Nello Cristianini
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Computer Science
Nello Cristianini's Degrees
- Bachelors Computer Science Consorzio ICoN
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(Suggest an Edit or Addition)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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