Christoforos Anagnostopoulos | DeepAI

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Featured Co-authors

Giovanni Montana
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Robert B. Gramacy
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Ricardo Pio Monti
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Robert Leech
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Romy Lorenz
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Niall M. Adams
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A Aldo Faisal
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David J. Hand
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Lewis P. G. Evans
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Ricardo P Monti
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Ines R Violante
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∙ 10/28/2016

Adaptive regularization for Lasso models in the context of non-stationary data streams

Large scale, streaming datasets are ubiquitous in modern machine learnin...

0 Ricardo Pio Monti, et al. ∙

∙ 05/01/2016

Text-mining the NeuroSynth corpus using Deep Boltzmann Machines

Large-scale automated meta-analysis of neuroimaging data has recently es...

0 Ricardo Pio Monti, et al. ∙

∙ 12/07/2015

Learning population and subject-specific brain connectivity networks via Mixed Neighborhood Selection

In neuroimaging data analysis, Gaussian graphical models are often used ...

0 Ricardo Pio Monti, et al. ∙

∙ 11/24/2015

Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization

Bayesian optimization has been proposed as a practical and efficient too...

0 Romy Lorenz, et al. ∙

∙ 11/06/2015

Streaming regularization parameter selection via stochastic gradient descent

We propose a framework to perform streaming covariance selection. Our ap...

0 Ricardo Pio Monti, et al. ∙

∙ 02/08/2015

Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces

There has been an explosion of interest in functional Magnetic Resonance...

0 Ricardo Pio Monti, et al. ∙

∙ 02/05/2015

Estimating Optimal Active Learning via Model Retraining Improvement

A central question for active learning (AL) is: "what is the optimal sel...

0 Lewis P. G. Evans, et al. ∙

∙ 08/06/2014

When does Active Learning Work?

Active Learning (AL) methods seek to improve classifier performance when...

0 Lewis Evans, et al. ∙

∙ 07/30/2014

Targeting Optimal Active Learning via Example Quality

In many classification problems unlabelled data is abundant and a subset...

0 Lewis P. G. Evans, et al. ∙

∙ 02/12/2012

A better Beta for the H measure of classification performance

The area under the ROC curve is widely used as a measure of performance ...

0 David J. Hand, et al. ∙

∙ 01/26/2012

Dynamic trees for streaming and massive data contexts

Data collection at a massive scale is becoming ubiquitous in a wide vari...

0 Christoforos Anagnostopoulos, et al. ∙