Publications

Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression

Tristan Fletcher,

John Shawe-Taylor,

Probabilistic map-matching for low-frequency GPS trajectories

Kira Kempinska,

John Shawe-Taylor,

Springer International Publishing

Neighborhood Sensitive Mapping for Zero-Shot Classification using Independently Learned Semantic Embeddings

Fabrizio Silvestri,

John Shawe-Taylor,

Learning transition dynamics in MDPs with online regression and greedy feature selection

Ronnie Stafford,

John Shawe-Taylor,

Principled Non-Linear Feature Selection

Dimitrios Athanasakis,

John Shawe-Taylor,

Delmiro Fernandez-Reyes,

Learning non-linear feature maps

Dimitrios Athanasakis,

John Shawe-Taylor,

Delmiro Fernandez-Reyes,

Package ‘covTest’

Richard Lockhart,

Ryan Tibshirani,

Maintainer Rob Tibshirani,

Maintainer Rob Tibshirani,

Automatic correction of topic coherence

William Martin,

John Shawe-Taylor,

Elastic-net Multiple Kernel Learning for multi-region neuroimaging-based diagnosis

Janaina Mourao-Miranda,

Prior Knowledge in Learning Finite Parameter Spaces

Dorota Głowacka,

Springer Berlin Heidelberg

Sifting through images with multinomial relevance feedback

Dorota Głowacka,

John Shawe-Taylor,

technical Perspective machine Learning for complex Predictions

John Shawe-Taylor,

Metric Entropy and Gaussian Bandits

S Grünewälder,

Proceedings of the 7th international conference on Intelligent data analysis

Michael R Berthold,

John Shawe-Taylor,

Springer-Verlag

Can Style be Learned? A Machine Learning Approach Towards ‘Performing’as Famous Pianists

David R Hardoon,

John Shawe-Taylor,

Stability Analysis of Kernel Canonical Correlation Analysis: Theory and Practice

David R Hardoon,

John Shawe-Taylor,

Technical report, University College London, UK

Gaussian Processes for Active Sensor Management

Alexander N Dolia,

John Shawe-Taylor,

Bounding the k-family-wise error rate using resampling methods

John Shawe-Taylor,

Using String Kernels to Identify Performers from their Playing Style

David R Hardoon,

Craig Saunders,

John Shawe-Taylor,

Generating categorybased documents for image queries from web-based data using their semantic representation

David R Hardoon,

Sandor Szedmak,

John Shawe-Taylor,

Technical Report SOTON-TR-05-07, School of Electronics and Computer Science, Image, Speech and Intelligent Systems Research Group, University of Southampton

Preface to the Special issue on the Vapnik-Chervonenkis dimension

John Shawe-Taylor,

Elsevier Science

Considerations of the Optical and Opto-electronic Hardware Requirements for Implementation of Stochastic Bit-stream Neural Nets

Optica Publishing Group

Consciousness at the Crossroads of Philosophy and Cognitive Science, Special issue of Journal of Consciousness Studies

John Shawe-Taylor,

Thorverton: Imprint Academic

Techniques in Neural Learning

Rutgers University DIMACS,

John Shawe-Taylor,

NeuroCOLT Technical Report 95-36

Optical implementation of a stochastic neural system

John Shawe-Taylor,

Generalising from approximate interpolation

John Shawe-Taylor,

Mean Field Annealing as a Barrier Function Optimisation and Alternative Solution Strategies

John Shawe-Taylor,

The semantics and open set analysis of a first order programming language

John Shawe-Taylor,

Generalised Chromatic Numbers of some Graphs II

Tomaž Pisanski,

John Shawe-Taylor,

Nylon bearing material

Wilbert M Lair,

Machine Learning and Kernel Methods

John Shawe-Taylor,

Nello Cristianini,

A Multiplicative Updating Algorithm for Training Support Vector Machines

Nello Cristianini,

Colin Campbell,

John Shawe-Taylor,

KCCA for functional MRI analysis

David R Hardoon,

John Shawe-Taylor,

Towards InnoGraph: A Knowledge Graph for AI Innovation

M Besher Massri,

Blerina Spahiu,

Marko Grobelnik,

Matteo Palmonari,

Matteo Palmonari,

Natural-hazard-related web observatory as a sustainable development tool

Matjaž Mikoš,

Joao Pita Costa,

Springer International Publishing

Exploring biomedical records through text mining-driven complex data visualisation

Joao Pita Costa,

Marko Grobelnik,

Marko Grobelnik,

Cold Spring Harbor Laboratory Press

The next big thing in science

Adrian Mladenic Grobelnik,

Dunja Mladenic,

Marko Grobelnik,

Text mining MEDLINE to support public health

João Pita Costa,

Raghu Santanam,

Raghu Santanam,

Text mining open datasets to support public health

Joao Pita Costa,

Marko Grobelnik,

Reports of the 2016 AAAI workshop program

Stefano Albrecht,

Bruno Bouchard,

John S Brownstein,

Cornelia Caragea,

Cornelia Caragea,

Event detection in Twitter with an event knowledge base

Marko Grobelnik,

Dunja Mladenić,

Crowdsourcing event extraction

Aljaž Košmerlj,

Jenya Belyaeva,

Marko Grobelnik,

Marko Grobelnik,

The Architecture of Future Automotive Applications based on Web Technologies

Marko Grobelnik,

Sebastian Speiser,

Sebastian Speiser,

Information resource recommendation in knowledge processes

Tadej Štajner,

Dunja Mladenić,

Marko Grobelnik,

Springer Berlin Heidelberg

Semantic Web in 10 years: Semantics with a purpose

Marko Grobelnik,

Dunja Mladenić,

Tutorial: The web of things

Carolina Fortuna,

Marko Grobelnik,

Prototype of the Fact Mining Toolkit

Mitja Trampuš,

Tadej Štajner,

Tadej Štajner,

RENDER Project Deliverable

Text Mining for the Semantic Web.

Marko Grobelnik,

Dunja Mladenic,

Michael J Witbrock,

AnswerArt-contextualized question answering

Marko Grobelnik,

Marko Grobelnik,

Springer Berlin Heidelberg

08391 Working Group Summary–Analyzing Tag Semantics Across Tagging Systems

Marko Grobelnik,

Dunja Mladenic,

Dunja Mladenic,

Schloss Dagstuhl-Leibniz-Zentrum für Informatik

Semantics, Web and Mining: Joint International Workshop, EWMF 2005 and KDO 2005, Porto, Portugal, October 3-7, 2005, Revised Selected Papers

Markus Ackermann,

Bettina Berendt,

Marko Grobelnik,

Dunja Mladenic,

Dunja Mladenic,

Similarity constraints in beam-search induction of predictive clustering trees

Dunja Mladenic,

Dunja Mladenic,

User profiling for the web

Dunja Mladenič,

Marko Grobelnik,

Hierarchical text categorization using coding matrices

Dunja Mladenić,

Marko Grobelnik,

Experimental evaluation of documents classification represented using concept decomposition

Jasminka Dobsa,

Dunja Mladenic,

Marko Grobelnik,

D1. 9.1 Simultaneous ontologies

Marko Grobelnik,

Dunja Mladenić,

Summarization and visualization

Visualization and collaborative filtering for web mining tasks

Marko Grobelnik,

Dunja Mladenic,

Predicting content from hyperlinks

Marko Grobelnik,

Deliverable D1. 1 Report

Nenad Stojanovic,