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20 734 (0,44s)

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Machine learning approaches on the bankruptcy modeling: Altman z-score, Neural Net, and Catboost Classifier models

Main topics of the document: Altman z-score; Machine Learning; Neural Net; CatBoost Classifier models...

Statistics and probability

  • 2024
  • B
  • Link
Result

Profiling of drug shipments and couriers

on how to classify the shipment or courier based on the value of the resulting score. If the score is higher, the object is classified as positive; if the object does not reach the threshold score, it is ...

Statistics and probability

  • 2023
  • R
Result

Best classification algorithms in peer-to-peer lending

Main topics of the document: classification; classifiers' ranking; credit scoring; Lending Club; P2P lending...

Finance

  • 2020
  • Jimp
  • Link
Result

3D face recognition based on the hierarchical score-level fusion classifiers

This paper describes the 3D face recognition algorithm that is based on the hierarchical score-level fusion classifiers. In a simple (unimodal) biometric pipeline on the iso-geodesic curves. The final score-level fusion is ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2014
  • D
  • Link
Result

Optimal Strategies for Reject Option Classifiers

score from examples for an arbitrary black-box classifier. We prove that bothIn classification with a reject option, the classifier is allowed in uncertain classifier requires the rejection cost to be defined expl...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • Jimp
  • Link
Result

Classifying and Scoring Major Depressive Disorders by Residual Neural Networks on Specific Frequencies and Brain Regions

based on a Brain-Computer Interface (BCI) to classify and score depressive patients (ResNets) based on electroencephalogram (EEG) monitoring are presented for classifying depression (classifier) and for scorin...

Biological sciences

  • 2023
  • Jimp
  • Link
Result

Rgtsp: a generalized top scoring pairs package for class prediction

A top scoring pair (TSP) classifier consists of a pair of variables whose relative ordering can be used for accurately predicting the class label of a sample. This classification rule has the advantage of being easily interpretable ...

FP - Ostatní lékařské obory

  • 2011
  • Jx
  • Link
Result

Analysis of Linear Scoring of Conformation Traits in Czech Draught Horses

at scoring, breed, contemporary group (year of scoring x place of scoring x classifier group (year of scoring x place of scoring x classifier) were found.The analysis of linear scori...

GI - Šlechtění a plemenářství hospodářských zvířat

  • 2016
  • D
  • Link
Result

Exploiting Temporal Context in High-Resolution Movement-Related EEG Classification

development classification which improves the classification score of voluntary movements (HMM) classifier specifically designed to capture EEG temporal behavior was used. Surprisingly, HMM classifiers are rarely used for ...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2011
  • Jx
  • Link
Result

Experiment with Evaluation of Quality of the Synthetic Speech by the GMM Classifier

evaluation scores are compared with the results obtained by the conventional listening tests based on the mean opinion score (MOS) evaluations. Results of evaluations......

JD - Využití počítačů, robotika a její aplikace

  • 2013
  • D
  • Link
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