June2019 Ecml
Published:
Posts by Collection
news
June2020 E2e Ecml
Published:
Sept2021 Sabb
Published:
March2022 Aistats
Published:
Jan2023 Diversity
Published:
Dec 2023 Jmlr
Published:
March2024 Decompositions
Published:
newsarchive
To do…
Published:
Really soon, promise.
portfolio
publications
Neural Network Ensembles and Their Application to Traffic Flow Prediction in Telecommunications Networks
International Joint Conference on Neural Networks (IJCNN). USA, 2001
Download here
On The Effectiveness of Negative Correlation Learning
First UK Workshop on Computational Intelligence (UKCI`01), Edinburgh, 2001
Download here
Exploiting Ensemble Diversity for Automatic Feature Extraction
International Conference on Neural Information Processing (ICONIP). Singapore, 2002
Download here
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
International Conference on Machine Learning (ICML), 2003
Download here
Negative Correlation Learning and The Ambiguity Family of Ensemble Methods
International Workshop on Multiple Classifier Systems (MCS). Washington DC, 2003
Download here
Method for Exploiting Ensemble Diversity for Automatic Feature Extraction
European Patent no EP1378855. Sponsored by Honda Research Europe, 2004
Download here
Diversity in Neural Network Ensembles
PhD thesis, University of Birmingham, 2004
Winner, BCS Distinguished Dissertation Award 2004
Download here
Diversity creation methods: a survey and categorisation
Journal of Information Fusion 6 (1), 5-20, 2005
Download here
Managing diversity in regression ensembles
Journal of Machine Learning Research, 2005
Download here
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function
International Workshop on Multiple Classifier Systems. LNCS, Volume 3541, June, 2005
Download here
Branch Prediction with Bayesian Networks
First Workshop on Statistical and Machine learning approaches applied to ARchitectures and compilaTion (SMART), 2007
Download here
Return Value Prediction meets Information Theory
Journal of Electronic Notes in Theoretical Computer Science (Special Issue on Quantitative Aspects of Programming Languages). Volume 164, Issue 3, pg 137-151, 2007
Download here
Sparse Distributed Memory using Rank Order Neural Codes
IEEE Transactions on Neural Networks.. Vol 18, issue 3, May, 2007
Download here
Ensemble Learning in Linearly Combined Classifiers via Negative Correlation
International Workshop on Multiple Classifier Systems. Prague, May, 2007
Download here
UCSpv: Principled Voting in UCS Rule Populations
Genetic and Evolutionary Computation COnference (GECCO). July, 2007
Download here
Bayesian Estimation of Rule Accuracy in UCS
Genetic and Evolutionary Computation COnference (GECCO). July, 2007
Download here
Towards Intelligent Analysis Techniques for Object Pretenuring
Intl Conference on Principles and Practive of Progamming in Java. Sept, 2007
Download here
Intelligent Selection of Application-Specific Garbage Collectors
International Symposium on Memory Management. Oct, 2007
Download here
An Information Theoretic Evaluation of Software Metrics for Object Lifetime Prediction
Workshop on Statistical and Machine learning approaches applied to ARchitectures and compilaTion. January, 2008
Download here
Fundamental Nano-Patterns to Characterize and Classify Java Methods
Intl Workshop Language Descriptions, Tools and Applications (LDTA). March, 2009
Download here
A Space of Feature Selectors based on Multivariate Mutual Information
Sparsity in Machine Learning and Statistics. Cumberland Lodge, UK, April, 2009
Random Ordinality Ensembles : A Novel Ensemble Method for Multi-Valued Categorical Data
Intl Workshop on Multiple Classifier Systems. Iceland, June, 2009
Download here
Random Linear Oracle: An Ensemble Method for Low-Variance Classifiers
Intl Workshop on Multiple Classifier Systems. Iceland, June, 2009
An Information Theoretic Perspective on Multiple Classifier Systems
Intl Workshop on Multiple Classifier Systems. Iceland, June, 2009
Download here
A New Perspective for Information Theoretic Feature Selection
Artificial Intelligence and Statistics (AISTATS), 2009
Download here
Feature Selection by Filters: A Unifying Perspective
Keynote at UK Symposium on Knowledge Discovery and Data Mining. Salford, June, 2009
A Study on Semi-Supervised Generative Ensembles
Intl Workshop on Multiple Classifier Systems. Iceland, June, 2009
Modeling UCS as a Mixture of Experts
Genetic and Evolutionary Computation COnference (GECCO). Montreal, Canada, July, 2009
Download here
Static Java Program Features for Intelligent Squash Prediction
Proceedings of the 4th Workshop on Statistical and Machine Learning Approaches to Architecture and Compilation (SMART), 2010
Download here
Good and Bad Diversity in Majority Vote Ensembles
Intl Workshop on Multiple Classifier Systems. Cairo, 2010
Download here
Some thoughts at the interface of Ensemble Methods and Feature Selection
Keynote Lecture, Intl Workshop on Multiple Classifier Systems. Cairo, 2010
Download here
Online Nonstationary Boosting
Intl Workshop on Multiple Classifier Systems. Cairo, 2010
Download here
Analytic Solutions to Differential Equations under Graph-based Genetic Programming
13th European Conference on Genetic Programming (EuroGP). Istanbul, 2010
Download here
The Economics of Garbage Collection
Intl Symposium on Memory Management. June, 2010
Download here
Windows Shut on Curiosity
The Times Higher Education, 3rd June, 2010
Download here
Learn++.MF : A Random Subspace Approach for the Missing Feature Problem
Journal of Pattern Recognition, 2010
Download here
Ensemble Learning
Encyclopaedia of Machine Learning. C.Sammut, G.I.Webb (Eds.) Springer, ISBN 0387307680, 2010
Download here
Toward a More Accurate Understanding of the Limits of the TLS Execution Paradigm
Intl Symposium on Workload Characterization (IISWC), 2010
Download here
From Heuristics to Statistics
Keynote at IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments. France, April, 2011
Theoretical and Empirical Analysis of Diversity in Non-Stationary Learning
IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments. France, April, 2011
Download here
Garbage Collection Auto-Tuning for Java MapReduce on Multi-Cores
International Symposium on Memory Management. June, 2011
Download here
Online, GA based Mixture of Experts : a Probabilistic Model of UCS
Genetic and Evolutionary Computation COnference (GECCO). July, 2011
Download here
Boosting as a Product of Experts
Uncertainty in Artificial Intelligence (UAI) - acceptance rate 34%. July, 2011
Download here
Accuracy Exponentiation in UCS and its Effect on Voting Margins
Genetic and Evolutionary Computation COnference (GECCO). July, 2011
Download here
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
Journal of Machine Learning Research, 2012
Download here
Informative Priors for Markov Blanket Discovery
Artificial Intelligence and Statistics (AISTATS). La Palma, April, 2012
Download here
Optimizing Software Runtime Systems for Speculative Parallelization
IEEE Transactions on Architecture and Code Optimization (TACO). Volume 9 Issue 4, January, 2013
Download here
Beyond Fanos Inequality: Bounds on the Optimal F-Score, BER, and Cost-Sensitive Risk and Their Implications
Journal of Machine Learning Research. Volume 14, pages 1033-1090, 2013
Download here
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
Joint Conference on Lexical and Computational Semantics: Workshop on Semantic Evaluation (SemEval). Atlanta, Georgia, USA. June, 2013
Download here
Exploring sketches for probability estimation with sublinear memory
IEEE Conference on Big Data, 2013
Download here
Predicting Performance of OWL reasoners: Locally or Globally?
International Conference on Principles of Knowledge Representation and Reasoning (KR 2014), Vienna, Austria, AAAI Press, 2014
Download here
Information theoretic feature selection in multi-label data through composite likelihood
Intl. Workshop Statistical, Syntactic and Structural Pattern Recognition (SSPR). August, 2014
Download here
Random Projection Random Discretization Ensembles – Ensembles of Linear Multivariate Decision Trees
IEEE Transactions on Knowledge and Data Engineering. Vol 26, Issue 5, pages 143-152, 2014
Download here
Structural, Syntactic, and Statistical Pattern Recognition
Edited proceedings: IAPR International Workshop (S+SSPR). Joensuu, Finland, August 20-22, 2014
Download here
Statistical Hypothesis Testing in Positive Unlabelled Data
European Conference on Machine Learning (ECML). Acceptance rate 115/484 (23.8%).
Best Student Paper Award. France, Sept, 2014
More info (slides, supplementary material, etc), available here
Download here
Random Ordinality Ensembles - Ensemble methods for multi-valued categorical data
Information Sciences. Volume 296, pages 75-94. March, 2015
A Scalable Implementation of Information Theoretic Feature Selection for High Dimensional Data
IEEE International Conference on Big Data (IEEE BigData), 2015
Calibrating Adaboost for Asymmetric Learning
Intl Workshop on Multiple Classifier Systems. June, 2015
Download here
Measuring the Stability of Feature Selection with Applications to Ensemble Methods
International Workshop on Multiple Classifier Systems, 2015
Download here
Is Feature Selection Secure against Training Data Poisoning?
International Conference on Machine Learning (ICML). Lille, France, July, 2015
Download here
On Unifiers, Diversifiers, and the Nature of Pattern Recognition
Pattern Recognition Letters (Special Issue on Philosophical Aspects of Pattern Recognition). Volume 64, pages 11-20, 2015
Download here
Markov blanket discovery in positive-unlabelled and semi-supervised data
European Conference on Machine Learning (ECML). Acceptance rate 89/383 (23.2%). Portugal, Sept, 2015
Download here
General Terminology Induction in OWL
International Semantic Web Conference (ISWC 2015). Research Track - acceptance rate 38/172 (22%). USA, October, 2015
Modular Autoencoders for Ensemble Feature Extraction
NIPS 2015 Workshop on Feature Extraction, Modern Questions and Challenges. Published in Journal of Machine Learning Research W&CP, vol 44, 2015
Download here
53 Ways to Assess Your Students (contributing author - Chapters on Feedback on MCQs and short answer questions, Problem-based assessment, Calculation tasks, and Self-assessment)
Victoria Burns (Editor) Professional and Higher Partnership., 2015
Compiler-Driven Software Speculation for Thread-level Parallelism
Transactions on Programming Languages and Systems (TOPLAS). Volume 38 Issue 2, January, 2016
Download here
Cost-Sensitive Boosting Algorithms - Do we really need them?
Machine Learning Journal, Volume 104, Issue 2, pp 359-384, 2016
Download here
Estimating Mutual Information in Under-Reported Variables
Conference on Probabilistic Graphical Models, 2016
Download here
Measuring the Stability of Feature Selection
European Conference on Machine Learning (ECML). Acceptance rate 99/353 (28%). Italy, Sept, 2016
Note: all results in the ECML paper above have been superseded by our newer 2018 article, published in JMLR.
Download here
Exploring the Relationship Between Eye Movements and Electrocardiogram Interpretation Accuracy
Nature Scientific reports, 6(1), 2016
Download here
Ranking Biomarkers through Mutual Information
NIPS Workshop on Machine Learning for Healthcare. Barcelona, December, 2016
Boosting java performance using gpGPUs
International Conference on Architecture of Computing Systems, 2017
Download here
Disentangling Prognostic and Predictive Biomarkers Through Mutual Information
Informatics for Health. Manchester, UK, 2017
Dealing with Under-reported Variables - An Information Theoretic Solution
International Journal of Approximate Reasoning. Volume 85, June 2017, Pages 159-177, 2017
Download here
Mutual information for improving the efficiency of the SCH algorithm
European Symposium on Artificial Neural Networks (ESANN). Bruges, Belgium, 2017
Gradient boosting models for photovoltaic power estimation under partial shading conditions
International Workshop on Data Analytics for Renewable Energy Integration, 2017
Download here
Minimax rates on Manifolds with Approximate Nearest Neighbours
International Conference on Algorithmic Learning Theory, Tokyo, 2017. PMLR 76:11-56, 2017
Download here
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid
ICCV Workshop, ViPAR, 2017
On the Use of Spearman’s Rho to Measure the Stability of Feature Rankings
Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Faro, Portugal, 2017
Download here
Exploring the consequences of distributed feature selection in DNA microarray data
International Joint Conference on Neural Networks (IJCNN). Anchorage, Alaska, USA, 2017
Download here
Individual Confidence-Weighting and Group Decision-Making
Trends in Ecology and Evolution. Volume 2261, 2017
Download here
Degrees of Freedom in Regression Ensembles
European Symposium on Artificial Neural Networks (ESANN). Bruges, Belgium.
Best Student Paper Award, 2017
Download here
On the Stability of Feature Selection Algorithms
Journal of Machine Learning Research (JMLR) vol 18, pages 1-54, 2018
Download here
Diversity and degrees of freedom in regression ensembles
Neurocomputing vol 298, p55-68, 2018
Download here
The k-nearest neighbour ucb algorithm for multi-armed bandits with covariates
Intl Conference on Algorithmic Learning Theory, 2018
Download here
Simple strategies for semi-supervised feature selection
Machine Learning 107 (2), 357-395, 2018
Download here
Toward an understanding of adversarial examples in clinical trials
ECML, 2018
Download here
Modular dimensionality reduction
European Conference on Machine Learning (ECML), 2018
Download here
Distinguishing prognostic and predictive biomarkers - an information theoretic approach
Bioinformatics 34 (19), 3365-3376, 2018
Download here
ORB-SLAM-CNN - lessons in adding semantic map construction to feature-based SLAM
Annual Conference Towards Autonomous Robotic Systems, 2019
Download here
Dashing hopes? The predictive accuracy of domestic abuse risk assessment by police
The British Journal of Criminology 59 (5), 1013-1034, 2019
Download here
Efficient feature selection using shrinkage estimators
Machine Learning 108 (8), 1261-1286, 2019
Download here
Insights into distributed feature ranking
Information Sciences, 2019
Download here
Bespoke machine learning processor development framework on flexible substrates
IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS), 2019
Download here
On the stability of feature selection in the presence of feature correlations
European Conference on Machine Learning, 2019
Download here
Hybrid extreme learning machine approach for heterogeneous neural networks
Journal of Neurocomputing, Volume 361, Pages 137-150, 2019
Feature selection with limited bit depth mutual information for portable embedded systems
Journal of Knowledge-Based Systems, Volume 197, 2020
Download here
A hardwired machine learning processing engine fabricated with submicron metal-oxide thin-film transistors on a flexible substrate
Nature Electronics, Volume 3, Issue 7. Pages 419-425, 2020
Download here
Binary neural network as a flexible integrated circuit for odour classification
IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS), 2020
Download here
To ensemble or not ensemble - When does end-to-end training fail
European Conference on Machine Learning, 2020
Download here
How to get Your PhD
Oxford University Press, 2021
See the book website, including free preview chapters, here.
Bias-Variance Decompositions for Margin Losses
Artificial Intelligence and Statistics (AISTATS), 2022
Download here
Predicting domestic abuse (fairly) and police risk assessment
Journal of Psychosocial Intervention; 31(3): 145–157., 2022
Download here
A surrogate machine learning model for advanced gas-cooled reactor graphite core safety analysis
Journal of Nuclear Engineering and Design, 2022
Download here
Malodour classification with low-cost flexible electronics
Nature Communications, vol 14 (777), 2023
Download here
A Unified Theory of Diversity in Ensemble Learning
Journal of Machine Learning Research, 24(359):1-49, 2023
Download here
Low-cost and efficient prediction hardware for tabular data using tiny classifier circuits
Nature Electronics, 2024
Download here
FINESSD: Near-Storage Feature Selection with Mutual Information for Resource-Limited FPGAs
32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2024, 2024
Download here
Bias/Variance is not the same as Approximation/Estimation
Transactions on Machine Learning Research, 2024
Download here