His scientific interests lie mostly in Information retrieval, Visual field, Relevance, Ranking and Search engine. His study in the fields of Document retrieval under the domain of Information retrieval overlaps with other disciplines such as Scheme and Recall. His studies deal with areas such as Optic disk and Optic nerve as well as Visual field.
The study incorporates disciplines such as Test, Learning to rank, Magnitude and Crowdsourcing in addition to Relevance. His Search engine study incorporates themes from Query language and Query expansion. In general Ophthalmology, his work in Eye disease, Visual acuity and Vision test is often linked to Protocol linking many areas of study.
His primary areas of investigation include Visual field, Information retrieval, Artificial intelligence, Glaucoma and Algorithm. His work in the fields of Visual field, such as Visual field test, overlaps with other areas such as Zest. In general Information retrieval study, his work on Relevance, Search engine and Query expansion often relates to the realm of Task, thereby connecting several areas of interest.
The various areas that Andrew Turpin examines in his Artificial intelligence study include Machine learning, Pattern recognition, Computer vision and Natural language processing. His Glaucoma research incorporates elements of Optometry, Intraocular pressure and Optical coherence tomography. In the subject of general Algorithm, his work in Prefix code, Data compression and Variable-length code is often linked to Compressed suffix array and Suffix array, thereby combining diverse domains of study.
His primary areas of study are Visual field, Glaucoma, Ophthalmology, Artificial intelligence and Optic nerve. His work on Visual field test as part of his general Visual field study is frequently connected to Zest, thereby bridging the divide between different branches of science. His Optic disk study in the realm of Glaucoma interacts with subjects such as Raphe.
His work on Optic disc and Automated perimetry as part of general Ophthalmology research is frequently linked to Healthy volunteers, bridging the gap between disciplines. Andrew Turpin has included themes like Natural language processing, Computer vision and Pattern recognition in his Artificial intelligence study. His Optic nerve research focuses on Displacement and how it connects with Corneal hysteresis.
His main research concerns Visual field, Glaucoma, Optical coherence tomography, Optic disk and Ophthalmology. His biological study spans a wide range of topics, including Nerve fiber layer, Data mining and Blind spot, Artificial intelligence. His Data mining research includes elements of Optometry and Automated perimetry.
The concepts of his Blind spot study are interwoven with issues in Algorithm and Wilcoxon signed-rank test. His research in the fields of Document similarity overlaps with other disciplines such as Zest. His Glaucoma study integrates concerns from other disciplines, such as Fovea centralis and Fundus.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A computerized method of visual acuity testing: Adaptation of the Early Treatment of Diabetic Retinopathy Study testing protocol
Roy W Beck;Pamela S Moke;Andrew H Turpin;Frederick L Ferris.
American Journal of Ophthalmology (2003)
User performance versus precision measures for simple search tasks
Andrew Turpin;Falk Scholer.
international acm sigir conference on research and development in information retrieval (2006)
A taxonomy of suffix array construction algorithms
Simon J. Puglisi;W. F. Smyth;Andrew H. Turpin.
ACM Computing Surveys (2007)
Computerized method of visual acuity testing: Adaptation of the Amblyopia Treatment Study visual acuity testing protocol
Pamela S. Moke;Andrew H. Turpin;Roy W. Beck;Jonathan M. Holmes.
American Journal of Ophthalmology (2001)
Why batch and user evaluations do not give the same results
Andrew H. Turpin;William Hersh.
international acm sigir conference on research and development in information retrieval (2001)
Compression and coding algorithms
Alistair Moffat;Andrew Turpin.
Fast generation of result snippets in web search
Andrew Turpin;Yohannes Tsegay;David Hawking;Hugh E. Williams.
international acm sigir conference on research and development in information retrieval (2007)
Do batch and user evaluations give the same results
William Hersh;Andrew Turpin;Susan Price;Benjamin Chan.
international acm sigir conference on research and development in information retrieval (2000)
Variability components of standard automated perimetry and frequency-doubling technology perimetry.
Paul G. D. Spry;Chris A. Johnson;Allison M. McKendrick;Andrew Turpin.
Investigative Ophthalmology & Visual Science (2001)
Efficient token based clone detection with flexible tokenization
Hamid Abdul Basit;Simon J. Puglisi;William F. Smyth;Andrew Turpin.
foundations of software engineering (2007)
Profile was last updated on December 6th, 2021.
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