Christoforos Anagnostopoulos

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 9

Top Topics

Active Learning

Boltzmann Machines

Functional Connectivity

Quadratic Discriminant Analysis

Top Venues

Pattern Recognit. Lett.

Publications

David J. Hand, Christoforos Anagnostopoulos
Notes on the H-measure of classifier performance. Adv. Data Anal. Classif. 17 (1) (2023)
David J. Hand, Christoforos Anagnostopoulos
Notes on the H-measure of classifier performance. CoRR (2021)
Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana
Adaptive regularization for Lasso models in the context of nonstationary data streams. Stat. Anal. Data Min. 11 (5) (2018)
Ricardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods. Frontiers Comput. Neurosci. 11 (2017)
Romy Lorenz, Ricardo Pio Monti, Adam Hampshire, Yury Koush, Christoforos Anagnostopoulos, Aldo A. Faisal, David J. Sharp, Giovanni Montana, Robert Leech, Inês R. Violante
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization. PRNI (2016)
Romy Lorenz, Ricardo Pio Monti, Inês R. Violante, Christoforos Anagnostopoulos, Aldo A. Faisal, Giovanni Montana, Robert Leech
The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage 129 (2016)
Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana
A framework for adaptive regularization in streaming Lasso models. CoRR (2016)
Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Text-mining the NeuroSynth corpus using Deep Boltzmann Machines. CoRR (2016)
Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Text-mining the neurosynth corpus using deep boltzmann machines. PRNI (2016)
Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
Estimating Optimal Active Learning via Model Retraining Improvement. CoRR (2015)
Ricardo Pio Monti, Romy Lorenz, Peter Hellyer, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data. PRNI (2015)
Ricardo Pio Monti, Peter Hellyer, David J. Sharp, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana
Estimating time-varying brain connectivity networks from functional MRI time series. NeuroImage 103 (2014)
Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
Targeting Optimal Active Learning via Example Quality. CoRR (2014)
David J. Hand, Christoforos Anagnostopoulos
A better Beta for the H measure of classification performance. Pattern Recognit. Lett. 40 (2014)
Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
When does Active Learning Work? CoRR (2014)
Christoforos Anagnostopoulos, Robert B. Gramacy
Information-Theoretic Data Discarding for Dynamic Trees on Data Streams. Entropy 15 (12) (2013)
David J. Hand, Christoforos Anagnostopoulos
When is the area under the receiver operating characteristic curve an appropriate measure of classifier performance? Pattern Recognit. Lett. 34 (5) (2013)
Lewis P. G. Evans, Niall M. Adams, Christoforos Anagnostopoulos
When Does Active Learning Work? IDA (2013)
Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, Nicos G. Pavlidis, David J. Hand
Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification. Stat. Anal. Data Min. 5 (2) (2012)
David J. Hand, Christoforos Anagnostopoulos
A better Beta for the H measure of classification performance CoRR (2012)
Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos, David J. Hand
Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring. COMPSTAT (2010)
Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand
Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks. Comput. J. 53 (9) (2010)
Christoforos Anagnostopoulos, Dimitris K. Tasoulis, Niall M. Adams, David J. Hand
Temporally adaptive estimation of logistic classifiers on data streams. Adv. Data Anal. Classif. 3 (3) (2009)
Christoforos Anagnostopoulos, Niall M. Adams
Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms. UKSim (2008)
Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand
Deciding what to observe next: adaptive variable selection for regression in multivariate data streams. SAC (2008)
Christoforos Anagnostopoulos, Dimitris K. Tasoulis, David J. Hand, Niall M. Adams
Online optimization for variable selection in data streams. ECAI (2008)