Regular posters concern papers selected for publication and will be presented during the poster session on Friday.
At the start of the session, authors are invited to give a two-minute spotlight presentation to introduce their poster to the audience. For more information, refer to the author instructions.
- Extracting Predictive Models from Marked-Up Free-Text Documents at The Royal Botanic Gardens, Kew, London
Allan Tucker and Don Kirkup - Modeling stationary data by a class of generalized Ornstein-Uhlenbeck processes: the Gaussian case.
Argimiro Arratia, Alejandra Cabaña and Enrique Cabaña - Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD
Christian Borgelt and David Picado-Muiño - Identifying Bilingual Segments for Translation Generation
Kavitha Karimbi Mahesh, Luís Gomes and José Lopes - Model-based Time Series Classification
Alexios Kotsifakos and Panagiotis Papapetrou - Comparing Pre-Defined Software Engineering Metrics with Free-Text for the Prediction of Code ‘Ripples’
Steve Counsell, Allan Tucker, Stephen Swift and Guy Fitzgerald - An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time
Luis Moreira-Matias, João Gama, João Mendes-Moreira and Jorge Freire De Sousa - ApiNATOMY: Towards Multiscale Views of Human Anatomy
Bernard de Bono, Pierre Grenon, Michiel Helvensteijn, Joost Kok and Natallia Kokash - Widened KRIMP: Better Performance Through Diverse Parallelism
Oliver Sampson and Michael Berthold - RealKrimp – Finding Hyperintervals that Compress with MDL for Real-Valued Data
Jouke Witteveen, Wouter Duivesteijn, Arno Knobbe and Peter Grünwald - A Spatio-Temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries
Neda Trifonova, Allan Tucker, Daniel Duplisea and Andrew Kenny - Mining Representative Frequent Patterns in a Hierarchy of Contexts
Julien Rabatel, Sandra Bringay and Pascal Poncelet - Fast simultaneous clustering and feature selection for binary data
Charlotte Laclau and Mohamed Nadif - Mining longitudinal epidemiological data to understand a reversible disorder
Tommy Hielscher, Myra Spiliopoulou, Henry Völzke and Jens-Peter Kühn - ERMiner: Sequential Rule Mining using Equivalence Classes
Philippe Fournier-Viger and Souleymane Zida - An approach to controlling the runtime for search based modularisation of sequential source code check-ins
Mahir Arzoky, Stephen Swift, Steve Counsell and James Cain - A nonparametric mixture model for personalizing web search
El Mehdi Rochd and Mohamed Quafafou - The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction
Somsack Inthasone, Nicolas Pasquier, Andrea Tettamanzi and Célia Da Costa Pereira
