Sunil Vadera

发表

European Conference on Intelligent Management Systems in Operations

Khairy A.H. Kobbacy, Sunil Vadera, 1997 .

Machine Learning in LacePro Multi-Functional Framework

Sunil Vadera, Eduardo F. Morales, P. de Buen, 1997 .

A Multi-armed Bandit Approach to Cost-Sensitive Decision Tree Learning

Sunil Vadera, Susan Lomax, Mohammed Saraee, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

BookA logical approach to expert systems and natural language processing: knowledge systems and PROLOG: by A Walker, M McCord, J F Sowa and W G Wilson. Published by Addison Wesley, 489pp. £30.95

Sunil Vadera, 1987 .

Natural Language Processing and Information Systems

Sunil Vadera, Elisabeth Métais, Farid Meziane, 2013, Lecture Notes in Computer Science.

Inducing safer oblique trees without costs

Sunil Vadera, S. Vadera, 2005, Expert Syst. J. Knowl. Eng..

A collaborative approach to user modeling with in a multi-functional architecture

Sunil Vadera, Eduardo F. Morales, Pablo R. de Buen, 1999 .

RuLess: A Method for the Acquisition and Simplification of Rules

Sunil Vadera, Eduardo F. Morales, Pablo Roberto de Buen-Rodríguez, 2000, MICAI.

A Probabilistic Model for Information and Sensor Validation

Sunil Vadera, Luis Enrique Sucar, Pablo H. Ibargüengoytia, 2006, Comput. J..

An empirical comparison of cost‐sensitive decision tree induction algorithms

Sunil Vadera, Susan Lomax, S. Vadera, 2011, Expert Syst. J. Knowl. Eng..

Obtaining E-R Diagrams Semi-Automatically from Natural Language Specifications

Sunil Vadera, Farid Meziane, 2004, ICEIS.

Case-based plant explosion advisory system using Induce-It

Sunil Vadera, Xu Shen, S. Vadera, 1995, Other Conferences.

A Probabilistic Exemplar-Based Model for Case-Based Reasoning

Sunil Vadera, Luis Enrique Sucar, Andres F. Rodriguez, 2000, MICAI.

Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects

Sunil Vadera, Farid Meziane, 2009 .

Experience with mural in formalising Dust-Expert

Sunil Vadera, Farid Meziane, M.-L. L. Huang, 2001, Inf. Softw. Technol..

Cost-Sensitive Bayesian Network Learning Using Sampling

Sunil Vadera, Eman Nashnush, S. Vadera, 2014, SCDM.

From English to Formal Specifications

Sunil Vadera, Farid Meziane, F. Meziane, 1994, Comput. J..

A Probabilistic Model for Sensor Validation

Sunil Vadera, Luis Enrique Sucar, Pablo H. Ibargüengoytia, 1996, UAI.

Case Studies in Applying Data Mining for Churn Analysis

Sunil Vadera, Susan Lomax, S. Vadera, 2017, Int. J. Concept. Struct. Smart Appl..

Intelligent systems in manufacturing: current developments and future prospects

Khairy A.H. Kobbacy, Sunil Vadera, Farid Meziane, 2000 .

Expert System Applications

Sunil Vadera, 1989 .

Real Time Intelligent Sensor Validation

Sunil Vadera, Luis Enrique Sucar, Pablo H. Ibargüengoytia, 2001 .

A survey of cost-sensitive decision tree induction algorithms

Sunil Vadera, Susan Lomax, S. Vadera, 2013, CSUR.

AI and OR in management of operations: history and trends

Sunil Vadera, Khairy A. H. Kobbacy, Mohamed Hassan Rasmy, 2007, J. Oper. Res. Soc..

Knowledge Based System to Learn, Apply and Consult Procedures

Sunil Vadera, Eduardo F. Morales, P. de Buen, 1998 .

Methods for Pruning Deep Neural Networks pdf

Sunil Vadera, Salem Ameen, 2020, ArXiv.

A theory of unification

Sunil Vadera, S. Vadera, 1988, Softw. Eng. J..

The MD Shell and its use to develop Dust‐Expert

Sunil Vadera, Said Nechab, 1995 .

A comparison of computer science and software engineering programmes in English universities

Sunil Vadera, Farid Meziane, 2004, 17th Conference on Software Engineering Education and Training, 2004. Proceedings..

ECCO: A New Evolutionary Classifier with Cost Optimisation

Sunil Vadera, Adam Omielan, S. Vadera, 2012, Intelligent Information Processing.

Review of heuristics for generalisation

Sunil Vadera, S. Vadera, 1995, Softw. Eng. J..

Advances in Computational Intelligence and Robotics (ACIR) Book Series

Sunil Vadera, Farid Meziane, 2009 .

A Framework for Employee Appraisals Based on Inductive Logic Programming and Data Mining Methods

Sunil Vadera, Darah Aqel, S. Vadera, 2013, NLDB.

A framework for employee appraisals based on sentiment analysis

Sunil Vadera, Darah Aqel, 2010, ISWSA '10.

A privacy-preserving blockchain-based tracing model for virus-infected people in cloud

Sunil Vadera, S. Vadera, Lei Wu, 2022, Expert systems with applications.

PEBM: A Probabilistic Exemplar Based Model

Sunil Vadera, Andres F. Rodriguez, S. Vadera, 1999, IJCAI.

Any Time Probabilistic Reasoning for Sensor Validation

Sunil Vadera, Luis Enrique Sucar, Pablo H. Ibargüengoytia, 1998, UAI.

Natural Language Processing and Information Systems

Sunil Vadera, Sugumaran, Elisabeth Métais, 2016, Lecture Notes in Computer Science.

Tools for producing formal specifications: a view of current architectures and future directions

Sunil Vadera, Farid Meziane, 1997, Ann. Softw. Eng..

A Cost-Sensitive Decision Tree Learning Algorithm Based on a Multi-Armed Bandit Framework

Sunil Vadera, Susan Lomax, S. Vadera, 2016, Comput. J..

Proof by analogy in mural

Sunil Vadera, 2005, Formal Aspects of Computing.

Learning cost-sensitive Bayesian networks via direct and indirect methods

Sunil Vadera, Eman Nashnush, S. Vadera, 2016, Integr. Comput. Aided Eng..

Artificial Intelligence in Software Engineering: Current Developments and Future Prospects

Sunil Vadera, Farid Meziane, 2012 .

CSNL: A cost-sensitive non-linear decision tree algorithm

Sunil Vadera, S. Vadera, 2010, TKDD.

A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images

Sunil Vadera, Salem Ameen, S. Vadera, 2017, Expert Syst. J. Knowl. Eng..

A Knowledge-Based Framework for Learning, Applying and Consulting Engineering Procedures

Sunil Vadera, Eduardo F. Morales, Pablo Roberto de Buen-Rodríguez, 1996, Intelligent Tutoring Systems.

A Probabilistic Model for Case-Based Reasoning

Sunil Vadera, Luis Enrique Sucar, Andres F. Rodriguez, 1997, ICCBR.

A Layered, Any Time Approach to Sensor Validation

Sunil Vadera, Luis Enrique Sucar, Pablo H. Ibargüengoytia, 1997, ECSQARU-FAPR.

Phishing Website Detection from URLs Using Classical Machine Learning ANN Model

Khaled Shaalan, Sunil Vadera, Tarek Gaber, 2021, SecureComm.

Cost-sensitive meta-learning framework

Sunil Vadera, Samar Ali Shilbayeh, S. Vadera, 2021, Journal of Modelling in Management.

Phishing Email Detection Using Natural Language Processing Techniques: A Literature Survey

Khaled Shaalan, Said A. Salloum, Sunil Vadera, 2021, Procedia Computer Science.

Decision support methods in diabetic patient management by insulin administration neural network vs. induction methods for knowledge classification

Sunil Vadera, B Ambrosiadou, Shankararaman, 2000 .