Alan B. Tickle

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Artificial intelligence meets artificial insemination: an application of rule extraction from neural networks

Joachim Diederich, Ross Hayward, Emanoil Pop, 1995, IEA/AIE '95.

The Risk Data Repository: A Novel Approach to Security Risk Modelling

Dennis Longley, Alison Anderson, Alan B. Tickle, 1993, SEC.

Quo Vadis? Reliable and Practical Rule Extraction from Neural Networks

Shlomo Geva, Joachim Diederich, Alan B. Tickle, 2010, Advances in Machine Learning I.

KARDS: hybrid knowledge acquisition for a security risk model

Joachim Diederich, Alison Anderson, Alan B. Tickle, 1995, IEA/AIE '95.

Extracting rules for grammar recognition from Cascade-2 networks

Joachim Diederich, Ross Hayward, Alan B. Tickle, 1995, Learning for Natural Language Processing.

Extracting the Knowledge Embedded within Trained Artificial Neural Networks: Defining the Agenda

Guido Bologna, Frédéric Maire, Joachim Diederich, 1999, IIA/SOCO.

A Methodology for Describing Information and Physical Security Architectures

Dennis Longley, William J. Caelli, Alan B. Tickle, 1992, SEC.

A Low Cost Controller Board for Teaching Robotics

Frédéric Maire, Rajendra Singh, Joaquin Sitte, 2005, AMiRE.

The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks

Joachim Diederich, Robert Andrews, Mostefa Golea, 1998, IEEE Trans. Neural Networks.

Implications of the tax file number legislation for computer professionals

William J. Caelli, David Edmond, Alan B. Tickle, 1990, Australian Computer Journal.

Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks

Guido Bologna, Frédéric Maire, Joachim Diederich, 1998, Hybrid Neural Systems.

Survey and critique of techniques for extracting rules from trained artificial neural networks

Joachim Diederich, Robert Andrews, Alan B. Tickle, 1995, Knowl. Based Syst..

The truth is in there : directions and challenges in extracting rules from trained ar tificial neural networks

Alan B. Tickle, 2001 .

Clinical applications of artificial neural networks: A review of techniques for extracting rules from trained artificial neural networks

Alan Tickle, Joachim Diederich, Robert Andrews, 2001 .

The truth is in there : directions and challenges in extracting rules from trained ar tificial neural networks

Alan B. Tickle, 2001 .

Using a Network Simulation Tool to engage students in Active Learning enhances their understanding of complex data communications concepts

Karen Stark, Alan Tickle, Cecil Goldstein, 2005, ACE.

Diagnostic Learning: Using Web-Based Self Diagnostic Tools for Learning Abstract Concepts in Data Network Education

Alan Tickle, Christine S. Bruce, Alan B. Tickle, 2005 .

Parametric Differences between a Real-world Distributed Denial-of-Service Attack and a Flash Event

George M. Mohay, Ejaz Ahmed, Sajal Bhatia, 2011, 2011 Sixth International Conference on Availability, Reliability and Security.

A framework for generating realistic traffic for Distributed Denial-of-Service attacks and Flash Events

George M. Mohay, Desmond Allan Schmidt, Sajal Bhatia, 2014, Comput. Secur..

A Distributed Denial of Service Testbed

George M. Mohay, Ejaz Ahmed, Desmond Allan Schmidt, 2010, HCC.

Detection and Mitigation of High-Rate Flooding Attacks

George M. Mohay, Balaraman Ravindran, Alan Tickle, 2011 .

DoS Vulnerabilities in IPv6

Ejaz Ahmed, Alan Tickle, Suriadi Suriadi, 2011 .