John Zeleznikow
John Zeleznikow
Professor of Law and Technology, La Trobe University
Verified email at - Homepage
Cited by
Cited by
Developing an online dispute resolution environment: Dialogue tools and negotiation support systems in a three-step model
AR Lodder, J Zeleznikow
Harv. Negot. L. Rev. 10, 287, 2005
A hybrid rule–neural approach for the automation of legal reasoning in the discretionary domain of family law in Australia
A Stranieri, J Zeleznikow, M Gawler, B Lewis
Artificial intelligence and law 7 (2), 153-183, 1999
Enhanced dispute resolution through the use of information technology
AR Lodder, J Zeleznikow
Cambridge University Press, 2010
Building Intelligent Legal Information Systems: Representation and Reasoning in law.
J Zeleznikow, D Hunter
Kluwer Law and Taxation Publishers, 1994
Online dispute resolution: an artificial intelligence perspective
D Carneiro, P Novais, F Andrade, J Zeleznikow, J Neves
Artificial Intelligence Review 41, 211-240, 2014
Data mining in elite sports: a review and a framework
B Ofoghi, J Zeleznikow, C MacMahon, M Raab
Measurement in Physical Education and Exercise Science 17 (3), 171-186, 2013
The split-up system: integrating neural networks and rule-based reasoning in the legal domain
J Zeleznikow, A Stranieri
Proceedings of the 5th international conference on Artificial intelligence …, 1995
Decision support systems for police: Lessons from the application of data mining techniques to “soft” forensic evidence
G Oatley, B Ewart, J Zeleznikow
Artificial Intelligence and Law 14, 35-100, 2006
Developing Negotiation Decision Support Systems that support mediators: a case study of the Family_Winner system
E Bellucci, J Zeleznikow
Artificial Intelligence and Law 13, 233-271, 2005
Using soft computing to build real world intelligent decision support systems in uncertain domains
J Zeleznikow, JR Nolan
Decision Support Systems 31 (2), 263-285, 2001
Knowledge discovery from legal databases
A Stranieri, J Zeleznikow
Springer Science & Business Media, 2006
Using case-based reasoning and principled negotiation to provide decision support for dispute resolution
D Carneiro, P Novais, F Andrade, J Zeleznikow, J Neves
Knowledge and Information Systems 36, 789-826, 2013
Can artificial intelligence and online dispute resolution enhance efficiency and effectiveness in courts
J Zeleznikow
IJCA 8, 30, 2016
Performance analysis and prediction in triathlon
B Ofoghi, J Zeleznikow, C Macmahon, J Rehula, DB Dwyer
Journal of sports sciences 34 (7), 607-612, 2016
A neural network model approach to the study of human TAP transporter
V Brusic, P van Endert, J Zeleznikow, S Daniel, J Hammer, N Petrovsky
In silico biology 1 (2), 109-121, 1999
The application of case-based reasoning to the tasks of health care planning
C Bradburn, J Zeleznikow
European Workshop on Case-Based Reasoning, 365-378, 1993
Regular semirings
J Zeleznekow
Semigroup Forum 23 (1), 119-136, 1981
Using web-based legal decision support systems to improve access to justice
J Zeleznikow
Information & Communications Technology Law 11 (1), 15-33, 2002
A comparative study of negotiation decision support systems
E Bellucci, J Zeleznikow
Proceedings of the Thirty-First Hawaii International Conference on System …, 1998
Family_Winner: integrating game theory and heuristics to provide negotiation support
J Zeleznikow, E Bellucci
Proceedings of sixteenth international conference on legal knowledge based …, 2003
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