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 Nello Cristianini

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Average citations per article67.82
Citation Count5,697
Publication count84
Publication years1997-2015
Available for download17
Average downloads per article573.41
Downloads (cumulative)9,748
Downloads (12 Months)341
Downloads (6 Weeks)57
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84 results found Export Results: bibtexendnoteacmrefcsv

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1
June 2015 Pattern Recognition Letters: Volume 58 Issue C, June 2015
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 6

We automatically assemble a big dataset to train a face gender classifier.This is formed by 4 million images and over 60,000 features.The resulting system significantly outperforms the previous state of the art without human annotation.This study lends support to the "unreasonable effectiveness of data" conjecture.This study is relevant to computer ...
Keywords: On-line learning,, Gender classification, Big data

2 published by ACM
May 2015 WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 17,   Downloads (Overall): 58

Full text available: PDFPDF
We study the task of learning the preferences of online readers of news, based on their past choices. Previous work has shown that it is possible to model this situation as a competition between articles, where the most appealing articles of the day are those selected by the most users. ...
Keywords: online learning, hashing trick, learning to rank, news appeal, news popularity

3 published by ACM
May 2015 WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 25,   Downloads (Overall): 87

Full text available: PDFPDF
Analysing the representation of gender in news media has a long history within the fields of journalism, media and communication. Typically this can be performed by measuring how often people of each gender are mentioned within the textual content of news articles. In this paper, we adopt a different approach, ...
Keywords: image classification, news analysis, gender bias

4
January 2014 AI Communications - ECAI 2012 Turing and Anniversary Track: Volume 27 Issue 1, January 2014
Publisher: IOS Press
Bibliometrics:
Citation Count: 3

The field of Artificial Intelligence AI has undergone many transformations, most recently the emergence of data-driven approaches centred on machine learning technology. The present article examines that paradigm shift by using the conceptual tools developed by Thomas Kuhn, and by analysing the contents of the longest running conference series in ...
Keywords: Data, Philosophy Of Science, Statistical Artificial Intelligence, History Of Science

5
November 2013 Pattern Analysis & Applications: Volume 16 Issue 4, November 2013
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

We explore the problem of learning to predict the popularity of an article in online news media. By "popular" we mean an article that was among the "most read" articles of a given day in the news outlet that published it. We show that this cannot be modelled simply as ...
Keywords: Ranking support vector machines, News popularity, Pattern recognition, News appeal

6
August 2013 UAI'13: Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence
Publisher: AUAI Press
Bibliometrics:
Citation Count: 1

We tackle the problem of online reward maximisation over a large finite set of actions described by their contexts. We focus on the case when the number of actions is too big to sample all of them even once. However we assume that we have access to the similarities between ...

7
November 2012 Neurocomputing: Volume 96, November, 2012
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

We present the NetCover algorithm, a method for the reconstruction of networks based on the order of nodes visited by a stochastic branching process. Our algorithm reconstructs a network of minimal size that ensures consistency with the data, and we verify performance on both synthetic and real-world data. We show ...
Keywords: Complex systems, Twitter, Data mining, Machine learning, Minimum Description Length, Network inference

8 published by ACM
September 2012 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 3 Issue 4, September 2012
Publisher: ACM
Bibliometrics:
Citation Count: 31
Downloads (6 Weeks): 6,   Downloads (12 Months): 69,   Downloads (Overall): 871

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We present a general methodology for inferring the occurrence and magnitude of an event or phenomenon by exploring the rich amount of unstructured textual information on the social part of the Web. Having geo-tagged user posts on the microblogging service of Twitter as our input data, we investigate two case ...
Keywords: LASSO, Twitter, social network mining, sparse learning, feature selection, Event detection

9
April 2012 EACL '12: Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
Publisher: Association for Computational Linguistics
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 1,   Downloads (12 Months): 12,   Downloads (Overall): 92

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We present a web tool that allows users to explore news stories concerning the 2012 US Presidential Elections via an interactive interface. The tool is based on concepts of "narrative analysis", where the key actors of a narration are identified, along with their relations, in what are sometimes called "semantic ...

10 published by ACM
April 2012 WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 7,   Downloads (12 Months): 51,   Downloads (Overall): 461

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Large scale analysis of social media content allows for real time discovery of macro-scale patterns in public opinion and sentiment. In this paper we analyse a collection of 484 million tweets generated by more than 9.8 million users from the United Kingdom over the past 31 months, a period marked ...
Keywords: social media, event detection, mood analysis, sentiment analysis, twitter

11
April 2012 Web Intelligence and Agent Systems: Volume 10 Issue 2, April 2012
Publisher: IOS Press
Bibliometrics:
Citation Count: 1

We describe the design of an autonomous agent that can teach itself how to translate from a foreign language, by first assembling its own training set, then using it to improve its vocabulary and language model. The key idea is that a Statistical Machine Translation package can be used for ...
Keywords: Machine Translation, Stability Analysis, Self-Learning, Web Access

12
January 2012 Advances in Artificial Intelligence: Volume 2012, January 2012
Publisher: Hindawi Limited
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 0,   Downloads (12 Months): 2,   Downloads (Overall): 39

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We present an extensive experimental study of Phrase-based Statistical Machine Translation, from the point of view of its learning capabilities. Very accurate Learning Curves are obtained, using high-performance computing, and extrapolations of the projected performance of the system under different conditions are provided. Our experiments confirm existing and mostly unpublished ...

13
September 2011 ECMLPKDD'11: Proceedings of the 2011th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part III
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Celebrity Watch is an automatically-generated website that presents up-to-date entertainment news from around the world. It demonstrates the application of many pattern analysis methods that allow us to autonomously monitor millions of news articles and hundreds of millions of references to people mentioned in them. We apply statistical methods to ...
Keywords: entertainment news, social networks, statistical inference, trend detection, news mining

14
September 2011 ECML PKDD'11: Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Celebrity Watch is an automatically-generated website that presents up-to-date entertainment news from around the world. It demonstrates the application of many pattern analysis methods that allow us to autonomously monitor millions of news articles and hundreds of millions of references to people mentioned in them. We apply statistical methods to ...
Keywords: entertainment news, social networks, statistical inference, trend detection, news mining

15 published by ACM
August 2011 KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Publisher: ACM
Bibliometrics:
Citation Count: 10
Downloads (6 Weeks): 4,   Downloads (12 Months): 27,   Downloads (Overall): 515

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Inferring causal networks behind observed data is an active area of research with wide applicability to areas such as epidemiology, microbiology and social science. In particular recent research has focused on identifying how information propagates through the Internet. This research has so far only used temporal features of observations, and ...
Keywords: suffix tree, network reconstruction, network inference

16
June 2011 CPM'11: Proceedings of the 22nd annual conference on Combinatorial pattern matching
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

The strong trend towards the automation of many aspects of scientific enquiry and scholarship has started to affect also the social sciences and even the humanities. Several recent articles have demonstrated the application of pattern analysis techniques to the discovery of non-trivial relations in various datasets that have relevance for ...

17 published by ACM
June 2011 SIGMOD '11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Publisher: ACM
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 2,   Downloads (12 Months): 17,   Downloads (Overall): 240

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We present NOAM, an integrated platform for the monitoring and analysis of news media content. NOAM is the data management system behind various applications and scientific studies aiming at modelling the mediasphere. The system is also intended to address the need in the AI community for platforms where various AI ...
Keywords: media content analysis, data mining, large scale, machine learning, news analysis, text analysis

18
April 2011 ICANNGA'11: Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

We explore the problem of learning and predicting popularity of articles from online news media. The only available information we exploit is the textual content of the articles and the information whether they became popular - by users clicking on them - or not. First we show that this problem ...
Keywords: data mining, pattern recognition, applications, machine learning

19
April 2011 ICANNGA'11: Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

We present a method for the reconstruction of networks, based on the order of nodes visited by a stochastic branching process. Our algorithm reconstructs a network of minimal size that ensures consistency with the data. Crucially, we show that global consistency with the data can be achieved through purely local ...
Keywords: data mining, minimum description length, network inference, machine learning, complex systems

20
September 2010 ECML PKDD'10: Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

We present a demonstration of a newly developed text stream event detection method on over a million articles from the New York Times corpus. The event detection is designed to operate in a predominantly on-line fashion, reporting new events within a specified timeframe. The event detection is achieved by detecting ...
Keywords: New York times, event detection, suffix tree



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