Results 241 to 250 of about 490,396 (287)

DH-GarlicNet: a precise identification method for garlic damage based on the improved residual network. [PDF]

Front Plant Sci
He Z, Ma X, Jiang Y, Chen G, Gao Y, Wang X, Qi T, Xia Z.   +7 more
europepmc   +1 more source

HASPNet: a hierarchically attentive signal-preserving network for papaya leaf disease classification with explainable deep learning. [PDF]

Front Artif Intell
Sundara Srivathsan M, Manikandan S, Preethi S, Lighittha PR, Prithivraj S, Mariam S.   +5 more
europepmc   +1 more source

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A Bayesian interpretation of the confusion matrix

Annals of Mathematics and Artificial Intelligence, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Olivier Caelen
openaire   +3 more sources

Rank and response combination from confusion matrix data

Information Fusion, 2001
Abstract The use of prior behavior of a classifier, as measured by the confusion matrix, can yield useful information for merging multiple classifiers. In particular, response vectors can be estimated and a ranking of possible classes can be produced which can allow Borda type reconciliation methods to be applied.
openaire   +3 more sources

Confusion Matrix Analysis for NPS

24th Pan-Hellenic Conference on Informatics, 2020
Net Promoter Score (NPS) is a widely used Customer Experience Metric which when analyzed against specific attributes of experience (e.g., satisfaction associated with call center, website, etc.) leads to a classification problem with an 11×11 confusion matrix. The categorization of customers according to NPS methodology and the calculation of NPS index
Ioannis Markoulidakis, George Kopsiaftis, Ioannis Rallis, Ioannis Georgoulas, Anastasios Doulamis, Nikolaos Doulamis   +5 more
openaire   +1 more source

Phaged and confused by biofilm matrix

Nature Microbiology, 2017
Bacterial biofilms fabricate an extracellular amyloid fibre network that intimately links cells together and inhibits the ability of bacteriophages to penetrate the biofilm.
Janet E, Price, Matthew R, Chapman
openaire   +2 more sources

Confusion Matrix Analysis for Form Perception

Human Factors: The Journal of the Human Factors and Ergonomics Society, 1967
The Constant-Ratio Rule (CRR), an empirical technique for analysis of confusion matrices, was developed for use in predicting intelligibility of speech syllables. This study investigated the validity of the rule when applied to the data from experiments on visual form perception.
R D, Engstrand, G, Moeller
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Confusion Matrix Based Reweighting

2013
This paper introduces a method to rebalance the output of classification algorithms using the corresponding confusion matrices. This is done by modifying the classification output, i.e. reweighting predictions, when they can be interpreted as probabilities.
Vincent Damian Warmerdam, Zoltán Szlávik   +1 more
openaire   +1 more source