Nello Cristianini

147 papers A* 9A 2B 17C 4Misc 4Journal 50Unranked 50

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Understanding Visitors' Curiosity in a Science Centre with Deep Question Processing Network. Int. J. Artif. Intell. Educ. Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini
2023	J	`jnl`	Compositional Fusion of Signals in Data Embedding. CoRR Zhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini
2023	—	`conf`	EXTRACT: Explainable Transparent Control of Bias in Embeddings. AEQUITAS@ECAI Zhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini
2023	J	`jnl`	EXTRACT: Explainable Transparent Control of Bias in Embeddings. CoRR Zhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini
2023	B	`conf`	On Compositionality in Data Embedding. IDA Zhaozhen Xu, Zhijin Guo, Nello Cristianini
2023	B	`conf`	QBERT: Generalist Model for Processing Questions. IDA Zhaozhen Xu, Nello Cristianini
2023	J	`jnl`	The social turn of artificial intelligence. AI Soc. Nello Cristianini, Teresa Scantamburlo, James Ladyman
2022	J	`jnl`	QBERT: Generalist Model for Processing Questions. CoRR Zhaozhen Xu, Nello Cristianini
2022	B	`conf`	Self-attention Networks for Non-recurrent Handwritten Text Recognition. ICFHR Rafael d'Arce, Terence J. T. Norton, Sion L. Hannuna, Nello Cristianini
2021	J	`jnl`	What makes us curious? analysis of a corpus of open-domain questions. CoRR Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini
2020	J	`jnl`	Claim Consistency Checking Using Soft Logic. Mach. Learn. Knowl. Extr. Nouf Bindris, Nello Cristianini, Jonathan Lawry
2020	J	`jnl`	History playground: A tool for discovering temporal trends in massive textual corpora. Digit. Scholarsh. Humanit. Thomas Lansdall-Welfare, Nello Cristianini
2020	J	`jnl`	On social machines for algorithmic regulation. AI Soc. Nello Cristianini, Teresa Scantamburlo
2020	—	`conf`	On the Learnability of Concepts - With Applications to Comparing Word Embedding Algorithms. AIAI (2) Adam Sutton, Nello Cristianini
2020	J	`jnl`	On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms. CoRR Adam Sutton, Nello Cristianini
2019	J	`jnl`	Can Machines Read our Minds? Minds Mach. Christopher Burr, Nello Cristianini
2019	J	`jnl`	On Social Machines for Algorithmic Regulation. CoRR Nello Cristianini, Teresa Scantamburlo
2018	J	`jnl`	An Analysis of the Interaction Between Intelligent Software Agents and Human Users. Minds Mach. Christopher Burr, Nello Cristianini, James Ladyman
2018	B	`conf`	Biased Embeddings from Wild Data: Measuring, Understanding and Removing. IDA Adam Sutton, Thomas Lansdall-Welfare, Nello Cristianini
2018	J	`jnl`	Biased Embeddings from Wild Data: Measuring, Understanding and Removing. CoRR Adam Sutton, Thomas Lansdall-Welfare, Nello Cristianini
2018	B	`conf`	Detecting Shifts in Public Opinion: A Big Data Study of Global News Content. IDA Saatviga Sudhahar, Nello Cristianini
2018	B	`conf`	Fact Checking from Natural Text with Probabilistic Soft Logic. IDA Nouf Bindris, Saatviga Sudhahar, Nello Cristianini
2018	J	`jnl`	History Playground: A Tool for Discovering Temporal Trends in Massive Textual Corpora. CoRR Thomas Lansdall-Welfare, Nello Cristianini
2018	J	`jnl`	Machine Decisions and Human Consequences. CoRR Teresa Scantamburlo, Andrew Charlesworth, Nello Cristianini
2018	B	`conf`	Right for the Right Reason: Training Agnostic Networks. IDA Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini
2018	J	`jnl`	Right for the Right Reason: Training Agnostic Networks. CoRR Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini
2017	J	`jnl`	Content analysis of 150 years of British periodicals. Proc. Natl. Acad. Sci. USA Thomas Lansdall-Welfare, Saatviga Sudhahar, James Thompson, Justin Lewis, FindMyPast Newspaper Team, Nello Cristianini
2017	B	`conf`	Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes. IDA Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini
2017	B	`conf`	Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases. IDA Fabon Dzogang, James Goulding, Stafford Lightman, Nello Cristianini
2017	B	`conf`	The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950. IDA Thomas Lansdall-Welfare, Saatviga Sudhahar, James Thompson, Nello Cristianini
2016	—	`conf`	Change-Point Analysis of the Public Mood in UK Twitter during the Brexit Referendum. ICDM Workshops Thomas Lansdall-Welfare, Fabon Dzogang, Nello Cristianini
2016	J	`jnl`	Efficient Classification of Multi-Labelled Text Streams by Clashing. CoRR Ricardo Ñanculef, Ilias N. Flaounas, Nello Cristianini
2016	—	`conf`	Gender Classification by Deep Learning on Millions of Weakly Labelled Images. ICDM Workshops Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini
2016	—	`conf`	Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts. ICDM Workshops Fabon Dzogang, Thomas Lansdall-Welfare, Nello Cristianini
2016	—	`ch.`	Support Vector Machines. Encyclopedia of Algorithms Nello Cristianini, Elisa Ricci
2016	—	`conf`	Time Series Analysis of Garment Distributions via Street Webcam. ICIAR Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini
2015	J	`jnl`	Automated analysis of the US presidential elections using Big Data and network analysis. Big Data Soc. Saatviga Sudhahar, Giuseppe A. Veltri, Nello Cristianini
2015	J	`jnl`	Learning to classify gender from four million images. Pattern Recognit. Lett. Sen Jia, Nello Cristianini
2015	—	`conf`	Measuring Gender Bias in News Images. WWW (Companion Volume) Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini
2015	J	`jnl`	Network analysis of narrative content in large corpora. Nat. Lang. Eng. Saatviga Sudhahar, Gianluca de Fazio, Roberto Franzosi, Nello Cristianini
2015	—	`conf`	Scalable Preference Learning from Data Streams. WWW (Companion Volume) Fabon Dzogang, Thomas Lansdall-Welfare, Saatviga Sudhahar, Nello Cristianini
2015	—	`conf`	ThinkBIG - Understanding the Impact of Big Data on Science and Society. ICPRAM (1) Nello Cristianini
2014	J	`jnl`	Efficient classification of multi-labeled text streams by clashing. Expert Syst. Appl. Ricardo Ñanculef, Ilias N. Flaounas, Nello Cristianini
2014	—	`conf`	On the coverage of science in the media: A big data study on the impact of the Fukushima disaster. IEEE BigData Thomas Lansdall-Welfare, Saatviga Sudhahar, Giuseppe A. Veltri, Nello Cristianini
2014	J	`jnl`	On the current paradigm in artificial intelligence. AI Commun. Nello Cristianini
2014	J	`jnl`	The Anatomy of a Modular System for Media Content Analysis. CoRR Ilias N. Flaounas, Thomas Lansdall-Welfare, Panagiota Antonakaki, Nello Cristianini
2013	J	`jnl`	Analysing Mood Patterns in the United Kingdom through Twitter Content CoRR Vasileios Lampos, Thomas Lansdall-Welfare, Ricardo Araya, Nello Cristianini
2013	A	`conf`	Finite-Time Analysis of Kernelised Contextual Bandits. UAI Michal Valko, Nathaniel Korda, Rémi Munos, Ilias N. Flaounas, Nello Cristianini
2013	J	`jnl`	Finite-Time Analysis of Kernelised Contextual Bandits. CoRR Michal Valko, Nathaniel Korda, Rémi Munos, Ilias N. Flaounas, Nello Cristianini
2013	J	`jnl`	Modelling and predicting news popularity. Pattern Anal. Appl. Elena Hensinger, Ilias N. Flaounas, Nello Cristianini
2012	—	`conf`	An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks. ICPRAM (2) Omar Ali, Giovanni Zappella, Tijl De Bie, Nello Cristianini
2012	J	`jnl`	An intelligent Web agent that autonomously learns how to translate. Web Intell. Agent Syst. Marco Turchi, Tijl De Bie, Nello Cristianini
2012	—	`conf`	Effects of the recession on public mood in the UK. WWW (Companion Volume) Thomas Lansdall-Welfare, Vasileios Lampos, Nello Cristianini
2012	A	`conf`	ElectionWatch: Detecting Patterns in News Coverage of US Elections. EACL Saatviga Sudhahar, Thomas Lansdall-Welfare, Ilias N. Flaounas, Nello Cristianini
2012	C	`conf`	Learning Machine Translation from In-domain and Out-of-domain Data. EAMT Marco Turchi, Cyril Goutte, Nello Cristianini
2012	J	`jnl`	Learning to Translate: A Statistical and Computational Analysis. Adv. Artif. Intell. Marco Turchi, Tijl De Bie, Cyril Goutte, Nello Cristianini
2012	J	`jnl`	Linguistic Phylogenetic Inference by PAM-like Matrices. J. Quant. Linguistics Antonella Delmestri, Nello Cristianini
2012	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I ECML/PKDD (1) Peter A. Flach, Tijl De Bie, Nello Cristianini
2012	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II ECML/PKDD (2) Peter A. Flach, Tijl De Bie, Nello Cristianini
2012	J	`jnl`	Nowcasting Events from the Social Web with Statistical Learning. ACM Trans. Intell. Syst. Technol. Vasileios Lampos, Nello Cristianini
2012	—	`conf`	Scalable Corpus Annotation by Graph Construction and Label Propagation. ICPRAM (1) Thomas Lansdall-Welfare, Ilias N. Flaounas, Nello Cristianini
2012	J	`jnl`	The NetCover algorithm for the reconstruction of causal networks. Neurocomputing Nick Fyson, Tijl De Bie, Nello Cristianini
2012	—	`conf`	What Makes Us Click? - Modelling and Predicting the Appeal of News Articles. ICPRAM (2) Elena Hensinger, Ilias N. Flaounas, Nello Cristianini
2011	B	`conf`	Automatic Discovery of Patterns in Media Content. CPM Nello Cristianini
2011	—	`conf`	Automating Quantitative Narrative Analysis of News Data. WAPA Saatviga Sudhahar, Roberto Franzosi, Nello Cristianini
2011	—	`conf`	Celebrity Watch: Browsing News Content by Exploiting Social Intelligence. ECML/PKDD (3) Omar Ali, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini
2011	J	`jnl`	Generic Multiplicative Methods for Implementing Machine Learning Algorithms on MapReduce CoRR Song Liu, Peter A. Flach, Nello Cristianini
2011	—	`conf`	Learning Readers' News Preferences with Support Vector Machines. ICANNGA (2) Elena Hensinger, Ilias N. Flaounas, Nello Cristianini
2011	—	`conf`	NOAM: news outlets analysis and monitoring system. SIGMOD Conference Ilias N. Flaounas, Omar Ali, Marco Turchi, Tristan Snowsill, Florent Nicart, Tijl De Bie, Nello Cristianini
2011	—	`conf`	Reconstruction of Causal Networks by Set Covering. ICANNGA (2) Nick Fyson, Tijl De Bie, Nello Cristianini
2011	A*	`conf`	Refining causality: who copied from whom? KDD Tristan Mark Snowsill, Nick Fyson, Tijl De Bie, Nello Cristianini
2010	—	`book`	An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Nello Cristianini, John Shawe-Taylor
2010	J	`jnl`	Are we there yet? Neural Networks Nello Cristianini
2010	—	`conf`	Automating News Content Analysis: An Application to Gender Bias and Readability. WAPA Omar Ali, Ilias N. Flaounas, Tijl De Bie, Nick Mosdell, Justin Lewis, Nello Cristianini
2010	—	`conf`	Detecting Events in a Million New York Times Articles. ECML/PKDD (3) Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini
2010	—	`conf`	Finding surprising patterns in textual data streams. CIP Tristan Snowsill, Florent Nicart, Marco Stefani, Tijl De Bie, Nello Cristianini
2010	—	`conf`	Flu Detector - Tracking Epidemics on Twitter. ECML/PKDD (3) Vasileios Lampos, Tijl De Bie, Nello Cristianini
2010	Misc	`conf`	Information Fusion for Entity Matching in Unstructured Data. AIAI Omar Ali, Nello Cristianini
2010	Misc	`conf`	Learning the Preferences of News Readers with SVM and Lasso Ranking. AIAI Elena Hensinger, Ilias N. Flaounas, Nello Cristianini
2010	—	`conf`	Predicting relations in news-media content among EU countries. CIP Ilias N. Flaounas, Nick Fyson, Nello Cristianini
2010	—	`conf`	Preface. WAPA Tom Diethe, Nello Cristianini, John Shawe-Taylor
2010	—	`ed.`	Proceedings of the First Workshop on Applications of Pattern Analysis, WAPA 2010, Cumberland Lodge, Windsor, UK, September 1-3, 2010 WAPA Tom Diethe, Nello Cristianini, John Shawe-Taylor
2010	J	`jnl`	Reconstruction of Causal Networks by Set Covering CoRR Nick Fyson, Tijl De Bie, Nello Cristianini
2010	—	`conf`	Tracking the flu pandemic by monitoring the social web. CIP Vasileios Lampos, Nello Cristianini
2010	—	`conf`	Wrapping up a Summary: From Representation to Generation. ACL (2) Josef Steinberger, Marco Turchi, Mijail A. Kabadjov, Ralf Steinberger, Nello Cristianini
2009	—	`conf`	An Intelligent Agent That Autonomously Learns How to Translate. IAT Marco Turchi, Tijl De Bie, Nello Cristianini
2009	—	`conf`	Are We There Yet?. ECML/PKDD (1) Nello Cristianini
2009	—	`conf`	Detecting Macro-patterns in the European Mediasphere. Web Intelligence/IAT Workshops Ilias N. Flaounas, Marco Turchi, Nello Cristianini
2009	C	`conf`	Estimating the Sentence-Level Quality of Machine Translation Systems. EAMT Lucia Specia, Marco Turchi, Nicola Cancedda, Nello Cristianini, Marc Dymetman
2009	—	`conf`	Found in Translation. ECML/PKDD (2) Marco Turchi, Ilias N. Flaounas, Omar Ali, Tijl De Bie, Tristan Snowsill, Nello Cristianini
2009	—	`conf`	Inference and Validation of Networks. ECML/PKDD (1) Ilias N. Flaounas, Marco Turchi, Tijl De Bie, Nello Cristianini
2009	—	`conf`	Learning to translate: a statistical and computational analysis. SMART@EAMT Marco Turchi, Tijl De Bie, Nello Cristianini
2009	—	`conf`	Sentence-level confidence estimation for MT. SMART@EAMT Lucia Specia, Nicola Cancedda, Marc Dymetman, Craig Saunders, Marco Turchi, Nello Cristianini, Zhuoran Wang, John Shawe-Taylor
2008	—	`conf`	Learning Performance of a Machine Translation System: a Statistical and Computational Analysis. WMT@ACL Marco Turchi, Tijl De Bie, Nello Cristianini
2008	—	`ch.`	Support Vector Machines. Encyclopedia of Algorithms Nello Cristianini, Elisa Ricci
2007	—	`conf`	Discriminative Sequence Labeling by Z-Score Optimization. ECML Elisa Ricci, Tijl De Bie, Nello Cristianini
2007	—	`book`	Introduction to computational genomics - a case studies approach. Nello Cristianini, Matthew W. Hahn
2007	B	`conf`	Learning to Align: A Statistical Approach. IDA Elisa Ricci, Tijl De Bie, Nello Cristianini
2007	—	`conf`	MINI: Mining Informative Non-redundant Itemsets. PKDD Arianna Gallo, Tijl De Bie, Nello Cristianini
2007	J	`jnl`	Modeling sequence evolution with kernel methods. Comput. Optim. Appl. Margherita Bresco, Marco Turchi, Tijl De Bie, Nello Cristianini
2007	C	`conf`	Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar. CIBCB Patricia Francis-Lyon, Nello Cristianini, Stephen R. Holbrook
2006	J	`jnl`	CAFE: a computational tool for the study of gene family evolution. Bioinform. Tijl De Bie, Nello Cristianini, Jeffery P. Demuth, Matthew W. Hahn
2006	J	`jnl`	Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem. J. Mach. Learn. Res. Tijl De Bie, Nello Cristianini
2006	—	`ch.`	Semi-Supervised Learning Using Semi-Definite Programming. Semi-Supervised Learning Tijl De Bie, Nello Cristianini
2005	J	`jnl`	Comparison of vector space model methodologies to reconcile cross-species neuroanatomical concepts. Neuroinformatics Prashanti R. Srinivas, Shang-Heng Wei, Nello Cristianini, Edward G. Jones, F. A. Gorin
2005	Misc	`conf`	Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. Pacific Symposium on Biocomputing Tijl De Bie, Patrick Monsieurs, Kristof Engelen, Bart De Moor, Nello Cristianini, Kathleen Marchal
2005	J	`jnl`	On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA. IEEE Trans. Inf. Theory John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola
2004	J	`jnl`	A statistical framework for genomic data fusion. Bioinform. Gert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble
2004	—	`conf`	Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data. SSPR/SPR Tijl De Bie, Nello Cristianini
2004	—	`book`	Kernel Methods for Pattern Analysis. John Shawe-Taylor, Nello Cristianini
2004	—	`book`	Kernel Methods for Pattern Analysis. John Shawe-Taylor, Nello Cristianini
2004	Misc	`conf`	Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast. Pacific Symposium on Biocomputing Gert R. G. Lanckriet, Minghua Deng, Nello Cristianini, Michael I. Jordan, William Stafford Noble
2004	J	`jnl`	Learning the Kernel Matrix with Semidefinite Programming. J. Mach. Learn. Res. Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan
2003	—	`conf`	Convex Methods for Transduction. NIPS Tijl De Bie, Nello Cristianini
2003	B	`conf`	Efficiently Learning the Metric with Side-Information. ALT Tijl De Bie, Michinari Momma, Nello Cristianini
2003	B	`conf`	Kernel Methods for Pattern Analysis. ICTAI Nello Cristianini
2002	J	`jnl`	Editorial: Kernel Methods: Current Research and Future Directions. Mach. Learn. Nello Cristianini, Colin Campbell, Chris Burges
2002	—	`conf`	Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis. NIPS Alexei Vinokourov, John Shawe-Taylor, Nello Cristianini
2002	J	`jnl`	Latent Semantic Kernels. J. Intell. Inf. Syst. Nello Cristianini, John Shawe-Taylor, Huma Lodhi
2002	—	`conf`	Learning Semantic Similarity. NIPS Jaz S. Kandola, John Shawe-Taylor, Nello Cristianini
2002	A*	`conf`	Learning the Kernel Matrix with Semi-Definite Programming. ICML Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan
2002	B	`conf`	On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. ALT John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola
2002	B	`conf`	On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. Discovery Science John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola
2002	J	`jnl`	On the generalization of soft margin algorithms. IEEE Trans. Inf. Theory John Shawe-Taylor, Nello Cristianini
2002	J	`jnl`	Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. AI Mag. Nello Cristianini, Bernhard Schölkopf
2002	J	`jnl`	Text Classification using String Kernels. J. Mach. Learn. Res. Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins
2001	A*	`conf`	Composite Kernels for Hypertext Categorisation. ICML Thorsten Joachims, Nello Cristianini, John Shawe-Taylor
2001	A*	`conf`	Latent Semantic Kernels. ICML Nello Cristianini, John Shawe-Taylor, Huma Lodhi
2001	—	`conf`	On Kernel-Target Alignment. NIPS Nello Cristianini, John Shawe-Taylor, André Elisseeff, Jaz S. Kandola
2001	—	`conf`	On the Concentration of Spectral Properties. NIPS John Shawe-Taylor, Nello Cristianini, Jaz S. Kandola
2001	—	`conf`	Spectral Kernel Methods for Clustering. NIPS Nello Cristianini, John Shawe-Taylor, Jaz S. Kandola
2000	—	`book`	An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Nello Cristianini, John Shawe-Taylor
2000	J	`jnl`	Enlarging the Margins in Perceptron Decision Trees. Mach. Learn. Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu
2000	C	`conf`	Large margin strategies in machine learning. ISCAS Nello Cristianini
2000	A*	`conf`	Query Learning with Large Margin Classifiers. ICML Colin Campbell, Nello Cristianini, Alexander J. Smola
2000	J	`jnl`	Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinform. Terrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michèl Schummer, David Haussler
2000	—	`conf`	Text Classification using String Kernels. NIPS Huma Lodhi, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins
1999	B	`conf`	A multiplicative updating algorithm for training support vector machine. ESANN Nello Cristianini, Colin Campbell, John Shawe-Taylor
1999	A*	`conf`	Further Results on the Margin Distribution. COLT John Shawe-Taylor, Nello Cristianini
1999	—	`conf`	Generalization Performance of Classifiers in Terms of Observed Covering Numbers. EuroCOLT John Shawe-Taylor, Nello Cristianini
1999	—	`conf`	Large Margin DAGs for Multiclass Classification. NIPS John C. Platt, Nello Cristianini, John Shawe-Taylor
1999	A*	`conf`	Large Margin Trees for Induction and Transduction. ICML Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor
1999	—	`conf`	Margin Distribution Bounds on Generalization. EuroCOLT John Shawe-Taylor, Nello Cristianini
1998	A*	`conf`	Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. ICML Nello Cristianini, John Shawe-Taylor, Peter Sykacek
1998	—	`conf`	Dynamically Adapting Kernels in Support Vector Machines. NIPS Nello Cristianini, Colin Campbell, John Shawe-Taylor
1998	A*	`conf`	The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. ICML Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell
1997	—	`conf`	Data-Dependent Structural Risk Minimization for Perceptron Decision Trees. NIPS John Shawe-Taylor, Nello Cristianini