Ivo Couckuyt

Ghent University

Belgium

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Articles (11)

Bayesian Optimization for Microwave Devices Using Deep GP Spectral Surrogate Models

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Year:

2023

Cost-Aware Active Learning for Feasible Region Identification

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Year:

2023

A combined data-driven, experimental and modelling approach for assessing the optimal composition of impregnation products for cementitious materials

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Year:

2023

Bayesian Active Learning for Radiation Pattern Sampling Over Cylindrical Surfaces

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Year:

2022

A Robust Bayesian Optimization Framework for Microwave Circuit Design under Uncertainty

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Year:

2022

Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions

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Year:

2022

A robust multi-objective Bayesian optimization framework considering input uncertainty

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Year:

2022

Automated software defect detection and identification in vehicular embedded systems

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Year:

2022

Patient activity recognition using radar sensors and machine learning

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Year:

2022

SAMURAI: A New Asynchronous Bayesian Optimization Technique for Optimization-Under-Uncertainty

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Year:

2022

Split BiRNN for real-time activity recognition using radar and deep learning

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Year:

2022

Collaborators (4)

Dries Vande Ginste

Ghent University

BELGIUM

Inneke Van Nieuwenhuyse

Full Professor

Universiteit Hasselt

BELGIUM

Domenico Spina

Professor

Vrije Universiteit Brussel

BELGIUM

Tom Dhaene

Full Professor

Imec

BELGIUM

Ivo Couckuyt

Research Interests

Explore related searches

Contact this professor

Articles (11)

Bayesian Optimization for Microwave Devices Using Deep GP Spectral Surrogate Models

Cost-Aware Active Learning for Feasible Region Identification

A combined data-driven, experimental and modelling approach for assessing the optimal composition of impregnation products for cementitious materials

Bayesian Active Learning for Radiation Pattern Sampling Over Cylindrical Surfaces

A Robust Bayesian Optimization Framework for Microwave Circuit Design under Uncertainty

Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions

A robust multi-objective Bayesian optimization framework considering input uncertainty

Automated software defect detection and identification in vehicular embedded systems

Patient activity recognition using radar sensors and machine learning

SAMURAI: A New Asynchronous Bayesian Optimization Technique for Optimization-Under-Uncertainty

Split BiRNN for real-time activity recognition using radar and deep learning

Collaborators (4)

Dries Vande Ginste

Inneke Van Nieuwenhuyse

Domenico Spina

Tom Dhaene

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