Data-Dependent Structural Risk Minimization for Perceptron Decision Trees. - John Shawe-Taylor; Nello Cristianini (NIPS, 1997)

Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. - Nello Cristianini; John Shawe-Taylor; Peter Sykacek (ICML, 1998)

The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. - Thilo-Thomas Frieß; Nello Cristianini; Colin Campbell (ICML, 1998)

Dynamically Adapting Kernels in Support Vector Machines. - Nello Cristianini; Colin Campbell; John Shawe-Taylor (NIPS, 1998)

Further Results on the Margin Distribution. - John Shawe-Taylor; Nello Cristianini (COLT, 1999)

A multiplicative updating algorithm for training support vector machine. - Nello Cristianini; Colin Campbell; John Shawe-Taylor (ESANN, 1999)

Margin Distribution Bounds on Generalization. - John Shawe-Taylor; Nello Cristianini (EuroCOLT, 1999)

Generalization Performance of Classifiers in Terms of Observed Covering Numbers. - John Shawe-Taylor; Nello Cristianini (EuroCOLT, 1999)

Large Margin Trees for Induction and Transduction. - Donghui Wu; Kristin P. Bennett; Nello Cristianini; John Shawe-Taylor (ICML, 1999)

Large Margin DAGs for Multiclass Classification. - John C. Platt; Nello Cristianini; John Shawe-Taylor (NIPS, 1999)

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. - Nello Cristianini; John Shawe-Taylor (Cambridge University Press, 2000)

Query Learning with Large Margin Classifiers. - Colin Campbell; Nello Cristianini; Alexander J. Smola (ICML, 2000)

Large margin strategies in machine learning. - Nello Cristianini (ISCAS, 2000)

Text Classification using String Kernels. - Huma Lodhi; John Shawe-Taylor; Nello Cristianini; Christopher J. C. H. Watkins (NIPS, 2000)

Support vector machine classification and validation of cancer tissue samples using microarray expression data. - Terrence S. Furey; Nello Cristianini; Nigel Duffy; David W. Bednarski; Michèl Schummer; David Haussler (Bioinform., 2000)

Enlarging the Margins in Perceptron Decision Trees. - Kristin P. Bennett; Nello Cristianini; John Shawe-Taylor; Donghui Wu (Mach. Learn., 2000)

Latent Semantic Kernels. - Nello Cristianini; John Shawe-Taylor; Huma Lodhi (ICML, 2001)

Composite Kernels for Hypertext Categorisation. - Thorsten Joachims; Nello Cristianini; John Shawe-Taylor (ICML, 2001)

On Kernel-Target Alignment. - Nello Cristianini; John Shawe-Taylor; André Elisseeff; Jaz S. Kandola (NIPS, 2001)

Spectral Kernel Methods for Clustering. - Nello Cristianini; John Shawe-Taylor; Jaz S. Kandola (NIPS, 2001)

On the Concentration of Spectral Properties. - John Shawe-Taylor; Nello Cristianini; Jaz S. Kandola (NIPS, 2001)

On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. - John Shawe-Taylor; Christopher K. I. Williams; Nello Cristianini; Jaz S. Kandola (ALT, 2002)

Learning the Kernel Matrix with Semi-Definite Programming. - Gert R. G. Lanckriet; Nello Cristianini; Peter L. Bartlett; Laurent El Ghaoui; Michael I. Jordan (ICML, 2002)

Learning Semantic Similarity. - Jaz S. Kandola; John Shawe-Taylor; Nello Cristianini (NIPS, 2002)

Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis. - Alexei Vinokourov; John Shawe-Taylor; Nello Cristianini (NIPS, 2002)

Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. - Nello Cristianini; Bernhard Schölkopf (AI Mag., 2002)

Text Classification using String Kernels. - Huma Lodhi; Craig Saunders; John Shawe-Taylor; Nello Cristianini; Christopher J. C. H. Watkins (J. Mach. Learn. Res., 2002)

Editorial: Kernel Methods: Current Research and Future Directions. - Nello Cristianini; Colin Campbell; Chris Burges (Mach. Learn., 2002)

On the generalization of soft margin algorithms. - John Shawe-Taylor; Nello Cristianini (IEEE Trans. Inf. Theory, 2002)

Efficiently Learning the Metric with Side-Information. - Tijl De Bie; Michinari Momma; Nello Cristianini (ALT, 2003)

Kernel Methods for Pattern Analysis. - Nello Cristianini (ICTAI, 2003)

Convex Methods for Transduction. - Tijl De Bie; Nello Cristianini (NIPS, 2003)

Kernel Methods for Pattern Analysis. - John Shawe-Taylor; Nello Cristianini (Cambridge University Press, 2004)

Kernel Methods for Pattern Analysis. - John Shawe-Taylor; Nello Cristianini (Cambridge University Press, 2004)

Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast. - Gert R. G. Lanckriet; Minghua Deng; Nello Cristianini; Michael I. Jordan; William Stafford Noble (Pacific Symposium on Biocomputing, 2004)

Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data. - Tijl De Bie; Nello Cristianini (SSPR/SPR, 2004)

A statistical framework for genomic data fusion. - Gert R. G. Lanckriet; Tijl De Bie; Nello Cristianini; Michael I. Jordan; William Stafford Noble (Bioinform., 2004)

Learning the Kernel Matrix with Semidefinite Programming. - Gert R. G. Lanckriet; Nello Cristianini; Peter L. Bartlett; Laurent El Ghaoui; Michael I. Jordan (J. Mach. Learn. Res., 2004)

Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. - Tijl De Bie; Patrick Monsieurs; Kristof Engelen; Bart De Moor; Nello Cristianini; Kathleen Marchal (Pacific Symposium on Biocomputing, 2005)

Comparison of vector space model methodologies to reconcile cross-species neuroanatomical concepts. - Prashanti R. Srinivas; Shang-Heng Wei; Nello Cristianini; Edward G. Jones; F. A. Gorin (Neuroinformatics, 2005)

On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA. - John Shawe-Taylor; Christopher K. I. Williams; Nello Cristianini; Jaz S. Kandola (IEEE Trans. Inf. Theory, 2005)

Semi-Supervised Learning Using Semi-Definite Programming. - Tijl De Bie; Nello Cristianini (Semi-Supervised Learning, 2006)

CAFE: a computational tool for the study of gene family evolution. - Tijl De Bie; Nello Cristianini; Jeffery P. Demuth; Matthew W. Hahn (Bioinform., 2006)

Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem. - Tijl De Bie; Nello Cristianini (J. Mach. Learn. Res., 2006)

Introduction to computational genomics - a case studies approach. - Nello Cristianini; Matthew W. Hahn (Cambridge University Press, 2007)

Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar. - Patricia Francis-Lyon; Nello Cristianini; Stephen R. Holbrook (CIBCB, 2007)

Discriminative Sequence Labeling by Z-Score Optimization. - Elisa Ricci 001; Tijl De Bie; Nello Cristianini (ECML, 2007)

Learning to Align: A Statistical Approach. - Elisa Ricci 001; Tijl De Bie; Nello Cristianini (IDA, 2007)

MINI: Mining Informative Non-redundant Itemsets. - Arianna Gallo; Tijl De Bie; Nello Cristianini (PKDD, 2007)

Modeling sequence evolution with kernel methods. - Margherita Bresco; Marco Turchi; Tijl De Bie; Nello Cristianini (Comput. Optim. Appl., 2007)

Learning Performance of a Machine Translation System: a Statistical and Computational Analysis. - Marco Turchi; Tijl De Bie; Nello Cristianini (WMT@ACL, 2008)

Support Vector Machines. - Nello Cristianini; Elisa Ricci 001 (Encyclopedia of Algorithms, 2008)

Sentence-level confidence estimation for MT. - Lucia Specia; Nicola Cancedda; Marc Dymetman; Craig Saunders; Marco Turchi; Nello Cristianini; Zhuoran Wang; John Shawe-Taylor (SMART@EAMT, 2009)

Estimating the Sentence-Level Quality of Machine Translation Systems. - Lucia Specia; Marco Turchi; Nicola Cancedda; Nello Cristianini; Marc Dymetman (EAMT, 2009)

Learning to translate: a statistical and computational analysis. - Marco Turchi; Tijl De Bie; Nello Cristianini (SMART@EAMT, 2009)

Detecting Macro-patterns in the European Mediasphere. - Ilias N. Flaounas; Marco Turchi; Nello Cristianini (Web Intelligence/IAT Workshops, 2009)

An Intelligent Agent That Autonomously Learns How to Translate. - Marco Turchi; Tijl De Bie; Nello Cristianini (IAT, 2009)

Are We There Yet?. - Nello Cristianini (ECML/PKDD (1), 2009)

Inference and Validation of Networks. - Ilias N. Flaounas; Marco Turchi; Tijl De Bie; Nello Cristianini (ECML/PKDD (1), 2009)

Found in Translation. - Marco Turchi; Ilias N. Flaounas; Omar Ali; Tijl De Bie; Tristan Snowsill; Nello Cristianini (ECML/PKDD (2), 2009)

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. - Nello Cristianini; John Shawe-Taylor (Cambridge University Press, 2010)

Wrapping up a Summary: From Representation to Generation. - Josef Steinberger; Marco Turchi; Mijail A. Kabadjov; Ralf Steinberger; Nello Cristianini (ACL (2), 2010)

Predicting relations in news-media content among EU countries. - Ilias N. Flaounas; Nick Fyson; Nello Cristianini (CIP, 2010)

Tracking the flu pandemic by monitoring the social web. - Vasileios Lampos; Nello Cristianini (CIP, 2010)

Finding surprising patterns in textual data streams. - Tristan Snowsill; Florent Nicart; Marco Stefani; Tijl De Bie; Nello Cristianini (CIP, 2010)

Information Fusion for Entity Matching in Unstructured Data. - Omar Ali; Nello Cristianini (AIAI, 2010)

Learning the Preferences of News Readers with SVM and Lasso Ranking. - Elena Hensinger; Ilias N. Flaounas; Nello Cristianini (AIAI, 2010)

Flu Detector - Tracking Epidemics on Twitter. - Vasileios Lampos; Tijl De Bie; Nello Cristianini (ECML/PKDD (3), 2010)

Detecting Events in a Million New York Times Articles. - Tristan Snowsill; Ilias N. Flaounas; Tijl De Bie; Nello Cristianini (ECML/PKDD (3), 2010)

Automating News Content Analysis: An Application to Gender Bias and Readability. - Omar Ali; Ilias N. Flaounas; Tijl De Bie; Nick Mosdell; Justin Lewis; Nello Cristianini (WAPA, 2010)

Preface. - Tom Diethe; Nello Cristianini; John Shawe-Taylor (WAPA, 2010)

Automatic Discovery of Patterns in Media Content. - Nello Cristianini (CPM, 2011)

Reconstruction of Causal Networks by Set Covering. - Nick Fyson; Tijl De Bie; Nello Cristianini (ICANNGA (2), 2011)

Learning Readers' News Preferences with Support Vector Machines. - Elena Hensinger; Ilias N. Flaounas; Nello Cristianini (ICANNGA (2), 2011)

Refining causality: who copied from whom? - Tristan Mark Snowsill; Nick Fyson; Tijl De Bie; Nello Cristianini (KDD, 2011)

Celebrity Watch: Browsing News Content by Exploiting Social Intelligence. - Omar Ali; Ilias N. Flaounas; Tijl De Bie; Nello Cristianini (ECML/PKDD (3), 2011)

NOAM: news outlets analysis and monitoring system. - Ilias N. Flaounas; Omar Ali; Marco Turchi; Tristan Snowsill; Florent Nicart; Tijl De Bie; Nello Cristianini (SIGMOD Conference, 2011)

Generic Multiplicative Methods for Implementing Machine Learning Algorithms on MapReduce - Song Liu; Peter A. Flach; Nello Cristianini (CoRR, 2011)

Automating Quantitative Narrative Analysis of News Data. - Saatviga Sudhahar; Roberto Franzosi; Nello Cristianini (WAPA, 2011)

ElectionWatch: Detecting Patterns in News Coverage of US Elections. - Saatviga Sudhahar; Thomas Lansdall-Welfare; Ilias N. Flaounas; Nello Cristianini (EACL, 2012)

Learning Machine Translation from In-domain and Out-of-domain Data. - Marco Turchi; Cyril Goutte; Nello Cristianini (EAMT, 2012)

An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks. - Omar Ali; Giovanni Zappella; Tijl De Bie; Nello Cristianini (ICPRAM (2), 2012)

What Makes Us Click? - Modelling and Predicting the Appeal of News Articles. - Elena Hensinger; Ilias N. Flaounas; Nello Cristianini (ICPRAM (2), 2012)

Scalable Corpus Annotation by Graph Construction and Label Propagation. - Thomas Lansdall-Welfare; Ilias N. Flaounas; Nello Cristianini (ICPRAM (1), 2012)

Effects of the recession on public mood in the UK. - Thomas Lansdall-Welfare; Vasileios Lampos; Nello Cristianini (WWW (Companion Volume), 2012)

Learning to Translate: A Statistical and Computational Analysis. - Marco Turchi; Tijl De Bie; Cyril Goutte; Nello Cristianini (Adv. Artif. Intell., 2012)

The NetCover algorithm for the reconstruction of causal networks. - Nick Fyson; Tijl De Bie; Nello Cristianini (Neurocomputing, 2012)

Linguistic Phylogenetic Inference by PAM-like Matrices. - Antonella Delmestri; Nello Cristianini (J. Quant. Linguistics, 2012)

Nowcasting Events from the Social Web with Statistical Learning. - Vasileios Lampos; Nello Cristianini (ACM Trans. Intell. Syst. Technol., 2012)

An intelligent Web agent that autonomously learns how to translate. - Marco Turchi; Tijl De Bie; Nello Cristianini (Web Intell. Agent Syst., 2012)

Finite-Time Analysis of Kernelised Contextual Bandits. - Michal Valko; Nathaniel Korda; Rémi Munos; Ilias N. Flaounas; Nello Cristianini (UAI, 2013)

Analysing Mood Patterns in the United Kingdom through Twitter Content - Vasileios Lampos; Thomas Lansdall-Welfare; Ricardo Araya; Nello Cristianini (CoRR, 2013)

Modelling and predicting news popularity. - Elena Hensinger; Ilias N. Flaounas; Nello Cristianini (Pattern Anal. Appl., 2013)

On the coverage of science in the media: A big data study on the impact of the Fukushima disaster. - Thomas Lansdall-Welfare; Saatviga Sudhahar; Giuseppe A. Veltri; Nello Cristianini (IEEE BigData, 2014)

On the current paradigm in artificial intelligence. - Nello Cristianini (AI Commun., 2014)

The Anatomy of a Modular System for Media Content Analysis. - Ilias N. Flaounas; Thomas Lansdall-Welfare; Panagiota Antonakaki; Nello Cristianini (CoRR, 2014)

Efficient classification of multi-labeled text streams by clashing. - Ricardo Ñanculef; Ilias N. Flaounas; Nello Cristianini (Expert Syst. Appl., 2014)

ThinkBIG - Understanding the Impact of Big Data on Science and Society. - Nello Cristianini (ICPRAM (1), 2015)

Scalable Preference Learning from Data Streams. - Fabon Dzogang; Thomas Lansdall-Welfare; Saatviga Sudhahar; Nello Cristianini (WWW (Companion Volume), 2015)

Measuring Gender Bias in News Images. - Sen Jia 002; Thomas Lansdall-Welfare; Nello Cristianini (WWW (Companion Volume), 2015)

Network analysis of narrative content in large corpora. - Saatviga Sudhahar; Gianluca de Fazio; Roberto Franzosi; Nello Cristianini (Nat. Lang. Eng., 2015)

Learning to classify gender from four million images. - Sen Jia 002; Nello Cristianini (Pattern Recognit. Lett., 2015)

Automated analysis of the US presidential elections using Big Data and network analysis. - Saatviga Sudhahar; Giuseppe A. Veltri; Nello Cristianini (Big Data Soc., 2015)

Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts. - Fabon Dzogang; Thomas Lansdall-Welfare; Nello Cristianini (ICDM Workshops, 2016)

Gender Classification by Deep Learning on Millions of Weakly Labelled Images. - Sen Jia 002; Thomas Lansdall-Welfare; Nello Cristianini (ICDM Workshops, 2016)

Change-Point Analysis of the Public Mood in UK Twitter during the Brexit Referendum. - Thomas Lansdall-Welfare; Fabon Dzogang; Nello Cristianini (ICDM Workshops, 2016)

Time Series Analysis of Garment Distributions via Street Webcam. - Sen Jia 002; Thomas Lansdall-Welfare; Nello Cristianini (ICIAR, 2016)

Efficient Classification of Multi-Labelled Text Streams by Clashing. - Ricardo Ñanculef; Ilias N. Flaounas; Nello Cristianini (CoRR, 2016)

Support Vector Machines. - Nello Cristianini; Elisa Ricci 001 (Encyclopedia of Algorithms, 2016)

Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases. - Fabon Dzogang; James Goulding; Stafford Lightman; Nello Cristianini (IDA, 2017)

Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes. - Sen Jia 002; Thomas Lansdall-Welfare; Nello Cristianini (IDA, 2017)

The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950. - Thomas Lansdall-Welfare; Saatviga Sudhahar; James Thompson; Nello Cristianini (IDA, 2017)

Content analysis of 150 years of British periodicals. - Thomas Lansdall-Welfare; Saatviga Sudhahar; James Thompson; Justin Lewis; FindMyPast Newspaper Team; Nello Cristianini (Proc. Natl. Acad. Sci. USA, 2017)

Fact Checking from Natural Text with Probabilistic Soft Logic. - Nouf Bindris; Saatviga Sudhahar; Nello Cristianini (IDA, 2018)

Right for the Right Reason: Training Agnostic Networks. - Sen Jia 002; Thomas Lansdall-Welfare; Nello Cristianini (IDA, 2018)

Detecting Shifts in Public Opinion: A Big Data Study of Global News Content. - Saatviga Sudhahar; Nello Cristianini (IDA, 2018)

Biased Embeddings from Wild Data: Measuring, Understanding and Removing. - Adam Sutton; Thomas Lansdall-Welfare; Nello Cristianini (IDA, 2018)

Machine Decisions and Human Consequences. - Teresa Scantamburlo; Andrew Charlesworth; Nello Cristianini (CoRR, 2018)

An Analysis of the Interaction Between Intelligent Software Agents and Human Users. - Christopher Burr; Nello Cristianini; James Ladyman (Minds Mach., 2018)

Can Machines Read our Minds? - Christopher Burr; Nello Cristianini (Minds Mach., 2019)

On the Learnability of Concepts - With Applications to Comparing Word Embedding Algorithms. - Adam Sutton; Nello Cristianini (AIAI (2), 2020)

On social machines for algorithmic regulation. - Nello Cristianini; Teresa Scantamburlo (AI Soc., 2020)

History playground: A tool for discovering temporal trends in massive textual corpora. - Thomas Lansdall-Welfare; Nello Cristianini (Digit. Scholarsh. Humanit., 2020)

Claim Consistency Checking Using Soft Logic. - Nouf Bindris; Nello Cristianini; Jonathan Lawry (Mach. Learn. Knowl. Extr., 2020)

What makes us curious? analysis of a corpus of open-domain questions. - Zhaozhen Xu; Amelia Howarth; Nicole Briggs; Nello Cristianini (CoRR, 2021)

Self-attention Networks for Non-recurrent Handwritten Text Recognition. - Rafael d'Arce; Terence J. T. Norton; Sion Hannuna; Nello Cristianini (ICFHR, 2022)

EXTRACT: Explainable Transparent Control of Bias in Embeddings. - Zhijin Guo; Zhaozhen Xu; Martha Lewis; Nello Cristianini (AEQUITAS@ECAI, 2023)

QBERT: Generalist Model for Processing Questions. - Zhaozhen Xu; Nello Cristianini (IDA, 2023)

On Compositionality in Data Embedding. - Zhaozhen Xu; Zhijin Guo; Nello Cristianini (IDA, 2023)

Compositional Fusion of Signals in Data Embedding. - Zhijin Guo; Zhaozhen Xu; Martha Lewis; Nello Cristianini (CoRR, 2023)

The social turn of artificial intelligence. - Nello Cristianini; Teresa Scantamburlo; James Ladyman (AI Soc., 2023)

Understanding Visitors' Curiosity in a Science Centre with Deep Question Processing Network. - Zhaozhen Xu; Amelia Howarth; Nicole Briggs; Nello Cristianini (Int. J. Artif. Intell. Educ., 2024)