Best
Student Paper Award (Australian Computer Science Conference) for paper
co-authored with Ph.D. student Donqiang Yang
2007
Best
Paper Nomination (GECCO) with Postdoc Dr Martin Luerssen – although this is
the premier conference in Genetic/Evolutionary Computation attendance was not
funded and the paper was withdrawn.
2002
Best
Paper Nomination and Best Student Paper Award (Australian Computer Science
Conference) for paper co-authored with Ph.D. student Trent Lewis
1999
Special
Award for the Advancement of the Turing Test/Artificial Intelligence -
Loebner Prize for Artificial Intelligence (Bronze Medal)
1995
Flinders
University Equal Opportunity Commendation - Citation reads:
The student
nominating David Powers writes: "From my first meeting with David
Powers, it was clear that he was willing to accommodate my needs in upcoming
studies. When approached about alternative assessment, he willingly agreed to
the arrangements I requested and was always polite and friendly. He
recognized the fact that I had a disability and required special
arrangements, and never wavered in his willingness to assist me to complete
my studies successfully. Although he wasn't actually one of my lecturers, he
was nonetheless instrumental in making me feel that I COULD achieve in my
studies."
The Sub-Committee
on Students with Disabilities endorses this nomination and states:
"David Powers has been very effective in accommodating a range of
students with disabilities in his first year computer science subject. He
acted creatively and sensitively to accommodate special requirements in
examinations for a number of students with disabilities in his first year
computer science topic. Students with psychiatric/psychological disabilities
often experience additional barriers of fear, misunderstanding and prejudice
not experienced by other students with a disability. Therefore his demonstrated
ability to think through and make constructive suggestions on how to approach
the difficulties being experienced by a student with a psychological
disability, make his nomination especially worthwhile."
1988
Best
Paper in AI Conference (Systems and Cybernetics Meeting, Vienna).
1979-83
Australian
Commonwealth Postgraduate Research Scholarship (U. NSW).
Prizes in
the IBM-UNSW School Mathematics Competition (Junior/Senior Divisions resp.)
1969-71
Inner
London Education Authority Music Scholarship (Archbishop Tennison's Grammar
School, London, UK).
Academic
Positions
1994-
Associate
Professor, Flinders University of South Australia, AU
1993
Visiting
Professor, ENST - Telecom Paris, FR
1992
Research
Fellow, ITK - Institute of Language and Knowledge Technology, University of
Tilburg, NL
1989-91
Senior
Research Fellow in ESPRIT GRANT "COMPULOG" - Computational Logic -
at the University of Kaiserslautern, FRG (in association with the DFKI -
German AI Institute).
1989
Part-time
lecturer in PROLOG, Business Computing, City International, Sydney, AU.
1984-89
Lecturer,
School of Mathematics, Physics, Computing and Electronics, Macquarie
Unviersity, Sydney, AU
1983-84
Half-time
tutor in the Dept of Computer Science, University of NSW, Sydney, AU
Administrative
Roles in Current Position
1995-1996
2007-
Representative,
Faculty of Science and Engineering Research Committee
2006-
Member,
University Consultative Council
2005-2006
Human
Factors Program Leader/SA bid leader, CRC-Safe bid
2004-
Senior
First Aid Officer
2001-2003
Computing
representative on School of Informatics and Engineering Higher Degrees
Committee
1999-2001
Representative,
South Australian Consortium for Information Technology and Telecommunications
1999-
Computer
Science cognate representative, Bachelor of Behavioural Sciences and Bachelor
of Psychology
Computer
Science representative, Bachelor of Arts Exam Board
1996-2000
Representative,
Faculty of Science and Engineering Higher Degrees Committee
1996-1999
Chair,
Dept of Computer Science Higher Degrees Committee
1996-
Observer
or Member of various promotion and tenure (sub)committees as NTEU
representative
1995-1996
Dept of
Computer Science Research Coordinator
1994-2006
Deputy
Chairman, Cognitive Science Committee
1994-1997
Member,
Apple University Consortium Committee
1994-1997
Member,
Information Technology Advisory Committee
1994-1996
Member,
Faculty of Science and Engineering Courses and Curriculum committee
Subjects
Taught
Taught/Current/Coordinated
(Level – Area/code)
Dates (typical
enrolment)
Masters by coursework
projects (Masters – IT/CS)
2002- (1 or 2 most years)
Information Retrieval and
Visualization (Hons - CS)
2001- (~5)
Computer Organization (2 –
COMP2004)
2000-2001 (80-100)
Operating Systems (3 –
COMP3011)
1997/9,2000/7- (60-80)
Engineering Honours Project
(Hons – Eng)
1999- (typically 1-2 a
year)
Unsupervised Machine
Learning (Hons)
1998-2000 (3-10)
Programming Paradigms (2 –
COMP2003)
1996-9 (60-80)
Cognitive Science 2
(2+3+Hons – PSYC3006)
1996-2001,03,05
(8-20)
Computer Science 3rd
Year Project (3 – COMP3013)
1996-2001,3,5-
(3-13)
Software Development
Environments (4 - ENGR)
1995-6 (20)
Cognitive Science 1 (2+3 –
PSYC2006)
1995,1996-2002,4,6
(15)
Computer Science Honours
Project (Hons - CS)
1995- (1-2 most years)
Artificial Intelligence
(3+Hons/Mast – COMP3007)
1994-96,1998-2000,
2002,4,6 (30-50)
Natural Language Learning
(Hons)
1994-7 (3-5)
Programming Languages (Mast
– COMP9031)
Prog. Language Concepts (3+Hons – COMP3001)
1994-6,1998- (20-50)
Computational Logic (3 –
COMP3009)
1994-6 (10-20)
Computer Science 1 (1 –
COMP1000)
1994-5 (200+)
Neural Networks (3+Hons –
Math+CS:ISTC3001)
1994 (20-24)
PhD
students (see also supervised work below): I am
currently supervising as a principal supervisor five PhD students, one with a
co-principal supervisor from another discipline (Engineering). While at
Flinders seven PhD students have completed under my supervision (Entwisle,
Steele, Li, Lewis, Luerssen, Yang, Fitzgibbon) and I was also brought in to
supervise the successful resubmission of another PhD student. I am also
cosupervising other PhD students in the area of Knowledge Discovery, Data
Mining and Data Visualization. I periodically examine higher degree/research
theses at other universities both nationally and internationally (around 1 a
year: 1 in 2006, 2 in 2007).
Program
Committee, Workshop on Visual Evidence in Human-Computer Interaction,
Keynote Speaker in 2006
2005-
Program
Committee for the International Conference on Intelligent Data Engineering
and Automated Learning (IDEAL)
2005-
Program
Committee for the Australian User Interface Conference (AUIC)
2005-
International
Association for the Development of the Information Society (IADIS) Conference
WWW/Internet
2005
Invited
talk, Workshop on higher brain function and cognitive science, International
Conference on Complex Medical Engineering (CME2005)
2001-
Program
Committee for the International Conference on Data Warehousing and Knowledge
Discovery
2001
Program
Committee for the International Conference on Information Integration and
Web-based Applications & Services
1999-2001
Program
Committee, Joint Australian Conference on Artificial Intelligence, AI'2001
1999-
External
Collaborator, Working Group for Data Mining of Natural Language, University
of Sydney & Sydney Language Technology Research Group
1999-
Program
Committee, International Symposium on Biologically Inspired Systems
1999
Invited
talk on Unsupervised Learning, IEAust
1999
Invited
position paper and co-chair of Ecolang Round Table 3 and Cybersession 2
(including presenting a position paper) on `Basic assumptions in acquisition
research' at the International Workshop on the Ecology of Language in
Amsterdam (participating via a teleconference hookup). Invited chapters in
two books arising from this.
1999
Program
Committee, ACL Workshop on Unsupervised Learning in Natural Language
Processing
1999
External
Reviewer, Review of the Queensland University of Technology Machine Learning
Centre
1998-
Program
Committee, International Workshop on Natural Language and Information Systems
1998
Program
Committee, AAAI Symposium on Machine Learning and Discourse
1997-99
Organizer,
the Loebner Prize for Artificial Intelligence (Flinders declined to take it
on on a permanent basis)
1997-98
Organizer,
Australian Natural Language Processing Fortnight incorporating CoNLL and
NeMLaP and Loebner Prize.
1997-
Editorial
Board, The Web Journal of Formal, Computational and Cognitive Linguistics
(sponsored by the Russian Association for Artificial Intelligence)
1997
Organizer,
Theme Session on Computer Models in Cognitive Linguistics, International
Cognitive Linguistics Conference
1997
Tutorial
on Natural Language Learning at the joint ACL (Association for Computational
Linguistics) and EACL (European branch of ACL) conference in Madrid
1997
Program
Committee and Organizing Committee, Computational Natural Language Learning
(CoNLL)
1996-97
Program
Committee, International Conference on Grammar Induction (ICGI'96)
1996-2000
Program
Committee, Australasian Computer Science Conference
1996-
Program
Committee, Conference on Computational Natural Language Learning. Initiated the CoNLL annual
conference on Computational Natural Language Learning in 1996 in my capacity
as President of SIGNLL.
1996-
Program
Committee, Australasian Computer Architecture Conference
1996
South
Australian Branch Executive, Australian Computer Society
1996
National
Technical Board, Australian Computer Society
1996
Invited
lecture, European Summer School on Language Logic and Information (ESSLLI)
workshop on Machine Learning of Natural Language (Prague)
1996
Invited
tutorial on Machine Learning of Natural Language at the Australian
International Conference on Speech Science and Technology (SST-96)
1995-96
Program
and Local Committee, Australian International Conference on Speech Science
and Technology (SST-96)
1995
Invited
presentation/panelist at a joint staff development seminar of the three South
Australian Universities on supporting students with disabilities
1995
Program
Committee, Workshop on Very Large Corpora (WVLC), ACL
1994
Invited
talk, ELSnet/MLnet workshop on Machine Learning of Natural Language and
Speech
1994-
Member,
ACL SIGNLL Board;
Founding President (1994-1997), SIG on Natural Language Learning (SIGNLL),
Association for Computational Lingusitics (ACL)
1993-97
Program
Committee, Intern'l Conference on New Methods in Natural Language Processing
(NeMLaP)
1993-94
Programme
Committee, Workshop on Similarity-based Learning of Natural Language
1993
Organizing
committee and invited talk, European Conference on Machine Learning Workshop
on Machine Learning and Text Analysis.
1992-97
Editor-in-Chief,
SIG on Artificial Intelligence (SIGART), ACM.
1992-93
Guest
Editor, THINK Special Issues on Learning/Cognition.
1992-93
Organizing
Committee, ECML Workshop on ML Text Analysis
1992
Organizer
of the first SHOE workshop on Machine Learning of Natural Language.
Project
Manager, SHOE - Extraction of Hierarchical Structure for Machine Learning of
Natural Language (Partners in Germany, Holland, Belgium, Italy).
1991
Chairman,
Organizing Committee, IJCAI-91 Workshop on Natural Language Learning.
1990-91
Chairman,
Organizing Committee, AAAI Spring Symposium on Machine Learning of Natural
Language and Ontology.
1990-
Associate,
Behavioral and Brain Sciences, Cambridge University Press.
1989-
Honorary
Associate in Computing at Macquarie University.
1985-89
Principal
Investigator, Macquarie Automated Reasoning Parallel Implementation and
Applications (MARPIA) Project – funded by ARC and ATERB grants.
1985-88
Chairman,
Coordinating Committee for Artificial Intelligence and Cognitive Science,
MPCE, Macquarie University (including responsibility for continuing education
courses).
1979-82
Part-time
tutoring in the Dept of Computer Science, University of NSW (including
occasional lectures in Artificial Intelligence courses).
1979
6 invited
seminars at NSW Institute of Technology for `Computing 79' (AI+NL).
1977-89
Contract
Programming/Analysis, Computer Consultant and Manager, Innovative
MicroProcessor and Computer Technology (computer distributor and software
consultancy).
1977-78
Contract
Programming/Analysis/Tutoring/Marking for Basser Department of Computer
Science, University of Sydney.
1974-77
Contracts
as Programmer for Rank Industries Australia (General, Stats, Educational) and
Moran MacPherson Pty Ltd (Debtors, Creditors and WIP; also installation and
training).
Apart from
my role as a member of editorial boards and program committees (of which some
less significant ones are not shown, and ongoing ones are italicized), I
personally review over 40 papers a year, and typically some grant applications
for other universities or ARC (Large and Small grants) or NSF (US National
Science Foundation). I have also been asked to be an external reviewer or
associate of a number of centres at other universities.
I have been invited to examine half a dozen
(Australian and European) PhD/Masters theses and hosted/supervised several
Masters/Diploma students (thesis projects, work experience, stages, study
visits) for students from various overseas universities (French, Belgian,
German, Swedish, Turkish), as well as visiting academics.
Natural Languages
English
Mother
tongue.
French
Good
facility, 6 years at school, ~1.5 years spent in Francophone territory.
German
Good
verbal facility, learnt informally, ~2.5 years spent in Germany/Austria.
Dutch
Good
reading knowledge, some verbal facility, 2 week course, ~9 months in BeNeLux.
Chinese
Some
reading knowledge and verbal facility, 2 semesters of university study
Maringi
Target
language for SIL Linguistics certificate, 10 weeks intensive
immersion/analysis
Russian
Minimal
technical facility, learnt informally, ~2.5 months in Russian environments
Italian
Tourism
level facility when needed, ~2 months in Italy.
Latin
Basic
reading knowledge, 4 years at school.
Greek
Basic
reading knowledge of Koine, learnt informally then as part of Th.C..
Esperanto,
Swedish, Danish
Reading
knowledge, superficial familiarity.
Computer Languages/Packages/Systems
PROLOG
Taught +
preferred language where feasible (or variants).
PERL
Taught +
a favorite language for quick and dirty solutions.
Perlog
A hybrid
of Prolog and Perl devised and under development by me.
ADA
Familiarity
+ some minor programming + some use in teaching
Implemented
some Microcomputer applications, including a compiler code-generator
(bootstrapping)
BCPL
Strong
capability, ported to several platforms
C/C++
Used for
system level implementation of several research systems.
COBOL
Taught +
some minor programming
FORTRAN
Taught +
some minor programming
Java,
JavaScript
Used for
Web page/form implementation + some use in teaching
LISP,
Scheme
Taught +
some minor programming
Matlab,
Octave
Taught +
frequently used in experimental research
Mercury,
Haskell, Icon, Python
Familiarity
+ some use in teaching.
Microsoft
Office
Familiarity
+ some teaching + use on both Mac and Windows (3.1/95/NT/XP)
Modula2
Familiarity
OCCAM
Have used
for research and implementation purposes + seminars
Pascal
Taught +
implemented some significant systems.
PL/1
Familiarity
+ some minor programming
Relational
Taught
theory and some SQL, ORACLE etc.
Shell
Taught
MS-DOS, VMS, UNIX sh, csh, tcsh etc.
SIMULA,
Taught +
some programming
Tcl/Tk
Familiarity
+ some minor programming
Unix,
Solaris,
Linux
Taught +
extensive experience including system administration
Funding (approximate; some internal funding under $10kp.a. omitted)
2008
Human Factors investigation into the utility and
visualization of Metadata, Flinders Collaborative Research Grant with DSTO,
$10K – funding for Darius Pfitzner
2008
Flinders
Brain Computer Interface, Flinders Collaborative Research Grant with
Novitatech Ltd and Flinders Medical Centre Foundation, $20K – funding for Dr
Sean Fitzgibbon, with Prof. Richard Clark
2008
Automated
Discovery, Evaluation, Learning and Information Description for the Education
Data Network Australia, Flinders Collaborative Research Grant with
Education.au Ltd, $61K – funding for Dr Dongqiang Yang
2006-2011
From
Talking Heads to Thinking Heads, ARC/NHMRC Thinking Systems Grant, $3.5M –
with UWS/Macquarie/Canberra, approx $166K p.a.for five years to Powers at
Flinders, with $40K p.a. internal supplementation, supporting 2 Postdocs + 2
PhDs + Research Assistance.
2006-2007
Advanced
Information Analysis, Techniques and Tools, Flinders Science and Engineering
Program Grant,$112K – with Prof. John Roddick and A/Prof. Paul Calder.
$56K p.a. for two years, supporting 6 fractional Postdocs.
2005
Real-Time
Audio-Visual Speech Recognition System, Flinders Small Grant $15K – funding
for Dr Trent Lewis
2002-2006
Research
Contract from DSTO $100K re Cognitive Neuroscience and Military Training -
with Prof. Richard Clark
2002
EEG
Control of Interfaces from Flinders Medical Research Institute $10K with
Richard Clark
2001-4
Contract
Consulting for YourAmigo relating to Clustering and Natural Language search
engine interfaces in context of $1.5M grants (1xCOMET, 2xSTART, etc.) + $25M
commercial investment
DADA-HCS:
Distributed Access and Data Annotation for the Human Communication Sciences,
ARC e-Research grant (SR0567319), ~$100K – one of 8 named CIs (coordinated by
Cassidy,Macquarie).
2005-09
HCSNet
(Enabling Human Communication/The Computational Processing of Human
Language), ARC Research Network (SR0354513), ~$400K p.a. – one of 30 named
CIs (coordinated by Dale,Macquarie).
2005-07
DMKDNet
(Improving Australia's Data Mining and Knowledge Discovery Research), ARC
Research Network (SR0354744) – one of 23 named CIs (coordinated by
Roddick,Flinders).
Visiting
Fellowships
2001
(6wk
funded fellowship) Visiting Researcher, University of Antwerp (UIA), Belgium.
1997
(3mth
funded fellowship) Visiting Professor, ENSSAT, Lannion, France.
1997
(3mth
funded fellowship) Visiting Researcher, University of Antwerp (UIA), Belgium.
1993
(9mth
salaried) Visiting Professor, Language Learning, Telecom Paris
1992
(2mth
funded fellowship), Institute for Language and Intelligence (ITK: Instituut
voor Taal- en Kennistechnologie), University of Tilburg
1988
(3mth
funded fellowship) University of Wales Institute of Science Technology,
Linguistics Dept. Finalization of monograph [Powe89a].
1988
(3mth
post fellowship) University of Kaiserslautern, Dept of Artificial
Intelligence/German AI Institute (DFKI).
Mobile Robot Project. This project takes a
step back from the Robot Baby (which is designed to be mothered by a child)
to a more traditional mobile robot that roams the corridors and learns about
its world. The collaboration between Engineering and Computer Science
has a focus on developing a demonstrator robot incorporating techniques for
automated ontological analysis of the environment. Current achievements allow
standard webcams to provide cheap but accurate movement measurement.
2001-
Search Engine Interface (SEI). Initiated with
a YourAmigo research contract and $750K START Grant, the research focus
covers how people use Keywords to describe documents and Querywords to search
for documents, how best to index documents, how best to search for documents,
how best to display, summarize and manipulate hits.
1999-
The Audio-Visual Speech Recognition (AVSR).
Project is a subproject that extends the sensor configurations of the Robot
Baby and Intelligent Room with a prototype headset that records up to 10
channels of audio and two channels of video. Data collected from the
related projects was initially used to develop improved algorithms for lip
tracking.
1998-
The Robot Baby project connects the
application of connectionist and statistical unsupervised learning techniques
to speech with my previous work on language and ontology. Several senior
undergraduate students and postgraduate students are working on different
aspects of the project including: Emotions and Drives, Sensors and Mobility,
Audition, Sound Location and Orientation, Signal Separation, Speech Modelling
and Correction, Lip Reading and Speech Recognition. The Mark I robot was
developed as a teaching project. The Mark II robot head developed with an ARC
Small Grant.
1998-
The Intelligent Room Project. This subproject
shares resources with the Robot Baby project, but where as sensors on the
baby are looking out, in this project A/V sensors are located around the room
to assist exploration of Blind Source Separation/Localization.
1998-
The Brain Computer Interface Project. This
project extends the Speech Control Project by applying signal processing
techniques refined in the audio domain to the problem of controlling a
computer by thinking. The important advance is that we have developed
techniques to clean up signals contaminated by external noise and muscular
artifact, sufficient to use EEG data that would normally be regarded as far
too noisy and thus apply EEG-based technologies to real-world applications
involving muscular activity.
1997-2003
Collaborative project on Machine Learning of
Chinese and Japanese (funded with ARC grant) with Chris Manning, Sydney
University. Previously my unsupervised language learning techniques had been
applied only to European languages.
1996-2000
Collaborative project on Speech Processing
and Natural Language Command Systems with I2Net Computer Solutions Ltd with
support from I2Net and grants from Flinders Technologies and Flinders Faculty
of Science and Engineering. Our initial prototype speech control product is
on the market as I2Net’s Orion and Clipsal Homespeak products for the Clipsal
C-bus range of device control products.
1996-
Neuropsychological predictions of the SHOE
model. Initial experiments have demonstrated the ability to detect evidence
of preconscious speech processing in the right brain associated with
subliminal auditory stimuli. Longer term work aims to detect evidence of
closed class words being recognized in preverbal infants. Related work is
investigating distinguishing multiple mental thoughts or commands or states
as an alternative to Speech/Natural Language Control and to assess
skill/learning levels.
1996-
Project on Intelligent Web Search – deep
websearch technology commercialized by YourAmigo. The first YourAmigo three
products are directed at intranet search and feeding intranet results to
internet search engines with the company achieving significant cash flow
balance within three months of release. Publications have been curtailed in
this area due to its commercial sensitivity. Patents applied for.
1995-96
Machine perception of complex sounds. We
address both music and speech sounds as signals, and arbitrary sounds as
noise. The aim is to model the component sounds in a signal and use the
models cooperatively to assist in identifying the content of an individual
component. Traditional speech and music processing throws away the components
that are not of interest. We retain these and use them to model and track the
signal more accurately, in combination with auditory scene analysis (ASA).
1995
Parallel Architectures: characterizing speed
up. This work includes a hardware design guaranteeing worst case log squared
order sorting (in terms of gatedelays and assuming wirelength delays remain
comparable to a clock cycle and logarithmic packet size, as above) and
capable of executing N-permutations and (e.g. priority, arbitrary or
additive) N-CRCW operations in a keysize*logN+datasize guaranteed worst-case
delay.
1991- 1992
SHOE: Extraction of Hierarchical Structure
for Machine Learning of Natural Language: formation of international
collaborative consortium seeking to bring analytic, statistical and other
learning approaches and insights from many different language-related areas
together, to compare and analyze approaches, and in particular to examine the
hypotheses that unsupervised learning techniques operating in a modular
modality suffice to learn categorizations and rules applicable up to about
the level of phrases and features.
1991
Organizer of IJCAI Workshop on Natural
Language Learning.
1990-91
Organizer of AAAI Spring Symposium on Machine
Learning of Natural Language and Ontology.
1989-94
Re-application of the self-organizing
techniques of STANLIE Battery 5 (statistical learning at word to phrase
level) to lower level classification (character or speech code vector up to
word level) [Powe91b]. This surprisingly simple but effective experiment led
to a clearer hypothesized formulation of the roles of the unsupervised and
supervised learning paradigms in language, and formed the basis of the SHOE
project [Powe92o].
1989-91
Theoretical development and implementation of
new CONG control strategies exploiting recursive efficiency and
characterization of compartmentalization, zero-links (for both factoring and
unit resolution) as well as the possibility of combining compilation into
theory links with graphic theoretic properties to achieve linear time execution
of the pigeon-hole problem. Formal definition and outline completeness proof
of Compartmentalized CONG; showed that CCONG's logarithmic proof length
compared with PROLOG could lead to logarithmic sequential speed up for
certain problems..
1989-90
Parallel Sorting: developed conventional PRAM
algorithms for QuickSort and RadixSort (based on analysis of the CCONG
behaviour) which demonstrate optimal speedup and (expected and worst-case
resp.) logarithmic time execution (PRAM ignores the communication costs)
[Powe91f,j,k], but that PRAM is not a realistic model.
1987
Application of machine learning to the
control of a vision processor [Powe88c].
1984-89
Collaboration (ARC/ATERB funded) on second
and third versions of CONG. Characterization of lemmatization advantages of
CONG, (demonstrated in implementation); implementation of alternate control
strategies; characterization of choice and adaption/learning of control as
the major bottleneck for effective logic programming [Powe88b] (received best
paper award). Characterization of recursive efficiency of CONG pseudo-links
and recognition of its significance for the strong completeness of the
connection graph; characterized six types of parallelism that could be
exploited in CONG [Powe91f,k].
1984-85
Stanlie Batteries 5 and 6 demonstrated the
fundamental equivalence of symbolic and connectionist approaches and the
power of unsupervised techniques for gramatical categorization; thesis
completed [Powe85e] - Chapter 9 (cf [Powe89a] Chapter 13) .
1983-
MAGRATHEA: Specification and collaboration on
the implementation of the multi-agent MAGRATHEA toy world simulation as a
graphical and multiprocessing extension to PROLOG [Hume84a]. Subsequently
this has been ported to X, and replacement versions developed in Java3D,
along with a new scripting language, MICROJAEA.
1982-94
CONG: Concurrent Connection Graphs for Logic
Programming. Stanlie Battery 4.
1982-83
FEW: Field Encoded Words. Development of a
full term indexing scheme based on SCWs (Superimposed Code Words) and trial
unification for the CONG connection graph theorem prover and logic
programming language; collaboration with Michael Wise on reimplementation for
PROLOG leading to publication of a seminal paper [Wise84a].
1978-
STANLIE: System To Analyze Natural Language
in Environments [Powe85e,89a,91b] – Primary research area/project.Unsupervised learning of
grammatical classes (symbolic) and visual orientations (connectionist),
supervised grammar extension [Powe83b,84a].
1.[Powe89a] * David
M. W. Powers and Christopher Turk, Machine Learning of Natural
Language, Research Monograph, Springer-Verlag (NewYork/Berlin), 1989,
ISBN 3-540-19557-2/0-387-19557-2
(b) Edited Books, Proceedings and
Special Issues
1.[Powe01c] * David M. W. Powers, Special Issue
on the Connectionism versus Symbolism Debate, PSYCOLOQUY 12, 2001.
Republished from THINK 2:1.
2.[Powe98d] David M. W. Powers
(ed.), Proc. Joint Int’l Conf. on New Methods in Language Processing and
Computational Natural Language Learning (NeMLaP3/CoNLL98) Sydney, Jan
1998, Somerset NL: ACL/SIGNLL/Flinders Univ., xvi+314 pp, ISBN 0-7258-0634-6.
(http://lcg-www.uia.ac.be/conll98/proceedings.html)
3.[Powe93g] David M. W. Powers,
Special Issue on the Connectionism versus Symbolism Debate, THINK 2:1.
Republished in PSYCOLOQUY 12, 2001
4.[Powe93f] * Pieter Adriaans, David Powers,
Lars Asker and Walter Daelemans, Eds, Proceedings of the European
Conference on Machine Learning Workshop on Machine Learning and Text Analysis.
Vienna, April 1993.
6.[Dael92a] * Walter Daelemans and David M. W. Powers,
Eds, Background and Experiments in Machine Learning of Natural Language:
First SHOE Workshop (282pp), ITK Proceedings 92/1, Tilburg University NL.
7.[Powe91n] David M. W. Powers,
Larry Reeker and Bernhard Humm, Eds, Proceedings of the IJCAI Workshop on
Natural Language Learning held at the Twelth International Conference on
Artificial Intelligence in Sydney, Australia, 24-30th August 1991.
8.[Powe91c] * David M. W. Powers and Larry
Reeker, eds., Proceedings of the AAAI Spring Symposium on Machine Learning
of Natural Language and Ontology, Document D-91-09 (205pp), DFKI, Univ.
Kaiserslautern FRG.
(c) Chapters in Books
1.[Powe02a] * D.M.W.Powers "Robot
babies: what can they teach us about language acquisition?" Invited
chapter, J. Leather and J. Van Dam, eds The Ecology of Language
Acquisition, Kluwer Academic (pp.160-182
2.[Shar01a] * D.K. Sharman and D.M.W. Powers
(in Chinese) "Hardware System Simulation" in R. Buyya
(ed), High Performance Cluster Computing: Programming and Applications,Vol.2, ISBN 7-5053-6785-4, Publishing House of Electronics Industry
(PHEL), Beijing, China. Translators: Zhen Weiming, Shi Wei, Wang Dongshen.
(pp. 293-308) translation of [Shar99a] in textbook used in Chinese
universities).
3.[Lewi01a] * Lewis, T. W. and D. M. W. Powers
Lip Feature Extraction using Red Exclusion. In P. Eades and J. Jin (eds),
CRPIT: Visualisation 2000, vol 2:61-70. (invited republication of
[Lewi00a])
4.[Li00a] * Li, Y., Powers, D. and Peach,
J. (2000). Comparison of Blind Source Separation Algorithms.pp18-23,in N. Mastorakis, Advances in Neural Networks and Applications,
World Scientific Engineering Society
5.[Shar99a] D.K. Sharman
and D.M.W. Powers "Hardware System Simulation"
pp395-417 in R.Buyya, High Performance Cluster Computing: Programming and
Applications, Vol 2, Prentice-Hall, 1999, ISBN 0-13-013785-5
6.[Powe91o] * David Powers and Walter
Daelemans, "SHOE: The Extraction of Hierarchical Structure for
Machine Learning of Natural Language (Project Summary)" pp.125-160
in [Dael92a].
7.[Powe91j] * David M. W. Powers, Parallelized
QuickSort and RadixSort with Optimal Speedup, In N. N. Mirenkov, Parallel
Computing Technologies, pp.167-176, World Scientific, Singapore, 1991.
8.[Powe91f] * David M. W. Powers, "Parallel
and Efficient Implementation of the Compartmentalized Connection Graph Proof
Procedure." In B. Fronhoefer & G. Wrightson (eds), Parallelism
in Inference Systems, pp210-233, Springer-Verlag, 1991.
(d)
Refereed Papers in Journals
1.[Pfit08b] Darius Pfitzner, Kenneth
Treharne & David M. W. Powers (in press, accepted May 2008), User
Keyword Preference: the Nwords and Rwords Experiments, International
Journal of Internet Protocol Technology: Special Issue on Intelligent
Internet-based Systems: Emerging Technologies and Programming Techniques.
2.[Pfit08a] Darius M Pfitzner,
Richard E Leibbrandt and David MW Powers (2008) Characterization
and Evaluation of Similarity Measures for Pairs of Clusterings, Knowledge and Information Systems: An
International Journal, accepted 30/Jan/08.
3.[Luer08a] Martin H. Luerssen and
David MW Powers (2008). Evolving encapsulated
programs as shared grammars. Genetic Programming and Evolvable
Machines, accepted 26/Jan/08.
4.[Fitz07a] * Sean Fitzgibbon, David M. W. Powers,
Kenneth Pope, and C. Richard Clark (2007). Removal of EEG noise and artefact using blind
source separation.Journal of Clinical Neurophysiology24(3):232-243, June 2007
5.[Li03a] * Yan Li, David Powers and
Kenneth Pope (2003). A new approach to blind signal deconvolution using
recurrent neural networks. International Journal of Knowledge-Based
Intelligent Engineering Systems 7#2:62-69.
6.[Lewi03a] * Lewis, T. W. and D. M. W. Powers
(2003). Audio-Visual Speech Recognition using Red Exclusion and Neural
Networks. Journal of Research and Practice in Information Technology
35#1:41-64 http://www.jrpit.acs.org.au/jrpit/JRPIT35.1.41.pdf
7.[Powe97e] * David M. W. Powers, "Unsupervised
learning of linguistic structure: an empirical evaluation", Int'l
Journal of Corpus Linguistics 2#1:91-131
8.[Powe91a] * David M. W. Powers,
"Goals, Issues and Directions in Machine Learning of Natural Language
and Ontology". SIGART Bulletin 2:1, 101-114, January 1991. An updated
version published in [Powe91c] as a technical preface was updated to include
the material presented at the AAAI Spring Symposium on Machine Learning of
Natural Language and Ontology.
9.[Powe84a] David M. W. Powers,
"Natural Language the Natural Way," Computer Compacts,
100-109 (Jul 1984); also available as DCS Report 8404, Dept of Computer
Science, University of NSW, Australia; abstract also appears in Journal of
Symbolic Logic 51(2): 504-505 (1986).
(e) Reviewed
Papers in Journals +
Editorials, Commentaries & Reviews
1.[Powe06b] * Powers, David M W, Comparative, Continuity and
Computational Evidence in Evolutionary Theory: Predictive Evidence versus
Productive Evidence, commentary on “Language and life history” by Locke
& Bogin, Behavioural and Brain Sciences 29(3):294-296. (http://www.bbsonline.org/Preprints/Locke-06252004/Commentators/.Powers.html)
2.[Powe06a] * Powers, David M. W., On the unproductiveness of
language and linguistics, commentary on "Neural blackboard
architectures of combinatorial structures in cognition" by Frank van der
Velde and Marc de Kamps, Behavioural and Brain Sciences 29(1):82-83. (http://www.bbsonline.org/Preprints/VanderVelde-11132003/Commentators/.Powers.html)
9.[Powe92j] David M. W. Powers,
Review of “Intelligence as Adaptive Behaviour: An Experiment in
Computational Neuroethology” by Randall D. Beer, ACM SIGART Bulletin 3(2):26
ACM Press. (http://doi.acm.org/10.1145/130700.1063222)
14.[Powe91e]
David M. W. Powers, "Goal Directed Behaviour in the
Sensory-Motor and Language Hierarchies." Commentary on P. M.
Greenfield, "Language, Tools and Brain", Behavioural and Brain
Sciences 14(4): 572-574.
15.[Powe91d]
David M. W. Powers, "Language Acquisition in the Absence of
Proof of Absence of Experience." Commentary on S. Crain,
"Language Acquisition in the Absence of Experience", Behavioural
and Brain Sciences 14(4): 629-630.
16.[Powe88d]
David M. W. Powers, "Review of 'Language and Spatial Cognition'
(A. Kerskovits)", Australian Computer Journal, p45 (Feb 1988).
17.[Powe87b]
David M. W. Powers, "Review of 'Program Evolution: Processes of
Software Change' (M. M. Lehman & L. A. Belady, ed.)", Australian
Computer Journal, p179-180 (Aug 1987).
18.[Powe87a]
David M. W. Powers, "Review of 'Language and Artificial
Intelligence' (M. Nagao, ed.)", Australian Computer Journal, p180 (Aug
1987).
19.[Powe84b]
David M. W. Powers, "Review of 'The Hedonistic Neuron: A Theory
of Memory, Learning and Intelligence' (A. Harry Klopf, Hemisphere, Washington
1982)", SIGART(89), pp. 21-23 (Jul 1984).
20.[Powe84c]
David M. W. Powers, "Playing Mastermind more Logically or
Writing PROLOG more Efficiently", SIGART 89, 28-32 (Jul
1984).
21.[Powe83b]
David M. W. Powers, "Neurolinguistics and Psycholinguistics as
a Basis for Computer Acquisition of Natural Language," SIGART 84,
pp. 29-34 (June 1983).
22.[Powe84f]
David M. W. Powers, "PROLOG - The wood for the trees. (PART
III)", Electronics Today International (Australia), pp. 132-136 (Sep
1984).
23.[Powe84e]
David M. W. Powers, "PROLOG - Goto considered impossible. (PART
II)". Electronics Today International (Australia), pp. 127-130 (Aug
1984).
24.[Powe84d]
David M. W. Powers, "PROLOG - Not just another programming
language. (PART I)", Electronics Today International (Australia), pp.
73-76 (Jul 1984).
25.[Powe83d]
David M. W. Powers, "Robot Intelligence", Electronics Today
International (Australia), pp. 15-18 (Dec 1983). also available as DCS Report
8304 (Mar 1983), Dept of Computer Science, University of NSW, Australia.
(f)
Conference Papers & Workshops
1.[Mats08a] Takeshi Matsumoto, David Powers and Nasser Asgari (in
press), Webcam Configurations for Ground Texture Visual Servo, IEEE
International Conference on Cybernetics & Intelligent Systems, Robotics,
Automation and Mechatronics (CIS-RAM 2008), Chengdu China (6pp). Postponed
due to earthquake.
3.[Leib08a] Richard Leibbrandt & David M. W. Powers (in
press), Grammatical category induction using lexically-based templates,
Supplement. Boston Univ. Conference on Language Development 32, Nov 2-4,
2007, Full, (8pp).
4.[Luer08b] Martin H. Luerssen,
Lewis, T.W., Leibbrandt, R. and Powers, David M.W. (in press), Adaptive
Multimodal Perception for a Virtual Museum Guide. 3rd Workshop
on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI’08),
18th European Conference on Artificial Intelligence (ECAI’08),
July 21-25, 2008, Patras Greece (accepted May 2008) (5pp)
5.[Powe08c] David M. W. Powers, Richard Leibbrandt, Darius
Pfitzner, Martin Luerssen, Trent Lewis, Arman
Abrahamyan and Kate Stevens (in press), Language Teaching in a Mixed Reality Games Environment,
The 1st International Conference on PErvasive Technologies Related to
Assistive Environments (PETRA) Workshop on "Gaming Design and
Experience: Design for Engaging Experience and Social Interaction", July
15-19, 2008, Athens Greece (accepted May 2008) (7pp)
6.[Powe08b] David M. W. Powers (in press), Evaluation
Evaluation, The 18th European Conference on Artificial Intelligence
(ECAI’08), July 21-25, 2008, Patras Greece (accepted May 2008) (2pp).
7.[Powe08a] David M. W. Powers, Richard Leibbrandt, Martin
Luerssen, Trent Lewis and Mike Lawson (in press), PETA – a Pedagogical
Embodied Teaching Agent, The 1st International Conference on PErvasive
Technologies Related to Assistive Environments (PETRA) Workshop on “Pervasive
Technologies in e/m-Learning and Internet based Experiments” (PTLIE), July
15-19, 2008, Athens Greece (accepted May 2008) (8pp)
8.[Treh08] Kenneth Treharne, Darius Pfitzner, Richard Leibbrandt &
David M. W. Powers (in press), A Lean Online Approach to Human
Factors Research, The 1st International Conference on PErvasive
Technologies Related to Assistive Environments (PETRA) workshop on
“Pervasive Technologies in e/m-Learning and Internet based Experiments”
(PTLIE), July 15-19, 2008, Athens Greece. (accepted May 2008) (8pp)
9.[Yang08a] Dongqiang Yang and David Powers (2008), “Automatic Thesaurus
Construction”, Australia Computer Science Conference (ACSC2007),
Wollongong January 2008, Full, pp147-156, awarded best student paper.
10.[Leib07b] Richard Leibbrandt & David M. W.
Powers (2007), Grammatical
category induction using lexically-based templates, Proceedings. Boston
University Conference on Language Development 32, Nov 2-4, 2007, Abstract.
11.[Cegl07a] Aaron Ceglar, John F.
Roddick and David M.W. Powers , “CURIO : A Fast Outlier and Outlier Cluster
Detection Algorithm for Large Datasets”, Second International Workshop on
Integrating AI and Data Mining (AIDM2007), GoldCoast, December
2007, Full, 37-45
12.[Yang07a]
Dongqiang Yang and David Powers (2007), “An Empirical Investigation into Grammatically
Constrained Contexts in predicting distributional similarity”, Australia
Language Technology Workshop (ALTW07), Melbourne, December 2007, Full,
117-125
14.[Powe07d]
David Powers, Sean Fitzgibbon and Richard Clark (2007): Brain
Computer Interface , Joint HCSNet-HxI Workshop on Human Issues in
Interaction and Interactive Interfaces, 13-14 September 2007, Australian
Technology Park, Sydney, Abstract.
15.[LiSa07b]
* Martin Li Santi, Richard Leibbrandt, David M W Powers (2007): Desiderata
and Trade-offs in HxI for Immersive Language Learning, Joint
HCSNet-HxI Workshop on Human Issues in Interaction and Interactive Interfaces,
13-14 September 2007, Australian Technology Park, Sydney, Abstract.
16.[Pfit07b]*
Darius Pfitzner, Kenneth Treharne & David M. W. Powers (2007): Cognitive
Load in Text Search: the Nwords and Rwords Surveys, Joint HCSNet-HxI
Workshop on Human Issues in Interaction and Interactive Interfaces, 13-14
September 2007, Australian Technology Park, Sydney, Abstract.
17.[Treh07b]
Kenneth Treharne, Richard Leibbrandt, David Powers (2007): The
role of 3D in visualization, Joint HCSNet-HxI Workshop on Human Issues
in Interaction and Interactive Interfaces, 13-14 September 2007,
Australian Technology Park, Sydney, Abstract.
18.[Luer07a]
Martin Luerssen & David M. W. Powers (2007), On the
use of embodied conversational agents in social and cognitive research, Australian
Society for Cognitive Science Conference, July 9-11, 2007, Abstract.
19.[LiSa07a]
Martin Li Santi, Richard Leibbrandt & David M. W. Powers (2007), Developing
3D Worlds for Language Learning, Australian Society for Cognitive
Science Conference, July 9-11, 2007, Abstract.
20.[Pfit07a]
Darius Pfitzner, Kenneth Treharne & David M. W. Powers (2007), Cognitive
load in text search: The Nwords and Rwords surveys, Australian Society
for Cognitive Science Conference, July 9-11, 2007, Abstract.
21.[Treh07a]
Kenneth Treharne, Darius Pfitzner & David M. W. Powers (2007), The
versatile role of motion in visualisation, Australian Society for
Cognitive Science Conference, July 9-11, 2007, Abstract.
22.[Leib07a]
Richard Leibbrandt & David M. W. Powers (2007),Learning
lexical categories using lexically-based templates , Australian
Society for Cognitive Science Conference, July 9-11, 2007, Abstract.
23.[Powe07b]
David M. W. Powers (2007), Language – recursion, recurrence or
recruitment?,Australian Society for Cognitive Science Conference,
July 9-11, 2007, Abstract.
24.[Powe07a]
David M. W. Powers (2007), Virtual Intelligence – The Total Turing Test in
Practice, Australian Society for Cognitive Science Conference,
July 9-11, 2007, Abstract.
25.[Luer07c]
Martin H. Luerssen, & David M. W. Powers (2007), Evolvability
and Redundancy in Shared Grammar Evolution, Proceedings of the IEEE Congress
on Evolutionary Computation, Singapore, September 25–28, 2007, Full.
26.[Luer07b]
Martin H. Luerssen, & David M. W. Powers (2007), Graph
Design by Graph Grammar Evolution,Proceedings of the IEEE Congress on
Evolutionary Computation, Singapore, September 25–28, 2007, Full.(Resubmitted/accepted
update of a paper of the same title accepted and nominated for best paper for
GECCO 2007: Genetic and Evolutionary Computation Conference,
London UK, July 2007, accepted 15 March 2007, but withdrawn as attendance not
funded.)
28.[Yang06b]
Dongqiang Yang and David Powers, Distributional Similarity in the Varied
Order of Syntactic Spaces. IEEE International Conferences on Innovative
Computing Information and Control (ICICIC-2006),Beijing China, pp406-409. (http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.439)
29.[Yang06a]
Dongqiang Yang and David Powers, Verb similarity on the taxonomy of
WordNet, The Third International WordNet Conference (GWC-06),
Jeju Island, Korea. pp121-128
30.[Yang05a]
Dongqiang Yang and David Powers, Measuring Semantic Similarity in the
Taxonomy of WordNet, ACSC’05 Australasian Computer Science Conference.
pp315-322 (http://crpit.com/confpapers/CRPITV38Yang.pdf)
31.[Powe05a]
Powers, David. M. W., Biologically-Motivated Machine Learning of Natural
Language and Ontology: A Computational Cognitive Model, Abstract.
HCSNet/NICTA Workshop on Multi-Modal User Interface; Full paper: http://david.wardpowers.info/Research/AI/papers/200502=MMUI-BMMLNLO.doc
32.[Luer05c]
Luerssen, M. H. & Powers, D. M. W. (2005). Graph composition in a
graph grammar-based method for automata network evolution. In D. W. Corne
(Ed.), Proceedings of the IEEE Congress on Evolutionary Computation,
Edinburgh, UK, pages 1653-1660. Piscataway, USA: IEEE Press. (http://dx.doi.org/10.1109/CEC.2005.1554887)
33.[Luer05a]
Luerssen, M. H. and David M. W. Powers (2005). Graph grammar encoding and
evolution of automata networks. In V. Estivill-Castro (Ed.), Proceedings
of the 28th Australasian Computer Science Conference, Newcastle,
Australia, volume 38 of Conferences in Research and Practice in Information
Technology, pp 229-238. Sydney, Australia: Australian Computer Society.
34.[Lewi05a]
Trent W. Lewis and David M. W. Powers (2005), Distinctive Feature Fusion
for Improved Audio-Visual Phoneme Recognition. Proceedings of the IEEE 8th
International Symposium on Signal Processing and Its Applications ISSPA 2005,
pp 62-65, Sydney, Australia, 28-31 August 2005. IEEE Press.
38.[Powe03a]
* David M. W. Powers
(2003). Recall and Precision versus the Bookmaker. International
Conference on Cognitive Science, University of New South Wales, July
2003, pp529-534.
39.[Olss03a]
Roland Olsson and David Powers (2003). Machine Learning of Human
Language through Automatic Programming, International Conference on
Cognitive Science, University of New South Wales, July 2003, pp507-512 http://david.wardpowers.info/Research/AI/papers/200302-ICCS-NLADATE.pdf
41.[Luer03a]
Martin Luerssen and David Powers (2003). On the Artificial
Evolution of Neural Graph Grammars. International Conference on
Cognitive Science, University of New South Wales, July 2003. (pp369-374)
42.[Li03b] Yan Li, Peng Wen and David Powers, Methods for the
Blind Signal Separation Problem, IEEE Int'l Conf. on Neural Networks and
Signal Processing (ICNNSP'03), Nanjin, China, Dec 14-17, 2003 (pp1386-1389).
43.[Huan03a]
Jin Hu Huang and David Powers (2003). Chinese Word Segmentation
based on Contextual Entropy. Pacific Asia Conference on Language,
Information and Computation, September 2003 , pp121-127.
44.[Pfit02a]
Darius Pfitzner, Vaughan Hobbs and David Powers (2002), A unified
taxonomic framework for information visualization. pp.57-66, Proc.Australian
Symposium on Information Visualization, Adelaide, February 2003.
45.[Lewi02a]
* Lewis, T. W. and
D. M. W. Powers (2002). Audio-Visual Speech Recognition using Red
Exclusion and Neural Networks. Proc. Australian Computer Science
Conference (ACSC2002), Melbourne AUS. Nominated for best paper and
awarded best student paper. (http://crpit.com/confpapers/CRPITV4Lewis.pdf)
46.[Huan02a]
Huang, J. H. and David Powers (2002), Experiments on Unsupervised
Chinese Word Segmentation and Classification. First Students Workshop on
Computational Lingusitics, 83-89. Peking University, August 2002.
48.[Li01b]
Li, Y and D. Powers (2001). "Speech Separation Based on Higher
Order Statistics Using Recurrent Neural Networks", pp. 45-56, Proc.International
Workshop on Hybrid Intelligent Systems (HIS'01), December 2001; to be
published in the Springer-Verlag "Advances in Soft Computing"
Series. (http://david.wardpowers.info/Research/AI/papers/200107-HIS-BSSHORN.pdf)
49.[Li01a]
* Li, Y, D. M. W. Powers
and P. Wen (2001), Separation and Deconvolution of Speech Using Recurrent
Neural Networks, pp. 1303--1309, Vol. III, Proceedings of the
International Conference on Artificial Intelligence (IC-AI'01), June
25-28, 2001, Las Vegas, Nevada, USA (http://david.wardpowers.info/Research/AI/papers/200103-ICAI-BSSRNN.pdf)
50.[Lewi01b]
Lewis, T. and D. Powers (2001). "A Multifaceted Investigation
into Speech Reading", pp.64-79, Proc.International
Workshop on Hybrid Intelligent Systems (HIS'01), December 2001;
Springer-Verlag "Advances in Soft Computing" Series. (http://david.wardpowers.info/Research/AI/papers/200108-HIS-MISR.pdf)
51.[Huan01a]
Huang, Jin Hu and David M W Powers, “Large scale
experiments on correction of confused words". pp77-82, Proc. Australian Computer Science
Conference (ACSC2001), Gold Coast AUS. (http://portal.acm.org/citation.cfm?id=545564.545574)
53.[Powe99a]
David M. W. Powers, "Basic Assumptions in Acquisition
Research", Invited Keynote, Ecology of Language Workshop,
Amsterdam, January 1999
54.[Li99a]
* Yan Li, Peng Wen,
David Powers and Richard Clark, LSB neural network based
segmentation of MR brain image, Proc. 1999 IEEE Systems, Man and
Cybernetics Conference, October 12--15, 1999,Tokyo, Japan. (http://david.wardpowers.info/Research/AI/papers/199905-LSBMR-SMC.pdf)
56.[Powe98c]
* David M. W. Powers,
"Reconciliation of Unsupervised Clustering, Segmentation and Cohesion",
pp307-310, NeMLaP3/CoNLL98 Paradigms and Grounding in Language Learning
Workshop, Adelaide, January 1998. (http://david.wardpowers.info/Research/AI/papers/199801e-PaGiLL-UCSC.pdf)
60.[Powe96f]
David M. W. Powers, "Machine Learning of Natural Language",
Invited Tutorial, Sixth Australian International Conference on
Speech Science and Technology, December 1996 (Working Notes disseminated)
61.[Powe97d]
David M. W. Powers, "Machine Learning of Natural Language",
ACL Tutorial, ACL/EACL'97 Joint Conference (35th Annual Meeting
of the ACL and 8th Conference of the European Chapter of the ACL) Madrid,
July 1997 (Working Notes available through ACL.)
62.[Powe97c]
* David M. W. Powers
"Learning and Application of Differential Grammars", CoNLL97:
ACL Workshop on Computational Natural Language Learning, Madrid, July
1997 pp88-96. http://citeseer.ist.psu.edu/331602.html
63.[Powe97b]
* David M. W. Powers
"Perceptual Foundations for Cognitive Linguistics", International
Conference on Cognitive Linguistics, Amsterdam, July 1997, p173.
64.[Powe97a]
David M. W. Powers "Metaphor and Learning: The Phonology of
Syntax", International Conference on Cognitive Linguistics
(special theme session on Computer Models in Cognitive Linguistics),
Amsterdam, July 1997, pp260-265.
65.[Powe96g]
D.M.W. Powers, C.R.Clark, S.E. Dixon and D.L. Weber, "Cocktails
and Brainwaves: Experiments with Complex and Subliminal Auditory Stimuli",
pp68-71, Proceedings of the Australian and New Zealand Conference on
Intelligent Information Systems, IEEE 96TH8234, Adelaide, November 1996 (http://dx.doi.org/10.1109/ANZIIS.1996.573891)
67.[Powe96d]
David M. W. Powers, "Goodness Measures for Unsupervised
Language Learning", Invited Lecture, Workshop on Machine Learning
of Natural Language, European Summer School in Logic, Language and
Information, Prague, August 1996.
69.[Dixo96a]
* Simon E. Dixon and
David M. W. Powers, "The Characterisation, Separation and
Transcription of Complex Acoustic Signals", pp63-78, Sixth Australian International
Conference on Speech Science and Technology, ASSTA, December 1996 (http://david.wardpowers.info/Research/AI/papers/199609-SST-CSTCAS.pdf)
70.[Cull96a]
Jamie Cullen, David Powers and Todd Rockoff, "Data-Parallel
Rendering for Virtual Reality: A quantitative investigation of SIMD design
for a ray tracing application", Australasian Computer
Architecture Conference, pp47-64, Monash University, January 1996
(Springer LNCS) http://david.wardpowers.info/Research/AI/papers/199509-ACAW-SIMD.pdf
72.[Powe94b]
David M. W. Powers, "Unsupervised Learning of Language
Knowledge", Invited Talk, pp13-14, ELSnet/MLnet workshop on Machine
Learning of Natural Language and Speech, Amsterdam NL, December 1994
73.[Powe93e]
* David M. W. Powers,
"Critique and Summary of Discussion: A Coordination Point",
pp.83-89, ECML'92 Workshop on Machine Learning and Text Analysis,
Vienna, Austria, April 1993. This is a report on the meeting that
commissioned me to explore options for the founding of an NLL SIG linked to a
relevant professional society, and lead to the founding of ACL SIGNLL later
on that same year. It includes summaries of the research being undertaken by
the relevant groups.
74.[Powe93d]
* David M. W. Powers,
"Directions in Machine Learning of Natural Language",
Invited Position Paper, pp.77-82, in ECML'92 Workshop on Machine Learning
and Text Analysis, Vienna, Austria, April 1993.
75.[Powe93c]
David M. W. Powers, "From Cognitive Linguistics to Machine
Learning of Natural Language", pp 127-135, 2nd Workshop on the
Cognitive Science of Natural Language Processing, Dublin July 93.
76.[Powe92e]
David M. W. Powers, "Natural and Artificial Language
Acquisition: Gold, Poverty and Desperation", Invited Talk, BENELUX
Network on First Language Acquisition (NET), Second NET-Symposium, Amsterdam
February 1992 (Extended Abstract).
77.[Powe92c]
David M. W. Powers, "On the Significance of Closed Classes and
Boundary Conditions: Experiments in Lexical and Syntactic Learning",
pp.245-266 in [Dael92a].
78.[Powe91m]
David M. W. Powers, "On the promise of learning and the
problems of modularity: A biased view of Natural Language Learning",
in [Powe91n].
79.[Powe91l]
David M. W. Powers, "Machine Learning of Natural Language:
Roots, Branches and Leaves", 4th Annual Meeting of the German
Computer Society Special Interest Group 1.1.3 on Machine Learning, Stuttgart,
FRG, July 1991 (Invited Paper: Abstract only; a related paper appears as
[Powe91m])
80.[Powe91k]
David M. W. Powers, "Logic Programming with Pseudo-Resolution",
Proc. 2nd Russian Conference on Logic Programming, Leningrad,
September 1991 (Springer-Verlag).
81.[Powe91j]
David M. W. Powers, "Parallelized QuickSort and RadixSort with
Optimal Speedup", Proc. Parallel Computing Technologies
Conference, Novosibirsk, pp.167-176, September 1991 (World Scientific,
Singapore).
82.[Powe91i]
David M. W. Powers, "Language Learning in an Automated Theorem
Prover.", International Conference for Logic Programming Workshop
on Advanced Logic Programming Tools and Formalisms for Language Processing,
44-54, INRIA, Paris, June 1991.
83.[Powe91f]
David M. W. Powers, "Parallel and Efficient Implementation of
the Compartmentalized Connection Graph Proof Procedure", presented
at the International Workshop on Massively Parallel Inference Systems,
Schloss Dagstuhl FRG, December 1990. Abstract only. Full paper published in
Fronhoefer & Wrightson, Parallelism in Inference Systems,
pp.210-233.
84.[Powe91b]
David M. W. Powers, "How far can self-organization go? Results
in unsupervised language learning." Proc. .AAAI Spring Symposium
on Machine Learning of Natural Language and Ontology, 131-136 March 1991,
Stanford.
85.[Powe91a]
David M. W. Powers, "Goals, Issues and Directions in Machine
Learning of Natural Language and Ontology". Chairman's background
paper and preface, AAAI Spring Symposium on Machine Learning of Natural
Language and Ontology, March 1991, Stanford CA [Powe91c]. A different
version appears in SIGART Bulletin 2(1), 101-114, January 1991.
86.[Powe90p]
David M. W. Powers, "Connection Graphs for Logic Programming",
7th Annual Meeting of the German Computer Society Special Interest Group
1.2.1 on Deduction Systems, Johanniskreuz, FRG, Sep 1990 (Abstract only
printed; this work forms part of SEKI Report SR-90-16, Univ. Kaiserslautern
FRG.)
87.[Powe90o]
David M. W. Powers, "The unfinished language",
Contribution to Pre-COLING Colloquium on the unfinished language, 13th
International Conference on Computational Linguistics (Aug 1990).
88.[Powe90n]
David M. W. Powers, "Metaphor and Symbol", Symbol
Grounding Workshop, 16th Annual Meeting of the Society for Philosophy and
Psychology, Maryland USA (Jun 1990 - abstract only printed).
89.[Zowg88a]
Didar Zowghi and David M. W. Powers, "An experimental expert
system for DNA restriction mapping", General Conference of the
8th Int. Workshop on Expert Systems and their Applications, Avignon
FRANCE, 497-514 (May 1988).
90.[Powe88c]
David M. W. Powers, "A PROLOG Simulator for studying Visual
Learning", Intelligent Robots and Computer Vision Conference of
the SPIE Symposium on Optical and Optoelectronic Engineering, Cambridge
MA, Vol. 1002, 482-489 (Nov 1988).
91.[Powe88b]
David M. W. Powers, Lazaro Davila and Graham Wrightson, "Implementing
Connection Graphs for Logic Programming", Best Paper, AI
Symposium of the 9th European Meeting on Cybernetics, Vienna AUSTRIA, in
R. Trappl (ed.), Cybernetics and Systems '88, 957-964 (Apr 1988).
92.[Davi87a]
L. Davila, David M. W. Powers, D. Meagher and D. Menzies,
"Further Experiments in Computer Learning of Natural Language",
Proc. Aust. Joint AI Conf., Sydney NSW, pp. 458-468 (Nov 1987).
93.[Powe85d]
David M. W. Powers, "Revisiting Naive and Nativist Language
Learning", Presented at the Joint Annual Conference of the
Australasian Association of Philosophy & the Aust. Association of
History, Philosophy and Social Studies of Science, Sydney, NSW (abstract only
printed, Aug 1985).
94.[Wise84a]
* Michael J. Wise
and David M. W. Powers, "Indexing PROLOG Clauses via
Superimposed Code Words and Field Encoded Words", International
Symposium on Logic Programming, Pittsburg PA, 203-210 (Feb 1984).
95.[Powe84g]
David M. W. Powers, "Experiments in Computer Learning of
Natural Language", Proc. Aust. Comp. Conf., Sydney NSW,
489-500 (Nov 1984).
96.[Powe84a]
David M. W. Powers, "Natural Language the Natural Way,"
Presented at the Australasian Association for Logic Annual Meeting, Sydney
NSW, July 4-8 1984; Abstract, Journal of Symbolic Logic 51(2), 504-505
(1986); Full Paper, Computer Compacts, pp. 100-109 (Jul 1984).
97.[Powe83b]
David M. W. Powers, "Neurolinguistics and Psycholinguistics as
a Basis for Computer Acquisition of Natural Language," Aust.
Postgrad. Research Conf., Sydney; full paper appears in SIGART 84,
29-34 (June 1983).
(g) Commissioned Papers and
Internal Reports
1.[Powe07d] * David M W Powers, Evaluation:
From Precision, Recall and F-Factor
to ROC, Informedness, Markedness & Correlation, School of Informatics and
Engineering, Flinders University • Adelaide • Australia, Technical Report
SIE-07-001, December 2007
2.[Fitz05a] * Sean P Fitzgibbon, C. Richard
Clark, David MW Powers, Evaluation of Methodology for Determination of
Cognitive Load and Skill Acquisition, DSTO Contract – final report.
3.[Fitz03a] Sean P Fitzgibbon, C. Richard Clark,
David MW Powers, Development of Methodology for Determination of
Cognitive Load and Skill Acquisition, DSTO Contract – preliminary
report.
4.[Powe02a] * David M W Powers, “Clustering
and Ranking of Search Engine Results”, YourAmigo White Paper YA004
(contract under START grant – final report)
5.[Powe01b] David M W Powers,
“Clustering and Ranking of Search Engine Results”, YourAmigo White Paper
YA004p (START contract – preliminary)
6.[Powe92d] * David M. W. Powers,
"Multi-Modal Modelling with Multi-Module Mechanisms: Autonomy in a
Computational Model of Language Learning." Invited position paper. ITK
TR:33, University of Tilburg, NL
7.[Powe90w] David M. W. Powers,
"Goals, Issues and Directions in Machine Learning of Natural Language
and Ontology". SEKI Report SR-90-14, University of Kaiserslautern FRG.
Expanded version of [Powe91a/91c]
8.[Powe90t] David M. W. Powers,
"Parallelized QuickSort with Optimal Speedup", SEKI Report
SR-90-09, University of Kaiserslautern FRG.
9.[Powe90i] David M. W. Powers,
"Compartmentalized Connection Graphs for Logic Programming. II:
Parallelism, Indexing and Unification", SEKI Report SR-90-17, University
of Kaiserslautern FRG.
10.[Powe90h]
David M. W. Powers, "Compartmentalized Connection Graphs for
Concurrent Logic Programming I: Compartmentalization, Transformation and
Examples", SEKI Report SR-90-16, Univ. Kaiserslautern FRG.
11.[Powe85e]
David M. W. Powers, "A Psycholinguistic Approach to the
Acquisition of Natural Language by Computers", Ph.D. Thesis, Electrical
Engineering and Computer Science, University of NSW, Sydney, AUSTRALIA
(submitted Aug 1985, condensed Oct 1987, book: [Powe89a]).
12.[Powe83c]
David M. W. Powers and G. B. McMahon, "A Compendium of
Interesting PROLOG programmes", DCS Report 8313, Department of Computer
Science, University of NSW, Sydney, NSW, Australia (Dec 1983).
13.[Powe83a]
* David M. W. Powers,
"Lateral Interaction Behaviour Derived from Neural Packing
Considerations", DCS Report No 8317, Department of Computer Science,
University of NSW, Australia (Apr 1983). This pioneering paper was rejected
by a journal for very poor reasons but naively wasn’t resubmitted.
1.[Powe08a] D.M.W Powers and Sean Fitzgibbon
(2008), “Informedness with significance and confidence”, Matlab code and Excel
spreadsheets for calculating informedness and comparison with other
statistics. Code relating to [Powe07d].
2.[Powe03c] D.M.W Powers and Sean Fitzgibbon
(2003), “Informedness of a Contingency Matrix”, Matlab code and Excel
spreadsheets for calculating informedness and comparison with other
statistics. (on Softpedia, Mathworks, Dodo). Code relating to [Powe03a].
3.[Stee03d] R.J.Steele and D.M. Powers, "An
indexing system and method": Assignee,YourAmigo Pty Ltd, New Zealand
Patent Application No. NZ519640
4.[Stee03c] R.J.Steele and D.M. Powers, "An
indexing system and method": Assignee,YourAmigo Pty Ltd, EU Patent
Application No. EP1250663
5.[Stee03b] R.J.Steele and D.M. Powers, "An
indexing system and method": Assignee,YourAmigo Pty Ltd, US Patent
Application No. 10/168,132
6.[Stee03a] R.J.Steele and D.M. Powers, "An
indexing system and method": Assignee,YourAmigo Pty Ltd, Canadian Patent
Application No. CA 2394820
7.[Stee02b] R.J.Steele and D.M. Powers, "An
indexing system and method": Assignee,YourAmigo Pty Ltd, Australian
Patent Application No. 23285/01
8.[Stee02a] * R.J.Steele and D.M. Powers, "An
indexing system and method": Assignee,YourAmigo Pty Ltd, International
Patent Application No. PCT/AU00/01554
9.[Lewi02b] * Trent Lewis and David Powers, Red
Exclusion/AVSR – research software for finding and tracking faces and
lips and fusing audio and visual information for improved speech recognition
under adverse and noisy – see [Lewi00a/b; 01a/b/c; 02a; 03a/b]. Commercial
interest is being sought to support the productizing and commercialization of
this software. A canned demo is available.
10.[Powe00c] David M W Powers, ChartAnnotate
(http://www.visp.com.au/~powers/chartannotate/index2.html)
– software to download charts and prices from the web and overlay Point &
Figure and Volume, Tick or Time Distribution Profiles based on and extending
the Distribution Theory of Peter Steidlmayer. The software is no longer supported and has not been
adapted to changes in web formats and Java standards. The accompanying
tutorial (http://www.visp.com.au/~powers/chartannotate/truemome.html)
was first presented as part of a Flinders University Honours topic on
Unsupervised Machine Learning as well as to the Australian Technical Analysis
Association (www.ataa.org.au).
11.[Powe98e] David Powers, Loebner
Prize organizational and evaluation scripts – to setup terminals with
remote interactions so programs and human confederates interact with judges in
the same way, terminals are clearly labelled with judge and terminal numbers,
interactions can be monitored and commentated, scores are automatically
collected from judges and collated, and statistics are produced both to rank
the entrant progams and display the sample probability of their passing the
Turing Test.
12.[YA97a] * Robert Steele, David Powers, and
YourAmigo Pty Ltd, Enterprise Search (www.youramigo.com.au). Deep websearch
of the hidden web – discovers and exposes pages are generated dynamically and
may never have been visited.
13.[I2Net96a] * Brian Hanisch, David Powers, The
Flinders AI Lab, and I2Net Pty Ltd, Orion (www.i2net.com.au) and Clipsal Homspeak
(www.clipsal.com). Speech control of
equipment, interfaces with Clipsal C-bus equipment.
1.[Lewi01c] Trent Lewis,
David Powers, Yan Li and The Flinders AI Lab, AVSR Corpus – research
corpus for training software for finding and tracking faces and lips and
fusing audio and visual information for improved speech recognition under
adverse and noisy – see [Lewi00a; 01a/b; 02a/b; 03a/b]. Commercial interest
is being sought to support the further development of this corpus and
associated hardware and software.
[BaCo98a] Véronique
Bastin and Denis Cordier, Méthodes utilisées lors d'un essai du «Test de
Turing», Mémoire, Maître en Informatique, Université Notre-Dame de la Paix,
Namur, Belgium. (Master of Computer Science Theses; supervisor: D.M.W.Powers.)
[Bisc87a] Lars Bischoff,
"MAGRATHEA on the Gould UTX/32: Robot World Implementation Report",
MARPIA Memo 8701, March 1987.
[Chan88a] Rita Chan,
"Concept Learning by Computer: Simple Movement", School of Maths,
Physics, Computing and Electronics, Macquarie University. (Computer Science
Honours project report; supervisor: D. M. W. Powers.)
[Chow03a] Abu Sayeed
Chowdhury, “Automatic Decision Making System in Public Service”, School of
Informatics and Engineering, Flinders University, Adelaide (Master of
Information Technology Thesis; supervisor: D. M. W. Powers)
[Cull95a] Jamie S. Cullen,
"`Data-Parallel Rendering for Virtual Reality: A quantitative
investigation of SIMD design for a ray tracing application", Dept of
Computer Science, Flinders University, Adelaide (Honours thesis; supervisors:
T. E. Rockoff, D. M. W. Powers.)
[Davi87a] Lazaro Davila, “CONG
- A Connection Graph Theorem Prover" School of Maths, Physics, Computing
and Electronics, Macquarie University. (Computer Science Honours project
report; supervisors: D. M. W. Powers, G. Wrightson)
[Dunc99a] Sara Duncan, Eddy
Grabis and Michael Vonhof, “Artificially Intelligent Robot Baby”, School of
Informatics and Engineering, Flinders University, Adelaide (Engineering Honours
Theses; supervisor: D. M. W. Powers, Sherry Randhawa)
[Epps86a] Graham Epps,
"MAPHIA - Interfacing and Preliminary Communication Software", MARPIA
Technical Report 8602, School of Maths and Physics, Macquarie University.
(Computer Science Honours project report; supervisors: D. M. W. Powers,
R. E. Buckley.)
[Entw97a] Jim Entwisle, “A
constraint parser”, Dept of Computer Science, Flinders University, Adelaide
(Computer Science PhD Thesis; supervisor: D. M. W. Powers)
[Fitz07a] Sean P Fitzgibbon,
“A Machine Learning Approach to Brain-Computer Interfacing”, School of
Psychology, Flinders University, Adelaide (PhD Thesis; supervisors: C. R. Clark
and D. M. W. Powers).
[Gard88a] John Gardner,
"Parallel Unification: Implementation and Low Level Software", School
of Maths, Physics, Computing and Electronics, Macquarie University. (Computer
Science Honours project report; supervisors: D. M. W. Powers, R. E.
Buckley.)
[Hawe03a[ Steven Hawes, “Can
Allule evolve Communication”, School of Informatics and Engineering, Flinders
University, Adelaide (Computer Science Honours Thesis; supervisor: D. M. W. Powers)
[Hobb99a] Vaughan Hobbs,
"Verification of arithmetic circuits using formal methods and automatic
theorem proving", Dept of Computer Science, Flinders University, Adelaide
(Computer Science Honours Thesis; supervisor: A. Omondi and D.M.W.Powers))
[Home98a] David A. Homes,
"Perceptually Grounded Language Learning", B.Sc. Honours Thesis, Dept
of Computer Science, Flinders University, Adelaide. (Computer Science Honours
Thesis; supervisor: D.M.W. Powers.)
[Hume84a] David Hume, Creating
Interactive Worlds with Multiple Actors, Computer Science Honours Thesis,
Electrical Engineering and Computer Science, Uni. of NSW, Sydney, AUSTRALIA
(Nov 1984). (Supervisors: D.M.W.Powers, G.B.McMahon.)
[Kain95a] Chhiue Se Kaing,
"A simulated robot for learning and cognition", Dept of Computer
Science, Flinders University, Adelaide (Computer Science Honours Thesis;
supervisor: D. M. W. Powers)
[Kern96a] Philip Kernick,
(1996), "A statistical grammar checker", Dept of Computer Science,
Flinders University, Adelaide (Honours Thesis; supervisor: D. M. W. Powers)
[Lewi00b] Trent W. Lewis
(2000), "Audio Visual Speech Recognition: Extraction, Recognition and
Integration", School of Informatics and Engineering, Flinders University,
Adelaide (Computer Science Honours Thesis; supervisor: D. M. W. Powers)
[Lewi03b] Trent W. Lewis
(2003), "Noise-robust Audio Visual Phoneme Recognition", School of
Informatics and Engineering, Flinders University, Adelaide (Computer Science
PhD Thesis; supervisor: D. M. W. Powers)
[Li03a] Yan Li (2003), “New
neural network training algorithms – applications to blind signal separation”,
School of Informatics and Engineering, Flinders University, Adelaide (Computer
Science PhD Thesis; supervisor: D. M. W. Powers)
[Luer01a] Martin Luerssen
(2001), “Evolving Neural Networks for Visual Object Recognition”, School of
Informatics and Engineering, Flinders University, Adelaide (Computer Science
Honours Thesis; supervisor: D. M. W. Powers)
[Luer05b] Luerssen M. H. (2005). Phenotype diversity objectives for
graph grammar evolution. In H A Abbass, T Bossomaier & J Wiles (Eds.),
Recent advances in artificial life (Advances in natural computation, Vol. 3).
Singapore: World Scientific. (accepted 4 Aug 2005; DMW Powers, Supervisor).
[Luer06a] Martin Luerssen
(2006), “Evolving Neural Graph Grammars”, School of Informatics and
Engineering, Flinders University, Adelaide (Computer Science PhD Thesis;
supervisor: D. M. W. Powers).
[Mats03c] Takeshi Matsumoto
(2003), “Applications of Search Algorithms for Natural Language Processing”,
School of Informatics and Engineering, Flinders University, Adelaide (Computer
Science Honours Thesis; supervisor: D. M. W. Powers)
[Menz87a] David C. Menzies,
"Project MAPHIA: NS32016 Development Board Installation", Supplement
to MARPIA Technical Report 8602
[Menz87a] David C. Menzies,
``PROLEX User Guide'', MARPIA Technical Report 8709
[Nett86a] Philip Nettleton,
"A Semantic Tableau Theorem Prover", MARPIA Technical Report 8603,
School of Maths and Physics, Macquarie University. (Computer Science Honours
thesis, supervisors: G. Wrightson & D. M. W. Powers.)
[Nech98a] Nick Nechvoglod,
"Artificial Intelligence techniques for the classification of human EEG
signals", B.Sc. Honours Thesis, Dept of Computer Science, Flinders
University, Adelaide . (Computer Science Honours Thesis; supervisor: D.M.W. Powers.)
[Noll99a] Oliver Nölle,
“Laughter Detection in a Sound Signal”, B.Sc. Computer Science Project Report,
Dept of Computer Science, Flinders University, Adelaide . (supervisor: D.M.W. Powers.)
[Peac99a] James Peach,
"Blind Source Separation for Real Applications", B.Sc. Honours
Thesis, Dept of Computer Science, Flinders University, Adelaide. (Computer
Science Honours Thesis; supervisors: A. Omondi, D.M.W. Powers.)
[Pfit03a] Darius Pfitzner,
“Development and Assessment of Search-Return Visualizations”, School of
Informatics and Engineering, Flinders University, Adelaide (Masters of
Information Technology Thesis; supervisor: D. M. W. Powers)
[Porq05a] Catherine Porquier,
“English to French Contextual Translation Aided by WordNet and Link Grammar”,
School of Informatics and Engineering, Flinders University, Adelaide (Computer
Science Honours Thesis; supervisor: D. M. W. Powers)
[Sand84a] Andrew Sands,
"A Searching Strategy and Heuristics for a Concept Learner", Computer
Science Honours Thesis, Electrical Engineering and Computer Science, University
of NSW, Sydney, AUSTRALIA (Nov 1984). (Supervisors: Claude Sammut, David M. W. Powers.)
[Schi94a] Georg Schifferdecker,
"Finding Structure in Language", Diplom Thesis, University of
Karlsruhe FRG (May 1994). (Supervisor DMW Powers.)
[Schu91a] Achim Schupeta,
"Towards a Testbed for the Simulation of Multi-Agent Scenarios",
Computer Science Masters Thesis, University of Kaiserslautern FRG (Nov 1991).
(Supervisors DMW Powers, J Mueller.)
[Shar96a] Darryl Sharman,
"Network Enabled Parallelism in Hardware System Simulation", Dept of
Computer Science, Flinders University, Adelaide. (Computer Science Honours
Thesis; supervisor: D.M.W. Powers.)
[Shas03a] Mahesh Shastry,
“Baby robot microphone array design for talker location”, School of Informatics
and Engineering, Flinders University, Adelaide (Engineering Honours Theses;
supervisor: D. M. W. Powers, Sherry Randhawa)
[Stee99a] Robert Steele, “A
distributed search engine for dynamic page indexing, stale link handling and
data collection”, Dept of Computer Science, Flinders University, Adelaide
(Computer Science PhD Thesis; supervisor: D. M. W. Powers)
[Tham04a] George Thambi,
“Automated Segmentation of Computed Tomography Radiological Images using Neural
Networks”, School of Informatics and Engineering, Flinders University, Adelaide
(Master of Information Technology Thesis; supervisor: D. M. W. Powers)
[Treh06a] Kenneth Treharne,
“Dynamic Encoding in Graphical User Interfaces”, School of Informatics and
Engineering, Flinders University, Adelaide (Information Technology Honours
Thesis; supervisor: D. M. W. Powers)
[Vall99a] Scott Vallance,
"Identification of Musical Instrments by their Static Spectral
Characteristics", Dept of Computer Science, Flinders University, Adelaide.
(Computer Science Honours Thesis; supervisors: D. M. W. Powers,
S. Dixon, J. Entwisle.)
