Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Laurence Hirsch"'
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 797 (2023)
Topic modelling is a prominent task for automatic topic extraction in many applications such as sentiment analysis and recommendation systems. The approach is vital for service industries to monitor their customer discussions. The use of traditional
Externí odkaz:
https://doaj.org/article/4a269d760d774c46b16819091e71a73d
Autor:
Luis Eduardo Calliari, Laura Cudizio, Balduino Tschiedel, Hermelinda C. Pedrosa, Rosangela Rea, Augusto Pimazoni-Netto, Laurence Hirsch, Kenneth Strauss
Publikováno v:
Diabetology & Metabolic Syndrome, Vol 10, Iss 1, Pp 1-7 (2018)
Abstract Background In 2014–2015, the largest international survey of insulin injection technique in patients with diabetes taking insulin was conducted in 42 countries, totaling 13,289 participants. In Brazil, patients from five public health cent
Externí odkaz:
https://doaj.org/article/0ce66cd2b0734aeda9c0242e8da0fc56
Autor:
Laurence Hirsch, Teresa Brunsdon
Publikováno v:
Applied Artificial Intelligence, Vol 32, Iss 7-8, Pp 768-784 (2018)
In this article, we use a genetic algorithm to evolve seven different types of Lucene search query with the objective of generating accurate and readable text classifiers. We compare the effectiveness of each of the different types of query using thr
Externí odkaz:
https://doaj.org/article/43e4aa0eab62487baf59dbffd6b4655a
Publikováno v:
CEC
We present a novel, hybrid approach for clustering text databases. We use a genetic algorithm to generate and evolve a set of single word search queries in Apache Lucene format. Clusters are formed as the set of documents matching a search query. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e160af3bab40565f0c698551f82691
https://doi.org/10.1109/cec45853.2021.9504770
https://doi.org/10.1109/cec45853.2021.9504770
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789813343665
During the past few decades Classifiers have become a heavily studied and well-researched area. Classifiers are often used in many modern applications as a core computing technique. However, it has been observed that many popular and highly accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39c1031c91959dff0d8417589ff9f70b
https://shura.shu.ac.uk/26480/1/274_M.pdf
https://shura.shu.ac.uk/26480/1/274_M.pdf
Publikováno v:
Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1 ISBN: 9783030631277
Document analysis is a well matured yet still active research field, partly as a result of the intricate nature of building computational tools but also due to the inherent problems arising from the variety and complexity of human languages. Breaking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd0cf7fd7fd0c17d55a8706095fad077
https://doi.org/10.1007/978-3-030-63128-4_59
https://doi.org/10.1007/978-3-030-63128-4_59
Autor:
Laurence Hirsch, Alessandro Di Nuovo
Publikováno v:
CEC
Search queries define a set of documents located in a collection and can be used to rank the documents by assigning each document a score according to their closeness to the query in the multidimensional space of weighted terms. In this paper, we des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24f7c63235f13060fa440a18ec22d810
https://shura.shu.ac.uk/15409/1/Hirsch_DiNuovo_TextClusteringGA.pdf
https://shura.shu.ac.uk/15409/1/Hirsch_DiNuovo_TextClusteringGA.pdf
Autor:
Konstantinos Domdouzis, Constantinos Orphanides, Tony Day, Laurence Hirsch, Raluca Lefticaru, Simon Andrews
Publikováno v:
Application of Social Media in Crisis Management ISBN: 9783319524184
The analysis of potentially large volumes of crowd-sourced and social media data is central to meeting the requirements of the ATHENA project. Here, we discuss the various stages of the pipeline process we have developed, including acquisition of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95b8669275ef9c80a58aaedc5ed3633b
https://doi.org/10.1007/978-3-319-52419-1_6
https://doi.org/10.1007/978-3-319-52419-1_6
Purpose A number of crisis situations, such as natural disasters, have affected the planet over the past decade. The outcomes of such disasters are catastrophic for the infrastructures of modern societies. Furthermore, after large disasters, societie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::640e253c4de6f59fafbc944ca7f41b29
Publikováno v:
2016 IEEE 17th International Symposium on Computational Intelligence (CINTI)
Cloud computing is a promising computing paradigm which has the potential to speed up Information Technology adoption among SMEs in developing economies like India. The user friendly, pay per use cloud computing model offers SMEs access to highly sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4295693a3f038fc3f5b73c6472a3d85
https://doi.org/10.1109/cinti.2016.7846430
https://doi.org/10.1109/cinti.2016.7846430