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1دورية أكاديمية
المؤلفون: Saatviga Sudhahar, Bugra Ozer, Jiakang Chang, Wayne Chadwick, Daniel O’Donovan, Aoife Campbell, Emma Tulip, Neil Thompson, Ian Roberts
المصدر: Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
مصطلحات موضوعية: Science
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2041-1723
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2دورية أكاديمية
المؤلفون: Philip W. Brownjohn, Azedine Zoufir, Daniel J. O’Donovan, Saatviga Sudhahar, Alexander Syme, Rosemary Huckvale, John R. Porter, Hester Bange, Jane Brennan, Neil T. Thompson
المصدر: Frontiers in Pharmacology, Vol 15 (2024)
مصطلحات موضوعية: autosomal dominant polycystic kidney disease, rare diseases, gene expression profiling, machine learning, drug discovery, drug repositioning, Therapeutics. Pharmacology, RM1-950
وصف الملف: electronic resource
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3دورية أكاديمية
المصدر: PLoS ONE, Vol 11, Iss 2, p e0148434 (2016)
وصف الملف: electronic resource
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4دورية أكاديمية
المؤلفون: Saatviga Sudhahar, Giuseppe A Veltri, Nello Cristianini
المصدر: Big Data & Society, Vol 2 (2015)
مصطلحات موضوعية: General Works
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2053-9517
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المؤلفون: Andrea Pierleoni, Ian Roberts, Saatviga Sudhahar
المصدر: TextGraphs@EMNLP
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Computation and Language, Theoretical computer science, Computer Science - Artificial Intelligence, Computer science, business.industry, 05 social sciences, Rank (computer programming), Scale (descriptive set theory), Scientific literature, 010501 environmental sciences, 01 natural sciences, Set (abstract data type), Artificial Intelligence (cs.AI), Ranking, Knowledge base, Simple (abstract algebra), 0502 economics and business, Path (graph theory), 050207 economics, business, Computation and Language (cs.CL), 0105 earth and related environmental sciences
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c78d6faf45891cc693390528516dbf8
https://doi.org/10.18653/v1/d19-5320 -
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المؤلفون: Saatviga Sudhahar, Nello Cristianini, Nouf Bindris
المصدر: Advances in Intelligent Data Analysis XVII ISBN: 9783030017675
IDAمصطلحات موضوعية: Ground truth, business.industry, Computer science, Fact checking, Probabilistic logic, Contrast (statistics), 02 engineering and technology, 010501 environmental sciences, computer.software_genre, 01 natural sciences, Domain (software engineering), Information extraction, 0202 electrical engineering, electronic engineering, information engineering, Encyclopedia, Natural (music), 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Natural language processing, 0105 earth and related environmental sciences
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f69f9c90711de37cd1105c13fb88799a
https://doi.org/10.1007/978-3-030-01768-2_5 -
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المؤلفون: Saatviga Sudhahar, Nello Cristianini
المصدر: Advances in Intelligent Data Analysis XVII ISBN: 9783030017675
IDAمصطلحات موضوعية: Machine translation, business.industry, Computer science, 05 social sciences, Sentiment analysis, Big data, Sign (semiotics), 050801 communication & media studies, Public opinion, computer.software_genre, Data science, 0506 political science, Digital media, Task (project management), 0508 media and communications, Order (exchange), 050602 political science & public administration, business, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0b52d604573e4219fa143de9c7fd6a72
https://doi.org/10.1007/978-3-030-01768-2_26 -
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المؤلفون: Nello Cristianini, James Thompson, FindMyPast Newspaper Team, Saatviga Sudhahar, Thomas Lansdall-Welfare, Justin Lewis
المصدر: Lansdall-Welfare, T, Sudhahar, S, Thompson, J, Lewis, J & Cristianini, N 2017, ' Content Analysis of 150 Years of British Periodicals ', Proceedings of the National Academy of Sciences of the United States of America, vol. 114, no. 4, pp. E457-E465 . https://doi.org/10.1073/pnas.1606380114
مصطلحات موضوعية: Focus (computing), Multidisciplinary, Culturomics, Computer science, business.industry, 05 social sciences, 050801 communication & media studies, 02 engineering and technology, computational history, artificial intelligence, Data science, Newspaper, 0508 media and communications, PNAS Plus, Content analysis, Analytics, Close reading, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, data science, digital humanities, business, Temporal information, Period (music)
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9cf13cc75ce26d624f06a958a591f62
https://pubmed.ncbi.nlm.nih.gov/28069962 -
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المصدر: Jia, S, Lansdall-Welfare, T, Sudhahar, S, Carter, C & Cristianini, N 2016, ' Women Are Seen More than Heard in Online Newspapers ', PLoS ONE, vol. 11, no. 2, e0148434 . https://doi.org/10.1371/journal.pone.0148434
PLoS ONE, Vol 11, Iss 2, p e0148434 (2016)
PLoS ONEمصطلحات موضوعية: Male, History, Social Sciences, lcsh:Medicine, 02 engineering and technology, HM, Feminism, Newspaper, Machine Learning, Learning and Memory, Cognition, 0508 media and communications, Sociology, 5. Gender equality, Medicine and Health Sciences, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Relevance (law), lcsh:Science, Mass media, media_common, Multidisciplinary, 05 social sciences, Newspapers as Topic, Online Encyclopedias, Democracy, Female, 020201 artificial intelligence & image processing, Anatomy, PN1990, Research Article, Computer and Information Sciences, Imaging Techniques, Political Science, media_common.quotation_subject, 050801 communication & media studies, Research and Analysis Methods, Face Recognition, Pleasure, Sexual and Gender Issues, Human Learning, Artificial Intelligence, Memory, Support Vector Machines, News values, Learning, Humans, Mass Media, News media, Internet, business.industry, lcsh:R, Cognitive Psychology, Media studies, Biology and Life Sciences, Communications, Face, Cognitive Science, Encyclopedias, Perception, lcsh:Q, business, Head, Neuroscience
وصف الملف: application/pdf
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المصدر: WWW (Companion Volume)
مصطلحات موضوعية: Information retrieval, Preference learning, Training set, Multimedia, Computer science, Data stream mining, Hash function, Evaluation function, computer.software_genre, Task (project management), Scalability, Learning to rank, Feature hashing, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2d5f77c83e957b67a9d3e624539235ec
https://doi.org/10.1145/2740908.2742008