Michael J. Watts

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6 years 45 weeks

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Title
Dr.
Occupation
Associate Professor
Discipline(s)
Computational intelligence, artificial neural networks, evolutionary algorithms, ecological modelling
University
AIS St Helens
Department
Information Technology Programme
Country
New Zealand
Town / City
Auckland
Previous Universities
University of Adelaide, University of Sydney, Lincoln University, University of Otago
my website
http://mike.watts.net.nz
RESEARCH INTERESTS
Ecological modelling, computational intelligence, artificial neural networks, evolutionary algorithms, evolving connectionist systems

My_Publications

My Publications

Refereed publications:
47

Other publications:
13

In review /
preparation:
9

Total citations:
272

h-index: 8


Books


Watts, M.J.
Woodford, B.J. and Kasabov, N.K. Data Analysis and Knowledge
Discovery
. Taylor and Francis. In preparation.



Theses


Watts,
M.J.
Evolving
connectionist systems: characterisation, simplification,
formalisation, explanation and optimisation. PhD thesis, University
of Otago, New Zealand. 2004.
http://eprints.otago.ac.nz/333/



Book
Chapters


Watts,
M.J.
, Bianconi, A., Serapiao, A.B.S., Govone, J.S., and von
Zuben, C.J. The Effectiveness of Artificial Neural Networks in
Modelling the Nutritional Ecology of a Blowfly Species. In:
Ecological Modelling. Novascience Press. Forthcoming (2011)


Watts, M.J. Towards
a formalisation of evolving connectionist systems. In: Artificial
Neural Networks. Novascience Press. (2010).


Watts,
M.J.
and Worner,
S.P. Modelling Insect Habitat Suitability with Artificial Neural
Networks. In:

Insect Habitats: Characteristics, Diversity and Management
.
Edina L. Harris and Newell E. Davies, eds. Novascience Press.
(2010).


Watts,
M.J.
and Kasabov, N. Neuro-genetic tools and techniques. In:
Neuro-Fuzzy Techniques for Intelligent Information Processing.
N. Kasabov and R. Kozma, eds. Heidelberg, Physica Verlag (1999) pg
97-110. Citations: 3


Kasabov,
N.
, Kozma, R., Kilgour, R., Laws, M., Taylor, J., Watts, M.
and Gray, A. Hybrid connectionist-based methods and systems for
speech data analysis and phoneme-based speech recognition. In:
Neuro-Fuzzy Techniques for Intelligent Information Processing.
N. Kasabov and R. Kozma, eds. Heidelberg, Physica Verlag (1999) pg
241-264. Citations: 8



Journal
Articles


Pontin, D.R., Schliebs,
S., Worner, S.P. And Watts, M.J. Finding relevant data in
noisy, complex ecological times series: a comparison of two feature
selection methods. Ecological Modelling.
Accepted 2011.


Watts, M.J. Using
data clustering as a method of estimating the risk of establishment
of bacterial crop diseases. Computational Ecology and Software
(2011) 1(1) 1-13
.


Watts, M.J. A
decade of Kasabov’s Evolving Connectionist Systems: A Review. IEEE
Transactions on Systems, Man and Cybernetics Part C - Applications
and Reviews
(2009) 39(3) 253-269. Citations: 8


Watts,
M.J.
, Worner, S.P., Estimating the risk of insect species
invasion: Kohonen self-organising maps versus k-means clustering. In:
Ecological Modelling (2009) 220(6) 821-829. Citations: 3


Watts,
M.J.
and Worner, S.P. Comparing
Ensemble and Cascaded Neural Networks that Combine Biotic and Abiotic
Variables to Predict Insect Species Distribution. In:
Ecological
Informatics
(2008) 3(6)
354-366. Citations:
3


Watts,
M.J.
and Worner, S.P. Using
Artificial Neural Networks to Determine the Relative Contribution of
Abiotic Factors Influencing the Establishment of Insect Pest Species.
In:
Ecological Informatics
(2008) 3(1) 64-74.
Citations: 3


Watts,
M.J.
and Worner, S.P. Comparison of
a Self Organising Map and Simple Evolving Connectionist System for
Predicting Insect Pest Establishment. In:
International
Journal of Information Technology.

(2006) 12(6) 35-42.
Citations: 2


Watts,
M.J.
ANN Rule Extraction using
Evolutionary Programmed Fuzzy Membership Functions. In:
International
Journal of Information Technology: Special Issue on Evolutionary
Algorithm and Advanced Learning System

(2005) 11(10) 45-53.
Citations: 2


Watts,
M.J.
Fuzzy Rule Extraction from
Simple Evolving Connectionist Systems. In:
International
Journal of Computational Intelligence and Applications, Special Issue
on Neuro-Computing and Hybrid Methods for Evolving Intelligence

(2004) 4(3) 299-308.
Citations: 5


Ghobakhlou,
A.,
Watts, M.J.
and Kasabov, N.K. Adaptive speech recognition with evolving
connectionist systems. In:
Information
sciences
(2003) 156(1-2): 71-83.
Citations: 10


Moyle,
S. and
Watts,
M.J.
Neural Nets
Raise the Roof.

IEEE Intelligent Systems
,

January-February
2003, Vol. 18, Issue 1. IEEE Computer Society, 2003, 8-10.


Kasabov,
N.K. and Kozma, R. and Watts,
M. J.
Phoneme-based speech
recognition via fuzzy neural networks modeling and learning. In:
Information Sciences,
(1998) 110(1-2): 61-79.
Citations: 3

Kasabov,
N., Kim, J, Watts,
M.J.

and Gray, A. FuNN/2 - A fuzzy neural network architecture for
adaptive learning and knowledge acquisition in multi-modular
distributed environments. In: Information
Sciences

(1997) 101(3-4): 155-175. Citations:
88



Journal
Articles in Review


Watts,
M.J.
and Worner, S.P. Improving cluster-based methods for
investigating potential for insect species establishment:
region-specific risk factors. Ecological Modelling.


Watts, M.J. ,
Berthier, K., Sword, G., Ji, R., Deveson, T. Wang, H. and Simpson,
S.J. Using artificial neural networks to model the spatial
distribution of Australian plague locust nymphs from local habitat
descriptors. Ecological Informatics.


Watts, M.J. , Li,
Y., Russel, B., Mellin, C., Connell, S. and Fordham, D.A. A novel
method for mapping reefs and subtidal rocky habitats using artificial
neural networks. Ecological Modelling.


Bradshaw,
C.J.A. , McMahon, C.R., Miller, P.S., Lacy, R.C., Verant, M.L.,
Pollack, J.P., Fordham, D.A., Watts, M.J., Prowse, T.A.A. And
Brook, B.W. Dynamics of bovine tuberculosis in Australian swamp
buffalo based on coupled epidemiological and demographic models.
Journal of Applied Ecology.


Journal
Articles in Preparation


Watts, M.J. ,
Fordham, D.A., Akcakaya, H.R. and Brook, B.W. Tracking metapopulation
range margin changes using geographical centroids of patches weighted
by population size and density.


Watts, M.J. ,
Bertheir, K., Sword, G., Deveson, T., Wang, H. and Simpson, S.J.
Modelling the spatial distribution of Australian plague locust nymphs
from MODIS images using ensembles of neural networks.


Watts, M.J. ,
Worner, S.P. and Braithwaite, M. Modelling the distribution of fungal
crop diseases using artificial neural networks.


Watts, M.J. and
Worner, S.P. Determining the risk of establishment of fungal crop
diseases from data clustering: The effects of noise.


Watts,
M.J.
and Worner, S.P. Using artificial neural networks to
predict the distribution of bacterial crop diseases from biotic and
abiotic factors.




Refereed
Conference Papers


Watts,
M.J.
and Worner, S.P. Predicting the Distribution of Fungal Crop
Diseases from Abiotic and Biotic Factors using Multi-layer
Perceptrons. In: Proceedings of ICONIP 2008, LNCS 5506 pg 899-906.


Pontin,
D.R.
, Worner, S.P. and Watts, M.J. Using Time Lagged Input
Data to Improve Prediction of Stinging Jellyfish Occurrence at New
Zealand Beaches by Multi-Layer Perceptrons. In: Proceedings of ICONIP
2008, LNCS 5506 pg 907-914. Citations: 1


Worner
S.P.
, Watts M.J., Pitt J.P.W. & Gevrey M. Being
prepared: ecological informatics and computational intelligence
methods applied to invasive insect risk assessment. International
Congress of Entomology, 6-11 July, Durban, South Africa, 2008


Pontin,
D.R.
, Watts, M.J. and Worner, S.P. Using Multi-Layer
Perceptrons to Predict the Presence of Jellyfish of the Genus
Physalia at New Zealand Beaches. International Joint
Conference on Neural Networks 2008, Hong Kong, June 1-6, 2008
.
pg1171-1176 Citations: 2


Worner,
S.P.
and Watts, M.J. Null Model Analysis of a Self
Organising Map of Invasive Species Distributions. 5th
International Conference on Ecological Informatics (ISEI5) Novel
Computational Techniques for Improved Management, Understanding and
Forecasting of Complex Ecological Data

December 4
– 6, 2006, Santa Barbara, CA, USA
2006.


Watts,
M.J.
and
Worner, S.P. Null-model Validation of MLP Input Contribution Analysis
in Ecology. 6th International Conference on Hybrid Intelligent
Systems (HIS 06') and 4th Conference on Neuro-Computing and Evolving
Intelligence (NCEI ‘06). 13-15 December, AUT Technology Park,
Auckland, New Zealand


Worner,
S.P.
,
Watts,
M.J.

and M. Gevrey. 2006. Bootstrapping a self organising map model to
estimate the uncertainty in assemblages of alien invasive species.
Proceedings

Management of sustainability and ecological modelling. International
Congress of Ecological Modelling, August 28 - September 1, Ube
-Yamaguchi, Japan

2006. pg 206-207 (2006)


Watts,
M.J.

and Worner, S.P. Using MLP to Determine Abiotic Factors Influencing
the Establishment of Insect Pest Species. In:
Proceedings
of 2006 International Joint Conference on Neural Networks (IJCNN
2006), Vancouver, Canada,

pg 3506-3511 (2006)

Citations:
2


Watts,
M.J.
Nominal-Scale
Evolving Connectionist Systems.
In:
Proceedings
of 2006 International Joint Conference on Neural Networks (IJCNN
2006), Vancouver, Canada,
pg
4057-4061 (2006)
Citations:
2


Watts,
M.J.
ANN Rule
Extraction using Evolutionary Programmed Fuzzy Membership Functions.
In:
Proceedings
of 2005 International Conference on Intelligent Computing (ICIC
2005), Hefei, PRC
pg
2517-2526 (2005).


Watts,
M.J.
and Worner,
S.P. Comparison of Artificial Neural Networks Models for Predicting
Insect Pest Establishment. In:
Proceedings
of 2005 International Conference on Intelligent Computing (ICIC
2005), Hefei, PRC

pg 520-529 (2005).


Worner,
S. P.
,
Watts,
M.J.
,
Gevrey, M. and Pitt, J. 2005. Neuro-computing methods as aids to
assessing the invasion potential of alien insects.
IX
International Congress of Ecology, August 7-12 2005, Montreal, Canada

(2005).


Watts,
M.J.,
Worner, S.P., Lankin, G.O., and Teulon, D. A Comparison of
MLP and ECoS Networks for the Prediction of the Flight of Aphids in
Autumn Sown Wheat Crops. In: Proceedings Conference on
Neuro-Computing and Evolving Intelligence 2004, NCEI'04, 13-15
December, 2004, AUT Technology Park, 581 Great South Road, Auckland,
New Zealand
. Editors: Nik Kasabov, Zeke S.H. Chan (2004).


Moyle,
S. A.
and Watts, M.J. Fuzzy Neural Networks in a Palm
Environment. In: Proceedings of the Fourteenth National Conference
on Innovative Applications of Artificial Intelligence / IAAI-02
Eighteenth National Conference on Artificial Intelligence (AAAI-02)
,
AAAI Press/The MIT Press pg 1008-1009 (2002).


Pollock,
R.,
Lane, T. and Watts, M.J. A Kohonen Self-Organizing Map
for the functional classification of proteins based on
one-dimensional sequence information. In: Proceedings of the
International Joint Conference on Neural Networks (IJCNN) 2002
.
pg 189-192 (2002). Citations: 3


Watts,
M.J.
and Kasabov, N.K. Evolutionary Optimisation of Evolving
Connectionist Systems. In: Proceedings of the Congress on
Evolutionary Computation (CEC) 2002
. pg 606-610 (2002).
Citations: 8


Watts,
M.J.,
Major, L. and Tate, W.P. Evolutionary Optimisation of
Multi-layer Perceptrons for Modelling Protein Synthesis Termination
Signal Efficiency. In: Proceedings of the Congress on Evolutionary
Computation (CEC) 2002
pg 193-198 (2002). Citations: 2


Moyle,
S.
and Watts, M.J. The Roof Maintenance Problem - a Fuzzy
Expert System. In: Proceedings of the Fifth Biannual Conference on
Artificial Neural Networks and Expert Systems (ANNES2001)
, pg
213-217 (2001).


Watts,
M. J.,
Major, L., Kasabov, N.K., and Tate, W. Neural Network
Analysis of Protein Synthesis Termination Signal Efficiency. In:
Proceedings of International Conference on Neural Information
Processing (ICONIP) 2001,
Shanghai, China pg 975-980 (2001).
Citations: 1


Watts,
M.J.
, and Kasabov, N.K. Dynamic optimisation of evolving
connectionist system training parameters by pseudo-evolution
strategy. In: Proceedings of the Congress on Evolutionary
Computation (CEC) 2001.
Seoul, Korea, pg 1335-1342 (2001).
Citations: 8


Ghobakhlou,
A.
, Watts, M.J. and Kasabov, N.K. On-line expansion of
output space in evolving fuzzy neural networks. In: Proceedings of
International Conference on Neural Information Processing (ICONIP)
2000
. Taejon, Korea, pg 891-896 (2000). Citations: 6


Watts, M.J. and
Kasabov, N.K. Simple evolving connectionist systems and experiments
on isolated phoneme recognition. In: Proceedings of the first IEEE
conference on evolutionary computation and neural networks.
San
Antonio, IEEE Press, pg 232-239 (2000). Citations: 13


Laws, M., Kilgour,
R. and Watts, M.J. Analysis of the New Zealand English and
Māori on-line
translator. In: Proceedings of the Fifth Joint Conference on
Information Sciences.
Atlantic City, pg 848-851 (2000).
Citations: 2


Watts, M.J. Evolving
connectionist systems for biochemical applications. In: Emerging
Knowledge Engineering and Connectionist-based Systems (Proceedings of
the ICONIP/ANZIIS/ANNES'99 Workshop "Future directions for
intelligent systems and information sciences"
, Dunedin,
22-23 Nov.1999)
. Dunedin, University of Otago Press, pg 147-151
(1999). Citations: 5


Watts,
M.J.
, Woodford, B. and Kasabov, N.K. FuzzyCOPE - a software
environment for building intelligent systems - the past, the present
and the future. In: Emerging Knowledge Engineering and
Connectionist-based Systems (Proceedings of the
ICONIP/ANZIIS/ANNES'99 Workshop "Future directions for
intelligent systems and information sciences"
, Dunedin,
22-23 Nov.1999)
. Dunedin, University of Otago Press, pg 188-192
(1999). Citations: 4


Watts,
M.J.
An investigation of the properties of evolving fuzzy neural
networks. In: Proceedings of International Conference on Neural
Information Processing (ICONIP) 1999
. Perth, Australia, IEEE
Press, pg 217-221 (1999). Citations: 5


Tuck,
D.
, Watts. M.J., Song, Q. and Kasabov, N.K. A practical
and flexible environment for adaptive knowledge and data fusion
applications. In: Proceedings of International Conference On
Applications of Intelligent Systems,
Melbourne, Australia,
(1999). Citations: 2


Kasabov,
N.K.
, Tuck, D.L. and Watts, M.J. Implementing knowledge
and data fusion in a versatile software environment for adaptive
learning and decision-making. In: Proceedings of the Second
International Conference on Information Fusion (FUSION'99),
International Society of Information Fusion (ISIF).
Omnipress
(USA), pg 455-462 (1999). Citations: 2


Watts,
M.J.
and Kasabov, N.K. Genetic algorithms for the design of fuzzy
neural networks. In: Proceedings of ICONIP'98 Conference.
Kitakyushu, Japan, Ohmsha Press, Tokyo, pg 793-796 (1998).
Citations: 23


Kasabov, N.K., and
Watts, M.J. Genetic algorithms for structural optimization,
dynamic adaptation and automated design of fuzzy neural networks. In:
Proceedings of ICNN '97 Conference. Houston, Texas. IEEE Press
pg 2546-2549, (1997). Citations: 20


Ward,
R.
, Purvis, M., Raykov, R., Zhang, F., Watts, M.J. An
architecture for distributed connectionist computation. In: Progress
in Connectionist-Based Information Systems, Proceedings of the ICONIP
/ ANZIIS / ANNES '97.
Dunedin, Springer Verlag, Singapore, pg
721-724, (1997). Citations: 2


Kasabov,
N.K.
, Kozma, R., Kilgour, R., Laws, M., Taylor, J., Watts,
M.J.
and Gray, A. "A Methodology for Speech Data Analysis
and a Framework for Adaptive Speech Recognition Using Fuzzy Neural
Networks". In: Progress in Connectionist-Based Information
Systems, Proceedings of the ICONIP / ANZIIS / ANNES '97.
Dunedin,
Springer Verlag, Singapore, pg 1055-1060 (1997). Citations: 7



Refereed
Conference Posters


Watts,
M.J.
Fuzzy rule extraction from simple evolving connectionist
systems. Neuro-Computing and Evolving Intelligence, November
20-21, 2003, Auckland, New Zealand
, (2003).


Laws, M. and Watts,
M.J.
Polynesian translation system. Neuro-Computing and
Evolving Intelligence, November 20-21, 2003, Auckland, New Zealand
,
(2003).


Watts,
M.J.
, Kasabov, N. and Middlemiss, M. mRNA splice site prediction
with evolving connectionist systems. In: FAOBMB Genome Diversity
and Bioinformatics, Dunedin, New Zealand, November 28th to December
3rd 1999
, (1999).



Technical Reports


Watts,
M.J.
and Worner, S.P. Further Sensitivity Analysis of Simple
Evolving Connectionist Systems Applied to the Lincoln Aphid Data Set.
Technical Report, Bio-Protection and Ecology, Lincoln University.
ISBN 978-0-86476-177-5. February, 2007. Citations: 1


Watts, M.J. and
Worner, S.P. Comparison of Multi-Layer Perceptrons and Simple
Evolving Connectionist Systems over the Lincoln Aphid Data Set.
Technical Report, Bio-Protection and Ecology, Lincoln University.
ISBN 978-0-86476-175-9. February, 2007. Citations: 1


Watts,
M.J.
and Worner,
S.P. Using Multi-Layer Perceptrons to Model the Lincoln Aphid Data
Set. Technical Report, Bio-Protection and Ecology, Lincoln
University. ISBN 978-0-86476-176-7. February, 2007.


Fairweather,
J.
, Hunt, L.,
Rosin, C., Campbell, H., Benge, J. and
Watts,
M.J.

Understanding kiwifruit management using causal mapping. Agriculture
Research Group on Sustainability (ARGOS) Research Report 06/09. 2006.
Citations: 8


Moyle,
S.
and Watts,
M.J.
Fuzzy
Neural Networks (FuNN) in the Palm Environment. Technical Report,
Department of Information Science, University of Otago, 2002.


Moyle, S.
and
Watts, M.J. The
roof maintenance problem — a fuzzy expert system. Department of
Information Science, University of Otago, Dunedin, New Zealand, 2001.


Kasabov,
N.
and Watts,
M.J.

Spatial-Temporal Adaptation in Evolving Fuzzy Neural Networks for
On-line Adaptive Phoneme Recognition, Technical Report TR99/03,
Department of Information Science, University of Otago, 1999.
Citations: 6



Websites


The Computational
Intelligence blog:
http://computational-intelligence.blogspot.com


Evolving Connectionist
Systems:
http://ecos.watts.net.nz



Computer
Software


Watts,
M.J.

Evolving Connectionist System (ECoS) Toolbox, June 2010.

http://ecos.watts.net.nz


Watts,
M.J.
and Laws, M. English-Māori
Online Translator, July 1998-2004, http://kel.otago.ac.nz/translator/
(now at http://translator.wananga.ac.nz/)


Watts,
M.J.
, Woodford, B.J. and Pearson, S., FuzzyCOPE/3 1997-1999

Research

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