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ORCIDMichael P. Oakes
Person information
- affiliation: University of Wolverhampton, Research Group in Computational Linguistics, UK
- affiliation (former): University of Wolverhampton, Research Group in Computational Linguistics, UK
- affiliation (PhD 1994): University of Liverpool, UK
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2020 – today
- 2023
[e1]Ingo Frommholz, Frank Hopfgartner, Mark Lee, Michael Oakes, Mounia Lalmas, Min Zhang, Rodrygo L. T. Santos:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023. ACM 2023 [contents]
2010 – 2019
- 2019
- [j17]Michael Philip Oakes
:
Statistical Analysis of the Tables in Mahadevan's Concordance of the Indus Valley Script. J. Quant. Linguistics 26(1): 22-47 (2019) - 2018
- [j16]Michael P. Oakes:
Computer stylometry of C. S. Lewis's The Dark Tower and related texts. Digit. Scholarsh. Humanit. 33(3): 637-650 (2018) - 2017
- [c44]Ahmed Ibrahim Ahmed Omer, Michael Philip Oakes:
Arud, the Metrical System of Arabic Poetry, as a Feature Set for Authorship Attribution. AICCSA 2017: 431-436 - [c43]Mireille Makary, Michael P. Oakes, Ruslan Mitkov, Fadi Yamout:
Using Supervised Machine Learning to Automatically Build Relevance Judgments for a Test Collection. DEXA Workshops 2017: 108-112 - 2016
- [j15]Jesús Vilares Ferro, Manuel Vilares Ferro, Miguel A. Alonso, Michael P. Oakes:
On the feasibility of character n-grams pseudo-translation for Cross-Language Information Retrieval tasks. Comput. Speech Lang. 36: 136-164 (2016) - [c42]Mireille Makary, Michael P. Oakes, Fadi Yamout:
Towards automatic generation of relevance judgments for a test collection. ICDIM 2016: 121-126 - [c41]Mireille Makary, Michael P. Oakes, Fadi Yamout:
Using key phrases as new queries in building relevance judgments automatically. LWDA 2016: 175-176 - 2015
- [j14]Victoria Bobicev, Marina Sokolova, Michael P. Oakes:
What Goes Around Comes Around: Learning Sentiments in Online Medical Forums. Cogn. Comput. 7(5): 609-621 (2015) - [j13]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
A Scalable Meta-Classifier Combining Search and Classification Techniques for Multi-Level Text Categorization. Int. J. Comput. Intell. Appl. 14(4): 1550020:1-1550020:16 (2015) - [c40]Victoria Bobicev, Marina Sokolova, Michael P. Oakes:
Sentiment and Factual Transitions in Online Medical Forums. Canadian AI 2015: 204-211 - [c39]Victor U. Thompson, Christo Panchev, Michael Oakes:
Performance Evaluation of Similarity Measures on Similar and Dissimilar Text Retrieval. KDIR 2015: 577-584 - 2014
- [c38]Victoria Bobicev, Marina Sokolova, Michael P. Oakes:
Recognition of Sentiment Sequences in Online Discussions. SocialNLP@COLING 2014: 44-49 - 2013
- [j12]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
Hybrid classifiers based on semantic data subspaces for two-level text categorization. Int. J. Hybrid Intell. Syst. 10(1): 33-41 (2013) - [c37]Christo Panchev, Muhammad Naveed Anwar, Michael Oakes:
Hearing Aid Classification Based on Audiology Data. ICANN 2013: 375-380 - 2012
- [j11]Michael Oakes:
Alexander Mehler, Serge Sharoff and Marina Santini (eds.): Genres on the web: computational models and emprical studies - Springer, 2010, 362 pp. Lang. Resour. Evaluation 46(1): 101-107 (2012) - [j10]Muhammad N. Anwar, Michael P. Oakes:
Data mining of audiology patient records: factors influencing the choice of hearing aid type. BMC Medical Informatics Decis. Mak. 12(S-1): S6 (2012) - [c36]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
A Fast Subspace Text Categorization Method Using Parallel Classifiers. CICLing (2) 2012: 132-143 - 2011
- [j9]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
Semantic subspace learning for text classification using hybrid intelligent techniques. Int. J. Hybrid Intell. Syst. 8(2): 99-114 (2011) - [c35]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
Hybrid classifiers for improved semantic subspace learning of news documents. HIS 2011: 28-33 - [c34]Nandita Tripathi, Michael P. Oakes, Stefan Wermter:
Hybrid Parallel Classifiers for Semantic Subspace Learning. ICANN (2) 2011: 64-70 - 2010
- [j8]Wei-Chao Lin, Michael P. Oakes, John Tait:
Improving image annotation via representative feature vector selection. Neurocomputing 73(10-12): 1774-1782 (2010) - [j7]Yan Xu, Michael P. Oakes:
An initial study on text summarisation in film stories Un estudio inicial sobre el resumen de argumentos de películas. Proces. del Leng. Natural 44 (2010) - [c33]Nandita Tripathi, Stefan Wermter, Chihli Hung, Michael P. Oakes:
Semantic Subspace Learning with conditional significance vectors. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j6]Valérie Bonnardel, Michael P. Oakes, John Tait:
Special corner: Visual Categorization and Image Management Systems. Cogn. Process. 10(3): 209-210 (2009) - [j5]Wei-Chao Lin, Michael P. Oakes, John Tait, Chih-Fong Tsai:
Improving image annotation via useful representative feature selection. Cogn. Process. 10(3): 233-242 (2009) - [j4]Mustafa A. Abusalah, John Tait, Michael P. Oakes:
Cross Language Information Retrieval using Multilingual Ontology as Translation and Query Expansion Base (pp. 13-16). Polibits 40: 13-16 (2009) - [c32]Yan Xu, Michael P. Oakes:
Using Search Logs to Recommend Images to New Users. Adaptive Multimedia Retrieval 2009: 147-158 - [c31]Michael P. Oakes, Yan Xu:
A Search Engine Based on Query Logs, and Search Log Analysis by Automatic Language Identification. CLEF (1) 2009: 526-533 - [c30]Michael P. Oakes, Yan Xu:
A Search Engine based on Query Logs and Search Log Analysis at the University of Sunderland. CLEF (Working Notes) 2009 - [c29]Mustafa A. Abusalah, John Tait, Michael P. Oakes:
Arabic-English Automatic Ontology Mapping Based on Machine Readable Dictionary. ENC 2009: 367-372 - [c28]Marco A. Palomino, Michael P. Oakes, Tom Wuytack:
An evaluation of concept suggestion strategies for professional multimedia archives. IMCSIT 2009: 273-279 - 2008
- [c27]Wei-Chao Lin, Michael P. Oakes, John Tait:
Real AdaBoost for large vocabulary image classification. CBMI 2008: 192-199 - [c26]George Shih-Wen Ke, Michael P. Oakes, Marco A. Palomino, Yan Xu:
Comparison between SVM-Light, a search engine-based approach and the mediamill baselines for assigning concepts to video shot annotations. CBMI 2008: 381-387 - [c25]Chufeng Chen, Michael P. Oakes, John Tait:
A location data annotation system for personal photograph collections: Evaluation of a searching and browsing tool. CBMI 2008: 534-541 - [c24]Ahmad Abusukhon, Mohammad Talib, Michael P. Oakes:
An Investigation into Improving the Load Balance for Term-Based Partitioning. UNISCON 2008: 380-392 - 2007
- [j3]Michael P. Oakes, Malcolm Farrow:
Use of the Chi-Squared Test to Examine Vocabulary Differences in English Language Corpora Representing Seven Different Countries. Lit. Linguistic Comput. 22(1): 85-99 (2007) - [c23]Michael P. Oakes:
Ord's criterion with word length spectra for the discrimination of texts, music and computer programs. Exact Methods in the Study of Language and Text 2007: 509-520 - [c22]Jesús Vilares, Michael P. Oakes, Manuel Vilares Ferro:
CoLesIR at CLEF 2007: from English to French via Character N-Grams. CLEF (Working Notes) 2007 - [c21]Jesús Vilares, Michael P. Oakes, Manuel Vilares Ferro:
English-to-French CLIR: A Knowledge-Light Approach through Character N-Grams Alignment. CLEF 2007: 148-155 - [c20]Fadi Yamout, Michael P. Oakes, John Tait:
Relevance Feedback Using Weight Propagation Compared with Information-Theoretic Query Expansion. ECIR 2007: 258-270 - [c19]Jesús Vilares, Michael P. Oakes, Manuel Vilares Ferro:
Character N-Grams Translation in Cross-Language Information Retrieval. NLDB 2007: 217-228 - 2006
- [c18]Jesús Vilares, Michael P. Oakes, John Tait:
A First Approach to CLIR Using Character N -Grams Alignment. CLEF 2006: 111-118 - [c17]Jesús Vilares, Michael P. Oakes, John Tait:
CoLesIR at CLEF 2006: Rapid Prototyping of an N-gram-Based CLIR System. CLEF (Working Notes) 2006 - [c16]Chufeng Chen, Michael P. Oakes, John Tait:
Browsing Personal Images Using Episodic Memory (Time + Location). ECIR 2006: 362-372 - [c15]Shih-Wen Ke, Chris Bowerman, Michael P. Oakes:
PERC: A Personal Email Classifier. ECIR 2006: 460-463 - [c14]Fadi Yamout, Michael P. Oakes, John Tait:
Relevance Feedback Using Weight Propagation. ECIR 2006: 575-578 - [c13]Chufeng Chen, Michael P. Oakes, John Tait:
A Location Data Annotation System for Personal Photograph Collections: Evaluation of a Searching and Browsing Tool. GIR 2006 - [c12]Chufeng Chen, Michael P. Oakes, John Tait:
A location annotation system for personal photos. SIGIR 2006: 726 - 2005
- [c11]Shih-Wen Ke, Michael P. Oakes, Chris Bowerman:
Mining Personal Data Collections to Discover Categories and Category Labels. RANLP Text Mining Workshop 2005: 17-22 - [c10]Michael P. Oakes:
Using Hearst's Rules for the Automatic Acquisition of Hyponyms for Mining a Pharmaceutical Corpus. RANLP Text Mining Workshop 2005: 63-67 - [c9]Mustafa A. Abusalah, John Tait, Michael P. Oakes:
Literature Review of Cross Language Information Retrieval. WEC (2) 2005: 175-177 - 2004
- [c8]Fadi Yamout, Issam A. R. Moghrabi, Michael P. Oakes:
Query and Relevance Feedback in Latent Semantic Index with Reduced Time Complexity. Databases and Applications 2004: 191-196 - [c7]Shaun Cox, Michael P. Oakes, Stefan Wermter, Maurice Hawthorne:
AudioMine: Medical Data Mining in Heterogeneous Audiology Records. International Conference on Computational Intelligence 2004: 8-11 - 2003
- [c6]Michael P. Oakes, Souvik Banerjee:
Regular Sound Changes for Cross-Language Information Retrieval. CLEF 2003: 263-270 - [c5]Michael P. Oakes, Souvik Banerjee:
Regular Sound Changes for Cross-language Information Retrieval. CLEF (Working Notes) 2003 - [c4]Christopher Stokoe, Michael P. Oakes, John Tait:
Word sense disambiguation in information retrieval revisited. SIGIR 2003: 159-166 - 2001
- [c3]Robert J. Gaizauskas, Patrick Herring, Michael P. Oakes, Micheline Beaulieu, Peter Willett, Helene Fowkes, Anna Jonsson:
Intelligent Access to Text: Integrating Information Extraction Technology into Text Browsers. HLT 2001 - [c2]Michael P. Oakes, Robert J. Gaizauskas, Helene Fowkes:
A Method Based on the Chi-Square Test for Document Classification. SIGIR 2001: 440-441 - 2000
- [j2]Michael P. Oakes:
Computer Estimation of Vocabulary in a Protolanguage from Word Lists in Four Daughter Languages. J. Quant. Linguistics 7(3): 233-243 (2000)
1990 – 1999
- 1999
- [c1]Michael P. Oakes, Chris D. Paice:
The Automatic Generation of Templates for Automatic Abstracting. BCS-IRSG Annual Colloquium on IR Research 1999 - 1998
- [j1]Michael P. Oakes, Malcolm J. Taylor:
Automated Assistance in the Formulation of Search Statements for Bibliographic Databases. Inf. Process. Manag. 34(6): 645-668 (1998)
Coauthor Index
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