Sunday, July 8th, 2007
| 9:00 am | Opening of IDAMAP Workshop |
| Carlo Combi and Allan Tucker | |
| 9:15 am | Invited presentation |
| Jose Pena: Three Feature Selection Problems (with Solutions) | |
| 10:00 am | Paper session: Probabilistic and Bayesian Analysis (Chair: Stephen Swift) |
| *** | 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) |
| *** | S Swift, A Tucker and M Hirsch Improving the Performance of Consensus Clustering Through Seeding: An Application to Visual Field Data |
| *** | 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) |
| *** | 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 |
| *** | V Moustakis, ML Laine, L Koumakis, G Potamias, L Zampetakis and BG Loos Modeling Genetic Susceptibility: a case study in periodontitis |
| *** | 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) |
| *** | R Azulay, R Moskovitch, D Stopel, M Verduijn, E de Jonge and Y Shahar Temporal Discretization of medical time series - A comparative study |
| *** | 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