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Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization

Journal of global optimization, 2014-11, Vol.60 (3), p.575-594

2014

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Indoor Person Identification Using a Low-Power FMCW Radar

IEEE transactions on geoscience and remote sensing, 2018-07, Vol.56 (7), p.3941-3952

2018

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FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data

Cytometry. Part A, 2015-07, Vol.87 (7), p.636-645

2015

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Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits

Electronics (Basel), 2018-03, Vol.7 (3), p.30

2018

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Wideband parametric baseband macromodeling of linear and passive photonic circuits via complex vector fitting

Scientific reports, 2023-09, Vol.13 (1), p.15407-15407, Article 15407

2023

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Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction

Electronics letters, 2023-09, Vol.59 (18), p.n/a

2023

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Race against the Machine: can deep learning recognize microstructures as well as the trained human eye?

Scripta materialia, 2021-03, Vol.193, p.33-37

2021

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Complex vector fitting toolbox: a software package for the modelling and simulation of general linear and passive baseband systems

Electronics letters, 2021-05, Vol.57 (10), p.404-406

2021

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Towards accurate processing-structure-property links using deep learning

Scripta materialia, 2022-04, Vol.211, p.114478, Article 114478

2022

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

Scientific reports, 2022-05, Vol.12 (1), p.7436-11, Article 7436

2022

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Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning

Sensors (Basel, Switzerland), 2020-10, Vol.20 (21), p.6109

2020

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Bayesian active learning for multi‐objective feasible region identification in microwave devices

Electronics letters, 2021-05, Vol.57 (10), p.400-403

2021

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Bayesian Active Learning for Received Signal Strength-Based Visible Light Positioning

IEEE photonics journal, 2022-12, Vol.14 (6), p.1-8

2022

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NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithms

PloS one, 2014-03, Vol.9 (3), p.e92709-e92709

2014

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Evolutionary Neuro-Space Mapping Technique for Modeling of Nonlinear Microwave Devices

IEEE transactions on microwave theory and techniques, 2011-02, Vol.59 (2), p.213-229

2011

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Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods

BMC medical informatics and decision making, 2015-10, Vol.15 (1), p.83-83, Article 83

2015

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FloReMi: Flow density survival regression using minimal feature redundancy

Cytometry. Part A, 2016-01, Vol.89 (1), p.22-29

2016

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Surrogate-Assisted Evolutionary Algorithm for the Calibration of Distributed Hydrological Models Based on Two-Dimensional Shallow Water Equations

Water (Basel), 2024-03, Vol.16 (5), p.652

2024

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Stochastic collocation for device-level variability analysis in integrated photonics

Photonics research (Washington, DC), 2016-04, Vol.4 (2), p.93-100

2016

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A probabilistic ontology-based platform for self-learning context-aware healthcare applications

Expert systems with applications, 2013-12, Vol.40 (18), p.7629-7646

2013

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Advancements in Iterative Methods for Rational Approximation in the Frequency Domain

IEEE transactions on power delivery, 2007-07, Vol.22 (3), p.1633-1642

2007

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A comparative study of kriging variants for the optimization of a turbomachinery system

Engineering with computers, 2016-01, Vol.32 (1), p.49-59

2016

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A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes

Cytometry. Part A, 2016-01, Vol.89 (1), p.16-21

2016

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Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization

2020 Winter Simulation Conference (WSC), 2020, p.2779-2790

2020

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Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks

IEEE journal of biomedical and health informatics, 2019-11, Vol.23 (6), p.2354-2364

2019

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Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization

Indoor Person Identification Using a Low-Power FMCW Radar

FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data

Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits

Wideband parametric baseband macromodeling of linear and passive photonic circuits via complex vector fitting

Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction

Race against the Machine: can deep learning recognize microstructures as well as the trained human eye?

Complex vector fitting toolbox: a software package for the modelling and simulation of general linear and passive baseband systems

Towards accurate processing-structure-property links using deep learning

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

Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning

Bayesian active learning for multi‐objective feasible region identification in microwave devices

Bayesian Active Learning for Received Signal Strength-Based Visible Light Positioning

NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithms

Evolutionary Neuro-Space Mapping Technique for Modeling of Nonlinear Microwave Devices

Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods

FloReMi: Flow density survival regression using minimal feature redundancy

Surrogate-Assisted Evolutionary Algorithm for the Calibration of Distributed Hydrological Models Based on Two-Dimensional Shallow Water Equations

Stochastic collocation for device-level variability analysis in integrated photonics

A probabilistic ontology-based platform for self-learning context-aware healthcare applications

Advancements in Iterative Methods for Rational Approximation in the Frequency Domain

A comparative study of kriging variants for the optimization of a turbomachinery system

A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes

Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization

Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks

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