Gavin Brown 0001 - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 30 from 30

2022

Bias-Variance Decompositions for Margin LossesDanny Wood, Tingting Mu, Gavin Brown 0001. aistats 2022: 1975-2001 [doi]

2020

2019

2018

Toward an Understanding of Adversarial Examples in Clinical TrialsKonstantinos Papangelou, Konstantinos Sechidis, James Weatherall, Gavin Brown 0001. pkdd 2019: 35-51 [doi]

Diversity and degrees of freedom in regression ensemblesHenry W. J. Reeve, Gavin Brown 0001. ijon, 298:55-68, 2018. [doi]

The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with CovariatesHenry W. J. Reeve, Joe Mellor, Gavin Brown 0001. alt 2018: 725-752 [doi]

Modular Dimensionality ReductionHenry W. J. Reeve, Tingting Mu, Gavin Brown 0001. pkdd 2019: 605-619 [doi]

Simple strategies for semi-supervised feature selectionKonstantinos Sechidis, Gavin Brown 0001. ml, 107(2):357-395, 2018. [doi]

Distinguishing prognostic and predictive biomarkers: an information theoretic approachKonstantinos Sechidis, Konstantinos Papangelou, Paul D. Metcalfe, David Svensson, James Weatherall, Gavin Brown 0001. bioinformatics, 34(19):3365-3376, 2018. [doi]

Distinguishing prognostic and predictive biomarkers: an information theoretic approachKonstantinos Sechidis, Konstantinos Papangelou, Paul D. Metcalfe, David Svensson, James Weatherall, Gavin Brown 0001. bioinformatics, 34(23):4139, 2018. [doi]

2017

Exploring the consequences of distributed feature selection in DNA microarray dataVerónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown 0001. ijcnn 2017: 1665-1672 [doi]

Boosting Java Performance Using GPGPUsJames Clarkson, Christos Kotselidis, Gavin Brown 0001, Mikel Luján. arcs 2017: 59-70 [doi]

Mutual information for improving the efficiency of the SCH algorithmDiego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown 0001. esann 2017: [doi]

Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub HumanoidMarco Melis, Ambra Demontis, Battista Biggio, Gavin Brown 0001, Giorgio Fumera, Fabio Roli. iccvw 2017: 751-759 [doi]

Gradient Boosting Models for Photovoltaic Power Estimation Under Partial Shading ConditionsNikolaos Nikolaou, Efstratios Batzelis, Gavin Brown 0001. pkdd 2017: 13-25 [doi]

On the Use of Spearman's Rho to Measure the Stability of Feature RankingsSarah Nogueira, Konstantinos Sechidis, Gavin Brown 0001. ibpria 2017: 381-391 [doi]

On the Stability of Feature Selection AlgorithmsSarah Nogueira, Konstantinos Sechidis, Gavin Brown 0001. jmlr, 18, 2017. [doi]

Degrees of Freedom in Regression EnsemblesHenry W. J. Reeve, Gavin Brown 0001. esann 2017: [doi]

Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighboursHenry W. J. Reeve, Gavin Brown 0001. alt (empty year): 11-56 [doi]

Dealing with under-reported variables: An information theoretic solutionKonstantinos Sechidis, Matthew Sperrin, Emily Petherick, Mikel Luján, Gavin Brown 0001. ijar, 85:159-177, 2017. [doi]

2016

2013

ManTIME: Temporal expression identification and normalization in the TempEval-3 challengeMichele Filannino, Gavin Brown 0001, Goran Nenadic. semeval 2013: 53-57 [doi]

2004

Diversity in neural network ensemblesGavin Brown 0001. PhD thesis, University of Birmingham, UK, 2004. [doi]

Sign in or sign up to see more results.

runs on WebDSL