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Machine learning algorithms

Determining the Most Important Physiological and Agronomic Traits Contributing to Maize Grain Yield through Machine Learning Algorithms: A New Avenue in Intelligent Agriculture

Avat Shekoofa, Yahya Emam, [ ... ], Esmaeil Ebrahimie

Supervised Learning Classification Models for Prediction of Plant Virus Encoded RNA Silencing Suppressors

Zeenia Jagga, Dinesh Gupta

Understanding the Underlying Mechanism of HA-Subtyping in the Level of Physic-Chemical Characteristics of Protein

Mansour Ebrahimi, Parisa Aghagolzadeh, [ ... ], Esmaeil Ebrahimie

Fast k-NNG Construction with GPU-Based Quick Multi-Select

Ivan Komarov, Ali Dashti, Roshan M. D'Souza

A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI

Elizabeth M. Sweeney, Joshua T. Vogelstein, [ ... ], Russell T. Shinohara

A Systematic Comparison of Supervised Classifiers

Diego Raphael Amancio, Cesar Henrique Comin, [ ... ], Luciano da Fontoura Costa

The Exploration-Exploitation Dilemma: A Multidisciplinary Framework

Oded Berger-Tal, Jonathan Nathan, Ehud Meron, David Saltz

One-Hot Vector Hybrid Associative Classifier for Medical Data Classification

Abril Valeria Uriarte-Arcia, Itzamá López-Yáñez, Cornelio Yáñez-Márquez

Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones

Carlos Medrano, Raul Igual, Inmaculada Plaza, Manuel Castro

SMART: Unique Splitting-While-Merging Framework for Gene Clustering

Rui Fa, David J. Roberts, Asoke K. Nandi

Composing Problem Solvers for Simulation Experimentation: A Case Study on Steady State Estimation

Stefan Leye, Roland Ewald, Adelinde M. Uhrmacher

Parallel Clustering Algorithm for Large-Scale Biological Data Sets

Minchao Wang, Wu Zhang, [ ... ], Jiang Xie

A Comparison of Supervised Classification Methods for the Prediction of Substrate Type Using Multibeam Acoustic and Legacy Grain-Size Data

David Stephens, Markus Diesing

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