benoit liquet

Macquarie University

Australia

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Articles (25)

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2021

Collaborators (20)

Liisa Kautto

Macquarie University

AUSTRALIA

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Jon Lawrence

Macquarie University

AUSTRALIA

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Antonio Di Ieva

Macquarie University

AUSTRALIA

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Amelia Fraser-McKelvie

University of Western Australia

AUSTRALIA

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Houying Zhu

Macquarie University

AUSTRALIA

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Claire Kermorvant

Université de Pau et des Pays de l'Adour

FRANCE

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Morten Thaysen-Andersen

Macquarie University

AUSTRALIA

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Eric Suero Molina

Macquarie University

AUSTRALIA

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Seong Beom Ahn

Macquarie University

AUSTRALIA

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Richard McDermid

Macquarie University

AUSTRALIA

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The Huong Chau

Macquarie University

AUSTRALIA

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Sarat Babu Moka

Macquarie University

AUSTRALIA

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Anthony Pettitt

Emeritus Professor

Queensland University of Technology

AUSTRALIA

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Matthew Sutton

Queensland University of Technology

AUSTRALIA

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Catherine Leigh

AUSTRALIA

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Samuel Muller

Macquarie University

AUSTRALIA

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Luca Cortese

University of Western Australia

AUSTRALIA

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Rob Hyndman

Professor

MONASH UNIVERSITY

AUSTRALIA

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Michael Goodwin

Macquarie University

AUSTRALIA

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Sudipto Banerjee

UNITED STATES

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benoit liquet

Research Interests

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Articles (25)

HEXB Drives Raised Paucimannosylation in Colorectal Cancer and Stratifies Patient Risk

Using a Supervised Principal Components Analysis for Variable Selection in High‐Dimensional Datasets Reduces False Discovery Rates

Nonstationary Spatial Process Models with Spatially Varying Covariance Kernels

Best Subset Solution Path for Linear Dimension Reduction Models Using Continuous Optimization

Spectral library and method for sparse unmixing of hyperspectral images in fluorescence guided resection of brain tumors

Dealing with area‐to‐point spatial misalignment in species distribution models

COMBSS

The SAMI galaxy survey

Investigation of common genetic risk factors between thyroid traits and breast cancer

Deep learning-based hyperspectral image correction and unmixing for brain tumor surgery

Mixture Cure Semiparametric Accelerated Failure Time Models With Partly Interval‐Censored Data

A new method to explicitly estimate the shift of optimum along gradients in multispecies studies

Bayesian networks to predict storm impact using data from both monitoring networks and statistical learning methods

A deep learning super-resolution model to speed up computations of coastal sea states

GCPBayes pipeline

Understanding links between water-quality variables and nitrate concentration in freshwater streams using high frequency sensor data

SMOTE-CD

In-situ measurements of energetic depth-limited wave loading

Estimation of semi-Markov multi-state models

Application of artificial intelligence and radiomics in pituitary neuroendocrine and sellar tumors

Improving performances of MCMC for Nearest Neighbor Gaussian Process models with full data augmentation

Central subspaces review

Leveraging pleiotropic association using sparse group variable selection in genomics data

Reconstructing Missing and Anomalous Data Collected from High-Frequency In-Situ Sensors in Fresh Waters

Multi-index ecoacoustics analysis for terrestrial soundscapes

Collaborators (20)

Liisa Kautto

Jon Lawrence

Antonio Di Ieva

Amelia Fraser-McKelvie

Houying Zhu

Claire Kermorvant

Morten Thaysen-Andersen

Eric Suero Molina

Seong Beom Ahn

Richard McDermid

The Huong Chau

Sarat Babu Moka

Anthony Pettitt

Matthew Sutton

Catherine Leigh

Samuel Muller

Luca Cortese

Rob Hyndman

Michael Goodwin

Sudipto Banerjee

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