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C. Anagnostopoulos · SciRah

Researcher profile · Semantic Scholar

C. Anagnostopoulos

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C. Anagnostopoulos — researcher profile on SciRah

h-index: 15
Works: 39
Citations: 1,405

Most-cited papers

Sure independence screening for ultrahigh dimensional feature space Discussion
P. Bickel, P. Bühlmann, Q. Yao, R. Samworth +37 more
2008428 citations
Semantic Scholar
Estimating time-varying brain connectivity networks from functional MRI time series
R. P. Monti, Peter J Hellyer, D. Sharp, R. Leech +2 more
2013NeuroImage183 citations Open access
Semantic Scholar
When Does Active Learning Work?
Lewis P. G. Evans, N. Adams, C. Anagnostopoulos
2013International Symposium on Intelligent Data Analysis124 citations Open access
Semantic Scholar
When is the area under the receiver operating characteristic curve an appropriate measure of classifier performance?
D. Hand, C. Anagnostopoulos
2013Pattern Recognition Letters109 citations
Semantic Scholar
The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI
R. Lorenz, R. P. Monti, I. Violante, C. Anagnostopoulos +3 more
2015NeuroImage88 citations Open access
Semantic Scholar
A better Beta for the H measure of classification performance
D. Hand, C. Anagnostopoulos
2012Pattern Recognition Letters77 citations Open access
Semantic Scholar
Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification
C. Anagnostopoulos, D. Tasoulis, N. Adams, N. G. Pavlidis +1 more
2012Statistical analysis and data mining61 citations
Semantic Scholar
Financial time series modeling using the Hurst exponent
Spilios Tzouras, C. Anagnostopoulos, E. McCoy
201539 citations
Semantic Scholar
Real-time estimation of dynamic functional connectivity networks
R. P. Monti, R. Lorenz, Rodrigo M. Braga, C. Anagnostopoulos +2 more
2016Human Brain Mapping33 citations Open access
Semantic Scholar
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization
R. Lorenz, R. P. Monti, I. Violante, Aldo A. Faisal +3 more
201533 citations
Semantic Scholar
Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring
N. Adams, D. Tasoulis, C. Anagnostopoulos, D. Hand
2010International Conference on Computational Statistics23 citations
Semantic Scholar
Learning population and subject-specific brain connectivity networks via Mixed Neighborhood Selection
R. P. Monti, C. Anagnostopoulos, G. Montana
201521 citations Open access
Semantic Scholar
Notes on the H-measure of classifier performance
David J. Hand, C. Anagnostopoulos
2021Advances in Data Analysis and Classification20 citations Open access
Semantic Scholar
Online optimization for variable selection in data streams
C. Anagnostopoulos, D. Tasoulis, D. Hand, N. Adams
2008European Conference on Artificial Intelligence19 citations Open access
Semantic Scholar
Temporally adaptive estimation of logistic classifiers on data streams
C. Anagnostopoulos, D. Tasoulis, N. Adams, D. Hand
2009Advances in Data Analysis and Classification16 citations
Semantic Scholar
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization
R. Lorenz, R. P. Monti, A. Hampshire, Y. Koush +6 more
2016International Workshop on Pattern Recognition in NeuroImaging14 citations Open access
Semantic Scholar
Adaptive regularization for Lasso models in the context of nonstationary data streams
R. P. Monti, C. Anagnostopoulos, G. Montana
2016Statistical analysis and data mining14 citations Open access
Semantic Scholar
Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods
R. P. Monti, R. Lorenz, Peter J Hellyer, R. Leech +2 more
2017Frontiers in Computational Neuroscience11 citations Open access
Semantic Scholar
Deciding what to observe next: adaptive variable selection for regression in multivariate data streams
C. Anagnostopoulos, N. Adams, D. Hand
2008ACM Symposium on Applied Computing11 citations
Semantic Scholar
Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data
R. P. Monti, R. Lorenz, Peter J Hellyer, R. Leech +2 more
2015International Workshop on Pattern Recognition in NeuroImaging10 citations Open access
Semantic Scholar
Effect of long term enzyme replacement therapy in late onset Pompe disease: A single-centre experience.
G. Papadimas, C. Anagnostopoulos, S. Xirou, H. Michelakakis +4 more
2020Neuromuscular Disorders9 citations
Semantic Scholar
Information-Theoretic Data Discarding for Dynamic Trees on Data Streams
C. Anagnostopoulos, R. Gramacy
2013Entropy9 citations Open access
Semantic Scholar
Weakly Supervised Learning: How to Engineer Labels for Machine Learning in Cyber-Security
C. Anagnostopoulos
2018Security Science and Technology8 citations
Semantic Scholar
Text-mining the neurosynth corpus using deep boltzmann machines
R. P. Monti, R. Lorenz, R. Leech, C. Anagnostopoulos +1 more
2016International Workshop on Pattern Recognition in NeuroImaging7 citations Open access
Semantic Scholar
Dynamic trees for streaming and massive data contexts
C. Anagnostopoulos, R. Gramacy
20127 citations
Semantic Scholar
Comparing first hitting time and proportional hazards regression models
D. Stogiannis, C. Caroni, C. Anagnostopoulos, I. Toumpoulis
20117 citations
Semantic Scholar
Estimating Optimal Active Learning via Model Retraining Improvement
Lewis P. G. Evans, N. Adams, C. Anagnostopoulos
2015arXiv.org6 citations
Semantic Scholar
Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks
C. Anagnostopoulos, N. Adams, D. Hand
2010Computer/law journal5 citations
Semantic Scholar
Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms (Invited Paper)
C. Anagnostopoulos, N. Adams
2008International Conference on Modelling and Simulation4 citations
Semantic Scholar
A framework for adaptive regularization in streaming Lasso models
R. P. Monti, C. Anagnostopoulos, G. Montana
2016arXiv.org3 citations
Semantic Scholar
Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces
R. P. Monti, R. Lorenz, C. Anagnostopoulos, R. Leech +1 more
20153 citations
Semantic Scholar
Measuring classification performance : the hmeasure package
C. Anagnostopoulos
20191 citations
Semantic Scholar
Estimating and simulating multiple related functional connectivity networks via the MNS Package
R. P. Monti, C. Anagnostopoulos, G. Montana
20151 citations
Semantic Scholar
Streaming regularization parameter selection via stochastic gradient descent
R. P. Monti, R. Lorenz, R. Leech, C. Anagnostopoulos +1 more
20151 citations
Semantic Scholar
Bertrand Paradoxes and Kolmogorov's Foundations of the Theory of Probability.
C. Anagnostopoulos
20061 citations
Semantic Scholar
P114 The automatic neuroscientist: Tailoring tACS using real-time fMRI and Bayesian optimization
R. Lorenz, R. P. Monti, A. Hampshire, Y. Koush +6 more
20170 citations
Semantic Scholar
Targeting Optimal Active Learning via Example Quality
Lewis P. G. Evans, N. Adams, C. Anagnostopoulos
2014arXiv.org0 citations
Semantic Scholar
Dynamic trees for online analysis of massive data
C. Anagnostopoulos, R. Gramacy
20110 citations
Semantic Scholar
Learning Probabilistic Relational Models in the context of reverse engineering genetic networks
C. Anagnostopoulos
20040 citations
Semantic Scholar

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