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Expert‐level automated malaria diagnosis on routine blood films with deep neural networks

American journal of hematology, 2020-08, Vol.95 (8), p.883-891

2020

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Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings

1, 2004

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A review of optimization methodologies in support vector machines

Neurocomputing (Amsterdam), 2011-10, Vol.74 (17), p.3609-3618

2011

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Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

PloS one, 2019-02, Vol.14 (2), p.e0212778-e0212778

2019

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Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks

Scientific reports, 2022-09, Vol.12 (1), p.16286-16286, Article 16286

2022

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PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses

Entropy (Basel, Switzerland), 2021-10, Vol.23 (10), p.1330

2021

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Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

Frontiers in physiology, 2021-09, Vol.12, p.730908-730908

2021

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A Tutorial on Canonical Correlation Methods

ACM computing surveys, 2018-11, Vol.50 (6), p.1-33

2018

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Parsimonious test of dynamic interaction

Ecology and evolution, 2019-02, Vol.9 (4), p.1654-1664

2019

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Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding

Scientific reports, 2015-10, Vol.5 (1), p.14629-14629, Article 14629

2015

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The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation

Implementation science : IS, 2017-10, Vol.12 (1), p.121-121, Article 121

2017

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Corrigendum: Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

Frontiers in physiology, 2022-01, Vol.12, p.790998-790998

2022

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Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires

Bioinformatics (Oxford, England), 2017-04, Vol.33 (7), p.951-955

2017

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Manifold-preserving graph reduction for sparse semi-supervised learning

Neurocomputing (Amsterdam), 2014-01, Vol.124, p.13-21

2014

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Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning

PloS one, 2012-01, Vol.7 (1), p.e30412-e30412

2012

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Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine

NeuroImage (Orlando, Fla.), 2011-10, Vol.58 (3), p.793-804

2011

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Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus)

PloS one, 2012-11, Vol.7 (11), p.e49120-e49120

2012

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Estimating the Support of a High-Dimensional Distribution

Neural computation, 2001-07, Vol.13 (7), p.1443-1471

2001

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Network topological determinants of pathogen spread

Scientific reports, 2022-05, Vol.12 (1), p.7692-13, Article 7692

2022

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Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing

Monthly notices of the Royal Astronomical Society, 2010-07, Vol.405 (3), p.2044-2061

2010

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Linear Programming Boosting via Column Generation

Machine learning, 2002-01, Vol.46 (1-3), p.225-254

2002

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Convergence analysis of kernel Canonical Correlation Analysis: theory and practice

Machine learning, 2009-01, Vol.74 (1), p.23-38

2009

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Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression

PloS one, 2015-08, Vol.10 (8), p.e0134668-e0134668

2015

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Neural prediction of higher-order auditory sequence statistics

NeuroImage (Orlando, Fla.), 2011-02, Vol.54 (3), p.2267-2277

2011

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From fear to action: AI governance and opportunities for all

Frontiers in computer science (Lausanne), 2023, Vol.5

2023

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Expert‐level automated malaria diagnosis on routine blood films with deep neural networks

Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings

A review of optimization methodologies in support vector machines

Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks

PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses

Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

A Tutorial on Canonical Correlation Methods

Parsimonious test of dynamic interaction

Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding

The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation

Corrigendum: Predicting T Cell Receptor Antigen Specificity From Structural Features Derived From Homology Models of Receptor-Peptide-Major Histocompatibility Complexes

Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires

Manifold-preserving graph reduction for sparse semi-supervised learning

Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning

Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine

Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus)

Estimating the Support of a High-Dimensional Distribution

Network topological determinants of pathogen spread

Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing

Linear Programming Boosting via Column Generation

Convergence analysis of kernel Canonical Correlation Analysis: theory and practice

Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression

Neural prediction of higher-order auditory sequence statistics

From fear to action: AI governance and opportunities for all

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