Výsledky vyhledávání - "Classification accuracies"

Akademický článek

Choosing a method for predicting economic performance of companies

Autor: J. Dvořáček, R. Sousedíková, M. Řepka, L. Domaracká, P. Barták, M. Bartošíková

Publikováno v: Metalurgija, Vol 51, Iss 4, Pp 525-528 (2012)

This paper reports on the efforts to find a method for predicting economic results of companies. The input data files consist of 93 profitable companies and 93 bankrupt firms. From the total number of 93 firms in both categories, data of 72 firms ser

Externí odkaz: https://doaj.org/article/657b3b29bef7434b8b504cb5a7de9f75

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Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective

Autor: Dimitrios Tsaopoulos, Christos Kokkotis, Elpiniki I. Papageorgiou, Serafeim Moustakidis, Eirini Christodoulou, Nikolaos Papandrianos

Publikováno v: Quantum Machine Intelligence. 1:73-86

Osteoarthritis is the most common form of arthritis in the knee that comes with a variation in symptoms’ intensity, frequency and pattern. Knee OA (KOA) is often diagnosed using invasive and expensive methods that can measure changes in joint morph

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e75740140b6af5ca3e094c172b34b887
https://doi.org/10.1007/s42484-019-00008-3

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Land cover mapping capability of multispectral thermal data: The TASI-600 case study

Autor: Maria Francesca Carfora, Stefano Pignatti, Simone Pascucci, Angelo Palombo, Federico Santini

Publikováno v: IEEE whispers, 2013
info:cnr-pdr/source/autori:Carfora, M. F.; Palombo, A.; Pascucci, S.; Pignatti, S.; Santini, F./congresso_nome:IEEE whispers/congresso_luogo:/congresso_data:2013/anno:2017/pagina_da:/pagina_a:/intervallo_pagine
WHISPERS
IEEE Whispers 2013, Gainesville, FL, June 2013
info:cnr-pdr/source/autori:M. F. Carfora, A. Palombo, S. Pascucci, S. Pignatti and F. Santini/congresso_nome:IEEE Whispers 2013/congresso_luogo:Gainesville, FL/congresso_data:June 2013/anno:2013/pagina_da:/pagina_a:/intervallo_pagine

This study shows the land cover mapping accuracy retrievable by the TASI-600 thermal airborne multispectral sensor and describes some of the classification results tested on the thermal preprocessed data for a rural area. In the paper is provided an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0a46085558aef509a966fc36a9e66ba

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Choosing a method for predicting economic performance of companies

Autor: Dvořáček, Jaroslav, Sousedíková, Radmila, Řepka, Michal, Domaracká, Lucia, Barták, Pavel, Bartošíková, Michaela

Publikováno v: Metalurgija, Vol 51, Iss 4, Pp 525-528 (2012)

This paper reports on the eff orts to fi nd a method for predicting economic results of companies. The input data fi les consist of 93 profi table companies and 93 bankrupt fi rms. From the total number of 93 fi rms in both categories, data of 72 fi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b7ea5a4307f63c886aa3efbc1a51c8eb
http://hrcak.srce.hr/file/123401

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