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MMM classification error in SMS4dads – technical report

Critical steps in an environmental metaproteomics workflow

Evaluating teachers’ effectiveness in classrooms: an ML-based assessment portfolio

External Validation of the Joint-Specific Bone Involvement, Antimicrobial Options, Coverage of the Soft Tissues, and Host Status (JS-BACH) Classification for Predicting Outcome in Periprosthetic Joint Infections: A Cohort of 653 Patients

Application of inclined channels in the hydrodynamic classification of minerals by particle size

Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review

Degradation of cephalexin toxicity in non-clinical environment using zinc oxide nanoparticles synthesized in Momordica charantia extract; Numerical prediction models and deep learning classification

A Novel Method for Improving the Robustness of Deep Learning-Based Malware Detectors Against Adversarial Attacks

Accelerating Code Search with Deep Hashing and Code Classification

International Consensus Recommendations for Eosinophilic Gastrointestinal Disease Nomenclature

New challenges for gravity concentration and classification of fine particles

Predicting Deflagration and Detonation in Detonation Tube

The Wagiman Landscape: Mental Maps and Prototypes

  • Creator: Harvey, Mark
  • Resource Type: journal article
  • Date: 2022

A classification of the abelian minimal closed normal subgroups of locally compact second-countable groups

An analysis of Blessed Friday sale at a retail store using classification models

Automatic recognition of specific local cortical folding patterns

Early Detection of Under-Performing Students Using Machine Learning Algorithms

How to make use of unlabeled observations in species distribution modeling using point process models

Integration of hard and soft supervised machine learning for flood susceptibility mapping

Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management

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