Browsing by Author "Smith, Tony C."
Now showing items 1-5 of 20
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Automatically linking MEDLINE abstracts to the Gene Ontology
(2003)Much has been written recently about the need for effective tools and methods for mining the wealth of information present in biomedical literature (Mack and Hehenberger, 2002; Blagosklonny and Pardee, 2001; Rindflesch et ... -
Better text compression from fewer lexical n-grams
(IEEE Computer Society, 2001)Word-based context models for text compression have the capacity to outperform more simple character-based models, but are generally unattractive because of inherent problems with exponential model growth and corresponding ... -
Comparing high dimensional word embeddings trained on medical text to bag-of-words for predicting medical codes
(Springer, 2020)Word embeddings are a useful tool for extracting knowledge from the free-form text contained in electronic health records, but it has become commonplace to train such word embeddings on data that do not accurately reflect ... -
Computer concepts without computers: a first course in computer science
(Department of Computer Science, University of Waikato, 1997-02)While some institutions seek to make CS1 curricula more enjoyable by incorporating specialised educational software [1] or by setting more enjoyable programming assignments [2], we have joined the growing number of Computer ... -
Data on coding association rules from an inpatient administrative health data coded by International classification of disease - 10th revision (ICD-10) codes
(2018)Data presented in this article relates to the research article entitled “Exploration of association rule mining for coding consistency and completeness assessment in inpatient administrative health data” (Peng et al. [1]) ...
Co-authors for Tony C. Smith
Supervised by Tony C. Smith
Showing up to 5 theses - most recently added to Research Commons first.
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Domain-specific language models for multi-label classification of medical text
(The University of Waikato, 2022)Recent advancements in machine learning-based medical text multi-label classifications can be used to enhance the understanding of the human body and aid the need for patient care. This research considers predicting medical ... -
Cue word guided question generation with BERT model fine-tuned on natural question dataset
(The University of Waikato, 2020)This thesis aims to develop an efficient question generator for an automated tutoring system. Given a context passage with an answer, the question generator asks questions to help the reader learn new material. By utilizing ... -
Autoencoder-based techniques for improved classification in settings with high dimensional and small sized data
(The University of Waikato, 2020)Neural network models have been widely tested and analysed usinglarge sized high dimensional datasets. In real world application prob-lems, the available datasets are often limited in size due to reasonsrelated to the ... -
Characterisation of VapC in Mycobacterium smegmatis
(University of Waikato, 2016)Members of the VapC family of proteins cleave RNA at specific sites in order to regulate biological processes with a cell. Characterization of the sites targeted by a specific protein using conventional biochemical techniques ... -
Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method
(University of Waikato, 2013)Relational Reinforcement Learning (RRL) is a subfield of machine learning in which a learning agent seeks to maximise a numerical reward within an environment, represented as collections of objects and relations, by ...
