A/Prof. Richard Dazeley

STAFF PROFILE

Position

Associate Professor in Computer Science

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Geelong Waurn Ponds Campus

Contact

Research interests

Multiobjective Reinforcement Learning and Human Aligned AI (Explainability, Safety, Ethics, Interactive).

Units taught

SIT796 - Reinforcement Learning

SIT799 - Human Aligned Artificial Intelligence

SIT307 - Data Mining and Machine Learning

Research groups

Deputy Leader Machine Intelligence Lab

Awards

ACS National ICT Educator of the Year Award (2016).

International ICT Educator of the Year award nominee from the South-East Asia Regional Computer Confederation (SEARCC) (2017)

Publications

Filter by

2019

An empirical study of reward structures for actor-critic reinforcement learning in air combat manoeuvring simulation

B Kurniawan, P Vamplew, M Papasimeon, R Dazeley, C Foale

(2019), Vol. 11919, pp. 54-65, AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australian Joint Conference on Artificial Intelligence 2019, Adelaide, S. Aust., E1

conference

Memory-based explainable reinforcement learning

F Cruz Naranjo, R Dazeley, P Vamplew

(2019), Vol. 11919, pp. 66-77, AI 2019: Advances in artificial intelligence : Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence 2019, Adelaide, S. Aust., E1

conference
2018

Human-aligned artificial intelligence is a multiobjective problem

P Vamplew, R Dazeley, C Foale, S Firmin, J Mummery

(2018), Vol. 20, pp. 27-40, Ethics and information technology, New York, N.Y., C1-1

journal

Supporting regional aged care nursing staff to manage residents' behavioural and psychological symptoms of dementia, in real time, using the Nurses' Behavioural Assistant (NBA): a pilot site 'end-user attitudes' trial

Britt Klein, Lisa Clinnick, Jessica Chesler, Andrew Stranieri, Adam Bignold, Richard Dazeley, Suzanne McLaren, Sue Lauder, Venki Balasubramanian

(2018), Vol. 246, pp. 24-28, Telehealth for our ageing society : Proceedings of the 5th Global Telehealth Meeting 2017, Adelaide, S. Aust., E1-1

conference

Non-functional regression: a new challenge for neural networks

P Vamplew, R Dazeley, C Foale, T Choudhury

(2018), Vol. 314, pp. 326-335, Neurocomputing, Amsterdam, The Netherlands, C1

journal

Rapid anomaly detection using integrated prudence analysis (IPA)

O Maruatona, P Vamplew, R Dazeley, P Watters

(2018), Vol. 11154, pp. 137-141, PAKDD 2018 : Trends and applications in knowledge discovery and data mining : the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Victoria, E1-1

conference
2017

Steering approaches to Pareto-optimal multiobjective reinforcement learning

P Vamplew, R Issabekov, R Dazeley, C Foale, A Berry, T Moore, D Creighton

(2017), Vol. 263, pp. 26-38, Neurocomputing, Amsterdam, The Netherlands, C1-1

journal

Softmax exploration strategies for multiobjective reinforcement learning

P Vamplew, R Dazeley, C Foale

(2017), Vol. 263, pp. 74-86, Neurocomputing, Amsterdam, The Netherlands, C1-1

journal

Evaluating accuracy in prudence analysis for cyber security

O Maruatona, P Vamplew, R Dazeley, P Watters

(2017), Vol. 10638, pp. 407-417, ICONIP 2017 : Proceedings of the Neural Information Processing International Conference, Guangzhou, China, E1-1

conference
2015

Authorship analysis of aliases: Does topic influence accuracy?

R Layton, P Watters, R Dazeley

(2015), Vol. 21, pp. 497-518, Natural language engineering, London, Eng., C1-1

journal

Reinforcement learning of pareto-optimal multiobjective policies using steering

P Vamplew, R Issabekov, R Dazeley, C Foale

(2015), Vol. 9457, pp. 596-608, AI 2015 : Proceedings of the 28th Australasian Joint Conference on Artificial Intelligence 2015, Canberra, A.C.T., E1-1

conference
2013

A survey of multi-objective sequential decision-making

D Roijers, P Vamplew, S Whiteson, R Dazeley

(2013), Vol. 48, pp. 67-113, Journal of artificial intelligence research, Palo Alto, Calif., C1-1

journal

Evaluating authorship distance methods using the positive silhouette coefficient

R Layton, P Watters, R Dazeley

(2013), Vol. 19, pp. 517-535, Natural language engineering, Cambridge, Eng., C1-1

journal

Automated unsupervised authorship analysis using evidence accumulation clustering

R Layton, P Watters, R Dazeley

(2013), Vol. 19, pp. 95-120, Natural language engineering, Cambridge, Eng., C1-1

journal

Local n-grams for author identification: notebook for PAN at CLEF 2013

R Layton, P Watters, R Dazeley

(2013), Vol. 1179, pp. 1-4, CLEF 2013 : Proceedings of the CLEF 2013 Conference, Valencia, Spain, E1-1

conference

A survey of multi-objective sequential decision-making

Diederik Roijers, Peter Vamplew, Shimon Whiteson, Richard Dazeley

(2013), Vol. 48, Journal of artificial intelligence research, C1-1

journal
2012

Detection of CAN by ensemble classifiers based on ripple down rules

A Kelarev, R Dazeley, A Stranieri, J Yearwood, H Jelinek

(2012), Vol. 7457, pp. 147-159, PKAW 2012 : Proceedings of the 12th International Workshop on Knowledge Management and Aquisition for Intelligent Systems, Kuching, Malaysia, E1-1

conference

Recentred local profiles for authorship attribution

R Layton, P Watters, R Dazeley

(2012), Vol. 18, pp. 293-312, Natural language engineering, Cambridge, Eng., C1-1

journal

RM and RDM, a preliminary evaluation of two prudent RDR techniques

O Maruatona, P Vamplew, R Dazeley

(2012), Vol. 7457 LNAI, pp. 188-194, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

Unsupervised authorship analysis of phishing webpages

R Layton, P Watters, R Dazeley

(2012), pp. 1104-1109, 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, E1-1

conference
2011

Online knowledge validation with prudence analysis in a document management application

R Dazeley, S Park, B Kang

(2011), Vol. 38, pp. 10959-10965, Expert systems with applications, Amsterdam, The Netherlands, C1-1

journal

Empirical evaluation methods for multiobjective reinforcement learning algorithms

P Vamplew, R Dazeley, A Berry, R Issabekov, E Dekker

(2011), Vol. 84, pp. 51-80, Machine learning, New York, N.Y., C1-1

journal

How much material on BitTorrent is infringing content? A case study

P Watters, R Layton, R Dazeley

(2011), Vol. 16, pp. 79-87, Information security technical report, Amsterdam, The Netherlands, C1-1

journal

Establishing reasoning communities of security experts for internet commerce security

A Kelarev, S Brown, P Watters, X Wu, R Dazeley

(2011), pp. 380-396, Technologies for supporting reasoning communities and collaborative decision making: Cooperative approaches, Hershey, Pa., B1-1

chapter
2010

Authorship attribution for Twitter in 140 characters or less

R Layton, P Watters, R Dazeley

(2010), pp. 1-8, Proceedings - 2nd Cybercrime and Trustworthy Computing Workshop, CTC 2010, E1-1

conference

The ballarat incremental knowledge engine

R Dazeley, P Warner, S Johnson, P Vamplew

(2010), Vol. 6232 LNAI, pp. 195-207, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference
2009

Optimization of multiple classifiers in data mining based on string rewriting systems

R Dazeley, A Kelarev, J Yearwood, M Mammadov

(2009), Vol. 2, pp. 41-56, Asian-European journal of mathematics, C1-1

journal

Generalising symbolic knowledge in online classification and prediction

R Dazeley, B Kang

(2009), Vol. 5465 LNAI, pp. 91-108, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

Constructing stochastic mixture policies for episodic multiobjective reinforcement learning tasks

P Vamplew, R Dazeley, E Barker, A Kelarev

(2009), Vol. 5866 LNAI, pp. 340-349, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference
2008

An expert system methodology for SMEs and NPOs

R Dazeley

(2008), Harnessing Knowledge Management to Build Communities - Proceedings of the 11th Annual Australian Conference on Knowledge Management and Intelligent Decision Support, ACKMIDS 08, E1-1

conference

Detecting the knowledge boundary with prudence analysis

R Dazeley, B Kang

(2008), Vol. 5360 LNAI, pp. 482-488, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

An approach for generalising symbolic knowledge

R Dazeley, B Kang

(2008), Vol. 5360 LNAI, pp. 379-385, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

Epistemological approach to the process of practice

R Dazeley, B Kang

(2008), Vol. 18, pp. 547-567, Minds and machines, Dordrecht, The Netherlands, C1-1

journal
2003

Weighted MCRDR: Deriving information about relationships between classifications in MCRDR

R Dazeley, B Kang

(2003), Vol. 2903, pp. 245-255, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

Funded Projects at Deakin

Other Public Sector Funding

Scaling Force Effectiveness Modelling and Assessment Methods.

A/Prof Vicky Mak, Prof John Yearwood, Prof Gleb Beliakov, A/Prof Richard Dazeley, A/Prof Tim Wilkin

  • 2019: $131,293

Supervisions

No completed student supervisions to report