Centre for Computational Statistics and Machine Learning

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#	Title	Journal	Year	Citations
1	PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments	Bioinformatics	2012	686
2	PRoNTo: Pattern Recognition for Neuroimaging Toolbox	Neuroinformatics	2013	367
3	Sparse canonical correlation analysis	Machine Learning	2011	185
4	Sparse network-based models for patient classification using fMRI	NeuroImage	2015	151
5	Using Subspace-Based Template Attacks to Compare and Combine Power and Electromagnetic Information Leakages	Lecture Notes in Computer Science	2008	128
6	The Variational Gaussian Approximation Revisited	Neural Computation	2009	119
7	Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine	NeuroImage	2011	112
8	Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression	Bipolar Disorders	2012	71
9	Local online kernel ridge regression for forecasting of urban travel times	Transportation Research Part C: Emerging Technologies	2014	60
10	SCoRS—A Method Based on Stability for Feature Selection and Mapping in Neuroimaging	IEEE Transactions on Medical Imaging	2014	57
11	Sparse Network-Based Models for Patient Classification Using fMRI		2013	54
12	Convergence analysis of kernel Canonical Correlation Analysis: theory and practice	Machine Learning	2009	51
13	Eyetracking Metrics in Young Onset Alzheimer’s Disease: A Window into Cognitive Visual Functions	Frontiers in Neurology	2017	50
14	Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation	PLoS Computational Biology	2009	44
15	The role of the subgenual anterior cingulate cortex in dorsomedial prefrontal–amygdala neural circuitry during positive‐social emotion regulation	Human Brain Mapping	2020	43
16	Automated, High Accuracy Classification of Parkinsonian Disorders: A Pattern Recognition Approach	PLoS ONE	2013	39
17	Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation	Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences	2013	37
18	Probabilistic prediction of neurological disorders with a statistical assessment of neuroimaging data modalities	Annals of Applied Statistics	2012	32
19	Decoding negative affect personality trait from patterns of brain activation to threat stimuli	NeuroImage	2017	30
20	Online Learning with (Multiple) Kernels: A Review	Neural Computation	2013	28
21	The Human Behaviour-Change Project: An artificial intelligence system to answer questions about changing behaviour	Wellcome Open Research	2020	25
22	Can Emotional and Behavioral Dysregulation in Youth Be Decoded from Functional Neuroimaging?	PLoS ONE	2016	18
23	Decomposing the tensor kernel support vector machine for neuroscience data with structured labels	Machine Learning	2010	17
24	Markov Chain Monte Carlo Methods for State-Space Models with Point Process Observations	Neural Computation	2012	15
25	Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis	Machine Learning	2012	14
26	Kernel ellipsoidal trimming	Computational Statistics and Data Analysis	2007	13
27	Regularized Sparse Kernel Slow Feature Analysis	Lecture Notes in Computer Science	2011	8
28	Correction to “SCoRS—A Method Based on Stability for Feature Selection and Mapping in Neuroimaging” [Jan 14 85-98]	IEEE Transactions on Medical Imaging	2014	3
29	A kernel regression framework for SMT	Machine Translation	2010	2
30	Multivariate Bandits and Their Applications	International Federation for Information Processing	2010	2
31	A New Feature Selection Method Based on Stability Theory – Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data	Lecture Notes in Computer Science	2012	2
32	Trends and perspectives in music cognition research and technology	Connection Science	2009	1

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