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Quantitative analysis of the factors which affect the interpatient organ-at-risk dose sparing variation in IMRT plans

Medical physics (Lancaster), 2012-11, Vol.39 (11), p.6868-6878

2012

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On the benefits of knowledge compilation for feature-model analyses

Annals of mathematics and artificial intelligence, 2023-11

2023

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Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias

NeuroImage (Orlando, Fla.), 2018-02, Vol.166, p.10-18

2018

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Deep video representation learning: a survey

Multimedia tools and applications, 2023-12, Vol.83 (20), p.59195-59225

2023

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Modeling variability in the video domain: language and experience report

Software quality journal, 2019-03, Vol.27 (1), p.307-347

2019

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Learning-based SPARQL query performance modeling and prediction

World wide web (Bussum), 2018-07, Vol.21 (4), p.1015-1035

2018

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Investigation of feature run-time conflicts on goal model-based reuse

Information systems frontiers, 2016-10, Vol.18 (5), p.855-875

2016

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Hidden Unique Possibilities of Mathematical Physics Equations (The Formalism of Skew-Symmetric Forms)

Computational mathematics and modeling, 2022-04, Vol.33 (2), p.121-135

Petrova, L. I.

2022

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Dohko: an autonomic system for provision, configuration, and management of inter-cloud environments based on a software product line engineering method

Cluster computing, 2017-09, Vol.20 (3), p.1951-1976

2017

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Methylene blue analogues: In vitro antimicrobial minimum inhibitory concentrations and in silico pharmacophore modelling

European journal of pharmaceutical sciences, 2021-02, Vol.157, p.105603-105603, Article 105603

2021

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Dimension and tolerance modeling and transformations in feature based design and manufacturing

Journal of intelligent manufacturing, 1998-10, Vol.9 (5), p.475

1998

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Development of a feature-based and object-oriented concurrent engineering system

Journal of intelligent manufacturing, 1994-02, Vol.5 (1), p.23-31

1994

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iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Briefings in bioinformatics, 2020-05, Vol.21 (3), p.1047-1057

2020

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Extending Growth Mixture Model to Assess Heterogeneity in Joint Development With Piecewise Linear Trajectories in the Framework of Individual Measurement Occasions

Psychological methods, 2023-10, Vol.28 (5), p.1029-1051

2023

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Incorporating domain knowledge in machine learning for soccer outcome prediction

Machine learning, 2019-01, Vol.108 (1), p.97-126

2019

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Kinetic modeling and parametric imaging with dynamic PET for oncological applications: general considerations, current clinical applications, and future perspectives

European journal of nuclear medicine and molecular imaging, 2021-01, Vol.48 (1), p.21-39

2021

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Geological Facies modeling based on progressive growing of generative adversarial networks (GANs)

Computational geosciences, 2021-06, Vol.25 (3), p.1251-1273

2021

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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

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A Comprehensive Performance Evaluation of 3D Local Feature Descriptors

International journal of computer vision, 2016-01, Vol.116 (1), p.66-89

2016

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Boosting Poisson regression models with telematics car driving data

Machine learning, 2022, Vol.111 (1), p.243-272

2022

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Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification

Machine learning, 2023-09, Vol.112 (9), p.3455-3471

Brenning, Alexander

2023

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Deep learning and process understanding for data-driven Earth system science

Nature (London), 2019-02, Vol.566 (7743), p.195-204

2019

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A Review of Feature Reduction Techniques in Neuroimaging

Neuroinformatics (Totowa, N.J.), 2014-04, Vol.12 (2), p.229-244

2014

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Applied machine learning to the determination of biochar hydrogen sulfide adsorption capacity

Machine learning, 2024-06, Vol.113 (6), p.3419-3441

2024

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Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning

Transport in porous media, 2020, Vol.131 (2), p.427-448

2020

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Quantitative analysis of the factors which affect the interpatient organ-at-risk dose sparing variation in IMRT plans

On the benefits of knowledge compilation for feature-model analyses

Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias

Deep video representation learning: a survey

Modeling variability in the video domain: language and experience report

Learning-based SPARQL query performance modeling and prediction

Investigation of feature run-time conflicts on goal model-based reuse

Hidden Unique Possibilities of Mathematical Physics Equations (The Formalism of Skew-Symmetric Forms)

Dohko: an autonomic system for provision, configuration, and management of inter-cloud environments based on a software product line engineering method

Methylene blue analogues: In vitro antimicrobial minimum inhibitory concentrations and in silico pharmacophore modelling

Dimension and tolerance modeling and transformations in feature based design and manufacturing

Development of a feature-based and object-oriented concurrent engineering system

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Extending Growth Mixture Model to Assess Heterogeneity in Joint Development With Piecewise Linear Trajectories in the Framework of Individual Measurement Occasions

Incorporating domain knowledge in machine learning for soccer outcome prediction

Kinetic modeling and parametric imaging with dynamic PET for oncological applications: general considerations, current clinical applications, and future perspectives

Geological Facies modeling based on progressive growing of generative adversarial networks (GANs)

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

A Comprehensive Performance Evaluation of 3D Local Feature Descriptors

Boosting Poisson regression models with telematics car driving data

Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification

Deep learning and process understanding for data-driven Earth system science

A Review of Feature Reduction Techniques in Neuroimaging

Applied machine learning to the determination of biochar hydrogen sulfide adsorption capacity

Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning

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