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Using machine learning-based variable selection to identify hydrate related components from FT-ICR MS spectra

PloS one, 2022-08, Vol.17 (8), p.e0273084-e0273084

2022

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Increased interpretation of deep learning models using hierarchical cluster-based modelling

PloS one, 2023-12, Vol.18 (12), p.e0295251-e0295251

2023

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Current overview and way forward for the use of machine learning in the field of petroleum gas hydrates

Fuel (Guildford), 2023-02, Vol.334, p.126696, Article 126696

2023

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Metamodelling of a two-population spiking neural network

PLoS computational biology, 2023-11, Vol.19 (11), p.e1011625-e1011625

2023

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Crude Oil Density Prediction Improved by Multiblock Analysis of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier Transform Infrared, and Near-Infrared Spectroscopy Data

Applied spectroscopy, 2023-10, Vol.77 (10), p.1138-1152

2023

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Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data

IEEE transactions on biomedical engineering, 2018-12, Vol.65 (12), p.2769-2780

2018

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IEEE_Xplore

Morphological Heterogeneity in Pancreatic Cancer Reflects Structural and Functional Divergence

Cancers, 2021-02, Vol.13 (4), p.895

2021

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A comparison of early redo surgery rates in Mosaic porcine and Perimount bovine pericardial valves

European journal of cardio-thoracic surgery, 2018-10, Vol.54 (4), p.724-728

2018

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Grayscale representation of infrared microscopy images by extended multiplicative signal correction for registration with histological images

Journal of biophotonics, 2020-08, Vol.13 (8), p.e201960223-n/a

2020

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Deep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra

Communications chemistry, 2022-12, Vol.5 (1), p.175-175, Article 175

2022

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Quantifying inter‐species differences in contractile function through biophysical modelling

The Journal of physiology, 2015-03, Vol.593 (5), p.1083-1111

2015

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Global structure of sloppiness in a nonlinear model

Journal of chemometrics, 2014-08, Vol.28 (8), p.645-655

2014

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Analyzing complex mathematical model behavior by partial least squares regression-based multivariate metamodeling

Wiley interdisciplinary reviews. Computational statistics, 2014-11, Vol.6 (6), p.440-475

2014

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Hierarchical multivariate regression-based sensitivity analysis reveals complex parameter interaction patterns in dynamic models

Chemometrics and intelligent laboratory systems, 2013-01, Vol.120, p.25-41

2013

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Screening design for computer experiments: metamodelling of a deterministic mathematical model of the mammalian circadian clock

Journal of chemometrics, 2010-11, Vol.24 (11-12), p.738-747

2010

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Insight into model mechanisms through automatic parameter fitting: a new methodological framework for model development

BMC systems biology, 2014-05, Vol.8 (1), p.59-59

2014

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Increased interpretation of deep learning models using hierarchical cluster-based modelling

PloS one, 2023-01, Vol.18 (12)

2023

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A computational pipeline for quantification of mouse myocardial stiffness parameters

Computers in biology and medicine, 2014-10, Vol.53, p.65-75

2014

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Multi-level binary replacement (MBR) design for computer experiments in high-dimensional nonlinear systems

Journal of chemometrics, 2010-11, Vol.24 (11-12), p.748-756

2010

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Prediction of Homology Model Quality with Multivariate Regression

Journal of Chemical Information and Computer Sciences, 2004-09, Vol.44 (5), p.1540-1551

Tondel, Kristin

2004

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Deep convolutional neural network recovers pure absorbance spectra from highly scatter‐distorted spectra of cells

Journal of biophotonics, 2020-12, Vol.13 (12), p.e202000204-n/a

2020

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Homology-based modelling of targets for rational drug design

Mini reviews in medicinal chemistry, 2004-09, Vol.4 (7), p.793

2004

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Protein Alpha Shape (PAS) Dock: a new gaussian-based score function suitable for docking in homology modelled protein structures

Journal of computer-aided molecular design, 2006-03, Vol.20 (3), p.131-144

2006

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PLS-Based Multivariate Metamodeling of Dynamic Systems

New Perspectives in Partial Least Squares and Related Methods, p.3-30

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Corrigendum to 'A comparison of early redo surgery rates in Mosaic porcine and Perimount bovine pericardial valves' [Eur J Cardiothorac Surg 2018; doi:10.1093/ejcts/ezy113]

European journal of cardio-thoracic surgery, 2018-06, Vol.53 (6), p.1301-1301

2018

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Using machine learning-based variable selection to identify hydrate related components from FT-ICR MS spectra

Increased interpretation of deep learning models using hierarchical cluster-based modelling

Current overview and way forward for the use of machine learning in the field of petroleum gas hydrates

Metamodelling of a two-population spiking neural network

Crude Oil Density Prediction Improved by Multiblock Analysis of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier Transform Infrared, and Near-Infrared Spectroscopy Data

Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data

Morphological Heterogeneity in Pancreatic Cancer Reflects Structural and Functional Divergence

A comparison of early redo surgery rates in Mosaic porcine and Perimount bovine pericardial valves

Grayscale representation of infrared microscopy images by extended multiplicative signal correction for registration with histological images

Deep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra

Quantifying inter‐species differences in contractile function through biophysical modelling

Global structure of sloppiness in a nonlinear model

Analyzing complex mathematical model behavior by partial least squares regression-based multivariate metamodeling

Hierarchical multivariate regression-based sensitivity analysis reveals complex parameter interaction patterns in dynamic models

Screening design for computer experiments: metamodelling of a deterministic mathematical model of the mammalian circadian clock

Insight into model mechanisms through automatic parameter fitting: a new methodological framework for model development

Increased interpretation of deep learning models using hierarchical cluster-based modelling

A computational pipeline for quantification of mouse myocardial stiffness parameters

Multi-level binary replacement (MBR) design for computer experiments in high-dimensional nonlinear systems

Prediction of Homology Model Quality with Multivariate Regression

Deep convolutional neural network recovers pure absorbance spectra from highly scatter‐distorted spectra of cells

Homology-based modelling of targets for rational drug design

Protein Alpha Shape (PAS) Dock: a new gaussian-based score function suitable for docking in homology modelled protein structures

PLS-Based Multivariate Metamodeling of Dynamic Systems

Corrigendum to 'A comparison of early redo surgery rates in Mosaic porcine and Perimount bovine pericardial valves' [Eur J Cardiothorac Surg 2018; doi:10.1093/ejcts/ezy113]

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