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ORCIDChristoforos Anagnostopoulos
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2020 – today
- 2023
[j11]David J. Hand
, Christoforos Anagnostopoulos:
Notes on the H-measure of classifier performance. Adv. Data Anal. Classif. 17(1): 109-124 (2023)- 2021
- [i7]David J. Hand, Christoforos Anagnostopoulos:
Notes on the H-measure of classifier performance. CoRR abs/2106.11888 (2021)
2010 – 2019
- 2018
- [j10]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): 237-247 (2018) - 2017
- [j9]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: 14 (2017) - 2016
- [j8]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: 320-334 (2016) - [c8]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: 1-4 - [c7]Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana:
Text-mining the neurosynth corpus using deep boltzmann machines. PRNI 2016: 1-4 - [i6]Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana:
Text-mining the NeuroSynth corpus using Deep Boltzmann Machines. CoRR abs/1605.00223 (2016) - [i5]Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana:
A framework for adaptive regularization in streaming Lasso models. CoRR abs/1610.09127 (2016) - 2015
- [c6]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: 1-4 - [i4]Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos:
Estimating Optimal Active Learning via Model Retraining Improvement. CoRR abs/1502.01664 (2015) - 2014
- [j7]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: 427-443 (2014) - [j6]David J. Hand, Christoforos Anagnostopoulos:
A better Beta for the H measure of classification performance. Pattern Recognit. Lett. 40: 41-46 (2014) - [i3]Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos:
Targeting Optimal Active Learning via Example Quality. CoRR abs/1407.8042 (2014) - [i2]Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos:
When does Active Learning Work? CoRR abs/1408.1319 (2014) - 2013
- [j5]Christoforos Anagnostopoulos, Robert B. Gramacy:
Information-Theoretic Data Discarding for Dynamic Trees on Data Streams. Entropy 15(12): 5510-5535 (2013) - [j4]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): 492-495 (2013) - [c5]Lewis Percival Gordon Evans, Niall M. Adams, Christoforos Anagnostopoulos:
When Does Active Learning Work? IDA 2013: 174-185 - 2012
- [j3]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): 139-166 (2012) - [i1]David J. Hand, Christoforos Anagnostopoulos:
A better Beta for the H measure of classification performance. CoRR abs/1202.2564 (2012) - 2010
- [j2]Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand:
Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks. Comput. J. 53(9): 1401-1414 (2010) - [c4]Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos, David J. Hand:
Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring. COMPSTAT 2010: 167-176
2000 – 2009
- 2009
- [j1]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): 243-261 (2009) - 2008
- [c3]Christoforos Anagnostopoulos, Dimitris K. Tasoulis, David J. Hand, Niall M. Adams:
Online optimization for variable selection in data streams. ECAI 2008: 132-136 - [c2]Christoforos Anagnostopoulos, Niall M. Adams, David J. Hand:
Deciding what to observe next: adaptive variable selection for regression in multivariate data streams. SAC 2008: 961-965 - [c1]Christoforos Anagnostopoulos, Niall M. Adams:
Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms. UKSim 2008: 52-57
Coauthor Index
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