D. Stacey

发表

Approaches , methods , metrics , measures , and subjectivity in ontology evaluation : A survey

Deborah Stacey, Hlomani Hlomani, H. Hlomani, 2014 .

Modeling and support tools for studying disease spread in livestock using networks

N. Harvey, D. Stacey, Joel Francis, 2010 .

Intelligent systems architecture: Design techniques

Deborah Stacey, D. Stacey, 1994 .

Solving the Traveling Salesman Problem Using the Enhanced Genetic Algorithm

Lixin Yang, Deborah A. Stacey, D. Stacey, 2001, Canadian Conference on AI.

Simple artificial neural network models can generate basic muscle activity patterns for human locomotion at different speeds

S. D. Prentice, D. A. Stacey, A. E. Patla, 1998, Experimental Brain Research.

Software engineering issues for small-scale parallelism

Ryan Eccles, Deborah A. Stacey, D. Stacey, 2005, 19th International Symposium on High Performance Computing Systems and Applications (HPCS'05).

A new Canadian interdisciplinary Ph.D. in computational sciences

Gary William Grewal, Stefan C. Kremer, Fangju Wang, 2015, J. Comput. Sci..

Artificial neural network model for the generation of muscle activation patterns for human locomotion.

A E Patla, S D Prentice, D A Stacey, 2001, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

Contributing Evidence to Data-driven Ontology Evaluation - Workflow Ontologies Perspective

Hlomani Hlomani, Deborah A. Stacey, H. Hlomani, 2013, KEOD.

Understanding the Parallel Programmer

Ryan Eccles, Deborah A. Stacey, D. Stacey, 2006, 20th International Symposium on High-Performance Computing in an Advanced Collaborative Environment (HPCS'06).

Clustering unlabeled data with SOMs improves classification of labeled real-world data

Stefan C. Kremer, Deborah Stacey, Rozita Dara, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

An ontology-driven approach to mobile data collection applications for the healthcare industry

S. Harper, H. Hlomani, D. Stacey, 2013, 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI).

An ontology-driven approach to mobile data collection applications for the healthcare industry

Daniel Kotowski, Gabriela Henriques, Hlomani Hlomani, 2012, Network Modeling Analysis in Health Informatics and Bioinformatics.

An Ontology Driven Approach to Software Systems Composition

Hlomani Hlomani, Deborah A. Stacey, H. Hlomani, 2009, KEOD.

Ontology Library - A New Approach for Storing, Searching and Discovering Ontologies

Daniel Kotowski, Deborah A. Stacey, D. Stacey, 2012, KEOD.

'Cheap grid': Leveraging system failure using stochastic computation

Andrew Hamilton-Wright, Deborah A. Stacey, A. Hamilton-Wright, 2007, Future Gener. Comput. Syst..

Using spare network computing power for genetic algorithm problems

Andrew Hamilton-Wright, Deborah A. Stacey, A. Hamilton-Wright, 2002, Proceedings 16th Annual International Symposium on High Performance Computing Systems and Applications.

Modelling the time-keeping function of the central pattern generator for locomotion using artificial sequential neural network

S. D. Prentice, D. A. Stacey, A. E. Patla, 1995, Medical and Biological Engineering and Computing.

Region-Based Convolutional Networks for End-to-End Detection of Agricultural Mushrooms

Mohamed Kashkoush, Rozita Dara, Deborah Stacey, 2018, ICISP.

GPU-Accelerated Wire-Length Estimation for FPGA Placement

Christian Fobel, Deborah Stacey, Gary Grewal, 2011, 2011 Symposium on Application Accelerators in High-Performance Computing.

An Ontology-based Framework for Syndromic Surveillance Method Selection

Gabriela Henriques, Deborah A. Stacey, D. Stacey, 2012, KEOD.