborator
Dr Robert King Lecturer in Statistics
Dr Suhuai Luo Lecturer in Information Technology
Dr Drew Mellor Collaborator
University of Western Australia
Dr Keith Nesbitt Senior Lecturer
Mr Steven Nicklin Postgraduate Student
Dr Oliver Obst Collaborator
CSIRO, Sydney
Professor Michael Ostwald Professor in Architecture
Dr Michael Quinlan Collaborator
Engineer at Clover in Mountain View, California
Prof. Detlef Seese Collaborator
Karlsruhe Institute of Technology, Germany
Dr Maria Seron Research Academic
Mr Christopher Tucker Lecturer in Architecture
Mr Peter Turner Tribotix
Ms Josephine Vaughan Collaborator
Prof. Richard Vella Head of School,
School of Drama Fine Art and Music
Mr Josiah Walker Postgraduate Student, Research Assistant
Prof. Peter Walla Functional Neuroimaging Laboratory
Mr Aaron Wong Postgraduate Student, Research Assistant