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José Carlos Ferreira da Rocha

dblp:57/5682 · DBLP profile ↗
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6ranked-venue papers
3as first author
0since 2021 · last 2018
0000-0002-4050-281XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 3 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
MALDI-TOF mass spectrometry
0.312018
Ribopeaks: a web tool for bacterial classification through m/z data from ribosomal proteins · Bioinform. 2018

Methods — techniques the papers use, named apart from their topics

machine learning · 0.3
YearPublicationVenuePosition
2018 Ribopeaks: a web tool for bacterial classification through m/z data from ribosomal proteins
abstract
Summary: MALDI-TOF MS is a rapid, sensitive and economic tool for bacterial identification. Highly abundant bacterial proteins are detected by this technique, including ribosomal proteins (r-protein), and the generated mass spectra are compared with a MALDI-TOF MS spectra database. Currently, it allows mainly the classification of clinical bacteria due to the limited number of environmental bacteria included in the spectra database. We present a wide-ranging bacterium classifier tool, called Ribopeaks, which was created based on r-protein data from the Genbank. The Ribopeaks database has more than 28 500 bacterial taxonomic records. It compares the incoming m/z data from MALDI-TOF MS analysis with models stored in the Ribopeaks database created by machine learning and then taxonomically classifies the bacteria. Availability and implementation: The software is available at http://www.ribopeaks.com. Supplementary information: Supplementary data are available at Bioinformatics online.
Douglas Tomachewski, Carolina Weigert Galvão, Arion de Campos Júnior, Alaine Margarete Guimarães, José Carlos Ferreira da Rocha, Rafael Mazer Etto
Bioinform.5
2008 Probabilistic logic with independence
Fábio G. Cozman, Cassio P. de Campos, José Carlos Ferreira da Rocha
Int. J. Approx. Reason.3
2005 Inference in credal networks: branch-and-bound methods and the A/R+ algorithm
José Carlos Ferreira da Rocha, Fábio G. Cozman
Int. J. Approx. Reason.1
2004 Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat
Fábio G. Cozman, Cassio P. de Campos, Jaime Shinsuke Ide, José Carlos Ferreira da Rocha
UAI4
2003 Inference in Polytrees with Sets of Probabilities
José Carlos Ferreira da Rocha, Fábio G. Cozman, Cassio P. de Campos
UAI1
2002 Inference with Seperately Specified Sets of Probabilities in Credal Networks
José Carlos Ferreira da Rocha, Fábio G. Cozman
UAI1