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Epithelial–mesenchymal Transition Biomarkers and Support Vector Machine Guided Model in Preoperatively Predicting Regional Lymph Node Metastasis for Rectal Cancer

British Journal of Cancer

Cancer Research

Oncology

2012

English

Application of Supervised Machine-Learning Methods for Attesting Provenance in Catalan Traditional Pottery Industry

Minerals

Geotechnical Engineering

Engineering Geology

Geology

2019

English

An Exact Extended Formulation for the Unrelated Parallel Machine Total Weighted Completion Time Problem

Journal of Scheduling

Management Science

Engineering

Operations Research

Artificial Intelligence

Software

2016

English

Machine Vision Methods for Estimation of Size Distribution of Aggregate Transported on Conveyor Belts

Vibroengineering Procedia

Control

Systems Engineering

Electronic Engineering

Mechanical Engineering

English

CONSeQuence: Prediction of Reference Peptides for Absolute Quantitative Proteomics Using Consensus Machine Learning Approaches

Molecular and Cellular Proteomics

English

Machine Learning of Global Phosphoproteomic Profiles Enables Discrimination of Direct Versus Indirect Kinase Substrates

Molecular and Cellular Proteomics

English

Artificial Neural Network and Machine Learning Based Methods for Population Estimation of Rohingya Refugees: Comparing Data Driven and Satellite Image Driven Approaches

Vietnam Journal of Computer Science

2019

English

Performance Analysis of Machine Learning Techniques for Smart Agriculture: Comparison of Supervised Classification Approaches

International Journal of Advanced Computer Science and Applications

Computer Science

2020

English

Study on Premixed Combustion of Diesel Spray With High-Pressure Fuel Injection and a Micro-Hole Nozzle Using a Rapid Compression Machine. Improvement of Combustion Using Low Cetane Number Fuel.

Nihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B

Condensed Matter Physics

Mechanical Engineering

1998

English

Regional Tourism Demand Forecasting With Machine Learning Models: Gaussian Process Regression vs. Neural Network Models in a Multiple-Input Multiple-Output Setting

SSRN Electronic Journal

2017

English

Amanote Research

Discover open access scientific publications

Search, annotate, share and cite publications

Epithelial–mesenchymal Transition Biomarkers and Support Vector Machine Guided Model in Preoperatively Predicting Regional Lymph Node Metastasis for Rectal Cancer

Application of Supervised Machine-Learning Methods for Attesting Provenance in Catalan Traditional Pottery Industry

An Exact Extended Formulation for the Unrelated Parallel Machine Total Weighted Completion Time Problem

Machine Vision Methods for Estimation of Size Distribution of Aggregate Transported on Conveyor Belts

CONSeQuence: Prediction of Reference Peptides for Absolute Quantitative Proteomics Using Consensus Machine Learning Approaches

Machine Learning of Global Phosphoproteomic Profiles Enables Discrimination of Direct Versus Indirect Kinase Substrates

Artificial Neural Network and Machine Learning Based Methods for Population Estimation of Rohingya Refugees: Comparing Data Driven and Satellite Image Driven Approaches

Performance Analysis of Machine Learning Techniques for Smart Agriculture: Comparison of Supervised Classification Approaches

Study on Premixed Combustion of Diesel Spray With High-Pressure Fuel Injection and a Micro-Hole Nozzle Using a Rapid Compression Machine. Improvement of Combustion Using Low Cetane Number Fuel.

Regional Tourism Demand Forecasting With Machine Learning Models: Gaussian Process Regression vs. Neural Network Models in a Multiple-Input Multiple-Output Setting