PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Simon Colton

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Number of EPrints submitted by this user: 52

QG/GA: A stochastic search for Progol
S Muggleton and A Tamaddoni-Nezhad
Machine Learning Volume 70, Number 2-3, pp. 121-133, 2008.

A general approach for developing system-specific functions to score protein-ligand docked complexes using support vector inductive logic programming
A Amini, P Shrimpton, S Muggleton and M Sternberg
Proteins 2007.

A novel logic-based approach for quantitative toxicology prediction
A Amini, H Lodhi, S Muggleton and M Sternberg
Journal of Chemical Informatics Modelling 2007.

Support vector inductive logic programming outperforms the naive bayes classifier and inductive logic programming for the classification of bioactive chemical compounds
E Cannon, A Amini, A Bender, M Sternberg, S Muggleton, R Glen and J Mitchell
Journal of Computater Aided Molecular Design 2007.

Modeling the effects of toxins in metabolic networks
A Tamaddoni-Nezhad, R Chaleil, A Kakas, M Sternberg, J Nicholson and S Muggleton
IEEE Engineering in Medicine and Biology Volume 26, pp. 37-46, 2007.

The identification of similarities between biological networks: Application to the metabolome and interactome prediction
A Cootes, S Muggleton and M Sternberg
Journal of Molecular Biology Volume 369, Number 4, pp. 1126-1139, 2007.

Exceeding human limits
S Muggleton
Nature Volume 440, Number 7083, pp. 409-410, 2006.

Mathematical applications of inductive logic programming
Colton S and Muggleton S
Machine Learning Volume 64, pp. 25-64, 2006.

Application of abductive ILP to learning metabolic network inhibition from temporal data
A Tamaddoni-Nezhad, R Chaleil, A Kakas and S Muggleton
Machine Learning Volume 64, pp. 209-230, 2006.

Towards Universal Chemical Turing Machines
S Muggleton
In: Twenty-First National Conference on Artificial Intelligence(2006).

Abduction with stochastic logic programs based on a possible worlds semantics
A Arvanitis, S Muggleton, J Chen and H Watanabe
In: 16th International Conference on Inductive Logic Programming(2006).

Multi-class protein fold prediction using stochastic logic programs
J Chen and S Muggleton
In: 16th International Conference on Inductive Logic Programming(2006).

A revised comparison of Bayesian logic programs and stochastic logic programs
J Chen and S Muggleton
In: 16th International Conference on Inductive Logic Programming(2006).

Complexity analysis of abductive action theory
S Muggleton, H Watanabe and K Inoue
In: 16th International Conference on Inductive Logic Programming(2006).

Guest Editorial Special Issue on Mathematical Modeling in Biomedical Image Analysis
D Rueckert and P Golland
IEEE Trans. Med. Imaging Volume 26, Number 9, pp. 1133-1135, 2007.

Automatic anatomical brain MRI segmentation combining label propagation and decision fusion
R Heckemann, J Hajnal, P Aljabar, D Rueckert and A Hammers
NeuroImage Volume 33, Number 1, pp. 115-126, 2006.

A multivariate statistical analysis of the developing human brain in preterm infants
C Thomaz, J Boardman, S Counsell, D Hill, J Hajnal, A Edwards, M Rutherford, D Gillies and D Rueckert
Image and Vision Computing Volume 25, Number 6, pp. 981-994, 2007.

Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics
S Smith, H Johansen-Berg, M Jenkinson, D Rueckert, T Nichols, K Miller, M Robson, D Jones, J Klein, A Bartsch and T Behrens
Nature Protocols Volume 2, Number 3, pp. 499-503, 2007.

Multivariate statistical differences of MRI samples of the human brain
C Thomaz, F Duran, G Busatto, D Gillies and D Rueckert
Journal of Mathematical Imaging and Vision Volume 29, Number 2-3, pp. 95-106, 2007.

Predicting the shapes of bones at a joint: application to the shoulder
Y Yang, D Rueckert and A Bull
Computer Methods in Biomechanical and Biomedical Engineering Volume 11, Number 1, pp. 19-30, 2008.

Hierarchical statistical shape analysis and prediction of sub-cortical brain structures
A Rao, P Aljabar and D Rueckert
Medical Image Analysis Volume 12, Number 1, pp. 55-68, 2008.

Hierarchical statistical shape analysis and prediction of sub-cortical brain structures
A Rao, T Cootes and D Rueckert
In: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2006)(2006).

Canonical correlation analysis of sub-cortical brain structures using non-rigid registration
A Rao, K Babalola and D Rueckert
In: Third International Workshop on Biomedical Image Registration(2006).

3D statistical shape modelling of long bones
Y Yuhui, A Bull, D Rueckert and A Hill
In: Third International Workshop on Biomedical Image Registration,(2006).

Multiclassifier fusion in human brain MR segmentation: modelling convergence
R Heckemann, J Hajnal, P Aljabar, D Rueckert and A Hammers
In: Ninth Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI ’06)(2006).

Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach
C Thomaz, N Aguiar, S Oliveira, F Duran, G Busatto, D Gillies and D Rueckert
In: 19th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI '06)(2006).

Segmentation of cardiac MR and CT image sequences using model-based registration of a 4D statistical model
D Perperidis, R Mohiaddin, P Edwards and D Rueckert
In: SPIE Medical Imaging: Image Processing(2007).

Classifier selection strategies for label fusion using large atlas databases
P Aljabar, A Hammers, R Heckemann, J Hajnal and D Rueckert
In: Tenth Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI ’07)(2007).

Guest Editorial Special Volume on Artificial Intelligence for Human Computing
T Huang, A Nijhot, M Pantic and A Pentland
Lecture Notes in Artificial Intelligence Volume 4451, V-XI, 2007.

Human action recognition with spatiotemporal salient points
A Oikonomopoulos, I Patras and M Pantic
IEEE Transactions on Systems, Man and Cybernetics - Part B Volume 36, Number 3, pp. 710-719, 2006.

Machine Analysis of Facial Expressions
M Pantic and M Bartlett
Face Recognition (Eds. K Delac and M Grgic) 2007.

Human Computing and Machine Understanding of Human Behavior: A Survey
M Pantic, A Pentland, A Nijholt and T Huang
In: Lecture notes in Artificial Intelligence (2007) Springer , pp. 47-71.

Trajectory-based representation of human actions
A Oikonomopoulos, I Patras, M Pantic and N Paragios
In: Lecture Notes in Artificial Intelligence (2007) Springer , pp. 133-154.

Gaze-X: Adaptive affective multimodal interface for single-user office scenarios
L Maat and M Pantic
In: Lecture Notes in Artificial Intelligence (2007) Springer , pp. 251-271.

Face for Ambient Interface', Key Note Paper
M Pantic
In: Lecture Notes in Artificial Intelligence (2006) Springer , pp. 32-66.

How to Distinguish Posed from Spontaneous Smiles using Geometric Features
M Valstar, H Gunes and M Pantic
In: ACM Int'l Conf. Multimodal Interfaces (ICMI'07)(2007).

A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
Z Zeng, M Pantic, G Roisman and T Huang
In: ACM Int'l Conf. Multimodal Interfaces (ICMI'07)(2007).

Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
M Valstar and M Pantic
In: IEEE Workshop on Human Computer Interaction (HCI'07)(2007).

Human Body Gesture Recognition using Adapted Auxiliary Particle Filtering
A Oikonomopoulos and M Pantic
In: Int'l Conf. Advanced Video and Signal Based Surveillance (AVSS'07)(2007).

Trajectory-based Representation of Human Actions
A Oikonomopoulos, I Patras, M Pantic and N Paragios
In: IJCAI'07 Workshop on AI for Human Computing(2007).

Human Computing and machine understanding of human behavior: A Survey
M Pantic, A Pentland, A Nijholt and T Huang
In: ACM Int'l Conf. Multimodal Interfaces (ICMI'06)(2006).

Spontaneous vs. posed facial behavior: Automatic analysis of brow actions
M Valstar, M Pantic, Z Ambadar and J Cohn
In: ACM Int'l Conf. Multimodal Interfaces (ICMI'06)(2006).

Gaze-X: Adaptive affective multimodal interface for single-user office scenarios
L Maat and M Pantic
In: ACM Int'l Conf. Multimodal Interfaces (ICMI'06)(2006).

Biologically vs. logic inspired encoding of facial actions and emotions in video
M Valstar and M Pantic
In: IEEE Int'l Conf. on Multimedia and Expo (ICME '06)(2006).

Fully automatic facial action unit detection and temporal analysis
M Valstar and M Pantic
In: IEEE Int'l Conf. on Computer Vision and Pattern Recognition (CVPR'06)(2006).

Kernel-based recognition of human actions using spatiotemporal salient points
A Oikonomopoulos, I Patras and M Pantic
In: IEEE Int'l Conf. on Computer Vision and Pattern Recognition (CVPR'06)(2006).

Guest Editorial: Special Issue on Inductive Logic Programming
S Muggleton, R Otero and S Colton
Machine Learning Volume 70, Number 2-3, pp. 119-120, 2008.

Computational Discovery in Pure Mathematics
S Colton
In: Communicable Scientific Discovery (2007) Springer . ISBN 978-3-540-73919-7

Automatic Generation of Implied Constraints
J Charnley and S Colton
In: 17th European Conference on Artificial Intelligence(2006).

Boosting Descriptive ILP for Predictive Learning
N Jiang and S Colton
In: 2006 Conference on Inductive Logic Programming(2006).

Predictive and Descriptive Approaches to Learning Game Rules from Vision Data
P Santos, S Colton and D Magee
In: 10th Ibero-American Artificial Intelligence Conference(2006).

Towards Meta-level Descriptive ILP
P Torres and S Colton
In: Short Paper Proceedings of ILP 2006(2006).