Christoforos Anagnostopoulos

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All published works

Action	Title	Year	Authors
+	Notes on the H-measure of classifier performance	2021	David J. Hand Christoforos Anagnostopoulos
+ PDF Chat	Adaptive regularization for Lasso models in the context of nonstationary data streams	2018	Ricardo Pio Monti Christoforos Anagnostopoulos Giovanni Montana
+	Learning population and subject-specific brain connectivity networks via mixed neighborhood selection	2017	Ricardo Pio Monti Christoforos Anagnostopoulos Giovanni Montana
+	A framework for adaptive regularization in streaming Lasso models.	2016	Ricardo Pio Monti Christoforos Anagnostopoulos Giovanni Montana
+	Adaptive regularization for Lasso models in the context of non-stationary data streams	2016	Ricardo Pio Monti Christoforos Anagnostopoulos Giovanni Montana
+ PDF Chat	Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization	2016	Romy Lorenz Ricardo Pio Monti Adam Hampshire Yury Koush Christoforos Anagnostopoulos A. Aldo Faisal David Sharp Giovanni Montana Robert Leech Inês R. Violante
+ PDF Chat	Text-mining the neurosynth corpus using deep boltzmann machines	2016	Ricardo Pio Monti Romy Lorenz Robert Leech Christoforos Anagnostopoulos Giovanni Montana
+	Text-mining the NeuroSynth corpus using Deep Boltzmann Machines	2016	Ricardo Pio Monti Romy Lorenz Robert Leech Christoforos Anagnostopoulos Giovanni Montana
+	The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI	2016	Romy Lorenz Ricardo Pio Monti Inês R. Violante Christoforos Anagnostopoulos A. Aldo Faisal Giovanni Montana Robert Leech
+	Adaptive regularization for Lasso models in the context of non-stationary data streams	2016	Ricardo Pio Monti Christoforos Anagnostopoulos Giovanni Montana
+	Text-mining the NeuroSynth corpus using Deep Boltzmann Machines	2016	Ricardo Pio Monti Romy Lorenz Robert Leech Christoforos Anagnostopoulos Giovanni Montana
+	Learning population and subject-specific brain connectivity networks via Mixed Neighborhood Selection	2015	Ricardo Pio Monti Christoforos Anagnostopoulos Giovanni Montana
+	Graph embeddings of dynamic functional connectivity reveal discriminative patterns of task engagement in HCP data	2015	Ricardo Pio Monti Romy Lorenz Peter J. Hellyer Robert Leech Christoforos Anagnostopoulos Giovanni Montana
+ PDF Chat	Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data	2015	Ricardo Pio Monti Romy Lorenz Peter J. Hellyer Robert Leech Christoforos Anagnostopoulos Giovanni Montana
+	Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces	2015	Ricardo Pio Monti Romy Lorenz Christoforos Anagnostopoulos Robert Leech Giovanni Montana
+	Estimating Optimal Active Learning via Model Retraining Improvement	2015	Lewis P. G. Evans Niall M. Adams Christoforos Anagnostopoulos
+	Streaming regularization parameter selection via stochastic gradient descent	2015	Ricardo Pio Monti Romy Lorenz Robert Leech Christoforos Anagnostopoulos Giovanni Montana
+	Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization	2015	Romy Lorenz Ricardo Pio Monti Inês R. Violante A. Aldo Faisal Christoforos Anagnostopoulos Robert Leech Giovanni Montana
+	Graph embeddings of dynamic functional connectivity reveal discriminative patterns of task engagement in HCP data	2015	Ricardo Pio Monti Romy Lorenz Peter W. Hellyer Robert Leech Christoforos Anagnostopoulos Giovanni Montana
+	Learning population and subject-specific brain connectivity networks via Mixed Neighborhood Selection	2015	Ricardo Pio Monti Christoforos Anagnostopoulos Giovanni Montana
+	Estimating Optimal Active Learning via Model Retraining Improvement	2015	Lewis P. G. Evans Niall M. Adams Christoforos Anagnostopoulos
+	Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces	2015	Ricardo Pio Monti Romy Lorenz Christoforos Anagnostopoulos Robert Leech Giovanni Montana
+ PDF Chat	Estimating time-varying brain connectivity networks from functional MRI time series	2014	Ricardo Pio Monti Peter J. Hellyer David Sharp Robert Leech Christoforos Anagnostopoulos Giovanni Montana
+	When does Active Learning Work	2014	Lewis P. G. Evans Niall M. Adams Christoforos Anagnostopoulos
+	Targeting Optimal Active Learning via Example Quality	2014	Lewis P. G. Evans Niall M. Adams Christoforos Anagnostopoulos
+	When does Active Learning Work?	2014	Lewis Evans Niall M. Adams Christoforos Anagnostopoulos
+ PDF Chat	A better Beta for the H measure of classification performance	2013	David J. Hand Christoforos Anagnostopoulos
+	Estimating Time-varying Brain Connectivity Networks from Functional MRI Time Series	2013	Ricardo Pio Monti Peter J. Hellyer David Sharp Robert Leech Christoforos Anagnostopoulos Giovanni Montana
+ PDF Chat	When Does Active Learning Work?	2013	Lewis P. G. Evans Niall M. Adams Christoforos Anagnostopoulos
+	Estimating Time-varying Brain Connectivity Networks from Functional MRI Time Series	2013	Ricardo Pio Monti Peter W. Hellyer David Sharp Robert Leech Christoforos Anagnostopoulos Giovanni Montana
+	When is the area under the receiver operating characteristic curve an appropriate measure of classifier performance?	2012	David J. Hand Christoforos Anagnostopoulos
+	A better Beta for the H measure of classification performance	2012	David J. Hand Christoforos Anagnostopoulos
+	Dynamic trees for streaming and massive data contexts	2012	Christoforos Anagnostopoulos Robert B. Gramacy
+	A better Beta for the H measure of classification performance	2012	David J. Hand Christoforos Anagnostopoulos
+	Dynamic trees for streaming and massive data contexts	2012	Christoforos Anagnostopoulos Robert B. Gramacy
+	Online optimization for variable selection in data streams	2008	Christoforos Anagnostopoulos Dimitris K. Tasoulis David J. Hand Niall M. Adams
+	Simulating Dynamic Covariance Structures for Testing the Adaptive Behavior of Variable Selection Algorithms (Invited Paper)	2008	Christoforos Anagnostopoulos Niall M. Adams
+	Simulating dynamic covariance structures for testing the adaptive behavior of variable selection algorithms	2008	Christoforos Anagnostopoulos Niall M. Adams
+	Bertrand Paradoxes and Kolmogorov's Foundations of the Theory of Probability.	2006	Christoforos Anagnostopoulos

Common Coauthors

Coauthor	Papers Together
Giovanni Montana	22
Ricardo Pio Monti	22
Robert Leech	15
Romy Lorenz	12
Niall M. Adams	9
David J. Hand	6
Lewis P. G. Evans	5
Peter J. Hellyer	4
A. Aldo Faisal	3
Inês R. Violante	3
David Sharp	3
Robert B. Gramacy	2
Peter W. Hellyer	2
David Sharp	1
Yury Koush	1
Lewis Evans	1
Dimitris K. Tasoulis	1
Adam Hampshire	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	8
+ PDF Chat	Estimating time-varying brain connectivity networks from functional MRI time series	2014	Ricardo Pio Monti Peter J. Hellyer David Sharp Robert Leech Christoforos Anagnostopoulos Giovanni Montana	8
+ PDF Chat	Emergence of Scaling in Random Networks	1999	Albert‐László Barabási Réka Albert	6
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	6
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	5
+ PDF Chat	Pathwise coordinate optimization	2007	Jerome H. Friedman Trevor Hastie Holger Höfling Robert Tibshirani	5
+	The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI	2016	Romy Lorenz Ricardo Pio Monti Inês R. Violante Christoforos Anagnostopoulos A. Aldo Faisal Giovanni Montana Robert Leech	5
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	5
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	4
+ PDF Chat	The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes	2013	Patrick Danaher Pei Wang Daniela Witten	4
+ PDF Chat	The Statistical Analysis of fMRI Data	2008	Martin A. Lindquist	4
+ PDF Chat	The Variable Selection Problem	2000	Edward I. George	3
+	Statistical Methods in Diagnostic Medicine	2011	Xiao‐Hua Zhou Nancy A. Obuchowski Donna K. McClish	3
+	A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning	2010	Eric Brochu Vlad M. Cora Nando de Freitas	3
+ PDF Chat	Scale-Free Brain Functional Networks	2005	Vı́ctor M. Eguı́luz Dante R. Chialvo Guillermo Cecchi Marwan N. Baliki A. Vania Apkarian	3
+	Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models	2010	Han Liu Kathryn Roeder Larry Wasserman	3
+ PDF Chat	Piecewise linear regularized solution paths	2007	Saharon Rosset Ji Zhu	3
+ PDF Chat	Bayesian anomaly detection methods for social networks	2010	Nicholas A. Heard David Weston Kiriaki Platanioti David J. Hand	3
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	2
+ PDF Chat	Learning and comparing functional connectomes across subjects	2013	Gaël Varoquaux R. Cameron Craddock	2
+	The Statistical Evaluation of Medical Tests for Classification and Prediction	2003	Margaret S. Pepe	2
+	Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces	2015	Ricardo Pio Monti Romy Lorenz Christoforos Anagnostopoulos Robert Leech Giovanni Montana	2
+ PDF Chat	Partial Correlation Estimation by Joint Sparse Regression Models	2009	Jie Peng Pei Wang Nengfeng Zhou Ji Zhu	2
+	Construction and Assessment of Classification Rules	1999	Mark R. Wade David J. Hand	2
+	Regularization Paths for Generalized Linear Models via Coordinate Descent.	2010	Jerome H. Friedman Trevor Hastie Rob Tibshirani	2
+	Nonlinear Programming	1995	Dimitri P. Bertsekas	2
+	Generalized Additive Models	2014	Trevor Hastie Robert Tibshirani	2
+	Statistical Learning with Sparsity	2015	Trevor Hastie Robert Tibshirani Martin J. Wainwright	2
+	Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization	2015	Romy Lorenz Ricardo Pio Monti Inês R. Violante A. Aldo Faisal Christoforos Anagnostopoulos Robert Leech Giovanni Montana	2
+ PDF Chat	Forward stagewise regression and the monotone lasso	2007	Trevor Hastie Jonathan Taylor Robert Tibshirani Guenther Walther	2
+ PDF Chat	Controlling the familywise error rate in functional neuroimaging: a comparative review	2003	Thomas E. Nichols Satoru Hayasaka	2
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	2
+	Dynamic reconfiguration of human brain networks during learning	2011	Danielle S. Bassett Nicholas F. Wymbs Mason A. Porter Peter J. Mucha Jean M. Carlson Scott T. Grafton	2
+	The Matrix-Logarithmic Covariance Model	1996	Tom Y. M. Chiu Tom Leonard Kam‐Wah Tsui	2
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	2
+	LOCO: Distributing Ridge Regression with Random Projections	2014	Christina Heinze Brian McWilliams Nicolai Meinshausen Gabriel Krummenacher	2
+ PDF Chat	A Path Algorithm for the Fused Lasso Signal Approximator	2010	Hölger Hoefling	2
+	The Statistical Evaluation of Medical Tests for Classification and Prediction	2005	Margaret S. Pepe	2
+	Assessing the Performance of Classification Methods	2012	David J. Hand	2
+	An Homotopy Algorithm for the Lasso with Online Observations	2008	Pierre Garrigues Laurent El Ghaoui	2
+ PDF Chat	Time varying undirected graphs	2010	Shuheng Zhou John Lafferty Larry Wasserman	2
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	2
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	2
+	Variable Selection for Optimal Decision Making	2007	Lacey Gunter Ji Zhu Susan A. Murphy	2
+	Graphical Models in Applied Multivariate Statistics	1991	Colin Goodall Joe Whittaker	2
+	The Little Bootstrap and other Methods for Dimensionality Selection in Regression: X-Fixed Prediction Error	1992	Leo Breiman	2
+ PDF Chat	<i>L</i>1-Regularization Path Algorithm for Generalized Linear Models	2007	Mee Young Park Trevor Hastie	2
+ PDF Chat	Stability Selection	2010	Nicolai Meinshausen Peter Bühlmann	2
+ PDF Chat	Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)	2000	Jerome H. Friedman Trevor Hastie Robert Tibshirani	1
+	Invariant Prior Distributions	2005	A. P. Dawid	1