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M. P. Maradona

dblp:81/5555 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1996
0000-0001-9202-3856ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author

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
2 papers
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 › microbiology
microbial identification		 0.021996
Software for microbial fingerprinting by means of the infrared spectra · Comput. Appl. Biosci. 1996
Integrated software for probabilistic identification of microorganisms · Comput. Appl. Biosci. 1994

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

spectral library matching · 0.0probability matrices · 0.0bayes theorem · 0.0
YearPublicationVenuePosition
1996 Software for microbial fingerprinting by means of the infrared spectra
abstract
Two computer programs were designed for helping in library handling and microbial identification by means of their infrared spectra. The program 'Transform' runs in the IR Data Manager environment and produces ASCII files containing transformed data from infrared absorbance spectra. The program 'WinSpectra' is written in Visual Basic v. 3.0. It imports the ASCII files created with 'Transform', and is able to handle, analyse and identify them by their mathematical comparison with a library of microbial spectra. Both programs run in graphical, menu-driven interface (GEM and MS Windows, for IBM-PC compatibles, with extensive on-line help.
M. P. Maradona
 Comput. Appl. Biosci.1
1994 Integrated software for probabilistic identification of microorganisms
abstract
A computer program has been designed to carry out microbial identification using probability matrices along with the Bayes theorem. When implementing the system the main considerations have been flexibility, user-friendliness and integration of identification coefficients and mathematical tests of matrices. The program has been developed in QuickBASIC for PC/MS-DOS operating systems and presents a menu-driven structure that aims to facilitate its use.
M. P. Maradona
 Comput. Appl. Biosci.1