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Research Output 1988 2020

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47 Citations (Scopus)

Accurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features

Liu, Y., Wang, M., Wang, H., Tan, H., Zhang, Z., Webb, G. I. & Song, J., 2014, In : Scientific Reports. 4, (Art. No.: 5765), p. 1 - 12 12 p.

Research output: Contribution to journalArticleResearchpeer-review

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6 Citations (Scopus)

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes

Petitjean, F., Buntine, W., Webb, G. I. & Zaidi, N., Sep 2018, In : Machine Learning. 107, 8-10, p. 1303-1331 29 p.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Adaptive online extreme learning machine by regulating forgetting factor by concept drift map

Yu, H. & Webb, G. I., 28 May 2019, In : Neurocomputing. p. 141-153 13 p.

Research output: Contribution to journalArticleResearchpeer-review

A data scientist's guide to start-ups

Provost, F., Webb, G. I. B., Bekkerman, R., Etzioni, O., Fayyad, U. & Perlich, C., 2014, In : Big Data. 2, 3, p. 117 - 128 12 p.

Research output: Contribution to journalArticleOther

6 Citations (Scopus)

A knowledge-based approach to computer-aided learning

Webb, G. I., 1 Jan 1988, In : International Journal of Man-Machine Studies. 29, 3, p. 257-285 29 p.

Research output: Contribution to journalArticleResearchpeer-review

90 Citations (Scopus)

Alleviating Naive Bayes attribute independence assumption by attribute weighting

Zaidi, N. A., Cerquides, J., Carman, M. J. & Webb, G. I., 2013, In : Journal of Machine Learning Research. 14, Jul, p. 1947 - 1988 42 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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10 Citations (Scopus)

ALRn: Accelerated higher-order logistic regression

Zaidi, N. A., Webb, G. I., Carman, M. J., Petitjean, F. & Cerquides, J., 1 Sep 2016, In : Machine Learning. 104, 2-3, p. 151-194 44 p.

Research output: Contribution to journalArticleResearchpeer-review

8 Citations (Scopus)

Analyzing concept drift and shift from sample data

Webb, G. I., Lee, L. K., Goethals, B. & Petitjean, F., Sep 2018, In : Data Mining and Knowledge Discovery. 32, 5, p. 1179-1199 21 p.

Research output: Contribution to journalArticleResearchpeer-review

A novel selective naïve Bayes algorithm

Chen, S., Webb, G. I., Liu, L. & Ma, X., 16 Dec 2019, (Accepted/In press) In : Knowledge-Based Systems. 12 p., 105361.

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Anytime classification for a pool of instances

Hui, B., Yang, Y. & Webb, G., 2009, In : Machine Learning. 77, 1, p. 61 - 102 42 p.

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Application of machine learning to a renal biopsy database

Agar, J. W. M. & Webb, G. I., 1 Jan 1992, In : Nephrology Dialysis Transplantation. 7, 6, p. 472-478 7 p.

Research output: Contribution to journalArticleResearchpeer-review

22 Citations (Scopus)

Bioinformatic approaches for predicting substrates of proteases

Song, J., Tan, H., Boyd, S. E., Shen, H., Mahmood, K., Webb, G., Akutsu, T., Whisstock, J. & Pike, R., 2011, In : Journal of Bioinformatics and Computational Biology. 9, 1, p. 149 - 178 30 p.

Research output: Contribution to journalArticleResearchpeer-review

9 Citations (Scopus)

Candidate Elimination Criteria for Lazy Bayesian Rules

Webb, G. I., 2001, In : Lecture Notes in Computer Science. 2256, p. 545 - 556 12 p.

Research output: Contribution to journalArticleResearchpeer-review

108 Citations (Scopus)

Cascleave: towards more accurate prediction of caspase substrate cleavage sites

Song, J., Tan, H., Shen, H., Mahmood, K., Boyd, S. E., Webb, G., Akutsu, T. & Whisstock, J., 2010, In : Bioinformatics. 26, 6, p. 752 - 760 9 p.

Research output: Contribution to journalArticleResearchpeer-review

68 Citations (Scopus)

Characterizing concept drift

Webb, G. I., Hyde, R., Cao, H., Nguyen, H-L. & Petitjean, F., 1 Jul 2016, In : Data Mining and Knowledge Discovery. 30, 4, p. 964-994 31 p.

Research output: Contribution to journalArticleResearchpeer-review

23 Citations (Scopus)

Classifying under computational resource constraints: anytime classification using probabilistic estimators

Yang, Y., Webb, G., Korb, K. B. & Ting, K. M., 2007, In : Machine Learning. 69, 1, p. 35 - 53 19 p.

Research output: Contribution to journalArticleResearchpeer-review

16 Citations (Scopus)

Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI

An, Y., Wang, J., Li, C., Leier, A., Marquez-Lago, T., Wilksch, J., Zhang, Y., Webb, G. I., Song, J. & Lithgow, T., 1 Jan 2018, In : Briefings in Bioinformatics. 19, 1, p. 148-161 14 p., bbw100.

Research output: Contribution to journalArticleResearchpeer-review

Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences

Chen, Z., Zhao, P., Li, F., Wang, Y., Smith, A. I., Webb, G. I., Akutsu, T., Baggag, A., Bensmail, H. & Song, J., 11 Nov 2019, (Accepted/In press) In : Briefings in Bioinformatics. 21 p., bbz112.

Research output: Contribution to journalArticleResearchpeer-review

Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework

Zhang, Y., Xie, R., Wang, J., Leier, A., Marquez-Lago, T. T., Akutsu, T., Webb, G. I., Chou, K-C. & Song, J., Nov 2019, In : Briefings in Bioinformatics. 20, 6, p. 2185-2199 15 p.

Research output: Contribution to journalArticleResearchpeer-review

Courseware abstraction: reducing development costs while producing qualitative improvements in CAL

Webb, G. I., 1 Jan 1989, In : Journal of Computer Assisted Learning. 5, 2, p. 103-113 11 p.

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity

Wang, H., Feng, L., Webb, G. I., Kurgan, L., Song, J. & Lin, D., 28 Sep 2018, In : Briefings in Bioinformatics. 19, 5, p. 838-852 15 p.

Research output: Contribution to journalArticleResearchpeer-review

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18 Citations (Scopus)

Crysalis: An integrated server for computational analysis and design of protein crystallization

Wang, H., Feng, L., Zhang, Z., Webb, G. I., Lin, D. & Song, J., 24 Feb 2016, In : Scientific Reports. 6, 14 p., 21383.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites

Li, F., Chen, J., Leier, A., Marquez-Lago, T., Liu, Q., Wang, Y., Revote, J., Smith, A. I., Akutsu, T., Webb, G. I., Kurgan, L. & Song, J., 30 Sep 2019, (Accepted/In press) In : Bioinformatics. 9 p., btz721.

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis

Bergmeir, C., Bilgrami, I., Bain, C., Webb, G. I., Orosz, J. & Pilcher, D., 1 Dec 2017, In : PLoS ONE. 12, 12, 13 p., e0188688.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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159 Citations (Scopus)

Discovering significant patterns

Webb, G., 2007, In : Machine Learning. 68, 1, p. 1 - 33 33 p.

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Discovery of amino acid motifs for thrombin cleavage and validation using a model substrate

Ng, N., Pierce, M. J., Webb, G., Ratnikov, B., Wijeyewickrema, L. C., Duncan, R., Robertson, A. L., Bottomley, S. P., Boyd, S. E. & Pike, R. N., 2011, In : Biochemistry. 50, 48, p. 10499 - 10507 9 p.

Research output: Contribution to journalArticleResearchpeer-review

117 Citations (Scopus)

Discretization for naive-Bayes learning: Managing discretization bias and variance

Yang, Y. & Webb, G., 2009, In : Machine Learning. 74, 1, p. 39 - 74 36 p.

Research output: Contribution to journalArticleResearchpeer-review

19 Citations (Scopus)

Efficient discovery of the most interesting associations

Webb, G. I. B. & Vreeken, J., 2014, In : ACM Transactions on Knowledge Discovery from Data. 8, 3, p. 1 - 31 31 p.

Research output: Contribution to journalArticleResearchpeer-review

16 Citations (Scopus)

Efficient large-scale protein sequence comparison and gene matching to identify orthologs and co-orthologs

Mahmood, K., Webb, G. I., Song, J., Whisstock, J. C. & Konagurthu, A. S., 2012, In : Nucleic Acids Research. 40, 6 (Art. ID: e44), p. 1 - 11 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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5 Citations (Scopus)

Efficient parameter learning of Bayesian network classifiers

Zaidi, N. A., Webb, G. I., Carman, M., Petitjean, F., Buntine, W., Hynes, M. & De Sterck, H., 2017, In : Machine Learning. 106, 9-10, p. 1289-1329 41 p.

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

EGM: Encapsulated gene-by-gene matching to identify gene orthologs and homologous segments in genomes

Mahmood, K., Konagurthu, A. S., Song, J., Buckle, A. M., Webb, G. I. & Whisstock, J. C., 2010, In : Bioinformatics. 26, 17, p. 2076 - 2084 9 p.

Research output: Contribution to journalArticleResearchpeer-review

22 Citations (Scopus)

Experimental evaluation of integrating machine learning with knowledge acquisition

Webb, G. I., Wells, J. & Zheng, Z., 1 Jan 1999, In : Machine Learning. 35, 1, p. 5-23 19 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access

FastEE: fast Ensembles of Elastic Distances for time series classification

Tan, C. W., Petitjean, F. & Webb, G. I., Jan 2020, In : Data Mining and Knowledge Discovery. 34, 1, p. 231-272 42 p.

Research output: Contribution to journalArticleResearchpeer-review

50 Citations (Scopus)

Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm

Petitjean, F., Forestier, G., Webb, G. I., Nicholson, A. E., Chen, Y. & Keogh, E., 2016, In : Knowledge and Information Systems. 47, 1, p. 1 - 26 26 p.

Research output: Contribution to journalArticleResearchpeer-review

29 Citations (Scopus)

Feature Based Modelling: A methodology for producing coherent, consistent, dynamically changing models of agents' competencies

Webb, G. I. & Kuzmycz, M., 1 Jan 1995, In : User Modeling and User-Adapted Interaction. 5, 2, p. 117-150 34 p.

Research output: Contribution to journalArticleResearchpeer-review

30 Citations (Scopus)

Feature-subspace aggregating: ensembles for stable and unstable learners

Ting, K., Wells, J., Tan, S., Teng, S. & Webb, G. I., 2011, In : Machine Learning. 82, 3, p. 375 - 397 23 p.

Research output: Contribution to journalArticleResearchpeer-review

33 Citations (Scopus)

Filtered-top-k association discovery

Webb, G., 2011, In : WIREs Data Mining and Knowledge Discovery. 1, 3, p. 183 - 192 10 p.

Research output: Contribution to journalArticleResearchpeer-review

59 Citations (Scopus)

Further experimental evidence against the utility of occam's razor

Webb, G. I., 1 Dec 1996, In : Journal of Artificial Intelligence Research. 4, p. 397-417 21 p.

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Further Pruning for Efficient Association Rule Discovery

Webb, G. I. & Zhang, S., 2001, In : Lecture Notes in Computer Science. 2256, p. 605 - 618 14 p.

Research output: Contribution to journalArticleResearchpeer-review

56 Citations (Scopus)

GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome

Li, F., Li, C., Wang, M., Webb, G. I., Zhang, Y., Whisstock, J. C. & Song, J., 2015, In : Bioinformatics. 31, 9, p. 1411 - 1419 9 p.

Research output: Contribution to journalArticleResearchpeer-review

24 Citations (Scopus)

GlycoMinestruct: A new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features

Li, F., Li, C., Revote, J., Zhang, Y., Webb, G. I., Li, J., Song, J. & Lithgow, T., 6 Oct 2016, In : Scientific Reports. 6, 16 p., 34595.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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19 Citations (Scopus)

Identifying approximate itemsets of interest in large databases

Webb, G., Zhang, C. & Zhang, S., 2003, In : Applied Intelligence. 18, 1, p. 91 - 104 14 p.

Research output: Contribution to journalArticleResearchpeer-review

20 Citations (Scopus)

Identifying markers of pathology in SAXS data of malignant tissues of the brain

Siu, K. K. W., Butler, S. M., Beveridge, T. E., Gillam, J., Hall, C., Kaye, A. H., Lewis, R. A., Mannan, K., McLoughlin, G., Pearson, S. J., Round, A. R., Schultke, E., Webb, G. I. & Wilkinson, S. J., 2005, In : Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment. 548, p. 140 - 146 7 p.

Research output: Contribution to journalArticleResearchpeer-review

59 Citations (Scopus)

iFeature: a python package and web server for features extraction and selection from protein and peptide sequences

Chen, Z., Zhao, P., Li, F., Leier, A., Marquez-Lago, T., Wang, Y., Webb, G. I., Smith, A. I., Daly, R. J., Chou, K-C. & Song, J., 15 Jul 2018, In : Bioinformatics. 34, 14, p. 2499-2502 4 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Chen, Z., Zhao, P., Li, F., Marquez-Lago, T. T., Leier, A., Revote, J., Zhu, Y., Powell, D. R., Akutsu, T., Webb, G. I., Chou, K-C., Smith, A. I., Daly, R. J., Li, J. & Song, J., 24 Apr 2019, (Accepted/In press) In : Briefings in Bioinformatics. 11 p., bbz041.

Research output: Contribution to journalArticleResearchpeer-review

Improving the efficiency of rule-based expert systems by rule activation

Sanzogni, L., Suraweera, F. & Webb, G. I., 1 Jan 1990, In : Journal of Experimental and Theoretical Artificial Intelligence. 2, 4, p. 369-380 12 p.

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)

Inducing diagnostic rules for glomerular disease with the DLG machine learning algorithm

Webb, G. I. & Agar, J. W. M., 1 Jan 1992, In : Artificial Intelligence in Medicine. 4, 6, p. 419-430 12 p.

Research output: Contribution to journalArticleResearchpeer-review

14 Citations (Scopus)

Integrating machine learning with knowledge acquisition through direct interaction with domain experts

Webb, G. I., 1 Jan 1996, In : Knowledge-Based Systems. 9, 4, p. 253-266 14 p.

Research output: Contribution to journalArticleResearchpeer-review

8 Citations (Scopus)

Knowledge-Transfer learning for prediction of matrix metalloprotease substrate-cleavage sites

Wang, Y., Song, J., Marquez-Lago, T., Leier, A., Li, C., Lithgow, T., Webb, G. I. & Shen, H-B., 1 Dec 2017, In : Scientific Reports. 7, 1, 5755.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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86 Citations (Scopus)

K-Optimal rule discovery

Webb, G. & Zhang, S., 2005, In : Data Mining and Knowledge Discovery. 10, 1, p. 39 - 79 41 p.

Research output: Contribution to journalArticleResearchpeer-review