UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 1.536

Sortiert nach

Incremental permutation feature importance (iPFI): towards online explanations on data streams

Machine learning, 2023-12, Vol.112 (12), p.4863-4903

2023

Volltextzugriff (PDF)

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses

BMC bioinformatics, 2020-10, Vol.21 (1), p.430-430, Article 430

2020

Volltextzugriff (PDF)

The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approach

Frontiers in big data, 2024-03, Vol.7, p.1298029-1298029

Méndez-Astudillo, Jorge

2024

Volltextzugriff (PDF)

Gaseous emission spectroscopy for equivalence ratio determination in a thermoacoustic combustor

IEEE sensors journal, 2023-06, Vol.23 (12), p.1-1

2023

Volltextzugriff (PDF)

Prediction of Aptamer Protein Interaction Using Random Forest Algorithm

IEEE access, 2022, Vol.10, p.49677-49687

2022

Volltextzugriff (PDF)

Particle swarm optimization based artificial neural network (PSO-ANN) model for effective k-barrier count intrusion detection system in WSN

Measurement. Sensors, 2023-10, Vol.29, p.100875, Article 100875

2023

Volltextzugriff (PDF)

Development of a stacked ensemble model for forecasting and analyzing daily average PM2.5 concentrations in Beijing, China

The Science of the total environment, 2018-09, Vol.635, p.644-658

2018

Volltextzugriff (PDF)

A Novel Default Risk Prediction and Feature Importance Analysis Technique for Marketplace Lending using Machine Learning

Credit and capital markets (Berlin), 2023, Vol.56 (1), p.27-62

2023

Volltextzugriff (PDF)

Machine Learning: New Ideas and Tools in Environmental Science and Engineering

Environmental science & technology, 2021-10, Vol.55 (19), p.12741-12754, Article acs.est.1c01339

2021

Volltextzugriff (PDF)

A novel hybrid feature selection method based on dynamic feature importance

Applied soft computing, 2020-08, Vol.93, p.106337, Article 106337

2020

Volltextzugriff (PDF)

A combination-based machine learning algorithm estimating impacts of social, economic, and environmental on resident health—on China’s provincial panel data

Engineering applications of artificial intelligence, 2023-08, Vol.123, p.106135, Article 106135

2023

Volltextzugriff (PDF)

Industry return prediction via interpretable deep learning

European journal of operational research, 2024-08

2024

Volltextzugriff (PDF)

Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete

Construction & building materials, 2021-01, Vol.266, p.121117, Article 121117

2021

Volltextzugriff (PDF)

Explanation of machine learning models using shapley additive explanation and application for real data in hospital

Computer methods and programs in biomedicine, 2022-02, Vol.214, p.106584-106584, Article 106584

2022

Volltextzugriff (PDF)

A dependable hybrid machine learning model for network intrusion detection

Journal of information security and applications, 2023-02, Vol.72, p.103405, Article 103405

2023

Volltextzugriff (PDF)

Exploring the potential of land surface phenology and seasonal cloud free composites of one year of Sentinel-2 imagery for tree species mapping in a mountainous region

International journal of applied earth observation and geoinformation, 2021-02, Vol.94, p.102208, Article 102208

2021

Volltextzugriff (PDF)

Data-driven estimation of building energy consumption with multi-source heterogeneous data

Applied energy, 2020-06, Vol.268, p.114965, Article 114965

2020

Volltextzugriff (PDF)

Visualizing the Feature Importance for Black Box Models

Machine Learning and Knowledge Discovery in Databases, p.655-670

Volltextzugriff (PDF)

Tensile strength prediction of steel sheets: an insight into data-driven models, dimensionality reduction, and feature importance

Modelling and simulation in materials science and engineering, 2024-10, Vol.32 (7), p.75004

2024

Volltextzugriff (PDF)

Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production

Fuel (Guildford), 2023-09, Vol.347, p.128467, Article 128467

2023

Volltextzugriff (PDF)

Advancement of capacitive deionization propelled by machine learning approach

Separation and purification technology, 2025-02, Vol.354, p.129423, Article 129423

2025

Volltextzugriff (PDF)

Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest

Engineering applications of artificial intelligence, 2023-03, Vol.119, p.105730, Article 105730

2023

Volltextzugriff (PDF)

Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions

Journal of computer-aided molecular design, 2020-10, Vol.34 (10), p.1013-1026

2020

Volltextzugriff (PDF)

Machine learning-driven prediction of phosphorus adsorption capacity of biochar: Insights for adsorbent design and process optimization

Journal of environmental management, 2024-10, Vol.369, p.122405, Article 122405

2024

Volltextzugriff (PDF)

Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree

Expert systems with applications, 2022-03, Vol.190, p.116202, Article 116202

2022

Volltextzugriff (PDF)

1 – 25 von 1.536

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(1.063)
Mit Volltextzugriff
(1.315)

Publikationsform

Artikel
(1.016)
Tagungsberichte
(368)
Buchkapitel
(142)
Bücher
(10)

Sprache

2 weitere anzeigen...

Weniger anzeigen...

Erscheinungsjahr

n.n

Thema

Science & Technology
(1.049)
Feature Importance
(837)
Technology
(763)
Machine Learning
(642)
Computer Science
(468)
Engineering
(389)
Life Sciences & Biomedicine
(311)
Feature Extraction
(270)
Algorithms
(242)
Physical Sciences
(235)
Feature Selection
(228)
Computer Science, Artificial Intelligence
(213)
Engineering, Electrical & Electronic
(191)
Random Forest
(186)
Computer Science, Information Systems
(181)
Artificial Intelligence
(153)
Classification
(153)
Datasets
(151)
Neural Networks
(140)
Support Vector Machines
(132)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

Incremental permutation feature importance (iPFI): towards online explanations on data streams

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses

The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approach

Gaseous emission spectroscopy for equivalence ratio determination in a thermoacoustic combustor

Prediction of Aptamer Protein Interaction Using Random Forest Algorithm

Particle swarm optimization based artificial neural network (PSO-ANN) model for effective k-barrier count intrusion detection system in WSN

Development of a stacked ensemble model for forecasting and analyzing daily average PM2.5 concentrations in Beijing, China

A Novel Default Risk Prediction and Feature Importance Analysis Technique for Marketplace Lending using Machine Learning

Machine Learning: New Ideas and Tools in Environmental Science and Engineering

A novel hybrid feature selection method based on dynamic feature importance

A combination-based machine learning algorithm estimating impacts of social, economic, and environmental on resident health—on China’s provincial panel data

Industry return prediction via interpretable deep learning

Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete

Explanation of machine learning models using shapley additive explanation and application for real data in hospital

A dependable hybrid machine learning model for network intrusion detection

Exploring the potential of land surface phenology and seasonal cloud free composites of one year of Sentinel-2 imagery for tree species mapping in a mountainous region

Data-driven estimation of building energy consumption with multi-source heterogeneous data

Visualizing the Feature Importance for Black Box Models

Tensile strength prediction of steel sheets: an insight into data-driven models, dimensionality reduction, and feature importance

Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production

Advancement of capacitive deionization propelled by machine learning approach

Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest

Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions

Machine learning-driven prediction of phosphorus adsorption capacity of biochar: Insights for adsorbent design and process optimization

Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree

Suchergebnisse filtern