Jose Pena: Three Feature Selection Problems (with Solutions)
10:00 am
Paper session: Probabilistic and Bayesian Analysis (Chair: Stephen Swift)
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A Millinghoffer, G Hullam and P Antal On inferring the most probable sentences in Bayesian logic
***
E Peeling, A Tucker and PAC 't Hoen Discovery of local regulatory structure from microarray gene expression data using Bayesian networks
*
M van Gerven Tensor Decompositions for Probabilistic Classification
10:50 am
Break
11:20 am
Paper session: Feature Selection / Reduction and Visualisation (Chair: Blaz Zupan)
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S Swift, A Tucker and M Hirsch Improving the Performance of Consensus Clustering Through Seeding: An Application to Visual Field Data
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C Fuchsberger, C Chan, S Ongarello, M Sips, I Feuerstein, A Pelzer, G Bonn, G Bartsch and H Klocker Visual Feature Selection in Biological Time-Series for Mass Spectrometry based Biomarker Discovery
*
D Klimov and Y Shahar Intelligent Visualization of Temporal Associations for Multiple Time-Oriented Patients Records
*
F Portet, F Gao, J Hunter and R Quiniou Reduction of Large Training Set by Guided Progressive Sampling. Application to Neonatal Intensive Care Data
12:30 pm
Lunch
2:00 pm
Paper session: Classification and Filtering (Chair: Allan Tucker)
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O Luaces, F Taboada, GM Albaiceta and A Bahamonde The Weight of Variable Groups for the Prediction of Probability of Survival in ICU Patients
***
M Kukar, D Tzikas and A Likas Using Kernel Based Classifiers for Reliable Predictions in Medical Diagnostics
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V Moustakis, ML Laine, L Koumakis, G Potamias, L Zampetakis and BG Loos Modeling Genetic Susceptibility: a case study in periodontitis
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N Peek, M Verduijn, E de Jonge and B de Mol An empirical comparison of four procedures for filtering monitoring data
3:20 pm
Break
3:40 pm
Paper session: Temporal Datamining / Information Retrieval (Chair: Silvia Miksch)
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R Azulay, R Moskovitch, D Stopel, M Verduijn, E de Jonge and Y Shahar Temporal Discretization of medical time series - A comparative study
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R Moskovitch, D Stopel, M Verduijn, N Peek, E de Jonge, and Y Shahar Analysis of ICU patients using temporal patterns
***
S Andreassen, A Zalounina, L Leibovichi and M Paul Learning susceptibility of a pathogen to antibiotics using data from similar pathogens
*
MJ O�Connor, RD Shankar and AK Das Reusable Semantic Web-based Methods to Query Temporal Patterns: Application to Clinical Trials Management
*
C Larizza and P Ciccarese An Extensible Software Framework for Temporal Data Processing
*
G Tusch, M O�Connor, T Redmond, R Shankar and A Das SPOT � Utilizing Temporal Data for Data Mining in Medicine
*
L Sacchi, R Bellazzi, S Quaglini, A Sinico and G Moroni Temporal Rules to Predict Renal Flares in Lupus Nephritis
5:30 pm
Closing
6:00 pm
Canal Tour
Timing of presentations:
Invited talks: 35 minutes + 10 minutes discussion
Long presentations (***): 15+5 minutes
Short presentation (*): 8+2 minutes
