| 2023 | IDA | QBERT: Generalist Model for Processing Questions. | Zhaozhen Xu, Nello Cristianini |
| 2023 | IDA | On Compositionality in Data Embedding. | Zhaozhen Xu, Zhijin Guo, Nello Cristianini |
| 2022 | ICFHR | Self-attention Networks for Non-recurrent Handwritten Text Recognition. | Rafael d'Arce, Terence J. T. Norton, Sion L. Hannuna, Nello Cristianini |
| 2018 | IDA | Fact Checking from Natural Text with Probabilistic Soft Logic. | Nouf Bindris, Saatviga Sudhahar, Nello Cristianini |
| 2018 | IDA | Right for the Right Reason: Training Agnostic Networks. | Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini |
| 2018 | IDA | Detecting Shifts in Public Opinion: A Big Data Study of Global News Content. | Saatviga Sudhahar, Nello Cristianini |
| 2018 | IDA | Biased Embeddings from Wild Data: Measuring, Understanding and Removing. | Adam Sutton, Thomas Lansdall-Welfare, Nello Cristianini |
| 2017 | IDA | Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases. | Fabon Dzogang, James Goulding, Stafford Lightman, Nello Cristianini |
| 2017 | IDA | Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes. | Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini |
| 2017 | IDA | 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 |
| 2016 | ICDM | Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts. | Fabon Dzogang, Thomas Lansdall-Welfare, Nello Cristianini |
| 2016 | ICDM | Gender Classification by Deep Learning on Millions of Weakly Labelled Images. | Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini |
| 2016 | ICDM | Change-Point Analysis of the Public Mood in UK Twitter during the Brexit Referendum. | Thomas Lansdall-Welfare, Fabon Dzogang, Nello Cristianini |
| 2015 | ICPRAM | ThinkBIG - Understanding the Impact of Big Data on Science and Society. | Nello Cristianini |
| 2015 | WWW | Scalable Preference Learning from Data Streams. | Fabon Dzogang, Thomas Lansdall-Welfare, Saatviga Sudhahar, Nello Cristianini |
| 2015 | WWW | Measuring Gender Bias in News Images. | Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini |
| 2013 | UAI | Finite-Time Analysis of Kernelised Contextual Bandits. | Michal Valko, Nathaniel Korda, Rmi Munos, Ilias N. Flaounas, Nello Cristianini |
| 2012 | EACL | ElectionWatch: Detecting Patterns in News Coverage of US Elections. | Saatviga Sudhahar, Thomas Lansdall-Welfare, Ilias N. Flaounas, Nello Cristianini |
| 2012 | EAMT | Learning Machine Translation from In-domain and Out-of-domain Data. | Marco Turchi, Cyril Goutte, Nello Cristianini |
| 2012 | ICPRAM | An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks. | Omar Ali, Giovanni Zappella, Tijl De Bie, Nello Cristianini |
| 2012 | ICPRAM | What Makes Us Click? - Modelling and Predicting the Appeal of News Articles. | Elena Hensinger, Ilias N. Flaounas, Nello Cristianini |
| 2012 | ICPRAM | Scalable Corpus Annotation by Graph Construction and Label Propagation. | Thomas Lansdall-Welfare, Ilias N. Flaounas, Nello Cristianini |
| 2012 | WWW | Effects of the recession on public mood in the UK. | Thomas Lansdall-Welfare, Vasileios Lampos, Nello Cristianini |
| 2011 | CPM | Automatic Discovery of Patterns in Media Content. | Nello Cristianini |
| 2011 | KDD | Refining causality: who copied from whom? | Tristan Mark Snowsill, Nick Fyson, Tijl De Bie, Nello Cristianini |
| 2011 | SIGMOD | NOAM: news outlets analysis and monitoring system. | Ilias N. Flaounas, Omar Ali, Marco Turchi, Tristan Snowsill, Florent Nicart, Tijl De Bie, Nello Cristianini |
| 2010 | ACL | Wrapping up a Summary: From Representation to Generation. | Josef Steinberger, Marco Turchi, Mijail A. Kabadjov, Ralf Steinberger, Nello Cristianini |
| 2009 | EAMT | Sentence-level confidence estimation for MT. | Lucia Specia, Nicola Cancedda, Marc Dymetman, Craig Saunders, Marco Turchi, Nello Cristianini, Zhuoran Wang, John Shawe-Taylor |
| 2009 | EAMT | Estimating the Sentence-Level Quality of Machine Translation Systems. | Lucia Specia, Marco Turchi, Nicola Cancedda, Nello Cristianini, Marc Dymetman |
| 2009 | EAMT | Learning to translate: a statistical and computational analysis. | Marco Turchi, Tijl De Bie, Nello Cristianini |
| 2007 | CIBCB | Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar. | Patricia Francis-Lyon, Nello Cristianini, Stephen R. Holbrook |
| 2007 | IDA | Learning to Align: A Statistical Approach. | Elisa Ricci, Tijl De Bie, Nello Cristianini |
| 2005 | PSB | Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. | Tijl De Bie, Patrick Monsieurs, Kristof Engelen, Bart De Moor, Nello Cristianini, Kathleen Marchal |
| 2004 | PSB | 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 |
| 2004 | SSPR | Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data. | Tijl De Bie, Nello Cristianini |
| 2003 | ALT | Efficiently Learning the Metric with Side-Information. | Tijl De Bie, Michinari Momma, Nello Cristianini |
| 2003 | ICTAI | Kernel Methods for Pattern Analysis. | Nello Cristianini |
| 2002 | ALT | 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 |
| 2002 | DIS | 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 |
| 2002 | ICML | Learning the Kernel Matrix with Semi-Definite Programming. | Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan |
| 2001 | ICML | Latent Semantic Kernels. | Nello Cristianini, John Shawe-Taylor, Huma Lodhi |
| 2001 | ICML | Composite Kernels for Hypertext Categorisation. | Thorsten Joachims, Nello Cristianini, John Shawe-Taylor |
| 2000 | ICML | Query Learning with Large Margin Classifiers. | Colin Campbell, Nello Cristianini, Alexander J. Smola |
| 2000 | ISCAS | Large margin strategies in machine learning. | Nello Cristianini |
| 1999 | COLT | Further Results on the Margin Distribution. | John Shawe-Taylor, Nello Cristianini |
| 1999 | ESANN | A multiplicative updating algorithm for training support vector machine. | Nello Cristianini, Colin Campbell, John Shawe-Taylor |
| 1999 | ICML | Large Margin Trees for Induction and Transduction. | Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor |
| 1998 | ICML | Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. | Nello Cristianini, John Shawe-Taylor, Peter Sykacek |
| 1998 | ICML | The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. | Thilo-Thomas Frie, Nello Cristianini, Colin Campbell |