I. Rezek

发表

Learning interaction dynamics with coupled hidden Markov models

S. Roberts, I. Rezek, P. Sykacek, 2000 .

Estimation of coupled hidden Markov models with application to biosignal interaction modelling

S. Roberts, I. Rezek, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

Minimum entropy data partitioning

S. Roberts, I. Rezek, R. Everson, 1999 .

Stochastic complexity measures for physiological signal analysis

I. Rezek, S. Roberts, 1998, IEEE Transactions on Biomedical Engineering.

Automated assessment of vigilance using committees of radial basis function analysers

S. Roberts, I. Rezek, R. Everson, 2000 .

Multivariate Biomedical Signal Processing

I. Rezek, 2006 .

IncreasingDepth of Anesthesia Assessment Better Higher-Order Statistics with Generative Polyspectral Models

S. Roberts, I. Rezek, R. Conradt, 2007 .

Increasing the depth of anesthesia assessment.

S. Roberts, I. Rezek, R. Conradt, 2007, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Understanding Heterogeneity in Clinical Cohorts Using Normative Models: Beyond Case-Control Studies

I. Rezek, C. Beckmann, J. Buitelaar, 2016, Biological Psychiatry.

Models of Disease Spectra

I. Rezek, C. Beckmann, 2012, 1207.4674.

Local Quantum Computing for Fast Probably MAP Inference in Graphical Models

S. Roberts, I. Rezek, C. Fox, 2007 .

Constrained Mixture Models for Asset Returns Modelling

I. Rezek, 2011, 1103.2670.

Unsupervised Data Partitioning: a Bayesian Approach

I. Rezek, ApproachStephen J. Roberts, Will PennyNeural, 2007 .

ENSEMBLE HIDDEN MARKOVMODELS FOR BIOSIGNAL ANALYSIS

S. Roberts, I. Rezek, 2008 .

Gaussian Process Segmentation of Co-Moving Animals

Steven Reece, Stephen J. Roberts, Richard P. Mann, 2011 .

Maritime abnormality detection using Gaussian processes

S. Roberts, I. Rezek, S. Reece, 2014, Knowledge and Information Systems.

Bayesian Approaches to Gaussian Mixture Modeling

William D. Penny, Stephen J. Roberts, Dirk Husmeier, 1998, IEEE Trans. Pattern Anal. Mach. Intell..

Fast transient networks in spontaneous human brain activity

Stephen M Smith, Mark Woolrich, Matthew J Brookes, 2014, eLife.

Inferring social network structure in ecological systems from spatio-temporal data streams

Iead Rezek, Ioannis Psorakis, Ben C Sheldon, 2012, Journal of The Royal Society Interface.

Bayesian one-mode projection for dynamic bipartite graphs pdf

Stephen J. Roberts, Iead Rezek, Ioannis Psorakis, 2012, ArXiv.

Voting Power : A Generalised Framework pdf

Iead Rezek, Sreejith Das, I. Rezek, 2012, ArXiv.

Depth of anaesthesia assessment with generative polyspectral models

Stephen J. Roberts, Iead Rezek, R. Conradt, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

Executive Functions and Prefrontal Cortex: A Matter of Persistence?

Federico E. Turkheimer, Iead Rezek, Gareth Ball, 2011, Front. Syst. Neurosci..

Tracking Ica For Eye-Movement Artefact Removal

Richard M. Everson, Stephen J. Roberts, Iead Rezek, 1999 .

Artifact processing of the sleep EEG in the "SIESTA"-project

Gert Pfurtscheller, Stephen J. Roberts, Georg Dorffner, 1999 .

Temporal and spatial complexity measures for electroencephalogram based brain-computer interfacing

S. J. Roberts, W. Penny, I. Rezek, 2006, Medical & Biological Engineering & Computing.

Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals

Stephen J. Roberts, Iead Rezek, Peter Sykacek, 2003, AISTATS.

Dynamic state allocation for MEG source reconstruction

Hamid Reza Mohseni, Mark W. Woolrich, Matthew J. Brookes, 2013, NeuroImage.

Ensemble Hidden Markov Models with Extended Observation Densities for Biosignal Analysis

Stephen J. Roberts, Iead Rezek, S. Roberts, 2005 .

Online Maritime Abnormality Detection Using Gaussian Processes and Extreme Value Theory

Steven Reece, Stephen J. Roberts, Mark Smith, 2012, 2012 IEEE 12th International Conference on Data Mining.

Maximum certainty data partitioning

Stephen J. Roberts, Iead Rezek, Richard Everson, 2000, Pattern Recognit..

Positional entropy during pigeon homing II: navigational interpretation of Bayesian latent state models.

Stephen Roberts, Iead Rezek, Dora Biro, 2004, Journal of theoretical biology.

Bayes Consistent Classification of EEG Data by Approximate Marginalization

Stephen J. Roberts, Iead Rezek, Peter Sykacek, 2005 .

An automatic, continuous and probabilistic sleep stager based on a hidden markov model

Georg Dorffner, Arthur Flexer, Peter Sykacek, 2002, Appl. Artif. Intell..

A Probabilistic Approach to High-Resolution Sleep Analysis

Stephen J. Roberts, Georg Dorffner, Arthur Flexer, 2001, ICANN.

Using hidden Markov models to build an automatic, continuous and probabilistic sleep stager

Georg Dorffner, Arthur Flexer, Iead Rezek, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Positional entropy during pigeon homing I: application of Bayesian latent state modelling.

Stephen Roberts, Iead Rezek, Dora Biro, 2004, Journal of theoretical biology.

EEG-based assessment of anaesthetic depth using neural networks

Stephen J. Roberts, Iead Rezek, M. Krkic, 1996 .

Efficient Statistical Performance Modeling for Autonomic, Service-Oriented Systems

Rui Zhang, Alan Bivens, Iead Rezek, 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

Author response: Fast transient networks in spontaneous human brain activity

Mark W. Woolrich, Matthew J. Brookes, Iead Rezek, 2014 .

An Operator Interpretation of Message Passing

I. Rezek, 2008 .

Maximum a Posteriori Estimation of Coupled Hidden Markov Models

Stephen J. Roberts, Iead Rezek, Michael Gibbs, 2002, J. VLSI Signal Process..