Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Peter Nabende"'
Autor:
Joyce Nakatumba‐Nabende, Claire Babirye, Peter Nabende, Jeremy Francis Tusubira, Jonathan Mukiibi, Eric Peter Wairagala, Chodrine Mutebi, Tobius Saul Bateesa, Alvin Nahabwe, Hewitt Tusiime, Andrew Katumba
Publikováno v:
Applied AI Letters, Vol 5, Iss 2, Pp n/a-n/a (2024)
ABSTRACT Africa has over 2000 languages; however, those languages are not well represented in the existing natural language processing ecosystem. African languages lack essential digital resources to effectively engage in advancing language technolog
Externí odkaz:
https://doaj.org/article/20d1ff9f01e045f29424c88e5c172d7f
Autor:
Mark Abraham Magumba, Peter Nabende
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-17 (2021)
Abstract Twitter and social media as a whole have great potential as a source of disease surveillance data however the general messiness of tweets presents several challenges for standard information extraction methods. Most deployed systems employ a
Externí odkaz:
https://doaj.org/article/5b50ad04732747759b910cde2077afcf
Publikováno v:
Geospatial Health, Vol 15, Iss 2 (2021)
Typhoid disease continues to be a global public health burden. Uganda is one of the African countries characterized by high incidences of typhoid disease. Over 80% of the Ugandan districts are endemic for typhoid, largely attributable to lack of reli
Externí odkaz:
https://doaj.org/article/990cc3fec936411da0883c770fd7a5a1
Publikováno v:
Journal of Big Data, Vol 5, Iss 1, Pp 1-19 (2018)
Abstract This paper presents an ontology based deep learning approach for extracting disease names from Twitter messages. The approach relies on simple features obtained via conceptual representations of messages to obtain results that out-perform th
Externí odkaz:
https://doaj.org/article/66f2098fea4744d49dfc0aaa7c429dfe
Autor:
Peter Nabende, Benjamin K. Ahimbisibwe
Publikováno v:
International Journal of Advanced Research. 6:48-63
The study aimed at examining the extent to which information security management practices were institutionalised in corporate organisations. Evidence shows that failure by organisations to entrench the information security management practices (ISMP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3b4c4c6562d85945acb2a8266443177
https://doi.org/10.37284/ijar.6.1.1155
https://doi.org/10.37284/ijar.6.1.1155
Publikováno v:
Health and Technology. 11:929-940
To identify which data mining technique (parametric or non-parametric) best fits the predictions on imbalanced malaria incidence dataset. The researchers compared parametric techniques in form of naive Bayes and logistic regression against non-parame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b48234c61c116e75617b45ad535ece
https://doi.org/10.1007/s12553-021-00551-9
https://doi.org/10.1007/s12553-021-00551-9
Autor:
Peter Nabende
Publikováno v:
Journal of Digital Science. :3-17
Natural Language Processing for under-resourced languages is now a mainstream research area. However, there are limited studies on Natural Language Processing applications for many indigenous East African languages. As a contribution to covering the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05f215e815fad8afa0a0d2d63282a4b6
https://doi.org/10.33847/2686-8296.2.1_1
https://doi.org/10.33847/2686-8296.2.1_1
Publikováno v:
DSIT
This paper presents an approach to further improve the data reduction abilities of the traditional C4.5 algorithm by integrating the information gain ratio and forward stepwise regression algorithms. Motivated by the fact that the traditional C4.5 al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5b35e20f4f81c110510a2885e8a581a
https://doi.org/10.1145/3478905.3479245
https://doi.org/10.1145/3478905.3479245
Autor:
Mark Abraham Magumba, Peter Nabende
Twitter and social media as a whole have great potential as a source of disease surveillance data however the general messiness of tweets presents several challenges for standard information extraction methods. Most deployed systems employ approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c85b8a76b0f09f10e13fd87fad9a98b
https://doi.org/10.21203/rs.3.rs-661600/v1
https://doi.org/10.21203/rs.3.rs-661600/v1
Publikováno v:
Geospatial Health, Vol 15, Iss 2 (2021)
Typhoid disease continues to be a global public health burden. Uganda is one of the African countries characterized by high incidences of typhoid disease. Over 80% of the Ugandan districts are endemic for typhoid, largely attributable to lack of reli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9d561aadf6fe52870070a0804969dcc
https://geospatialhealth.net/index.php/gh/article/view/860
https://geospatialhealth.net/index.php/gh/article/view/860