Nello Cristianini

According to our database1, Nello Cristianini authored at least 110 papers between 1997 and 2018.

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Bibliography

2018
An Analysis of the Interaction Between Intelligent Software Agents and Human Users.
Minds and Machines, 2018

Biased Embeddings from Wild Data: Measuring, Understanding and Removing.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Detecting Shifts in Public Opinion: A Big Data Study of Global News Content.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Right for the Right Reason: Training Agnostic Networks.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Fact Checking from Natural Text with Probabilistic Soft Logic.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2017
Content analysis of 150 years of British periodicals.
Proc. Natl. Acad. Sci. U.S.A., 2017

The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016
Support Vector Machines.
Encyclopedia of Algorithms, 2016

Time Series Analysis of Garment Distributions via Street Webcam.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

Change-Point Analysis of the Public Mood in UK Twitter during the Brexit Referendum.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Gender Classification by Deep Learning on Millions of Weakly Labelled Images.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Learning to classify gender from four million images.
Pattern Recognition Letters, 2015

Network analysis of narrative content in large corpora.
Natural Language Engineering, 2015

Measuring Gender Bias in News Images.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Scalable Preference Learning from Data Streams.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

ThinkBIG - Understanding the Impact of Big Data on Science and Society.
Proceedings of the ICPRAM 2015, 2015

2014
Efficient classification of multi-labeled text streams by clashing.
Expert Syst. Appl., 2014

On the current paradigm in artificial intelligence.
AI Commun., 2014

On the coverage of science in the media: A big data study on the impact of the Fukushima disaster.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

2013
Modelling and predicting news popularity.
Pattern Anal. Appl., 2013

Finite-Time Analysis of Kernelised Contextual Bandits.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012
An intelligent Web agent that autonomously learns how to translate.
Web Intelligence and Agent Systems, 2012

Nowcasting Events from the Social Web with Statistical Learning.
ACM TIST, 2012

Linguistic Phylogenetic Inference by PAM-like Matrices.
Journal of Quantitative Linguistics, 2012

The NetCover algorithm for the reconstruction of causal networks.
Neurocomputing, 2012

Learning to Translate: A Statistical and Computational Analysis.
Adv. Artificial Intellegence, 2012

Effects of the recession on public mood in the UK.
Proceedings of the 21st World Wide Web Conference, 2012

Scalable Corpus Annotation by Graph Construction and Label Propagation.
Proceedings of the ICPRAM 2012, 2012

What Makes Us Click? - Modelling and Predicting the Appeal of News Articles.
Proceedings of the ICPRAM 2012, 2012

An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks.
Proceedings of the ICPRAM 2012, 2012

ElectionWatch: Detecting Patterns in News Coverage of US Elections.
Proceedings of the EACL 2012, 2012

2011
Automating Quantitative Narrative Analysis of News Data.
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

NOAM: news outlets analysis and monitoring system.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Celebrity Watch: Browsing News Content by Exploiting Social Intelligence.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Refining causality: who copied from whom?
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Learning Readers' News Preferences with Support Vector Machines.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Reconstruction of Causal Networks by Set Covering.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Automatic Discovery of Patterns in Media Content.
Proceedings of the Combinatorial Pattern Matching - 22nd Annual Symposium, 2011

2010
Are we there yet?
Neural Networks, 2010

Preface.
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

Automating News Content Analysis: An Application to Gender Bias and Readability.
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

Detecting Events in a Million New York Times Articles.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Flu Detector - Tracking Epidemics on Twitter.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Learning the Preferences of News Readers with SVM and Lasso Ranking.
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

Information Fusion for Entity Matching in Unstructured Data.
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

Finding surprising patterns in textual data streams.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

Tracking the flu pandemic by monitoring the social web.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

Predicting relations in news-media content among EU countries.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

Wrapping up a Summary: From Representation to Generation.
Proceedings of the ACL 2010, 2010

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods.
Cambridge University Press, ISBN: 978-0-521-78019-3, 2010

2009
Found in Translation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Inference and Validation of Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Are We There Yet?.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

An Intelligent Agent That Autonomously Learns How to Translate.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009

Detecting Macro-patterns in the European Mediasphere.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

2008
Support Vector Machines.
Proceedings of the Encyclopedia of Algorithms - 2008 Edition, 2008

Learning Performance of a Machine Translation System: a Statistical and Computational Analysis.
Proceedings of the Third Workshop on Statistical Machine Translation, 2008

2007
Modeling sequence evolution with kernel methods.
Comp. Opt. and Appl., 2007

MINI: Mining Informative Non-redundant Itemsets.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Learning to Align: A Statistical Approach.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Discriminative Sequence Labeling by Z-Score Optimization.
Proceedings of the Machine Learning: ECML 2007, 2007

Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

Introduction to computational genomics - a case studies approach.
Cambridge University Press, 2007

2006
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem.
J. Mach. Learn. Res., 2006

CAFE: a computational tool for the study of gene family evolution.
Bioinformatics, 2006

Semi-Supervised Learning Using Semi-Definite Programming.
Proceedings of the Semi-Supervised Learning, 2006

2005
On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA.
IEEE Trans. Information Theory, 2005

Comparison of vector space model methodologies to reconcile cross-species neuroanatomical concepts.
Neuroinformatics, 2005

Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data.
Proceedings of the Biocomputing 2005, 2005

2004
Learning the Kernel Matrix with Semidefinite Programming.
J. Mach. Learn. Res., 2004

A statistical framework for genomic data fusion.
Bioinformatics, 2004

Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data.
Proceedings of the Structural, 2004

Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast.
Proceedings of the Biocomputing 2004, 2004

Kernel Methods for Pattern Analysis.
Cambridge University Press, ISBN: 978-0-521-81397-6, 2004

Kernel Methods for Pattern Analysis.
Cambridge University Press, ISBN: 9780511809682, 2004

2003
Convex Methods for Transduction.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Kernel Methods for Pattern Analysis.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Efficiently Learning the Metric with Side-Information.
Proceedings of the Algorithmic Learning Theory, 14th International Conference, 2003

2002
On the generalization of soft margin algorithms.
IEEE Trans. Information Theory, 2002

Editorial: Kernel Methods: Current Research and Future Directions.
Machine Learning, 2002

Text Classification using String Kernels.
J. Mach. Learn. Res., 2002

Support Vector Machines and Kernel Methods: The New Generation of Learning Machines.
AI Magazine, 2002

Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning Semantic Similarity.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning the Kernel Matrix with Semi-Definite Programming.
Proceedings of the Machine Learning, 2002

On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum.
Proceedings of the Discovery Science, 5th International Conference, 2002

On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum.
Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002

2001
On the Concentration of Spectral Properties.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Spectral Kernel Methods for Clustering.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

On Kernel-Target Alignment.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Composite Kernels for Hypertext Categorisation.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Latent Semantic Kernels.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000
Enlarging the Margins in Perceptron Decision Trees.
Machine Learning, 2000

Support vector machine classification and validation of cancer tissue samples using microarray expression data.
Bioinformatics, 2000

Text Classification using String Kernels.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Query Learning with Large Margin Classifiers.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods.
Cambridge University Press, ISBN: 9780511801389, 2000

1999
Large Margin DAGs for Multiclass Classification.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Large Margin Trees for Induction and Transduction.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Generalization Performance of Classifiers in Terms of Observed Covering Numbers.
Proceedings of the Computational Learning Theory, 4th European Conference, 1999

Margin Distribution Bounds on Generalization.
Proceedings of the Computational Learning Theory, 4th European Conference, 1999

A multiplicative updating algorithm for training support vector machine.
Proceedings of the ESANN 1999, 1999

Further Results on the Margin Distribution.
Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999

1998
Dynamically Adapting Kernels in Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

1997
Data-Dependent Structural Risk Minimization for Perceptron Decision Trees.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997


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