Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yaroslav Hernandez"'
Publikováno v:
Mathematics, Vol 11, Iss 20, p 4375 (2023)
Topic modelling has become a highly popular technique for extracting knowledge from texts. It encompasses various method families, including Factorial methods, Probabilistic methods, and Natural Language Processing methods. This paper introduces a un
Externí odkaz:
https://doaj.org/article/4bf1c40637814155a7a4dd83055c56f7
Topic modelling is nowadays one of the most popular techniques used to extract knowledge from texts. There are several families of methods related to this problem, among them 1) Factorial methods, 2) Probabilistic methods and 3) Natural Language Proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4bddb6ab8751b825f13ed4ec6a96976
https://doi.org/10.3233/faia210126
https://doi.org/10.3233/faia210126
Publikováno v:
Transportation Research Procedia. 34:259-266
With the increasing availability of traffic data in large urban areas, there is an opportunity to infer more sophisticated traffic patterns and trends which till now has been difficult to obtain and understand. The inferred traffic patterns can then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c5e4b0f9177c49b0e561cdb9ceb6c53
https://doi.org/10.1016/j.trpro.2018.11.040
https://doi.org/10.1016/j.trpro.2018.11.040
Autor:
Tamara Djukic, Rafael Mena-Yedra, Mohammad Saifuzzaman, Yaroslav Hernandez-Potiomkin, Jordi Casas, Emmanuel Bert
Publikováno v:
ITSC
Reducing the effects of incidents by their early detection is one of a crucial requirements for incident management. This paper presents automated incident detection model based on unsupervised approach that uses only traffic observations as a model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53e8a57a64c471b87f15fb90c0901fc1
https://doi.org/10.1109/itsc.2018.8569642
https://doi.org/10.1109/itsc.2018.8569642