Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Rocío L. Cecchini"'
Publikováno v:
PeerJ Computer Science, Vol 9, p e1710 (2023)
Topic-based search systems retrieve items by contextualizing the information seeking process on a topic of interest to the user. A key issue in topic-based search of text resources is how to automatically generate multiple queries that reflect the to
Externí odkaz:
https://doaj.org/article/4e58ef5525c3417f88c2978ff2f09b9a
Publikováno v:
CLEI Electronic Journal, Vol 14, Iss 1 (2011)
The absence of reliable and efficient techniques to evaluate information retrieval systems has become a bottleneck in the development of novel retrieval methods. In traditional approaches users or hired evaluators provide manual assessments of releva
Externí odkaz:
https://doaj.org/article/e1b920f711f24d58917dfd642bd38ad0
Publikováno v:
Genes; Volume 14; Issue 6; Pages: 1250
The likelihood of being diagnosed with thyroid cancer has increased in recent years; it is the fastest-expanding cancer in the United States and it has tripled in the last three decades. In particular, Papillary Thyroid Carcinoma (PTC) is the most co
Publikováno v:
Logic Journal of the IGPL. 31:271-286
Matrices that cannot be handled using conventional clustering, regression or classification methods are often found in every big data research area. In particular, datasets with thousands or millions of rows and less than a hundred columns regularly
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783031078019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60227923992170f005fbf5a76dbacfba
https://doi.org/10.1007/978-3-031-07802-6_8
https://doi.org/10.1007/978-3-031-07802-6_8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030617042
HAIS
HAIS
Several research areas are being faced with data matrices that are not suitable to be managed with traditional clustering, regression, or classification strategies. For example, biological so-called omic problems present models with thousands or mill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca47b1462db51c6596ee4dce90545a06
https://doi.org/10.1007/978-3-030-61705-9_15
https://doi.org/10.1007/978-3-030-61705-9_15
Publikováno v:
Applied Soft Computing. 69:749-770
Enabling effective information search is an increasing problem, as technology enhances the ability to publish information rapidly, and large quantities of information are instantly available for retrieval. In this scenario, topical search is the proc
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
One of the main problems being faced at the time of performing data clustering consists in the deteremination of the best clustering method together with defining the ideal amount (k) of groups in which these data should be separated. In this paper,
Autor:
Julieta Sol Dussaut, Ignacio Ponzoni, Rocío L. Cecchini, Cristian Andrés Gallo, Jessica Andrea Carballido
Publikováno v:
Current Bioinformatics. 13:64-72
Background: We are living in an era that is in general characterized by a lot of data but little information. An enormous amount of biological data collected over several years is now presented as annotations and databases. In this context, all this
Autor:
Jessica Andrea Carballido, Ignacio Ponzoni, Julieta Sol Dussaut, Rocío L. Cecchini, Cristian Andrés Gallo
Publikováno v:
Biosystems. 150:1-12
Detection of crosstalks among pathways is a challenging task, which requires the identification of different types of interactions associated with cellular processes. A common strategy used in bioinformatics consists in extrapolating pathway associat