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ORCIDNello Cristianini
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- affiliation: University of Bristol, UK
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2020 – today
- 2023
[j33]Nello Cristianini, Teresa Scantamburlo
, James Ladyman:
The social turn of artificial intelligence. AI Soc. 38(1): 89-96 (2023)- [c86]Zhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini:
EXTRACT: Explainable Transparent Control of Bias in Embeddings. AEQUITAS@ECAI 2023 - [c85]Zhaozhen Xu, Nello Cristianini:
QBERT: Generalist Model for Processing Questions. IDA 2023: 472-483 - [c84]Zhaozhen Xu, Zhijin Guo, Nello Cristianini:
On Compositionality in Data Embedding. IDA 2023: 484-496 - [i16]Zhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini:
EXTRACT: Explainable Transparent Control of Bias in Embeddings. CoRR abs/2311.00115 (2023) - [i15]Zhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini:
Compositional Fusion of Signals in Data Embedding. CoRR abs/2311.11085 (2023) - 2022
- [c83]Rafael d'Arce, Terence J. T. Norton, Sion Hannuna, Nello Cristianini:
Self-attention Networks for Non-recurrent Handwritten Text Recognition. ICFHR 2022: 389-403 - [i14]Zhaozhen Xu, Nello Cristianini:
QBERT: Generalist Model for Processing Questions. CoRR abs/2212.01967 (2022) - 2021
- [i13]Zhaozhen Xu, Amelia Howarth, Nicole Briggs, Nello Cristianini:
What makes us curious? analysis of a corpus of open-domain questions. CoRR abs/2110.15409 (2021) - 2020
- [j32]Nello Cristianini, Teresa Scantamburlo:
On social machines for algorithmic regulation. AI Soc. 35(3): 645-662 (2020) - [j31]Thomas Lansdall-Welfare, Nello Cristianini:
History playground: A tool for discovering temporal trends in massive textual corpora. Digit. Scholarsh. Humanit. 35(2): 328-341 (2020) - [j30]Nouf Bindris, Nello Cristianini, Jonathan Lawry:
Claim Consistency Checking Using Soft Logic. Mach. Learn. Knowl. Extr. 2(3): 147-171 (2020) - [c82]Adam Sutton, Nello Cristianini:
On the Learnability of Concepts - With Applications to Comparing Word Embedding Algorithms. AIAI (2) 2020: 420-432 - [i12]Adam Sutton, Nello Cristianini:
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms. CoRR abs/2006.09896 (2020)
2010 – 2019
- 2019
- [j29]Christopher Burr, Nello Cristianini:
Can Machines Read our Minds? Minds Mach. 29(3): 461-494 (2019) - [i11]Nello Cristianini, Teresa Scantamburlo:
On Social Machines for Algorithmic Regulation. CoRR abs/1904.13316 (2019) - 2018
- [j28]Christopher Burr, Nello Cristianini, James Ladyman:
An Analysis of the Interaction Between Intelligent Software Agents and Human Users. Minds Mach. 28(4): 735-774 (2018) - [c81]Nouf Bindris, Saatviga Sudhahar, Nello Cristianini:
Fact Checking from Natural Text with Probabilistic Soft Logic. IDA 2018: 52-61 - [c80]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Right for the Right Reason: Training Agnostic Networks. IDA 2018: 164-174 - [c79]Saatviga Sudhahar, Nello Cristianini:
Detecting Shifts in Public Opinion: A Big Data Study of Global News Content. IDA 2018: 316-327 - [c78]Adam Sutton, Thomas Lansdall-Welfare, Nello Cristianini:
Biased Embeddings from Wild Data: Measuring, Understanding and Removing. IDA 2018: 328-339 - [i10]Thomas Lansdall-Welfare, Nello Cristianini:
History Playground: A Tool for Discovering Temporal Trends in Massive Textual Corpora. CoRR abs/1806.01185 (2018) - [i9]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Right for the Right Reason: Training Agnostic Networks. CoRR abs/1806.06296 (2018) - [i8]Adam Sutton, Thomas Lansdall-Welfare, Nello Cristianini:
Biased Embeddings from Wild Data: Measuring, Understanding and Removing. CoRR abs/1806.06301 (2018) - [i7]Teresa Scantamburlo, Andrew Charlesworth, Nello Cristianini:
Machine Decisions and Human Consequences. CoRR abs/1811.06747 (2018) - 2017
- [j27]Thomas Lansdall-Welfare, Saatviga Sudhahar, James Thompson, Justin Lewis, FindMyPast Newspaper Team, Nello Cristianini:
Content analysis of 150 years of British periodicals. Proc. Natl. Acad. Sci. USA 114(4): E457-E465 (2017) - [c77]Fabon Dzogang, James Goulding, Stafford Lightman, Nello Cristianini:
Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases. IDA 2017: 63-74 - [c76]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes. IDA 2017: 138-148 - [c75]Thomas Lansdall-Welfare, Saatviga Sudhahar, James Thompson, Nello Cristianini:
The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950. IDA 2017: 186-197 - 2016
- [c74]Thomas Lansdall-Welfare, Fabon Dzogang, Nello Cristianini:
Change-Point Analysis of the Public Mood in UK Twitter during the Brexit Referendum. ICDM Workshops 2016: 434-439 - [c73]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Gender Classification by Deep Learning on Millions of Weakly Labelled Images. ICDM Workshops 2016: 462-467 - [c72]Fabon Dzogang, Thomas Lansdall-Welfare, Nello Cristianini:
Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts. ICDM Workshops 2016: 931-937 - [c71]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Time Series Analysis of Garment Distributions via Street Webcam. ICIAR 2016: 765-773 - [r2]Nello Cristianini, Elisa Ricci:
Support Vector Machines. Encyclopedia of Algorithms 2016: 2170-2174 - [i6]Ricardo Ñanculef, Ilias N. Flaounas, Nello Cristianini:
Efficient Classification of Multi-Labelled Text Streams by Clashing. CoRR abs/1604.03200 (2016) - 2015
- [j26]Saatviga Sudhahar, Giuseppe A. Veltri, Nello Cristianini:
Automated analysis of the US presidential elections using Big Data and network analysis. Big Data Soc. 2(1): 205395171557291 (2015) - [j25]Saatviga Sudhahar, Gianluca de Fazio, Roberto Franzosi, Nello Cristianini:
Network analysis of narrative content in large corpora. Nat. Lang. Eng. 21(1): 81-112 (2015) - [j24]Sen Jia, Nello Cristianini:
Learning to classify gender from four million images. Pattern Recognit. Lett. 58: 35-41 (2015) - [c70]Nello Cristianini:
ThinkBIG - Understanding the Impact of Big Data on Science and Society. ICPRAM (1) 2015: IS-7 - [c69]Fabon Dzogang, Thomas Lansdall-Welfare, Saatviga Sudhahar, Nello Cristianini:
Scalable Preference Learning from Data Streams. WWW (Companion Volume) 2015: 885-890 - [c68]Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini:
Measuring Gender Bias in News Images. WWW (Companion Volume) 2015: 893-898 - 2014
- [j23]Nello Cristianini:
On the current paradigm in artificial intelligence. AI Commun. 27(1): 37-43 (2014) - [j22]Ricardo Ñanculef, Ilias N. Flaounas, Nello Cristianini:
Efficient classification of multi-labeled text streams by clashing. Expert Syst. Appl. 41(11): 5431-5450 (2014) - [c67]Thomas Lansdall-Welfare, Saatviga Sudhahar, Giuseppe A. Veltri, Nello Cristianini:
On the coverage of science in the media: A big data study on the impact of the Fukushima disaster. IEEE BigData 2014: 60-66 - [i5]Ilias N. Flaounas, Thomas Lansdall-Welfare, Panagiota Antonakaki, Nello Cristianini:
The Anatomy of a Modular System for Media Content Analysis. CoRR abs/1402.6208 (2014) - 2013
- [j21]Elena Hensinger, Ilias N. Flaounas, Nello Cristianini:
Modelling and predicting news popularity. Pattern Anal. Appl. 16(4): 623-635 (2013) - [c66]Michal Valko, Nathaniel Korda, Rémi Munos, Ilias N. Flaounas, Nello Cristianini:
Finite-Time Analysis of Kernelised Contextual Bandits. UAI 2013 - [i4]Vasileios Lampos, Thomas Lansdall-Welfare, Ricardo Araya, Nello Cristianini:
Analysing Mood Patterns in the United Kingdom through Twitter Content. CoRR abs/1304.5507 (2013) - [i3]Michal Valko, Nathaniel Korda, Rémi Munos, Ilias N. Flaounas, Nello Cristianini:
Finite-Time Analysis of Kernelised Contextual Bandits. CoRR abs/1309.6869 (2013) - 2012
- [j20]Marco Turchi, Tijl De Bie, Cyril Goutte, Nello Cristianini:
Learning to Translate: A Statistical and Computational Analysis. Adv. Artif. Intell. 2012: 484580:1-484580:15 (2012) - [j19]Nick Fyson, Tijl De Bie, Nello Cristianini:
The NetCover algorithm for the reconstruction of causal networks. Neurocomputing 96: 19-28 (2012) - [j18]Antonella Delmestri, Nello Cristianini:
Linguistic Phylogenetic Inference by PAM-like Matrices. J. Quant. Linguistics 19(2): 95-120 (2012) - [j17]Vasileios Lampos, Nello Cristianini:
Nowcasting Events from the Social Web with Statistical Learning. ACM Trans. Intell. Syst. Technol. 3(4): 72:1-72:22 (2012) - [j16]Marco Turchi, Tijl De Bie, Nello Cristianini:
An intelligent Web agent that autonomously learns how to translate. Web Intell. Agent Syst. 10(2): 165-178 (2012) - [c65]Saatviga Sudhahar, Thomas Lansdall-Welfare, Ilias N. Flaounas, Nello Cristianini:
ElectionWatch: Detecting Patterns in News Coverage of US Elections. EACL 2012: 82-86 - [c64]Marco Turchi, Cyril Goutte, Nello Cristianini:
Learning Machine Translation from In-domain and Out-of-domain Data. EAMT 2012: 305-312 - [c63]Thomas Lansdall-Welfare, Ilias N. Flaounas, Nello Cristianini:
Scalable Corpus Annotation by Graph Construction and Label Propagation. ICPRAM (1) 2012: 25-34 - [c62]Elena Hensinger, Ilias N. Flaounas, Nello Cristianini:
What Makes Us Click? - Modelling and Predicting the Appeal of News Articles. ICPRAM (2) 2012: 41-50 - [c61]Omar Ali, Giovanni Zappella, Tijl De Bie, Nello Cristianini:
An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks. ICPRAM (2) 2012: 259-268 - [c60]Thomas Lansdall-Welfare, Vasileios Lampos, Nello Cristianini:
Effects of the recession on public mood in the UK. WWW (Companion Volume) 2012: 1221-1226 - [e3]Peter A. Flach, Tijl De Bie, Nello Cristianini:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I. Lecture Notes in Computer Science 7523, Springer 2012, ISBN 978-3-642-33459-7 [contents] - [e2]Peter A. Flach, Tijl De Bie, Nello Cristianini:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II. Lecture Notes in Computer Science 7524, Springer 2012, ISBN 978-3-642-33485-6 [contents] - 2011
- [c59]Nello Cristianini:
Automatic Discovery of Patterns in Media Content. CPM 2011: 2-13 - [c58]Nick Fyson, Tijl De Bie, Nello Cristianini:
Reconstruction of Causal Networks by Set Covering. ICANNGA (2) 2011: 196-205 - [c57]Elena Hensinger, Ilias N. Flaounas, Nello Cristianini:
Learning Readers' News Preferences with Support Vector Machines. ICANNGA (2) 2011: 322-331 - [c56]Tristan Mark Snowsill, Nick Fyson, Tijl De Bie, Nello Cristianini:
Refining causality: who copied from whom? KDD 2011: 466-474 - [c55]Omar Ali, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini:
Celebrity Watch: Browsing News Content by Exploiting Social Intelligence. ECML/PKDD (3) 2011: 613-616 - [c54]Ilias N. Flaounas, Omar Ali, Marco Turchi, Tristan Snowsill, Florent Nicart, Tijl De Bie, Nello Cristianini:
NOAM: news outlets analysis and monitoring system. SIGMOD Conference 2011: 1275-1278 - [c53]Saatviga Sudhahar, Roberto Franzosi, Nello Cristianini:
Automating Quantitative Narrative Analysis of News Data. WAPA 2011: 63-71 - [i2]Song Liu, Peter A. Flach, Nello Cristianini:
Generic Multiplicative Methods for Implementing Machine Learning Algorithms on MapReduce. CoRR abs/1111.2111 (2011) - 2010
- [b5]Nello Cristianini, John Shawe-Taylor:
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press 2010, ISBN 978-0-521-78019-3, pp. I-XIII, 1-189 - [j15]Nello Cristianini:
Are we there yet? Neural Networks 23(4): 466-470 (2010) - [c52]Josef Steinberger, Marco Turchi, Mijail A. Kabadjov, Ralf Steinberger, Nello Cristianini:
Wrapping up a Summary: From Representation to Generation. ACL (2) 2010: 382-386 - [c51]Ilias N. Flaounas, Nick Fyson, Nello Cristianini:
Predicting relations in news-media content among EU countries. CIP 2010: 269-274 - [c50]Tristan Snowsill, Florent Nicart, Marco Stefani, Tijl De Bie, Nello Cristianini:
Finding surprising patterns in textual data streams. CIP 2010: 405-410 - [c49]Vasileios Lampos, Nello Cristianini:
Tracking the flu pandemic by monitoring the social web. CIP 2010: 411-416 - [c48]Omar Ali, Nello Cristianini:
Information Fusion for Entity Matching in Unstructured Data. AIAI 2010: 162-169 - [c47]Elena Hensinger, Ilias N. Flaounas, Nello Cristianini:
Learning the Preferences of News Readers with SVM and Lasso Ranking. AIAI 2010: 179-186 - [c46]Vasileios Lampos, Tijl De Bie, Nello Cristianini:
Flu Detector - Tracking Epidemics on Twitter. ECML/PKDD (3) 2010: 599-602 - [c45]Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, Nello Cristianini:
Detecting Events in a Million New York Times Articles. ECML/PKDD (3) 2010: 615-618 - [c44]Tom Diethe, Nello Cristianini, John Shawe-Taylor:
Preface. WAPA 2010: 1-3 - [c43]Omar Ali, Ilias N. Flaounas, Tijl De Bie, Nick Mosdell, Justin Lewis, Nello Cristianini:
Automating News Content Analysis: An Application to Gender Bias and Readability. WAPA 2010: 36-43 - [e1]Tom Diethe, Nello Cristianini, John Shawe-Taylor:
Proceedings of the First Workshop on Applications of Pattern Analysis, WAPA 2010, Cumberland Lodge, Windsor, UK, September 1-3, 2010. JMLR Proceedings 11, JMLR.org 2010 [contents] - [i1]Nick Fyson, Tijl De Bie, Nello Cristianini:
Reconstruction of Causal Networks by Set Covering. CoRR abs/1006.0849 (2010)
2000 – 2009
- 2009
- [c42]Lucia Specia, Nicola Cancedda, Marc Dymetman, Craig Saunders, Marco Turchi, Nello Cristianini, Zhuoran Wang, John Shawe-Taylor:
Sentence-level confidence estimation for MT. SMART@EAMT 2009 - [c41]Lucia Specia, Marco Turchi, Nicola Cancedda, Nello Cristianini, Marc Dymetman:
Estimating the Sentence-Level Quality of Machine Translation Systems. EAMT 2009 - [c40]Marco Turchi, Tijl De Bie, Nello Cristianini:
Learning to translate: a statistical and computational analysis. SMART@EAMT 2009 - [c39]Marco Turchi, Tijl De Bie, Nello Cristianini:
An Intelligent Agent That Autonomously Learns How to Translate. IAT 2009: 12-19 - [c38]Ilias N. Flaounas, Marco Turchi, Nello Cristianini:
Detecting Macro-patterns in the European Mediasphere. Web Intelligence/IAT Workshops 2009: 527-530 - [c37]Nello Cristianini:
Are We There Yet?. ECML/PKDD (1) 2009: 2 - [c36]Ilias N. Flaounas, Marco Turchi, Tijl De Bie, Nello Cristianini:
Inference and Validation of Networks. ECML/PKDD (1) 2009: 344-358 - [c35]Marco Turchi, Ilias N. Flaounas, Omar Ali, Tijl De Bie, Tristan Snowsill, Nello Cristianini:
Found in Translation. ECML/PKDD (2) 2009: 746-749 - 2008
- [c34]Marco Turchi, Tijl De Bie, Nello Cristianini:
Learning Performance of a Machine Translation System: a Statistical and Computational Analysis. WMT@ACL 2008: 35-43 - [r1]Nello Cristianini, Elisa Ricci:
Support Vector Machines. Encyclopedia of Algorithms 2008 - 2007
- [b4]Nello Cristianini, Matthew W. Hahn:
Introduction to computational genomics - a case studies approach. Cambridge University Press 2007, pp. I-XVII, 1-182 - [j14]Margherita Bresco, Marco Turchi, Tijl De Bie, Nello Cristianini:
Modeling sequence evolution with kernel methods. Comput. Optim. Appl. 38(2): 281-298 (2007) - [c33]Patricia Francis-Lyon, Nello Cristianini, Stephen R. Holbrook:
Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar. CIBCB 2007: 170-177 - [c32]Elisa Ricci, Tijl De Bie, Nello Cristianini:
Discriminative Sequence Labeling by Z-Score Optimization. ECML 2007: 274-285 - [c31]Elisa Ricci, Tijl De Bie, Nello Cristianini:
Learning to Align: A Statistical Approach. IDA 2007: 25-36 - [c30]Arianna Gallo, Tijl De Bie, Nello Cristianini:
MINI: Mining Informative Non-redundant Itemsets. PKDD 2007: 438-445 - 2006
- [j13]Tijl De Bie, Nello Cristianini, Jeffery P. Demuth, Matthew W. Hahn:
CAFE: a computational tool for the study of gene family evolution. Bioinform. 22(10): 1269-1271 (2006) - [j12]Tijl De Bie, Nello Cristianini:
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem. J. Mach. Learn. Res. 7: 1409-1436 (2006) - [p1]Tijl De Bie, Nello Cristianini:
Semi-Supervised Learning Using Semi-Definite Programming. Semi-Supervised Learning 2006: 118-135 - 2005
- [j11]Prashanti R. Srinivas, Shang-Heng Wei, Nello Cristianini, Edward G. Jones, F. A. Gorin:
Comparison of vector space model methodologies to reconcile cross-species neuroanatomical concepts. Neuroinformatics 3(2): 115-131 (2005) - [j10]John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola:
On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA. IEEE Trans. Inf. Theory 51(7): 2510-2522 (2005) - [c29]Tijl De Bie, Patrick Monsieurs, Kristof Engelen, Bart De Moor, Nello Cristianini, Kathleen Marchal:
Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. Pacific Symposium on Biocomputing 2005 - 2004
- [b3]John Shawe-Taylor, Nello Cristianini:
Kernel Methods for Pattern Analysis. Cambridge University Press 2004, ISBN 9780511809682 - [b2]John Shawe-Taylor, Nello Cristianini:
Kernel Methods for Pattern Analysis. Cambridge University Press 2004, ISBN 978-0-521-81397-6, pp. I-XIV, 1-462 - [j9]Gert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble:
A statistical framework for genomic data fusion. Bioinform. 20(16): 2626-2635 (2004) - [j8]Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan:
Learning the Kernel Matrix with Semidefinite Programming. J. Mach. Learn. Res. 5: 27-72 (2004) - [c28]Gert R. G. Lanckriet, Minghua Deng, Nello Cristianini, Michael I. Jordan, William Stafford Noble:
Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast. Pacific Symposium on Biocomputing 2004: 300-311 - [c27]Tijl De Bie, Nello Cristianini:
Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data. SSPR/SPR 2004: 16-29 - 2003
- [c26]Tijl De Bie, Michinari Momma, Nello Cristianini:
Efficiently Learning the Metric with Side-Information. ALT 2003: 175-189 - [c25]Nello Cristianini:
Kernel Methods for Pattern Analysis. ICTAI 2003 - [c24]Tijl De Bie, Nello Cristianini:
Convex Methods for Transduction. NIPS 2003: 73-80 - 2002
- [j7]Nello Cristianini, Bernhard Schölkopf:
Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. AI Mag. 23(3): 31-42 (2002) - [j6]Nello Cristianini, John Shawe-Taylor, Huma Lodhi:
Latent Semantic Kernels. J. Intell. Inf. Syst. 18(2-3): 127-152 (2002) - [j5]Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins:
Text Classification using String Kernels. J. Mach. Learn. Res. 2: 419-444 (2002) - [j4]Nello Cristianini, Colin Campbell, Chris Burges:
Editorial: Kernel Methods: Current Research and Future Directions. Mach. Learn. 46(1-3): 5-9 (2002) - [j3]John Shawe-Taylor, Nello Cristianini:
On the generalization of soft margin algorithms. IEEE Trans. Inf. Theory 48(10): 2721-2735 (2002) - [c23]John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola:
On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. ALT 2002: 23-40 - [c22]John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola:
On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. Discovery Science 2002: 12 - [c21]Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan:
Learning the Kernel Matrix with Semi-Definite Programming. ICML 2002: 323-330 - [c20]Jaz S. Kandola, John Shawe-Taylor, Nello Cristianini:
Learning Semantic Similarity. NIPS 2002: 657-664 - [c19]Alexei Vinokourov, John Shawe-Taylor, Nello Cristianini:
Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis. NIPS 2002: 1473-1480 - 2001
- [c18]Nello Cristianini, John Shawe-Taylor, Huma Lodhi:
Latent Semantic Kernels. ICML 2001: 66-73 - [c17]Thorsten Joachims, Nello Cristianini, John Shawe-Taylor:
Composite Kernels for Hypertext Categorisation. ICML 2001: 250-257 - [c16]Nello Cristianini, John Shawe-Taylor, André Elisseeff, Jaz S. Kandola:
On Kernel-Target Alignment. NIPS 2001: 367-373 - [c15]John Shawe-Taylor, Nello Cristianini, Jaz S. Kandola:
On the Concentration of Spectral Properties. NIPS 2001: 511-517 - [c14]Nello Cristianini, John Shawe-Taylor, Jaz S. Kandola:
Spectral Kernel Methods for Clustering. NIPS 2001: 649-655 - 2000
- [b1]Nello Cristianini, John Shawe-Taylor:
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press 2000, ISBN 9780511801389 - [j2]Terrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michèl Schummer, David Haussler:
Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinform. 16(10): 906-914 (2000) - [j1]Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu:
Enlarging the Margins in Perceptron Decision Trees. Mach. Learn. 41(3): 295-313 (2000) - [c13]Colin Campbell, Nello Cristianini, Alexander J. Smola:
Query Learning with Large Margin Classifiers. ICML 2000: 111-118 - [c12]Nello Cristianini:
Large margin strategies in machine learning. ISCAS 2000: 753-756 - [c11]Huma Lodhi, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins:
Text Classification using String Kernels. NIPS 2000: 563-569
1990 – 1999
- 1999
- [c10]John Shawe-Taylor, Nello Cristianini:
Further Results on the Margin Distribution. COLT 1999: 278-285 - [c9]Nello Cristianini, Colin Campbell, John Shawe-Taylor:
A multiplicative updating algorithm for training support vector machine. ESANN 1999: 189-194 - [c8]John Shawe-Taylor, Nello Cristianini:
Margin Distribution Bounds on Generalization. EuroCOLT 1999: 263-273 - [c7]John Shawe-Taylor, Nello Cristianini:
Generalization Performance of Classifiers in Terms of Observed Covering Numbers. EuroCOLT 1999: 274-284 - [c6]Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor:
Large Margin Trees for Induction and Transduction. ICML 1999: 474-483 - [c5]John C. Platt, Nello Cristianini, John Shawe-Taylor:
Large Margin DAGs for Multiclass Classification. NIPS 1999: 547-553 - 1998
- [c4]Nello Cristianini, John Shawe-Taylor, Peter Sykacek:
Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. ICML 1998: 109-117 - [c3]Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell:
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. ICML 1998: 188-196 - [c2]Nello Cristianini, Colin Campbell, John Shawe-Taylor:
Dynamically Adapting Kernels in Support Vector Machines. NIPS 1998: 204-210 - 1997
- [c1]John Shawe-Taylor, Nello Cristianini:
Data-Dependent Structural Risk Minimization for Perceptron Decision Trees. NIPS 1997: 336-342
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-07 21:21 CEST by the dblp team
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