Nello Cristianini

	2012
78		Saatviga Sudhahar, Thomas Lansdall-Welfare, Ilias N. Flaounas, Nello Cristianini: ElectionWatch: Detecting Patterns in News Coverage of US Elections. EACL 2012: 82-86
77		Thomas Lansdall-Welfare, Ilias N. Flaounas, Nello Cristianini: Scalable Corpus Annotation by Graph Construction and Label Propagation. ICPRAM (1) 2012: 25-34
76		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
75		Elena Hensinger, Ilias N. Flaounas, Nello Cristianini: What Makes Us Click? - Modelling and Predicting the Appeal of News Articles. ICPRAM (2) 2012: 41-50
74		Thomas Lansdall-Welfare, Vasileios Lampos, Nello Cristianini: Effects of the recession on public mood in the UK. WWW (Companion Volume) 2012: 1221-1226
73		Antonella Delmestri, Nello Cristianini: Linguistic Phylogenetic Inference by PAM-like Matrices. Journal of Quantitative Linguistics 19(2): 95-120 (2012)
72		Marco Turchi, Tijl De Bie, Nello Cristianini: An intelligent Web agent that autonomously learns how to translate. Web Intelligence and Agent Systems 10(2): 165-178 (2012)
	2011
71		Nello Cristianini: Automatic Discovery of Patterns in Media Content. CPM 2011: 2-13
70		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
69		Nick Fyson, Tijl De Bie, Nello Cristianini: Reconstruction of Causal Networks by Set Covering. ICANNGA (2) 2011: 196-205
68		Elena Hensinger, Ilias N. Flaounas, Nello Cristianini: Learning Readers' News Preferences with Support Vector Machines. ICANNGA (2) 2011: 322-331
67		Tristan Mark Snowsill, Nick Fyson, Tijl De Bie, Nello Cristianini: Refining causality: who copied from whom? KDD 2011: 466-474
66		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
65		Song Liu, Peter Flach, Nello Cristianini: Generic Multiplicative Methods for Implementing Machine Learning Algorithms on MapReduce CoRR abs/1111.2111: (2011)
64		Saatviga Sudhahar, Roberto Franzosi, Nello Cristianini: Automating Quantitative Narrative Analysis of News Data. Journal of Machine Learning Research - Proceedings Track 17: 63-71 (2011)
	2010
63		Nello Cristianini, John Shawe-Taylor: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press 2010: I-XIII, 1-189
62		Josef Steinberger, Marco Turchi, Mijail Alexandrov Kabadjov, Ralf Steinberger, Nello Cristianini: Wrapping up a Summary: From Representation to Generation. ACL (Short Papers) 2010: 382-386
61		Omar Ali, Nello Cristianini: Information Fusion for Entity Matching in Unstructured Data. AIAI 2010: 162-169
60		Elena Hensinger, Ilias N. Flaounas, Nello Cristianini: Learning the Preferences of News Readers with SVM and Lasso Ranking. AIAI 2010: 179-186
59		Vasileios Lampos, Tijl De Bie, Nello Cristianini: Flu Detector - Tracking Epidemics on Twitter. ECML/PKDD (3) 2010: 599-602
58		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
57		Nick Fyson, Tijl De Bie, Nello Cristianini: Reconstruction of Causal Networks by Set Covering CoRR abs/1006.0849: (2010)
56		Tom Diethe, Nello Cristianini, John Shawe-Taylor: Preface. Journal of Machine Learning Research - Proceedings Track 11: 1-3 (2010)
55		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. Journal of Machine Learning Research - Proceedings Track 11: 36-43 (2010)
54		Nello Cristianini: Are we there yet? Neural Networks 23(4): 466-470 (2010)
	2009
53		Nello Cristianini: Are We There Yet?. ECML/PKDD (1) 2009: 2
52		Ilias N. Flaounas, Marco Turchi, Tijl De Bie, Nello Cristianini: Inference and Validation of Networks. ECML/PKDD (1) 2009: 344-358
51		Marco Turchi, Ilias N. Flaounas, Omar Ali, Tijl De Bie, Tristan Snowsill, Nello Cristianini: Found in Translation. ECML/PKDD (2) 2009: 746-749
50		Marco Turchi, Tijl De Bie, Nello Cristianini: An Intelligent Agent That Autonomously Learns How to Translate. IAT 2009: 12-19
49		Ilias N. Flaounas, Marco Turchi, Nello Cristianini: Detecting Macro-patterns in the European Mediasphere. Web Intelligence/IAT Workshops 2009: 527-530
	2008
48		Nello Cristianini, Elisa Ricci: Support Vector Machines. Encyclopedia of Algorithms 2008
	2007
47		Nello Cristianini, Matthew W. Hahn: Introduction to computational genomics - a case studies approach. Cambridge University Press 2007: I-XVII, 1-182
46		Patricia Francis-Lyon, Nello Cristianini, Stephen R. Holbrook: Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar. CIBCB 2007: 170-177
45		Elisa Ricci, Tijl De Bie, Nello Cristianini: Discriminative Sequence Labeling by Z-Score Optimization. ECML 2007: 274-285
44		Elisa Ricci, Tijl De Bie, Nello Cristianini: Learning to Align: A Statistical Approach. IDA 2007: 25-36
43		Arianna Gallo, Tijl De Bie, Nello Cristianini: MINI: Mining Informative Non-redundant Itemsets. PKDD 2007: 438-445
	2006
42		Tijl De Bie, Nello Cristianini, Jeffery P. Demuth, Matthew W. Hahn: CAFE: a computational tool for the study of gene family evolution. Bioinformatics 22(10): 1269-1271 (2006)
41		Tijl De Bie, Nello Cristianini: Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem. Journal of Machine Learning Research 7: 1409-1436 (2006)
	2005
40		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
39		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 Transactions on Information Theory 51(7): 2510-2522 (2005)
38		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)
	2004
37		John Shawe-Taylor, Nello Cristianini: Kernel Methods for Pattern Analysis. Cambridge University Press 2004: I-XIV, 1-462
36		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
35		Tijl De Bie, Nello Cristianini: Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data. SSPR/SPR 2004: 16-29
34		Gert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble: A statistical framework for genomic data fusion. Bioinformatics 20(16): 2626-2635 (2004)
33		Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan: Learning the Kernel Matrix with Semidefinite Programming. Journal of Machine Learning Research 5: 27-72 (2004)
	2003
32		Tijl De Bie, Michinari Momma, Nello Cristianini: Efficiently Learning the Metric with Side-Information. ALT 2003: 175-189
31		Nello Cristianini: Kernel Methods for Pattern Analysis. ICTAI 2003
30		Tijl De Bie, Nello Cristianini: Convex Methods for Transduction. NIPS 2003
	2002
29		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
28		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
27		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
26		Alexei Vinokourov, John Shawe-Taylor, Nello Cristianini: Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis. NIPS 2002: 1473-1480
25		Jaz S. Kandola, John Shawe-Taylor, Nello Cristianini: Learning Semantic Similarity. NIPS 2002: 657-664
24		Nello Cristianini, Bernhard Schölkopf: Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. AI Magazine 23(3): 31-42 (2002)
23		John Shawe-Taylor, Nello Cristianini: On the generalization of soft margin algorithms. IEEE Transactions on Information Theory 48(10): 2721-2735 (2002)
22		Nello Cristianini, John Shawe-Taylor, Huma Lodhi: Latent Semantic Kernels. J. Intell. Inf. Syst. 18(2-3): 127-152 (2002)
21		Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins: Text Classification using String Kernels. Journal of Machine Learning Research 2: 419-444 (2002)
20		Nello Cristianini, Colin Campbell, Chris Burges: Editorial: Kernel Methods: Current Research and Future Directions. Machine Learning 46(1-3): 5-9 (2002)
	2001
19		Thorsten Joachims, Nello Cristianini, John Shawe-Taylor: Composite Kernels for Hypertext Categorisation. ICML 2001: 250-257
18		Nello Cristianini, John Shawe-Taylor, Huma Lodhi: Latent Semantic Kernels. ICML 2001: 66-73
17		Nello Cristianini, John Shawe-Taylor, André Elisseeff, Jaz S. Kandola: On Kernel-Target Alignment. NIPS 2001: 367-373
16		John Shawe-Taylor, Nello Cristianini, Jaz S. Kandola: On the Concentration of Spectral Properties. NIPS 2001: 511-517
15		Nello Cristianini, John Shawe-Taylor, Jaz S. Kandola: Spectral Kernel Methods for Clustering. NIPS 2001: 649-655
	2000
14		Colin Campbell, Nello Cristianini, Alex J. Smola: Query Learning with Large Margin Classifiers. ICML 2000: 111-118
13		Huma Lodhi, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins: Text Classification using String Kernels. NIPS 2000: 563-569
12		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. Bioinformatics 16(10): 906-914 (2000)
11		Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu: Enlarging the Margins in Perceptron Decision Trees. Machine Learning 41(3): 295-313 (2000)
	1999
10		John Shawe-Taylor, Nello Cristianini: Further Results on the Margin Distribution. COLT 1999: 278-285
9		Nello Cristianini, Colin Campbell, John Shawe-Taylor: A multiplicative updating algorithm for training support vector machine. ESANN 1999: 189-194
8		John Shawe-Taylor, Nello Cristianini: Margin Distribution Bounds on Generalization. EuroCOLT 1999: 263-273
7		John Shawe-Taylor, Nello Cristianini: Generalization Performance of Classifiers in Terms of Observed Covering Numbers. EuroCOLT 1999: 274-284
6		Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor: Large Margin Trees for Induction and Transduction. ICML 1999: 474-483
5		John C. Platt, Nello Cristianini, John Shawe-Taylor: Large Margin DAGs for Multiclass Classification. NIPS 1999: 547-553
	1998
4		Nello Cristianini, John Shawe-Taylor, Peter Sykacek: Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. ICML 1998: 109-117
3		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
2		Nello Cristianini, Colin Campbell, John Shawe-Taylor: Dynamically Adapting Kernels in Support Vector Machines. NIPS 1998: 204-210
	1997
1		John Shawe-Taylor, Nello Cristianini: Data-Dependent Structural Risk Minimization for Perceptron Decision Trees. NIPS 1997

Coauthor Index

1	Omar Ali	[51] [55] [61] [66] [70] [76]
2	Peter L. Bartlett	[27] [33]
3	David W. Bednarski	[12]
4	Kristin P. Bennett	[6] [11]
5	Tijl De Bie	[30] [32] [34] [35] [40] [41] [42] [43] [44] [45] [50] [51] [52] [55] [57] [58] [59] [66] [67] [69] [70] [72] [76]
6	Christopher J. C. Burges (Chris Burges)	[20]
7	Colin Campbell	[2] [3] [9] [14] [20]
8	Antonella Delmestri	[73]
9	Jeffery P. Demuth	[42]
10	Minghua Deng	[36]
11	Tom Diethe	[56]
12	Nigel Duffy	[12]
13	André Elisseeff	[17]
14	Kristof Engelen	[40]
15	Peter Flach	[65]
16	Ilias N. Flaounas	[49] [51] [52] [55] [58] [60] [66] [68] [70] [75] [77] [78]
17	Patricia Francis-Lyon	[46]
18	Roberto Franzosi	[64]
19	Thilo-Thomas Frieß	[3]
20	Terrence S. Furey	[12]
21	Nick Fyson	[57] [67] [69]
22	Arianna Gallo	[43]
23	Laurent El Ghaoui	[27] [33]
24	Fredric Gorin (F. A. Gorin)	[38]
25	Matthew W. Hahn	[42] [47]
26	David Haussler	[12]
27	Elena Hensinger	[60] [68] [75]
28	Stephen R. Holbrook	[46]
29	Thorsten Joachims	[19]
30	Edward G. Jones	[38]
31	Michael I. Jordan	[27] [33] [34] [36]
32	Mijail Alexandrov Kabadjov	[62]
33	Jaz S. Kandola	[15] [16] [17] [25] [28] [29] [39]
34	Vasileios Lampos	[59] [74]
35	Gert R. G. Lanckriet	[27] [33] [34] [36]
36	Thomas Lansdall-Welfare	[74] [77] [78]
37	Justin Lewis	[55]
38	Song Liu	[65]
39	Huma Lodhi	[13] [18] [21] [22]
40	Kathleen Marchal	[40]
41	Michinari Momma	[32]
42	Patrick Monsieurs	[40]
43	Bart De Moor	[40]
44	Nick Mosdell	[55]
45	Florent Nicart	[66]
46	William Stafford Noble	[34] [36]
47	John C. Platt	[5]
48	Elisa Ricci	[44] [45] [48]
49	Craig Saunders	[21]
50	Bernhard Schölkopf	[24]
51	Michèl Schummer	[12]
52	John Shawe-Taylor	[1] [2] [4] [5] [6] [7] [8] [9] [10] [11] [13] [15] [16] [17] [18] [19] [21] [22] [23] [25] [26] [28] [29] [37] [39] [56] [63]
53	Alexander J. Smola (Alex J. Smola)	[14]
54	Tristan Snowsill (Tristan Mark Snowsill)	[51] [58] [66] [67]
55	Prashanti R. Srinivas	[38]
56	Josef Steinberger	[62]
57	Ralf Steinberger	[62]
58	Saatviga Sudhahar	[64] [78]
59	Peter Sykacek	[4]
60	Marco Turchi	[49] [50] [51] [52] [62] [66] [72]
61	Alexei Vinokourov	[26]
62	Christopher J. C. H. Watkins	[13] [21]
63	Shang-Heng Wei	[38]
64	Christopher K. I. Williams	[28] [29] [39]
65	Donghui Wu	[6] [11]
66	Giovanni Zappella	[76]

Colors in the list of coauthors

Last update Tue May 29 01:28:40 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page