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Maximum Likelihood DOA Estimator Based on Particle Filtering

2007 International Conference on Machine Learning and Cybernetics, 2007, Vol.5, p.2442-2445

2007

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Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis

PloS one, 2020-04, Vol.15 (4), p.e0228059-e0228059

2020

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QuicK-means: accelerating inference for K-means by learning fast transforms

Machine learning, 2021-05, Vol.110 (5), p.881-905

2021

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Predictive modeling in a steelmaking process using optimized relevance vector regression and support vector regression

Annals of operations research, 2022-09, Vol.316 (2), p.905-926

2022

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A hybrid deep kernel incremental extreme learning machine based on improved coyote and beetle swarm optimization methods

Complex & intelligent systems, 2021-12, Vol.7 (6), p.3015-3032

2021

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Coal Spontaneous Combustion Temperature Prediction Based on Fuzzy Combined Kernel Relevance Vector Machine

Mathematical problems in engineering, 2022-07, Vol.2022, p.1-10

2022

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Multi-kernel optimized relevance vector machine for probabilistic prediction of concrete dam displacement

Engineering with computers, 2021-07, Vol.37 (3), p.1943-1959

2021

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Reduced-Kernel Weighted Extreme Learning Machine Using Universum Data in Feature Space (RKWELM-UFS) to Handle Binary Class Imbalanced Dataset Classification

Symmetry (Basel), 2022-02, Vol.14 (2), p.379

2022

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Error Estimations for Total Variation Type Regularization

Mathematics (Basel), 2021-06, Vol.9 (12), p.1373

2021

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Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling

Environmental science and pollution research international, 2022-10, Vol.29 (47), p.71555-71582

2022

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Domain adaption based on source dictionary regularized RKHS subspace learning

Pattern analysis and applications : PAA, 2021-11, Vol.24 (4), p.1513-1532

2021

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A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups

Engineering with computers, 2022-08, Vol.38 (4), p.3439-3461

2022

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Machine learning lattice constants from ionic radii and electronegativities for cubic perovskite A2XY6 compounds

Physics and chemistry of minerals, 2020-09, Vol.47 (9)

2020

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LGBM: An Intrusion Detection Scheme for Resource-Constrained End Devices in Internet of Things

Security and communication networks, 2022-10, Vol.2022, p.1-12

2022

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Hybrid Data-Driven Polyaxial Rock Strength Meta Model

Rock mechanics and rock engineering, 2023-08, Vol.56 (8), p.5993-6007

Fathipour-Azar, Hadi

2023

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A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment

Neural computing & applications, 2022, Vol.34 (1), p.783-812

2022

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Machine learning the magnetocaloric effect in manganites from lattice parameters

Applied physics. A, Materials science & processing, 2020, Vol.126 (5), Article 341

2020

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Suitability assessment of different vector machine regression techniques for blast-induced ground vibration prediction in Ghana

Modeling earth systems and environment, 2022-03, Vol.8 (1), p.897-909

2022

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Application of Random Forest and ICON Models Combined with Weather Forecasts to Predict Soil Temperature and Water Content in a Greenhouse

Water (Basel), 2020-04, Vol.12 (4), p.1176

2020

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Fe-Based Superconducting Transition Temperature Modeling through Gaussian Process Regression

Journal of low temperature physics, 2021, Vol.202 (1-2), p.205-218

2021

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An Estimation of Ship Collision Risk Based on Relevance Vector Machine

Journal of marine science and engineering, 2021-05, Vol.9 (5), p.538

2021

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A review of soft computing techniques in predicting the compressive strength of concrete and the future scope

Innovative infrastructure solutions : the official journal of the Soil-Structure Interaction Group in Egypt (SSIGE), 2023-06, Vol.8 (6), Article 176

2023

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Design of optical meta-structures with applications to beam engineering using deep learning

Scientific reports, 2020-11, Vol.10 (1), p.19923-19923, Article 19923

2020

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Stability Analysis of Rock Slope Based on Improved Principal Component Analysis Model: Taking Fuwushan Slope as an Example

Geofluids, 2021-08, Vol.2021, p.1-10

2021

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Forecasting tunnel geology, construction time and costs using machine learning methods

Neural computing & applications, 2021, Vol.33 (1), p.321-348

2021

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Maximum Likelihood DOA Estimator Based on Particle Filtering

Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expression analysis

QuicK-means: accelerating inference for K-means by learning fast transforms

Predictive modeling in a steelmaking process using optimized relevance vector regression and support vector regression

A hybrid deep kernel incremental extreme learning machine based on improved coyote and beetle swarm optimization methods

Coal Spontaneous Combustion Temperature Prediction Based on Fuzzy Combined Kernel Relevance Vector Machine

Multi-kernel optimized relevance vector machine for probabilistic prediction of concrete dam displacement

Reduced-Kernel Weighted Extreme Learning Machine Using Universum Data in Feature Space (RKWELM-UFS) to Handle Binary Class Imbalanced Dataset Classification

Error Estimations for Total Variation Type Regularization

Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling

Domain adaption based on source dictionary regularized RKHS subspace learning

A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups

Machine learning lattice constants from ionic radii and electronegativities for cubic perovskite A2XY6 compounds

LGBM: An Intrusion Detection Scheme for Resource-Constrained End Devices in Internet of Things

Hybrid Data-Driven Polyaxial Rock Strength Meta Model

A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment

Machine learning the magnetocaloric effect in manganites from lattice parameters

Suitability assessment of different vector machine regression techniques for blast-induced ground vibration prediction in Ghana

Application of Random Forest and ICON Models Combined with Weather Forecasts to Predict Soil Temperature and Water Content in a Greenhouse

Fe-Based Superconducting Transition Temperature Modeling through Gaussian Process Regression

An Estimation of Ship Collision Risk Based on Relevance Vector Machine

A review of soft computing techniques in predicting the compressive strength of concrete and the future scope

Design of optical meta-structures with applications to beam engineering using deep learning

Stability Analysis of Rock Slope Based on Improved Principal Component Analysis Model: Taking Fuwushan Slope as an Example

Forecasting tunnel geology, construction time and costs using machine learning methods

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