Nello Cristianini

Nello Cristianini's AcademicInfluence.com Rankings

Nello Cristianini

Computer Science

#3575

World Rank

#3755

Historical Rank

Artificial Intelligence

#666

World Rank

#677

Historical Rank

Database

#906

World Rank

#953

Historical Rank

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Computer Science

Nello Cristianini's Degrees

Bachelors Computer Science Consorzio ICoN

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Nello Cristianini's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (2000) (14068)
Kernel Methods for Pattern Analysis (2003) (6815)
An introduction to Support Vector Machines (2000) (2818)
Learning the Kernel Matrix with Semidefinite Programming (2002) (2557)
Support vector machine classification and validation of cancer tissue samples using microarray expression data (2000) (2508)
Knowledge-based analysis of microarray gene expression data by using support vector machines. (2000) (2404)
Large Margin DAGs for Multiclass Classification (1999) (1930)
Text Classification using String Kernels (2002) (1686)
Advances in Kernel Methods - Support Vector Learning (1999) (1476)
On Kernel-Target Alignment (2001) (1108)
CAFE: a computational tool for the study of gene family evolution (2006) (1064)
Controlling the Sensitivity of Support Vector Machines (1999) (789)
A statistical framework for genomic data fusion (2004) (746)
Query Learning with Large Margin Classifiers (2000) (433)
Tracking the flu pandemic by monitoring the social web (2010) (359)
The Evolution of Mammalian Gene Families (2006) (357)
Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast (2003) (355)
Latent Semantic Kernels (2001) (323)
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines (1998) (307)
Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis (2002) (289)
Flu Detector - Tracking Epidemics on Twitter (2010) (284)
Estimating the Sentence-Level Quality of Machine Translation Systems (2009) (268)
Estimating the tempo and mode of gene family evolution from comparative genomic data. (2005) (264)
Nowcasting Events from the Social Web with Statistical Learning (2012) (226)
Large Margin DAG's for Multiclass Classification (1999) (216)
Support Vector Machines and Kernel Methods: The New Generation of Learning Machines (2002) (214)
Support vector machines (2009) (199)
Kernel Methods for Pattern Analysis: Constructing kernels (2004) (194)
Learning Semantic Similarity (2002) (191)
Composite Kernels for Hypertext Categorisation (2001) (191)
Dynamically Adapting Kernels in Support Vector Machines (1998) (188)
Finite-Time Analysis of Kernelised Contextual Bandits (2013) (177)
On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA (2005) (165)
Convex Methods for Transduction (2003) (128)
Support Vector Machine Classification of Microarray from Gene Expression Data (1999) (114)
The Kernel-Adatron : A fast and simple learning procedure for support vector machines (1998) (114)
Eigenproblems in Pattern Recognition (2005) (112)
Knowledge-based analysis of microarray gene expression (2000) (112)
Spectral Kernel Methods for Clustering (2001) (103)
On the generalization of soft margin algorithms (2002) (94)
Enlarging the Margins in Perceptron Decision Trees (2000) (93)
Effects of the recession on public mood in the UK (2012) (91)
Optimizing Kernel Alignment over Combinations of Kernel (2002) (90)
RESEARCH METHODS IN THE AGE OF DIGITAL JOURNALISM (2013) (88)
An Analysis of the Interaction Between Intelligent Software Agents and Human Users (2018) (88)
Content analysis of 150 years of British periodicals (2017) (80)
Machine Learning and Knowledge Discovery in Databases (ECML PKDD) (2010) (79)
Further results on the margin distribution (1999) (71)
Introduction to computational genomics - a case studies approach (2007) (69)
Learning to classify gender from four million images (2015) (68)
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem (2006) (64)
Women Are Seen More than Heard in Online Newspapers (2016) (64)
Supervised and Unsupervised Learning (2004) (60)
Estimating the moments of a random vector with applications (2003) (60)
MINI: Mining Informative Non-redundant Itemsets (2007) (60)
Semi-Supervised Learning Using Semi-Definite Programming (2006) (56)
On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum (2002) (55)
Robust Bounds on Generalization from the Margin Distribution (1998) (55)
Automated analysis of the US presidential elections using Big Data and network analysis (2015) (54)
The Application of Support Vector Machines to Medical decision Support: A Case Study (1999) (52)
Margin Distribution Bounds on Generalization (1999) (50)
Simple Learning Algorithms for Training Support Vector Machines (1998) (49)
Support vector and kernel machines (2001) (48)
Neural Information Processing Systems (NIPS) (2003) (47)
NOAM: news outlets analysis and monitoring system (2011) (45)
Efficiently Learning the Metric with Side-Information (2003) (45)
On the Extensions of Kernel Alignment (2002) (43)
Support vector and Kernel methods (2003) (43)
Margin Distribution and Soft Margin (2000) (42)
Learning Performance of a Machine Translation System: a Statistical and Computational Analysis (2008) (41)
Introduction To Computational Genomics (2007) (41)
Large Margin Trees for Induction and Transduction (1999) (40)
Refining causality: who copied from whom? (2011) (40)
Gender Classification by Deep Learning on Millions of Weakly Labelled Images (2016) (39)
Network analysis of narrative content in large corpora (2013) (38)
Nowcasting the mood of the nation (2012) (38)
Circadian mood variations in Twitter content (2017) (37)
On the Concentration of Spectral Properties (2001) (36)
Analysing Mood Patterns in the United Kingdom through Twitter Content (2013) (34)
The Structure of the EU Mediasphere (2010) (34)
Data mining, data fusion and information management (2006) (33)
Finding surprising patterns in textual data streams (2010) (31)
Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space (1998) (30)
Can Machines Read our Minds? (2019) (30)
Detection of Bias in Media Outlets with Statistical Learning Methods (2009) (30)
Generalization Performance of Classifiers in Terms of Observed Covering Numbers (1999) (29)
Kernel Methods for Pattern Analysis: List of kernels (2004) (27)
Diurnal variations of psychometric indicators in Twitter content (2018) (27)
Modelling and predicting news popularity (2013) (25)
On the coverage of science in the media: A big data study on the impact of the Fukushima disaster (2014) (25)
Right for the Right Reason: Training Agnostic Networks (2018) (25)
Efficient classification of multi-labeled text streams by clashing (2014) (24)
Handbook of Geometric Computing : Applications in Pattern Recognition (2005) (22)
Data-Dependent Structural Risk Minimization for Perceptron Decision Trees (1997) (21)
The 17th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD) (2011) (20)
Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts (2016) (20)
Automating News Content Analysis: An Application to Gender Bias and Readability (2010) (20)
Learning to translate: a statistical and computational analysis (2009) (19)
Editorial: Kernel Methods: Current Research and Future Directions (2002) (19)
Automating Quantitative Narrative Analysis of News Data (2011) (18)
Kernel Methods for Pattern Analysis: Pattern analysis (2004) (18)
String Similarity Measures and Pam-like Matrices for Cognate Identification (2010) (18)
Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data (2004) (18)
Biased Embeddings from Wild Data: Measuring, Understanding and Removing (2018) (18)
International Conference on Pattern Recognition Applications and Methods (2012) (17)
Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data (2004) (17)
On the current paradigm in artificial intelligence (2014) (17)
Machine Decisions and Human Consequences (2018) (15)
On social machines for algorithmic regulation (2019) (15)
Measuring Gender Bias in News Images (2015) (14)
Kernel Methods (Kernel‐Based Learning Methods, Kernel Machine) (2004) (13)
Large Margin Decision Trees for Induction and Transduction (1999) (13)
The Learning Methodology (2000) (13)
A multiplicative updating algorithm for training support vector machine (1999) (12)
History Playground: A Tool for Discovering Temporal Trends in Massive Textual Corpora (2018) (12)
Change-Point Analysis of the Public Mood in UK Twitter during the Brexit Referendum (2016) (12)
Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL) (2012) (11)
From frequent itemsets to informative patterns (2009) (11)
Fisher Discriminant Analysis (Linear Discriminant Analysis) (2014) (11)
Automated Analysis of Narrative Content for Digital Humanities (2013) (10)
Support Vector and Kernel Methods for Pattern Recognition (2001) (10)
Are we there yet? (2010) (10)
Detecting Events in a Million New York Times Articles (2010) (10)
Kernel Methods for Pattern Analysis: Properties of kernels (2004) (10)
Seasonal Variation in Collective Mood via Twitter Content and Medical Purchases (2017) (9)
Wrapping up a Summary: From Representation to Generation (2010) (9)
Pacific Symposium on Biocomputing (PSB) (2005) (9)
Discovering Periodic Patterns in Historical News (2016) (9)
Magic Moments for Structured Output Prediction (2008) (9)
Information Fusion for Entity Matching in Unstructured Data (2010) (8)
A Framework for Genomic Data Fusion and its Application to Membrane Protein Prediction (2004) (8)
Linguistic Phylogenetic Inference by PAM-like Matrices (2012) (8)
Learning the Preferences of News Readers with SVM and Lasso Ranking (2010) (8)
ElectionWatch: Detecting Patterns in News Coverage of US Elections (2012) (8)
Large-scale content analysis of historical newspapers in the town of Gorizia 1873–1914 (2018) (8)
Scalable Corpus Annotation by Graph Construction and Label Propagation (2012) (7)
The Anatomy of a Modular System for Media Content Analysis (2014) (7)
Inference and Validation of Networks (2009) (7)
Multiplicative Updatings for Support Vector Machines (1999) (7)
Found in Translation (2009) (6)
A Kernel Canonical Correlation Analysis for Learning the Semantics of Text (2007) (6)
Automatic Discovery of Patterns in Media Content (2011) (6)
Seasonal variation in antidepressant prescriptions, environmental light and web queries for seasonal affective disorder (2019) (6)
What Makes Us Click? - Modelling and Predicting the Appeal of News Articles (2012) (6)
Scalable Preference Learning from Data Streams (2015) (5)
Cross‐Validation (K‐Fold Cross‐Validation, Leave‐One‐Out, Jackknife, Bootstrap) (2014) (5)
Bayesian Voting Schemes as Large Margin Classifiers (1999) (5)
Kernel Methods for Pattern Analysis: Pattern analysis using convex optimisation (2004) (5)
Kernel Methods for Pattern Analysis: Kernel methods: an overview (2004) (5)
Kernels for structured data: strings, trees, etc. (2004) (5)
Big Data Analysis of News and Social Media Content (2013) (5)
An intelligent Web agent that autonomously learns how to translate (2012) (5)
Comparison of vector space model methodologies to reconcile cross-species neuroanatomical concepts (2005) (5)
Proceedings of the Sixteenth International Conference on Machine Learning (ICML99) (1999) (5)
Kernel methods for exploratory data analysis: a demonstration on text data (2004) (5)
Quantitative Narrative Analysis of US Elections in International News Media (2012) (5)
English colour terms carry gender and valence biases: A corpus study using word embeddings (2021) (5)
Predicting relations in news-media content among EU countries (2010) (5)
Kernel Methods: A Paradigm for Pattern Analysis (2006) (5)
An Intelligent Agent That Autonomously Learns How to Translate (2009) (5)
Multiplicative Updatings for Support Vector Learning (1999) (4)
A STATISTICAL ANALYSIS OF LANGUAGE EVOLUTION (2006) (4)
The Actors of History: Narrative Network Analysis Reveals the Institutions of Power in British Society Between 1800-1950 (2017) (4)
Learning Machine Translation from In-domain and Out-of-domain Data (2012) (4)
Modelling and Explaining Online News Preferences (2013) (4)
Learning to Align: A Statistical Approach (2007) (4)
Time Series Analysis of Garment Distributions via Street Webcam (2016) (4)
Detecting Macro-patterns in the European Mediasphere (2009) (3)
ACL 2008 Third Workshop on Statistical Machine Translation (2008) (3)
Shortcuts to Artificial Intelligence (2021) (3)
Kernel Methods for Pattern Analysis: References (2004) (3)
Robustness and Statistical Significance of Pam-like Matrices for Cognate Identification (2010) (3)
Discriminative Sequence Labeling by Z-Score Optimization (2007) (3)
Linear Learning Machines (2000) (3)
Reconstruction of Causal Networks by Set Covering (2010) (3)
Introduction to the special issue on kernel methods (2002) (3)
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW 2016) (2017) (3)
Machine learning and knowledge discovery in databases : European conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012 : proceedings (2012) (3)
Generic Multiplicative Methods for Implementing Machine Learning Algorithms on MapReduce (2011) (3)
Kernel Methods for Pattern Analysis: Kernels from generative models (2004) (3)
Kernel Methods for Pattern Analysis: Basic kernels and kernel types (2004) (3)
Kernels and Support Vector Machines (2002) (3)
Analysis of Text Patterns Using Kernel Methods (2009) (3)
Cross-Validation (k-Fold Validation, Leave One Out) (2004) (2)
Kernel Methods for Pattern Analysis: Ranking, clustering and data visualisation (2004) (2)
Kernel Methods for Pattern Analysis: Pattern analysis using eigen-decompositions (2004) (2)
Fact Checking from Natural Text with Probabilistic Soft Logic (2018) (2)
Gradient Descent (Steepest-Descent Method) (2004) (2)
5 : Bayesian Voting Schemes and Large Margin Classifiers (1999) (2)
Learning Readers' News Preferences with Support Vector Machines (2011) (2)
Modeling sequence evolution with kernel methods (2007) (2)
Kernel Methods for Pattern Analysis: Kernels for text (2004) (2)
The NetCover algorithm for the reconstruction of causal networks (2012) (2)
Celebrity Watch: Browsing News Content by Exploiting Social Intelligence (2011) (2)
The social turn of artificial intelligence (2021) (2)
An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks (2012) (1)
Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II (2012) (1)
Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar (2006) (1)
the joint IAPR international workshops on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition (SPR 2004) (2004) (1)
8 On Kernel Target Alignment (1)
Effect of the lockdown on diurnal patterns of emotion expression in Twitter (2021) (1)
What makes us curious? analysis of a corpus of open-domain questions (2021) (1)
Maximal Margin Classification using the KA Algorithm (1998) (1)
Neural Network (Artificial Neural Network, Connectionist Network, Backpropagation Network, Multilayer Perceptron) (2014) (1)
Machine learning and knowledge discovery in databases: ECML-PKDD Proceedings, Part II (2012) (1)
Mining Social Network Dynamics (MSND) session on Social Media Applications in News and Entertainment (SMANE) at WWW '12 (2012) (1)
Pattern Analysis (Data Mining, Intelligent Data Analysis, Pattern Discovery, Pattern Recognition) (2004) (1)
Large margin strategies in machine learning (2000) (1)
Proc.17th Int Conference on Machine Learning (2000) (1)
On the Learnability of Concepts (2020) (1)
Kernel Methods for Pattern Analysis: Notational conventions (2004) (1)
Neural Network (Artificial Neural Network, Backpropagation Network, Connectionist Network, Multilayer Perceptron) (2004) (1)
Evolution and learning: An epistemological perspective (1995) (1)
An Analysis of the Interaction Between Intelligent Software Agents and Human Users (2018) (1)
Support Vector Machines (Maximal Margin Classifiers, SVMs) (2004) (1)
A bed-time story (2006) (1)
Can Machines Read our Minds? (2019) (1)
SARS – a post-genomic epidemic (2006) (1)
FindMyPast Yearly N-grams and Entities Dataset (2016) (1)
Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes (2017) (1)
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms (2020) (1)
Introduction to Computational Genomics: Welcome to the hotel Chlamydia (2006) (0)
Shortcuts to Artiﬁcial Intelligence (2019) (0)
The boulevard of broken genes (2006) (0)
Kernel Methods for Pattern Analysis: Detecting stable patterns (2004) (0)
Introduction to Computational Genomics: The first look at a genome (2006) (0)
Princely County of Gorizia and Gradisca, 1873-1914: creation and analysis of a digital corpus of periodicals in their historical context (2019) (0)
Classification in Machine Learning (Discriminant Analysis) (2014) (0)
Prologue: In praise of cells (2006) (0)
Large Margin Classification Using the Kernel Adatron Algorithm (1998) (0)
Automating Massive-Scale Analysis Of News Content (2016) (0)
Proofs omitted from the main text (2004) (0)
Machine Learning and Knowledge Discovery in Databases (2012) (0)
Claim Consistency Checking Using Soft Logic (2020) (0)
The genomics of wine-making (2006) (0)
IDEAL98: Intelligent Data Engineering and Learning, Springer, Xu L, Chan LW, Fu A (eds.) (1998) (0)
Chapter 2 - Margin Distribution and Soft Margin (1999) (0)
Kernel Method (Kernel Machine, Kernel‐based Learning Method) (2014) (0)
Big Data (Big Data), 2014 IEEE International Conference on (2014) (0)
Introduction to Computational Genomics: All the sequence's men (2006) (0)
Detecting Shifts in Public Opinion: A Big Data Study of Global News Content (2018) (0)
Clustering (Cluster Analysis) (2014) (0)
Semi-supervised learning (2006) (0)
Introduction to Computational Genomics: All in the family (2006) (0)
Error Measures (Accuracy Measures, Generalization, Performance Criteria, Predictive Power) (2004) (0)
Model Selection (Complexity Regularization, Model Order Selection) (2004) (0)
Kernel Methods for Pattern Analysis: List of pattern analysis methods (2004) (0)
The Shortcut (2023) (0)
WI-IAT, Milano (2009) (0)
Error Measures (Accuracy Measures, Performance Criteria, Predictive Power, Generalization) (2014) (0)
Kernel Methods for Pattern Analysis: Elementary algorithms in feature space (2004) (0)
15th Int. Conf on Machine Learning (1998) (0)
Feature (Independent Variable, Predictor Variable, Descriptor, Attribute, Observation) (2014) (0)
Sentence-level confidence estimation for MT (2009) (0)
ECML/PKDD (Demo Session), Bled (2009) (0)
Model Selection (Model Order Selection, Complexity Regularization) (2014) (0)
7th International Symposium on Intelligent Data Analysis (IDA 2007) (2007) (0)
A different way of thinking (2016) (0)
Modelling and predicting news popularity (2012) (0)
Self-attention Networks for Non-recurrent Handwritten Text Recognition (2022) (0)
The Application of Support Vector Machines to MedicalDecision Support : A Case (1999) (0)
ThinkBIG - Understanding the Impact of Big Data on Science and Society (2015) (0)
Label (Dependent Variable, Labeled Data, Response) (2004) (0)
Are Neanderthals among us (2006) (0)
Distributions Via Street Webcam (2017) (0)
On Compositionality in Data Embedding (2023) (0)
Label (Labeled Data, Response, Dependent Variable) (2014) (0)
Features (Attribute, Descriptor, Independent Variable, Observation, Predictor Variables) (2004) (0)
Proceedings of the ECCAI Advanced Course in Artificial Intelligence, Chania, Greece (ACAI99) (1999) (0)
Data mining in medicine (2005) (0)
Support Vector Machine (SVM, Maximal Margin Classifier) (2014) (0)
Kernel Methods for Pattern Analysis: Preface (2004) (0)
18th European Conference on Machine Learning (ECML07) (2007) (0)
Automatic Annotation of a Dynamic Corpus by Label Propagation (2013) (0)
QBERT: Generalist Model for Processing Questions (2022) (0)
Introduction to the Special Issue on Kernel Methods (Kernel Machines Section) (2001) (0)
Circadian mood variations in Twitter content. Brain and Neuroscience Advances (2018) (0)
Proceedings of Eurocolt 1999 (1999) (0)

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Nello Cristianini's Published Works

Published Works

What Schools Are Affiliated With Nello Cristianini?

Nello Cristianini's AcademicInfluence.com Rankings