Christoforos Anagnostopoulos

According to our database, Christoforos Anagnostopoulos authored at least 22 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Notes on the H-measure of classifier performance.

David J. Hand, Christoforos Anagnostopoulos

Adv. Data Anal. Classif., March, 2023

2018

Adaptive regularization for Lasso models in the context of nonstationary data streams.

Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana

Stat. Anal. Data Min., 2018

2017

Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods.

Ricardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana

Frontiers Comput. Neurosci., 2017

2016

The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI.

Romy Lorenz, Ricardo Pio Monti, Inês R. Violante, Christoforos Anagnostopoulos, Aldo A. Faisal, Giovanni Montana, Robert Leech

NeuroImage, 2016

A framework for adaptive regularization in streaming Lasso models.

Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana

CoRR, 2016

Text-mining the neurosynth corpus using deep boltzmann machines.

Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization.

Romy Lorenz, Ricardo Pio Monti, Adam Hampshire, Yury Koush, Christoforos Anagnostopoulos, Aldo A. Faisal, David J. Sharp, Giovanni Montana, Robert Leech, Inês R. Violante

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2015

Estimating Optimal Active Learning via Model Retraining Improvement.

Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos

CoRR, 2015

Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data.

Ricardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

2014

A better Beta for the H measure of classification performance.

David J. Hand, Christoforos Anagnostopoulos

Pattern Recognit. Lett., 2014

Estimating time-varying brain connectivity networks from functional MRI time series.

Ricardo Pio Monti, Peter Hellyer, David J. Sharp, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana

NeuroImage, 2014

Targeting Optimal Active Learning via Example Quality.

Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos

CoRR, 2014

2013

When is the area under the receiver operating characteristic curve an appropriate measure of classifier performance?

David J. Hand, Christoforos Anagnostopoulos

Pattern Recognit. Lett., 2013

Information-Theoretic Data Discarding for Dynamic Trees on Data Streams.

Christoforos Anagnostopoulos, Robert B. Gramacy

Entropy, 2013

When Does Active Learning Work?

Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2012

Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification.

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, David J. Hand

Stat. Anal. Data Min., 2012

2010

Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks.

Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand

Comput. J., 2010

Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring.

Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos, David J. Hand

Proceedings of the 19th International Conference on Computational Statistics, 2010

2009

Temporally adaptive estimation of logistic classifiers on data streams.

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand

Adv. Data Anal. Classif., 2009

2008

Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms.

Christoforos Anagnostopoulos, Niall M. Adams

Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008

Deciding what to observe next: adaptive variable selection for regression in multivariate data streams.

Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Online optimization for variable selection in data streams.

Christoforos Anagnostopoulos, Dimitris K. Tasoulis, David J. Hand, Niall M. Adams

Proceedings of the ECAI 2008, 2008