Outputs (76)

Using Wittgenstein’s family resemblance principle to learn exemplars (2008)
Journal Article
Vadera, S., Rodriguez, A., Succar, E., & Wu, J. (2008). Using Wittgenstein’s family resemblance principle to learn exemplars. Foundations of Science, 13(1), 67-74. https://doi.org/10.1007/s10699-007-9119-2

The introduction of the notion of family resemblance represented a major shift in Wittgenstein’s thoughts on the meaning of words, moving away from a belief that words were well defined, to a view that words denoted less well defined categories of... Read More about Using Wittgenstein’s family resemblance principle to learn exemplars.

AI and OR in management of operations: history and trends (2007)
Journal Article
Kobbacy, K., Vadera, S., & Rasmy, M. (2007). AI and OR in management of operations: history and trends. Journal of the Operational Research Society, 58(1), 10-28. https://doi.org/10.1057/palgrave.jors.2602132

The last decade has seen a considerable growth in the use of Artificial Intelligence (AI) for operations management with the aim of finding solutions to problems that are increasing in complexity and scale. This paper begins by setting the context fo... Read More about AI and OR in management of operations: history and trends.

A probabilistic model for information and sensor validation (2006)
Journal Article
Ibargüengoytia, P., Vadera, S., & Sucar, L. (2006). A probabilistic model for information and sensor validation. Computer Journal, 49(1), 113-126. https://doi.org/10.1093/comjnl/bxh142

This paper develops a new theory and model for information and sensor validation. The model represents relationships between variables using Bayesian networks and utilizes probabilistic propagation to estimate the expected values of variables. If the... Read More about A probabilistic model for information and sensor validation.

A probabilistic model for information and sensor validation (2006)
Journal Article
Ibargüengoytia, P., Vadera, S., & Sucar, L. (2006). A probabilistic model for information and sensor validation. Computer Journal, 49(1), 113-126. https://doi.org/10.1093/comjnl/bxh142

This paper develops a new theory and model for information and sensor validation. The model represents relationships between variables using Bayesian networks and utilizes probabilistic propagation to estimate the expected values of variables. If the... Read More about A probabilistic model for information and sensor validation.

Inducing safer oblique trees without costs (2005)
Journal Article
Vadera, S. (2005). Inducing safer oblique trees without costs. Expert Systems, 22(4), 206-221. https://doi.org/10.1111/j.1468-0394.2005.00311.x

Decision tree induction has been widely studied and applied. In safety applications, such as determining whether a chemical process is safe or whether a person has a medical condition, the cost of misclassification in one of the classes is significan... Read More about Inducing safer oblique trees without costs.

Inducing safer oblique trees without costs (2005)
Journal Article
Vadera, S. (2005). Inducing safer oblique trees without costs. Expert Systems, 22(4), 206-221. https://doi.org/10.1111/j.1468-0394.2005.00311.x

Decision tree induction has been widely studied and applied. In safety applications, such as determining whether a chemical process is safe or whether a person has a medical condition, the cost of misclassification in one of the classes is significan... Read More about Inducing safer oblique trees without costs.

Obtaining E-R diagrams semi-automatically from natural language specifications (2004)
Presentation / Conference
Meziane, F., & Vadera, S. (2004, April). Obtaining E-R diagrams semi-automatically from natural language specifications. Poster presented at Sixth International Conference on Enterprise Information Systems (ICEIS 2004), Universidade Portucalense, Porto, Portugal

Since their inception, entity relationship models have played a central role in systems specification, analysis and development. They have become an important part of several development methodologies and standards such as SSADM. Obtaining entity r... Read More about Obtaining E-R diagrams semi-automatically from natural language specifications.

A comparison of computer science and software engineering programmes in English universities (2004)
Presentation / Conference
Meziane, F., & Vadera, S. (2004, March). A comparison of computer science and software engineering programmes in English universities. Presented at 17th Conference on Software Engineering Education and Training 2004, Norfolk, Virginia, USA

Recent years have seen much debate about the appropriate content of software engineering (SE) programs and how they relate to computer science (CS) programs, culminating in the distinguishing knowledge areas identified in the ACM/IEEE CS and SE curri... Read More about A comparison of computer science and software engineering programmes in English universities.

A web based management of references (2004)
Presentation / Conference
O'Shea, S., Saraee, M., & Vadera, S. (2004, January). A web based management of references. Presented at The 2004 International Research Conference on Innovations in Information Technology (IIT2004), Dubai, UAE, Dubai, UAE

During the evolution of research from the beginning of a project to the end a large amount of information is accumulated from books, journals, articles, manuals and the internet. Managing all this information is a complex and crucial part, especially... Read More about A web based management of references.

Experience with mural in formalising Dust-Expert (2001)
Journal Article
Vadera, S., Meziane, F., & Huang, M. (2001). Experience with mural in formalising Dust-Expert. Information and Software Technology, 43(4), 231-240. https://doi.org/10.1016/S0950-5849%2800%2900161-0

The mural system was an outcome of a significant effort to develop a support tool for the effective use of a full formal methods development cycle. Experience with it, however, has been limited to a small number of illustrative examples that have bee... Read More about Experience with mural in formalising Dust-Expert.