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John A. Keane
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- affiliation: University of Manchester, UK
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2020 – today
- 2024
- [j65]Dominic Duxbury, Norman W. Paton, John A. Keane:
Dynamic decision making for situational awareness using drones: Requirements, identification and comparison of decision support methods. Expert Syst. Appl. 252: 124057 (2024) - 2023
- [c101]Mercedes Argüello Casteleiro, Niamh Joyce, Nava Maroto, Maria Jesus Fernandez Prieto, Timothy Furmston, Diego Maseda-Fernandez, Phillip Lord, Chris Wroe, John A. Keane, Ying Cheong, Robert Stevens:
Text-based phenotyping with Semantic Deep Learning: setting up experiments for women's health. SWAT4HCLS 2023: 161-162 - 2022
- [j64]Edward Abel, Ixent Galpin, Norman W. Paton, John A. Keane:
Pairwise comparisons or constrained optimization? A usability evaluation of techniques for eliciting decision priorities. Int. Trans. Oper. Res. 29(5): 3190-3206 (2022) - [c100]Mercedes Argüello Casteleiro, Chloe Henson, Nava Maroto, Saihong Li, Julio Des-Diz, Maria Jesus Fernandez Prieto, Simon Peters, Timothy Furmston, Carlos Sevillano Torrado, Diego Maseda-Fernandez, Manoj Kulshrestha, John A. Keane, Robert Stevens, Chris Wroe:
MetaMap versus BERT Models with Explainable Active Learning: Ontology-Based Experiments with Prior Knowledge for COVID-19. SWAT4HCLS 2022: 108-117 - 2021
- [j63]Elizabeth Fons, Paula Dawson, Jeffrey Yau, Xiao-Jun Zeng, John A. Keane:
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing. Expert Syst. Appl. 163: 113720 (2021) - [j62]Martin Koehler, Edward Abel, Alex Bogatu, Cristina Civili, Lacramioara Mazilu, Nikolaos Konstantinou, Alvaro A. A. Fernandes, John A. Keane, Leonid Libkin, Norman W. Paton:
Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling. IEEE Trans. Big Data 7(1): 169-186 (2021) - [c99]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Augmenting Transferred Representations for Stock Classification. ICASSP 2021: 3915-3919 - [c98]Mercedes Argüello Casteleiro, Nava Maroto, Chris Wroe, Carlos Sevillano Torrado, Chloe Henson, Jose Julio Des Diz, Maria Jesus Fernandez Prieto, Thomas Furmston, Diego Maseda-Fernandez, Manoj Kulshrestha, Robert Stevens, John A. Keane, Simon Peters:
Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with Word2vec Embeddings and Transformer-Based BERT Models. SGAI Conf. 2021: 158-163 - [i5]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation. CoRR abs/2102.08310 (2021) - 2020
- [j61]Edward Abel, Julio César Cortés Ríos, Norman W. Paton, John A. Keane, Alvaro A. A. Fernandes:
Targeted evidence collection for uncertain supplier selection. Expert Syst. Appl. 159: 113583 (2020) - [j60]Sergio García-Vega, Xiao-Jun Zeng, John A. Keane:
Stock returns prediction using kernel adaptive filtering within a stock market interdependence approach. Expert Syst. Appl. 160: 113668 (2020) - [j59]Alistair G. Sutcliffe, Pete Sawyer, Gemma Stringer, Samuel Couth, Laura J. E. Brown, Ann Gledson, Christopher Bull, Paul Rayson, John A. Keane, Xiao-Jun Zeng, Iracema Leroi:
Known and unknown requirements in healthcare. Requir. Eng. 25(1): 1-20 (2020) - [i4]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Evaluating data augmentation for financial time series classification. CoRR abs/2010.15111 (2020)
2010 – 2019
- 2019
- [j58]Mercedes Argüello Casteleiro, Robert Stevens, Jose Julio Des Diz, Chris Wroe, Maria Jesus Fernandez Prieto, Nava Maroto, Diego Maseda-Fernandez, George Demetriou, Simon Peters, Peter-J. Noble, Phil H. Jones, Jo Dukes-McEwan, Alan D. Radford, John A. Keane, Goran Nenadic:
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes. J. Biomed. Semant. 10(1): 22:1-22:28 (2019) - [j57]Sergio García-Vega, Xiao-Jun Zeng, John A. Keane:
Learning from data streams using kernel least-mean-square with multiple kernel-sizes and adaptive step-size. Neurocomputing 339: 105-115 (2019) - [j56]Nikolaos Konstantinou, Edward Abel, Luigi Bellomarini, Alex Bogatu, Cristina Civili, Endri Irfanie, Martin Koehler, Lacramioara Mazilu, Emanuel Sallinger, Alvaro A. A. Fernandes, Georg Gottlob, John A. Keane, Norman W. Paton:
VADA: an architecture for end user informed data preparation. J. Big Data 6: 74 (2019) - [j55]Julio César Cortés Ríos, Norman W. Paton, Alvaro A. A. Fernandes, Edward Abel, John A. Keane:
Crowdsourced Targeted Feedback Collection for Multicriteria Data Source Selection. ACM J. Data Inf. Qual. 11(1): 2:1-2:27 (2019) - [c97]Adrian Stetco, Anees Mohammed, Sinisa Djurovic, Goran Nenadic, John A. Keane:
Wind Turbine operational state prediction: towards featureless, end-to-end predictive maintenance. IEEE BigData 2019: 4422-4430 - [c96]Dominic Duxbury, Norman W. Paton, John A. Keane:
Trusted and Auditable Decision Aids. EDBT/ICDT Workshops 2019 - [i3]Elizabeth Fons, Paula Dawson, Jeffrey Yau, Xiao-Jun Zeng, John A. Keane:
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing. CoRR abs/1902.10849 (2019) - 2018
- [j54]Mercedes Argüello Casteleiro, George Demetriou, Warren J. Read, Maria Jesus Fernandez Prieto, Nava Maroto, Diego Maseda-Fernandez, Goran Nenadic, Julie Klein, John A. Keane, Robert Stevens:
Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature. J. Biomed. Semant. 9(1): 13:1-13:24 (2018) - [j53]Edward Abel, Ludmil Mikhailov, John A. Keane:
Inconsistency reduction in decision making via multi-objective optimisation. Eur. J. Oper. Res. 267(1): 212-226 (2018) - [j52]Edward Abel, John A. Keane, Norman W. Paton, Alvaro A. A. Fernandes, Martin Koehler, Nikolaos Konstantinou, Julio César Cortés Ríos, Nurzety A. Azuan, Suzanne M. Embury:
User driven multi-criteria source selection. Inf. Sci. 430: 179-199 (2018) - [c95]Edward Abel, John A. Keane, Norman W. Paton, Alvaro A. A. Fernandes, Martin Koehler, Nikolaos Konstantinou, Nurzety A. Azuan, Suzanne M. Embury:
SOURCERY: User Driven Multi-Criteria Source Selection. CIKM 2018: 1947-1950 - [c94]Ann Gledson, Thamer Ba Dhafari, Norman W. Paton, John A. Keane:
A Smart City Dashboard for Combining and Analysing Multi-source Data Streams. HPCC/SmartCity/DSS 2018: 1366-1373 - [c93]Erhan Beyaz, Firat Tekiner, Xiao-Jun Zeng, John A. Keane:
Comparing Technical and Fundamental Indicators in Stock Price Forecasting. HPCC/SmartCity/DSS 2018: 1607-1613 - [c92]Erhan Beyaz, Firat Tekiner, Xiao-Jun Zeng, John A. Keane:
Stock Price Forecasting Incorporating Market State. HPCC/SmartCity/DSS 2018: 1614-1619 - [c91]Sebastian Flennerhag, Hujun Yin, John A. Keane, Mark J. Elliot:
Breaking the Activation Function Bottleneck through Adaptive Parameterization. NeurIPS 2018: 7750-7761 - [i2]Sebastian Flennerhag, Hujun Yin, John A. Keane, Mark J. Elliot:
Breaking the Activation Function Bottleneck through Adaptive Parameterization. CoRR abs/1805.08574 (2018) - [i1]Martin Koehler, Alex Bogatu, Cristina Civili, Nikolaos Konstantinou, Edward Abel, Alvaro A. A. Fernandes, John A. Keane, Leonid Libkin, Norman W. Paton:
Data Context Informed Data Wrangling. CoRR abs/1811.09248 (2018) - 2017
- [c90]Julio César Cortés Ríos, Norman W. Paton, Alvaro A. A. Fernandes, Edward Abel, John A. Keane:
Targeted Feedback Collection Applied to Multi-Criteria Source Selection. ADBIS 2017: 136-150 - [c89]Martin Koehler, Alex Bogatu, Cristina Civili, Nikolaos Konstantinou, Edward Abel, Alvaro A. A. Fernandes, John A. Keane, Leonid Libkin, Norman W. Paton:
Data context informed data wrangling. IEEE BigData 2017: 956-963 - [c88]Nikolaos Konstantinou, Martin Koehler, Edward Abel, Cristina Civili, Bernd Neumayr, Emanuel Sallinger, Alvaro A. A. Fernandes, Georg Gottlob, John A. Keane, Leonid Libkin, Norman W. Paton:
The VADA Architecture for Cost-Effective Data Wrangling. SIGMOD Conference 2017: 1599-1602 - [c87]Mercedes Argüello Casteleiro, Catalina Martínez-Costa, Jose Julio Des Diz, Maria Jesus Fernandez Prieto, Chris Wroe, Diego Maseda-Fernandez, George Demetriou, Goran Nenadic, John A. Keane, Stefan Schulz, Robert Stevens:
Experiments to Create Ontology-based Disease Models for Diabetic Retinopathy from Different Biomedical Resources. SWAT4LS 2017 - 2016
- [c86]Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane:
Towards Automatic Memory Tuning for In-Memory Big Data Analytics in Clusters. BigData Congress 2016: 353-356 - [c85]Ann Gledson, Dommy Asfiandy, Joseph Charles Mellor, Thamer Omer Faraj Ba-Dhfari, Gemma Stringer, Samuel Couth, Alistair Burns, Iracema Leroi, Xiao-Jun Zeng, John A. Keane, Christopher Bull, Paul Rayson, Alistair G. Sutcliffe, Peter Sawyer:
Combining Mouse and Keyboard Events with Higher Level Desktop Actions to Detect Mild Cognitive Impairment. ICHI 2016: 139-145 - [c84]Mercedes Argüello Casteleiro, George Demetriou, Warren J. Read, Maria Jesus Fernandez Prieto, Diego Maseda-Fernandez, Goran Nenadic, Julie Klein, John A. Keane, Robert Stevens:
Deep Learning meets Semantic Web: A feasibility study with the Cardiovascular Disease Ontology and PubMed citations. ODLS 2016: 1-6 - [c83]Mercedes Argüello Casteleiro, Maria Jesus Fernandez Prieto, George Demetriou, Nava Maroto, Warren J. Read, Diego Maseda-Fernandez, Jose Julio Des Diz, Goran Nenadic, John A. Keane, Robert Stevens:
Ontology Learning with Deep Learning: a Case Study on Patient Safety Using PubMed. SWAT4LS 2016 - 2015
- [j51]Sajid Siraj, Ludmil Mikhailov, John A. Keane:
Contribution of individual judgments toward inconsistency in pairwise comparisons. Eur. J. Oper. Res. 242(2): 557-567 (2015) - [j50]Adrian Stetco, Xiao-Jun Zeng, John A. Keane:
Fuzzy C-means++: Fuzzy C-means with effective seeding initialization. Expert Syst. Appl. 42(21): 7541-7548 (2015) - [j49]Edward Abel, Ludmil Mikhailov, John A. Keane:
Group aggregation of pairwise comparisons using multi-objective optimization. Inf. Sci. 322: 257-275 (2015) - [j48]Sajid Siraj, Ludmil Mikhailov, John A. Keane:
PriEsT: an interactive decision support tool to estimate priorities from pairwise comparison judgments. Int. Trans. Oper. Res. 22(2): 217-235 (2015) - [j47]George Karystianis, Azad Dehghan, Aleksandar Kovacevic, John A. Keane, Goran Nenadic:
Using local lexicalized rules to identify heart disease risk factors in clinical notes. J. Biomed. Informatics 58: S183-S188 (2015) - [j46]Azad Dehghan, Aleksandar Kovacevic, George Karystianis, John A. Keane, Goran Nenadic:
Combining knowledge- and data-driven methods for de-identification of clinical narratives. J. Biomed. Informatics 58: S53-S59 (2015) - [c82]Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane:
A Parallel Distributed Weka Framework for Big Data Mining Using Spark. BigData Congress 2015: 9-16 - 2014
- [j45]Maybin K. Muyeba, Keeley A. Crockett, Wenjia Wang, John A. Keane:
A hybrid heuristic approach for attribute-oriented mining. Decis. Support Syst. 57: 139-149 (2014) - [j44]Irena Spasic, Jacqueline Livsey, John A. Keane, Goran Nenadic:
Text mining of cancer-related information: Review of current status and future directions. Int. J. Medical Informatics 83(9): 605-623 (2014) - [c81]Edward Abel, Ludmil Mikhailov, John A. Keane:
Clustering Decision Makers with respect to similarity of views. MCDM 2014: 40-47 - 2013
- [j43]Di Wang, Xiao-Jun Zeng, John A. Keane:
A simplified structure evolving method for Mamdani fuzzy system identification and its application to high-dimensional problems. Inf. Sci. 220: 110-123 (2013) - [j42]Aleksandar Kovacevic, Azad Dehghan, Michele Filannino, John A. Keane, Goran Nenadic:
Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives. J. Am. Medical Informatics Assoc. 20(5): 859-866 (2013) - [c80]Wong Liyen, Maybin K. Muyeba, John A. Keane, Zhiguo Gong, Valerie Edwards-Jones:
Classifying Mass Spectral Data Using SVM and Wavelet-Based Feature Extraction. AMT 2013: 413-422 - [c79]Oya Deniz Beyan, Aftab Iqbal, Yasar Khan, Athos Antoniades, John A. Keane, Panagiotis Hasapis, Christos Georgousopoulos, Myrto Ioannidi, Stefan Decker, Ratnesh Sahay:
Querying phenotype-genotype associations across multiple knowledge bases using Semantic Web technologies. BIBE 2013: 1-5 - [c78]Sajid Siraj, Renzo C. B. Leonelli, John A. Keane, Ludmil Mikhailov:
Priest: A Tool to Estimate Priorities from Inconsistent Judgments. SMC 2013: 44-49 - [c77]Edward Abel, Ludmil Mikhailov, John A. Keane:
Reducing Inconsistency in Pairwise Comparisons Using Multi-objective Evolutionary Computing. SMC 2013: 80-85 - [c76]Adrian Stetco, Xiao-Jun Zeng, John A. Keane:
Fuzzy Cluster Analysis of Financial Time Series and Their Volatility Assessment. SMC 2013: 91-96 - [c75]Azad Dehghan, John A. Keane, Goran Nenadic:
Challenges in Clinical Named Entity Recognition for Decision Support. SMC 2013: 947-951 - [c74]Firat Tekiner, John A. Keane:
Big Data Framework. SMC 2013: 1494-1499 - [c73]David Tian, Ann Gledson, Athos Antoniades, Aristos Aristodimou, Dimitrios Ntalaperas, Ratnesh Sahay, Jianxin Pan, Stavros Stivaros, Goran Nenadic, Xiao-Jun Zeng, John A. Keane:
A Bayesian Association Rule Mining Algorithm. SMC 2013: 3258-3264 - [c72]Maybin K. Muyeba, Sandra Lewis, Liangxiu Han, John A. Keane:
Understanding Low Back Pain Using Fuzzy Association Rule Mining. SMC 2013: 3265-3270 - 2012
- [j41]Sajid Siraj, Ludmil Mikhailov, John A. Keane:
Enumerating all spanning trees for pairwise comparisons. Comput. Oper. Res. 39(2): 191-199 (2012) - [j40]Sajid Siraj, Ludmil Mikhailov, John A. Keane:
Corrigendum to "Enumerating all spanning trees for pairwise comparisons" [Computers & OR 39 (2012) 191-199]. Comput. Oper. Res. 39(9): 2265 (2012) - [j39]Sajid Siraj, Ludmil Mikhailov, John A. Keane:
A heuristic method to rectify intransitive judgments in pairwise comparison matrices. Eur. J. Oper. Res. 216(2): 420-428 (2012) - [j38]Sajid Siraj, Ludmil Mikhailov, John A. Keane:
Preference elicitation from inconsistent judgments using multi-objective optimization. Eur. J. Oper. Res. 220(2): 461-471 (2012) - [j37]Gang Leng, Xiao-Jun Zeng, John A. Keane:
An improved approach of self-organising fuzzy neural network based on similarity measures. Evol. Syst. 3(1): 19-30 (2012) - [j36]Di Wang, Xiao-Jun Zeng, John A. Keane:
A clustering algorithm for radial basis function neural network initialization. Neurocomputing 77(1): 144-155 (2012) - [c71]Athos Antoniades, John A. Keane, Aristos Aristodimou, Christa Philipou, Andreas Constantinou, Christos Georgousopoulos, Federica Tozzi, Kyriacos C. Kyriacou, Andreas Hadjisavvas, Maria Loizidou, Christiana Demetriou, Constantinos S. Pattichis:
The effects of applying cell-suppression and perturbation to aggregated genetic data. BIBE 2012: 644-649 - [c70]Di Wang, Xiao-Jun Zeng, John A. Keane:
A structure learning method for concise fuzzy systems. FUZZ-IEEE 2012: 1-8 - [c69]Jianqing Wang, Min Wang, Hong Qiao, John A. Keane:
Oriented Gradient Context for pedestrian detection. ICARCV 2012: 1142-1147 - [c68]Nurul Fariza Zulkurnain, David J. Haglin, John A. Keane:
DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree. PAKDD Workshops 2012: 141-156 - 2011
- [j35]David Tian, Xiao-Jun Zeng, John A. Keane:
Core-generating approximate minimum entropy discretization for rough set feature selection in pattern classification. Int. J. Approx. Reason. 52(6): 863-880 (2011) - [j34]Boris Goldengorin, John A. Keane, Viktor Kuzmenko, Michael Tso:
Optimal supplier choice with discounting. J. Oper. Res. Soc. 62(4): 690-699 (2011) - [j33]Di Wang, Xiao-Jun Zeng, John A. Keane:
An Output-Constrained Clustering Approach for the Identification of Fuzzy Systems and Fuzzy Granular Systems. IEEE Trans. Fuzzy Syst. 19(6): 1127-1140 (2011) - [j32]David Tian, Xiao-Jun Zeng, John A. Keane:
Core-Generating Discretization for Rough Set Feature Selection. Trans. Rough Sets 13: 135-158 (2011) - [c67]Di Wang, Xiao-Jun Zeng, John A. Keane:
A Simplified Structure Evolving Method for Fuzzy System structure learning. EAIS 2011: 46-53 - [c66]Maybin K. Muyeba, Muhammad S. Khan, Spits Warnars, John A. Keane:
A Framework to Mine High-Level Emerging Patterns by Attribute-Oriented Induction. IDEAL 2011: 170-177 - [c65]Paul Thompson, Yoshinobu Kano, John McNaught, Steve Pettifer, Teresa K. Attwood, John A. Keane, Sophia Ananiadou:
Promoting Interoperability of Resources in META-SHARE. Workshop on Language Resources@IJCNLP 2011: 50-58 - [c64]Maybin K. Muyeba, Keeley A. Crockett, John A. Keane:
A Hybrid Interestingness Heuristic Approach for Attribute-Oriented Mining. KES-AMSTA 2011: 414-424 - 2010
- [j31]Di Wang, Xiao-Jun Zeng, John A. Keane:
A structure evolving learning method for fuzzy systems. Evol. Syst. 1(2): 83-95 (2010) - [j30]Irena Spasic, Farzaneh Sarafraz, John A. Keane, Goran Nenadic:
Medication information extraction with linguistic pattern matching and semantic rules. J. Am. Medical Informatics Assoc. 17(5): 532-535 (2010) - [j29]Di Wang, Xiao-Jun Zeng, John A. Keane:
An Evolving-Construction Scheme for Fuzzy Systems. IEEE Trans. Fuzzy Syst. 18(4): 755-770 (2010)
2000 – 2009
- 2009
- [j28]Gang Leng, Xiao-Jun Zeng, John A. Keane:
A hybrid learning algorithm with a similarity-based pruning strategy for self-adaptive neuro-fuzzy systems. Appl. Soft Comput. 9(4): 1354-1366 (2009) - [j27]David J. Haglin, Kenneth R. Mayes, Anna M. Manning, John Feo, John R. Gurd, Mark J. Elliot, John A. Keane:
Factors affecting the performance of parallel mining of minimal unique itemsets on diverse architectures. Concurr. Comput. Pract. Exp. 21(9): 1131-1158 (2009) - [j26]Siyamand Ayubi, Maybin K. Muyeba, Ahmad Baraani-Dastjerdi, John A. Keane:
An algorithm to mine general association rules from tabular data. Inf. Sci. 179(20): 3520-3539 (2009) - [j25]Shaoyan Zhang, Christos Tjortjis, Xiao-Jun Zeng, Hong Qiao, Iain E. Buchan, John A. Keane:
Comparing data mining methods with logistic regression in childhood obesity prediction. Inf. Syst. Frontiers 11(4): 449-460 (2009) - [j24]Hui Yang, Irena Spasic, John A. Keane, Goran Nenadic:
Research Paper: A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries. J. Am. Medical Informatics Assoc. 16(4): 596-600 (2009) - [j23]Hui Yang, John A. Keane, Casey M. Bergman, Goran Nenadic:
Assigning roles to protein mentions: The case of transcription factors. J. Biomed. Informatics 42(5): 887-894 (2009) - [j22]Di Wang, Xiao-Jun Zeng, John A. Keane:
Intermediate Variable Normalization for Gradient Descent Learning for Hierarchical Fuzzy System. IEEE Trans. Fuzzy Syst. 17(2): 468-476 (2009) - 2008
- [j21]Hui Yang, Goran Nenadic, John A. Keane:
Identification of transcription factor contexts in literature using machine learning approaches. BMC Bioinform. 9(S-3) (2008) - [j20]Anna M. Manning, David J. Haglin, John A. Keane:
A recursive search algorithm for statistical disclosure assessment. Data Min. Knowl. Discov. 16(2): 165-196 (2008) - [j19]John A. Keane, Hujun Yin, Victor J. Rayward-Smith:
Special Issue Arising from the IDEAL 2007 Conference. J. Math. Model. Algorithms 7(4): 327-328 (2008) - [j18]Xiao-Jun Zeng, John Yannis Goulermas, Panos Liatsis, Di Wang, John A. Keane:
Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application. IEEE Trans. Fuzzy Syst. 16(5): 1197-1215 (2008) - [j17]Xianbin Cao, Hong Qiao, John A. Keane:
A Low-Cost Pedestrian-Detection System With a Single Optical Camera. IEEE Trans. Intell. Transp. Syst. 9(1): 58-67 (2008) - [c63]Paraskevas Yiapanis, David J. Haglin, Anna M. Manning, Ken Mayes, John A. Keane:
Variable-grain and dynamic work generation for Minimal Unique Itemset mining. CLUSTER 2008: 33-41 - [c62]Ann Gledson, John A. Keane:
Measuring Topic Homogeneity and its Application to Dictionary-Based Word Sense Disambiguation. COLING 2008: 273-280 - [c61]Ann Gledson, John A. Keane:
Using Web-Search Results to Measure Word-Group Similarity. COLING 2008: 281-288 - [c60]Di Wang, Xiao-Jun Zeng, John A. Keane:
An incremental construction learning algorithm for identification of T-S Fuzzy Systems. FUZZ-IEEE 2008: 1660-1666 - 2007
- [j16]Michael Rigby, David Budgen, Mark Turner, Ioannis Kotsiopoulos, Pearl Brereton, John A. Keane, Keith H. Bennett, Michelle Russell, Paul J. Layzell, Fujun Zhu:
A data-gathering broker as a future-orientated approach to supporting EPR users. Int. J. Medical Informatics 76(2-3): 137-144 (2007) - [j15]Di Wang, Xiao-Jun Zeng, John A. Keane:
Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables. Neurocomputing 70(16-18): 3019-3033 (2007) - [c59]Boris Goldengorin, John A. Keane, Viktor Kuzmenko, Michael Tso:
Optimal Order Allocation with Discount Pricing. AAIM 2007: 273-284 - [c58]Huina Mao, Xiao-Jun Zeng, Gang Leng, Yongjie Zhai, John A. Keane:
Short-Term Load Forecasting Based On Self-Organizing Fuzzy Neural Networks. FUZZ-IEEE 2007: 1-6 - [c57]David Tian, John A. Keane, Xiao-Jun Zeng:
Core-generating Approximate Minimum Entropy Discretization for Rough Set Feature Selection: An Experimental Investigation. FUZZ-IEEE 2007: 1-6 - [c56]Di Wang, Xiao-Jun Zeng, John A. Keane:
An Input-Output Clustering Method for Fuzzy System Identification. FUZZ-IEEE 2007: 1-6 - [c55]Siyamand Ayubi, Maybin K. Muyeba, John A. Keane:
An Algorithm to Mine General Association Rules from Tabular Data. IDEAL 2007: 705-717 - 2006
- [j14]Fujun Zhu, Mark Turner, Ioannis Kotsiopoulos, Keith H. Bennett, Michelle Russell, David Budgen, Pearl Brereton, John A. Keane, Paul J. Layzell, Michael Rigby, Jie Xu:
Dynamic data integration: a service-based broker approach. Int. J. Bus. Process. Integr. Manag. 1(3): 175-191 (2006) - [j13]Xiao-Jun Zeng, John A. Keane:
Approximation capabilities of hierarchical hybrid systems. IEEE Trans. Syst. Man Cybern. Part A 36(5): 1029-1039 (2006) - [c54]Di Wang, Xiao-Jun Zeng, John A. Keane:
Learning for Hierarchical Fuzzy Systems Based on the Gradient-Descent Method. FUZZ-IEEE 2006: 92-99 - [c53]Xiao-Jun Zeng, John A. Keane, Di Wang:
Fuzzy Systems Approach to Approximation and Stabilization of Conventional Affine Nonlinear Systems. FUZZ-IEEE 2006: 277-284 - [c52]David Tian, John A. Keane, Xiao-Jun Zeng:
Evaluating the effect of rough set feature selection on the performance of decision trees. GrC 2006: 57-62 - [c51]Xiao-Jun Zeng, John A. Keane:
A granular computing view on function approximation. GrC 2006: 232-237 - [c50]Liang Chang, Hong Qiao, Anhua Wan, John A. Keane:
An Improved Gilbert Algorithm with Rapid Convergence. IROS 2006: 3861-3866 - [c49]Srisupa Palakvangsa-Na-Ayudhya, John A. Keane:
Proximity within paragraph: a measure to enhance eocument retrieval performance. WWW 2006: 1033-1034 - 2005
- [j12]Xiao-Jun Zeng, John A. Keane:
Approximation Capabilities of Hierarchical Fuzzy Systems. IEEE Trans. Fuzzy Syst. 13(5): 659-672 (2005) - [c48]Xiao-Jun Zeng, John A. Keane:
Separable Approximation Property of Hierarchical Fuzzy Systems. FUZZ-IEEE 2005: 951-956 - [c47]David Budgen, Mark Turner, Ioannis Kotsiopoulos, Fujun Zhu, Michelle Russell, Michael Rigby, Keith H. Bennett, Pearl Brereton, John A. Keane, Paul J. Layzell:
Managing Healthcare Information: The Role of the Broker. HealthGrid 2005: 3-16 - [c46]Michael Rigby, David Budgen, Pearl Brereton, Keith H. Bennett, Michelle Russell, Mark Turner, Ioannis Kotsiopoulos, Paul J. Layzell, John A. Keane, Fujun Zhu:
The Data-Gathering Broker - A User-Based Approach to Viable EPR Systems. MIE 2005: 905-910 - 2004
- [c45]Xiao-Jun Zeng, John A. Keane:
Approximation capability analysis of hierarchical Takagi-Sugeno fuzzy systems. FUZZ-IEEE 2004: 1227-1232 - [c44]Mark Turner, Fujun Zhu, Ioannis Kotsiopoulos, Michelle Russell, David Budgen, Keith H. Bennett, Pearl Brereton, John A. Keane, Paul J. Layzell, Michael Rigby:
Using Web Service Technologies to Create an Information Broker: An Experience Report. ICSE 2004: 552-561 - [c43]Fujun Zhu, Mark Turner, Ioannis Kotsiopoulos, Keith H. Bennett, Michelle Russell, David Budgen, Pearl Brereton, John A. Keane, Paul J. Layzell, Michael Rigby, Jie Xu:
Dynamic Data Integration Using Web Services. ICWS 2004: 262-269 - [c42]Hong Qiao, Shaoyan Zhang, Bo Zhang, John A. Keane:
Face recognition using SVM decomposition methods. IROS 2004: 2015-2020 - 2003
- [c41]Ioannis Kotsiopoulos, John A. Keane, Mark Turner, Paul J. Layzell, Fujun Zhu:
IBHIS: Integration Broker for Heterogeneous Information Sources. COMPSAC 2003: 378-384 - [c40]Keith H. Bennett, Nicolas Gold, Paul J. Layzell, Fujun Zhu, Pearl Brereton, David Budgen, John A. Keane, Ioannis Kotsiopoulos, Mark Turner, Jie Xu, Orouba Almilaji, Jung-Ching Chen, Ali Owrak:
A Broker Architecture for Integrating Data Using a Web Services Environment. ICSOC 2003: 409-422 - 2002
- [j11]John A. Keane, T. A. Ward:
A computational framework for location analysis. IEEE Trans. Syst. Man Cybern. Part A 32(5): 574-581 (2002) - [c39]Christos Tjortjis, John A. Keane:
T3: A Classification Algorithm for Data Mining. IDEAL 2002: 50-55 - [c38]Xinfeng Ye, John A. Keane, Guoqing Zhang:
Transactional Multiple Agents. IDEAL 2002: 237-242 - [c37]Paul Parkins, John A. Keane:
Alpha-Beta Search Revisited. IDEAL 2002: 582-587 - [e3]Hujun Yin, Nigel M. Allinson, Richard T. Freeman, John A. Keane, Simon J. Hubbard:
Intelligent Data Engineering and Automated Learning - IDEAL 2002, Third International Conference, Manchester, UK, August 12-14, Proceedings. Lecture Notes in Computer Science 2412, Springer 2002, ISBN 3-540-44025-9 [contents] - 2001
- [c36]Anna M. Manning, John A. Keane:
Data Allocation Algorithm for Parallel Association Rule Discovery. PAKDD 2001: 413-420 - [e2]Rizos Sakellariou, John A. Keane, John R. Gurd, Len Freeman:
Euro-Par 2001: Parallel Processing, 7th International Euro-Par Conference Manchester, UK August 28-31, 2001, Proceedings. Lecture Notes in Computer Science 2150, Springer 2001, ISBN 3-540-42495-4 [contents] - 2000
- [c35]Maybin K. Muyeba, John A. Keane:
Distributed data mining: an attribute-oriented key-preserving method. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 163-172 - [c34]John A. Keane, Walter Hussak:
A Method of Verification in Design. HICSS 2000 - [c33]Maybin K. Muyeba, John A. Keane:
A Concurrent Approach to the Key-Preserving Attribute-Oriented Induction Method. PAKDD 2000: 306-316 - [c32]Maybin K. Muyeba, John A. Keane:
Interestingness in Attribute-Oriented Induction (AOI): Multiple-Level Rule Generation. PKDD 2000: 542-549
1990 – 1999
- 1999
- [j10]John A. Keane:
A co-ordination framework for distributed financial applications. Concurr. Pract. Exp. 11(4): 205-219 (1999) - [j9]Walter Hussak, John A. Keane:
Formal Analysis of Memory Requirements. Requir. Eng. 4(4): 188-197 (1999) - [j8]John A. Keane, Walter Hussak:
A Design Phase Directed Formal Verification Process. Softw. Qual. J. 8(4): 255-269 (1999) - [c31]S. Fotis, John A. Keane, R. I. Scott:
Parallel Data Mining in the HYPERBANK Project. Euro-Par 1999: 1195-1198 - [c30]Anna M. Manning, John A. Keane:
Inducing Load Balancing and Efficient Data Distribution Prior to Association Rule Discovery in a Parallel Environment. Euro-Par 1999: 1460-1463 - [c29]Maybin K. Muyeba, John A. Keane:
Extending Attribute-Oriented Induction as a Key-Preserving Data Mining Method. PKDD 1999: 448-455 - 1998
- [c28]R. I. Scott, Michael Fisher, John A. Keane:
Parallel Temporal Tableaux. Euro-Par 1998: 852-861 - [c27]Xinfeng Ye, John A. Keane:
Processing temporal aggregates over networked workstations. SMC 1998: 2513-2518 - [c26]Xinfeng Ye, John A. Keane:
Mining association rules in temporal databases. SMC 1998: 2803-2808 - 1997
- [c25]John A. Keane, Ian Watson, L. Zuo:
Dynamic Load Balancing in a Variable-Grained Parallel Computational Model. Euro-PDS 1997: 131-136 - [c24]Xinfeng Ye, John A. Keane:
Collecting Cyclic Garbage in Distributed Systems. ISPAN 1997: 227-231 - [c23]Anna M. Manning, Andy Brass, Carole A. Goble, John A. Keane:
Clustering Techniques in Biological Sequence Analysis. PKDD 1997: 315-322 - [c22]John A. Keane:
High Performance Banking. RIDE 1997: 66-69 - 1996
- [j7]John A. Keane:
Parallel systems in financial information processing. Concurr. Pract. Exp. 8(10): 757-768 (1996) - [j6]Walter Hussak, John A. Keane:
Expressing Requirements on a Parallel System Formally. Requir. Eng. 1(4): 199-209 (1996) - [j5]John A. Keane, Ian Watson, Xinfeng Ye:
Locality issues in a fine-grained parallel machine. Simul. Pract. Theory 4(2-3): 67-80 (1996) - [c21]John A. Keane, Andrew J. Grant:
Identifying parallelism in pattern matching. EUROSIM 1996: 119-126 - [c20]John A. Keane, Xinfeng Ye:
A fault tolerant model for a parallel database system. EUROSIM 1996: 127-134 - [c19]John A. Keane, Ming Q. Xu:
Supporting a parallel functional language computational model. EUROSIM 1996: 135-140 - [c18]Xinfeng Ye, John A. Keane:
Concurrent checkpointing and rollback recovery for distributed systems. EUROSIM 1996: 211-218 - [c17]Xinfeng Ye, John A. Keane:
Delivering multicast message to mobile hosts. EUROSIM 1996: 353-360 - [c16]Xinfeng Ye, John A. Keane:
A concurrent hierarchical approach to global snapshots. EUROSIM 1996: 389-396 - 1995
- [j4]John A. Keane, Andrew J. Grant, Ming Q. Xu:
Comparing distributed memory and virtual shared memory parallel programming models. Future Gener. Comput. Syst. 11(2): 233-243 (1995) - [c15]Xinfeng Ye, John A. Keane:
Detecting Distributed Termination in the Presence of Node Failure. ASIAN 1995: 195-209 - [c14]Walter Hussak, John A. Keane:
Concurrency Control of Tiered Flat Transactions. BNCOD 1995: 172-182 - [c13]John A. Keane, T. N. Franklin, R. Dipper, Andrew J. Grant, R. Sumner, Ming Q. Xu:
Benchmarking financial database queries on a parallel machine. HICSS (2) 1995: 402-411 - [c12]John A. Keane, Xinfeng Ye:
A Parallel Termination Detection Algorithm. Parallel and Distributed Computing and Systems 1995: 147-150 - [c11]Michael Fisher, Robert Johnson, John A. Keane:
Graph Structure Management in Parallel Symbolic Systems. Parallel and Distributed Computing and Systems 1995: 210-215 - [e1]Carole A. Goble, John A. Keane:
Advances in Databases, 13th British National Conference on Databases, BNCOD 13, Manchester, United Kingdom, July 12-14, 1995, Proceedings. Lecture Notes in Computer Science 940, Springer 1995, ISBN 3-540-60100-7 [contents] - 1994
- [j3]John A. Keane:
An Overview of the Flagship System. J. Funct. Program. 4(1): 19-45 (1994) - [c10]John A. Keane, Xinfeng Ye:
Parallelisation as Adaptive and Preventive Maintenance. Applied Informatics 1994: 302-305 - [c9]John A. Keane, Ian Watson:
Increasing Locality in a Fine-Grained Parallel Machine. EUROSIM 1994: 179-186 - [c8]John A. Keane, Jin Sa, Brian Warboys:
Applying a Concurrent Formal Framework to Process Modelling. FME 1994: 291-305 - [c7]John A. Keane, Walter Hussak:
A Formal Approach to Determining Parallel Resource Bindings: Experience Report. ICSE 1994: 15-22 - [c6]Xinfeng Ye, John A. Keane:
A Fault Tolerant Distributed Termination Detection Scheme. IFIP Congress (1) 1994: 300-305 - 1993
- [j2]Kenneth R. Mayes, John A. Keane:
Levels of atomic action in the Flagship parallel system. Concurr. Pract. Exp. 5(3): 193-212 (1993) - [j1]John A. Keane:
Parallelising a financial system. Future Gener. Comput. Syst. 9(1): 41-51 (1993) - [c5]Walter Hussak, John A. Keane:
Representation of Coherency Classes for Parallel Systems. SPDP 1993: 391-399 - 1992
- [c4]John A. Keane, Walter Hussak:
The use of formal methods in parallel operating systems. COMPSAC 1992: 245-250 - [c3]John A. Keane, Kenneth R. Mayes:
Resource Management on a Packet-Based Parallel Graph Reduction Machine. CONPAR 1992: 417-422 - [c2]Xinfeng Ye, John A. Keane:
Token Scheme: An Algorithm for Distributed Termination Detection and Its Proof of Correctness. IFIP Congress (1) 1992: 357-364 - 1990
- [c1]Xinfeng Ye, Brian Warboys, John A. Keane:
Specification and proof of a distributed recovery algorithm. FTCS 1990: 307-314
Coauthor Index
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