Christoforos Anagnostopoulos

26 papers A 1B 1Misc 1Journal 18Unranked 5

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