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ORCIDKenneth McGarry
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2020 – today
- 2023
[j17]Ken McGarry
:
Analyzing Social Media Data Using Sentiment Mining and Bigram Analysis for the Recommendation of YouTube Videos. Inf. 14(7): 408 (2023)- [j16]Martin Wilson, Sharon McDonald, Dominic Button, Kenneth McGarry:
It Won't Happen to Me: Surveying SME Attitudes to Cyber-security. J. Comput. Inf. Syst. 63(2): 397-409 (2023) - [c21]Chris Prusakiewicz, Ken McGarry:
Quantitative Approach of Geospatial Sentiment Analysis to Reveal Opinions on the War in Ukraine. SGAI Conf. 2023: 293-306 - 2022
- [j15]Guendalina Caldarini, Sardar F. Jaf, Kenneth McGarry:
A Literature Survey of Recent Advances in Chatbots. Inf. 13(1): 41 (2022) - [c20]Ken McGarry:
Hidden Markov Models for Surprising Pattern Detection in Discrete Symbol Sequence Data. SGAI Conf. 2022: 180-194 - [c19]Ken McGarry:
Graph Theoretic and Stochastic Block Models Integrated with Matrix Factorization for Community Detection. UKCI 2022: 297-311 - [i1]Guendalina Caldarini, Sardar F. Jaf, Kenneth McGarry:
A Literature Survey of Recent Advances in Chatbots. CoRR abs/2201.06657 (2022) - 2020
- [j14]Amer Hosny, Mark Ashton, Yu Gong, Ken McGarry:
The development of a predictive model to identify potential HIV-1 attachment inhibitors. Comput. Biol. Medicine 120: 103743 (2020) - [j13]Ken McGarry, David Nelson, Mark Ashton:
A Method to Explore the Connectivity Patterns of Proteins and Drugs for Identifying Disease Communities. SN Comput. Sci. 1(3): 137 (2020)
2010 – 2019
- 2018
- [j12]Ken McGarry, Sharon McDonald:
Complex network theory for the identification and assessment of candidate protein targets. Comput. Biol. Medicine 97: 113-123 (2018) - [j11]Ken McGarry, Yitka Graham, Sharon McDonald, Anuam Rashid:
RESKO: Repositioning drugs by using side effects and knowledge from ontologies. Knowl. Based Syst. 160: 34-48 (2018) - 2017
- [c18]Ken McGarry, Sharon McDonald:
Computational methods for text mining user posts on a popular gaming forum for identifying user experience issues. BCS HCI 2017 - [c17]John Heritage, Sharon McDonald, Ken McGarry:
Integrating Association Rules Mined from Health-Care Data with Ontological Information for Automated Knowledge Generation. UKCI 2017: 3-16 - [c16]Ken McGarry, Ennock Assamoha:
Data Integration with Self-organising Neural Network Reveals Chemical Structure and Therapeutic Effects of Drug ATC Codes. UKCI 2017: 63-74 - 2016
- [c15]Ken McGarry, Kirsty Emery, Vithusa Varnakulasingam, Sharon McDonald, Mark Ashton:
Complex Network Based Computational Techniques for 'Edgetic' Modelling of Mutations Implicated with Cardiovascular Disease. UKCI 2016: 89-106 - [c14]Suthinan Rujirapipat, Ken McGarry, David Nelson:
Bioinformatic Analysis Using Complex Networks and Clustering Proteins Linked with Alzheimer's Disease. UKCI 2016: 219-230 - 2015
- [j10]Chih-Fong Tsai, Shih-Wen Ke, Kenneth McGarry, Ming-Yi Lin:
LocalContent: a personal scientific document retrieval system. Electron. Libr. 33(3): 373-385 (2015) - 2014
- [c13]Ken McGarry, Ukeme Daniel:
Computational techniques for identifying networks of interrelated diseases. UKCI 2014: 1-8 - 2013
- [j9]Ken McGarry:
Discovery of functional protein groups by clustering community links and integration of ontological knowledge. Expert Syst. Appl. 40(13): 5101-5112 (2013)
2000 – 2009
- 2008
- [c12]Kenneth McGarry, Kim Bartlett, Morteza Pourfarzam:
Exploratory Data Analysis for Investigating GC-MS Biomarkers. PRIB 2008: 349-358 - 2007
- [j8]Kenneth McGarry, James Chambers, Giles Oatley:
A multi-layered approach to protein data integration for diabetes research. Artif. Intell. Medicine 41(2): 129-143 (2007) - [c11]Kenneth McGarry, Sheila Garfield, Stefan Wermter:
Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks. CBMS 2007: 612-617 - [c10]Kenneth McGarry, Sheila Garfield, Nick Morris, Stefan Wermter:
Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery. NeSy 2007 - [c9]Kenneth McGarry, Mohammad Sarfraz, John MacIntyre:
Integrating Gene Expression Data from Microarrays Using the Self-Organising Map and the Gene Ontology. PRIB 2007: 206-217 - [c8]Norman Solomon, Giles Oatley, Kenneth McGarry:
A Fast Multivariate Nearest Neighbour Imputation Algorithm. World Congress on Engineering 2007: 940-947 - [c7]Norman Solomon, Giles Oatley, Kenneth McGarry:
A Dynamic Method for the Evaluation and Comparison of Imputation Techniques. World Congress on Engineering 2007: 974-982 - 2006
- [j7]Kenneth McGarry, Sheila Garfield, Nick Morris:
Recent trends in knowledge and data integration for the life sciences. Expert Syst. J. Knowl. Eng. 23(5): 330-341 (2006) - [j6]James Malone, Kenneth McGarry, Chris Bowerman:
Automated trend analysis of proteomics data using an intelligent data mining architecture. Expert Syst. Appl. 30(1): 24-33 (2006) - [j5]Chih-Fong Tsai, Kenneth McGarry, John Tait:
Qualitative evaluation of automatic assignment of keywords to images. Inf. Process. Manag. 42(1): 136-154 (2006) - [j4]James Malone, Kenneth McGarry, Stefan Wermter, Chris Bowerman:
Data mining using rule extraction from Kohonen self-organising maps. Neural Comput. Appl. 15(1): 9-17 (2006) - [j3]Chih-Fong Tsai, Kenneth McGarry, John Tait:
CLAIRE: A modular support vector image indexing and classification system. ACM Trans. Inf. Syst. 24(3): 353-379 (2006) - 2005
- [j2]Kenneth McGarry:
A survey of interestingness measures for knowledge discovery. Knowl. Eng. Rev. 20(1): 39-61 (2005) - [c6]Kenneth McGarry, Stefan Wermter:
Training without data: Knowledge Insertion into RBF Neural Networks. IJCAI 2005: 792-797 - [p1]Kenneth McGarry, Andrew Martin, Jonathan Francis Dale Addison:
Data Mining and User Profiling for an E-Commerce System. Classification and Clustering for Knowledge Discovery 2005: 175-189 - 2003
- [c5]Chih-Fong Tsai, Kenneth McGarry, John Tait:
Using neuro-fuzzy techniques based on a two-stage mapping model for concept-based image database indexing. ISMSE 2003: 6-12 - [c4]Chih-Fong Tsai, Kenneth McGarry, John Tait:
Image classification using hybrid neural networks. SIGIR 2003: 431-432 - 2002
- [b1]Kenneth J. McGarry:
Rule extraction and knowledge transfer from radial basis function neural networks. University of Sunderland, UK, 2002 - [c3]Kenneth McGarry, Andrew Martin, Jonathan Francis Dale Addison, John MacIntyre:
Data Mining and User Profiling for An E-Commerce System. FSKD 2002: 682- - 2001
- [j1]Kenneth McGarry, Stefan Wermter, John MacIntyre:
The Extraction and Comparison of Knowledge from Local Function Networks. Int. J. Comput. Intell. Appl. 1(4): 369-382 (2001) - [c2]Kenneth McGarry, Stefan Wermter, John MacIntyre:
Knowledge Extraction from Local Function Networks. IJCAI 2001: 765-770
1990 – 1999
- 1999
- [c1]Kenneth J. McGarry, Stefan Wermter, John MacIntyre:
Knowledge extraction from radial basis function networks and multilayer perceptrons. IJCNN 1999: 2494-2497
Coauthor Index
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