Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Thomas Lansdall-Welfare"'
Publikováno v:
Bibliothecae.it, Vol 8, Iss 2, Pp 169-218 (2019)
Digital libraries allow not only to improve the preservation of documents and to facilitate access by users, but also to experiment with new methods; for example, it is possible to examine the statistical relationships between the contents of thousan
Externí odkaz:
https://doaj.org/article/290f96e82edd4d55ade4aac57e6d2161
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0148434 (2016)
Feminist news media researchers have long contended that masculine news values shape journalists' quotidian decisions about what is newsworthy. As a result, it is argued, topics and issues traditionally regarded as primarily of interest and relevance
Externí odkaz:
https://doaj.org/article/6bba412bd39e43aeb68bca94875df4c6
Publikováno v:
PLoS ONE, Vol 11, Iss 11, p e0165736 (2016)
We address the problem of observing periodic changes in the behaviour of a large population, by analysing the daily contents of newspapers published in the United States and United Kingdom from 1836 to 1922. This is done by analysing the daily time s
Externí odkaz:
https://doaj.org/article/24a79c7987c04749840db5bfd9323ea5
Publikováno v:
Lansdall-Welfare, T & Cristianini, N 2019, ' History Playground : A Tool for Discovering Temporal Trends in Massive Textual Corpora ', Digital Scholarship in the Humanities . https://doi.org/10.1093/llc/fqy077
Recent studies have shown that macroscopic patterns of continuity and change over the course of centuries can be detected through the analysis of time series extracted from massive textual corpora. Similar data-driven approaches have already revoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0aa99e3f523db1b034ac54add13defe
https://research-information.bris.ac.uk/en/publications/473fb380-6c7a-42f7-8123-04f7fba20cdb
https://research-information.bris.ac.uk/en/publications/473fb380-6c7a-42f7-8123-04f7fba20cdb
Publikováno v:
The British journal of psychiatry : the journal of mental science. 215(2)
SummaryThe state of an individual's mental health depends on many factors. Determination of the importance of any particular factor within a population needs access to unbiased data. We used publicly available data-sets to investigate, at a populatio
Publikováno v:
Cristianini, N, Lansdall-Welfare, T & Dato, G 2018, ' Large-scale content analysis of historical newspapers in the town of Gorizia 1873–1914 ', Historical Methods . https://doi.org/10.1080/01615440.2018.1443862
We have digitised a corpus of Italian newspapers published in 1873–1914 in Gorizia, the county town of an area in the North Adriatic at the crossroad of the Latin, Slavic and Germanic civilizations, then part of the Habsburg Empire and now divided
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::450b310cd40663930b3f967ff912c2e8
https://research-information.bris.ac.uk/ws/files/152814048/Thomas_Lansdall_Welfare_Large_Scale_Content_Analysis_of_Historical_Newspapers_in_the_Town_of_Gorizia_1873_1914.pdf
https://research-information.bris.ac.uk/ws/files/152814048/Thomas_Lansdall_Welfare_Large_Scale_Content_Analysis_of_Historical_Newspapers_in_the_Town_of_Gorizia_1873_1914.pdf
Publikováno v:
Advances in Intelligent Data Analysis XVII ISBN: 9783030017675
IDA
IDA
We consider the problem of a neural network being requested to classify images (or other inputs) without making implicit use of a “protected concept”, that is a concept that should not play any role in the decision of the network. Typically these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce5878509250aa0a50c627ba78d7350f
https://doi.org/10.1007/978-3-030-01768-2_14
https://doi.org/10.1007/978-3-030-01768-2_14
Publikováno v:
Advances in Intelligent Data Analysis XVII ISBN: 9783030017675
IDA
IDA
Many modern Artificial Intelligence (AI) systems make use of data embeddings, particularly in the domain of Natural Language Processing (NLP). These embeddings are learnt from data that has been gathered “from the wild” and have been found to con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e70e728ff20e98a0a40bdaf1fc41e69
https://doi.org/10.1007/978-3-030-01768-2_27
https://doi.org/10.1007/978-3-030-01768-2_27
Publikováno v:
Jia, S, Lansdall-Welfare, T & Cristianini, N 2017, Gender classification by deep learning on millions of weakly labelled images . in Proceedings-16th IEEE International Conference on Data Mining Workshops, ICDMW 2016 ., 7836703, Proceedings of the International Conference on Data Mining Workshops, IEEE Computer Society, pp. 462-467, 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016, Barcelona, Spain, 12/12/16 . https://doi.org/10.1109/ICDMW.2016.0072
ICDM Workshops
ICDM Workshops
When analysing human activities using data mining or machine learning techniques, it can be useful to infer properties such as the gender or age of the people involved. This paper focuses on the sub-problem of gender recognition, which has been studi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d489b1432040f9d8a94d9b6107ed5f13
https://research-information.bris.ac.uk/ws/files/90114160/Sen_Jia_Gender_Classification_by_Deep_Learning_on_Millions_of_Weakly_Labelled_Images.pdf
https://research-information.bris.ac.uk/ws/files/90114160/Sen_Jia_Gender_Classification_by_Deep_Learning_on_Millions_of_Weakly_Labelled_Images.pdf
Autor:
Nello Cristianini, James Thompson, FindMyPast Newspaper Team, Saatviga Sudhahar, Thomas Lansdall-Welfare, Justin Lewis
Publikováno v:
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
Previous studies have shown that it is possible to detect macroscopic patterns of cultural change over periods of centuries by analyzing large textual time series, specifically digitized books. This method promises to empower scholars with a quantita