ArchiveTuesday, September 9th, 2014
| 09:00–10:40 | CEIM. Chair: Hung Son Nguyen/Adam Krasuski (room 310) |
| A Framework for Dynamic Analytical Risk Management at the Emergency Scene. From Tribal to Top Down in the Risk Management Maturity Model | |
| Virtual Reality for Fire Evacuation Research - | |
| A Granular Evacuation Modeling Framework | |
| Heuristic to Build RCC8 for Event Locations – Majed Ayyad | |
| MITC: An Intention-Based Model for Cooperative Resolution of Traffic Conflicts – Alejandro Triana Castañeda, Enrique González Guerrero |
| 14:00–15:40 | CEIM/CEIM-DM. Chair: Max Kinateder (room 310) |
| Evaluation of a Heat Release Rate based on Massively Generated Simulations and Machine Learning Approach - Mateusz Fliszkiewicz, Adam Krasuski, Karol Krenski | |
| Using Fuzzy Logic and Q-Learning for Trust Modeling in Multi-agent Systems – Abdullah Aref, Thomas Tran | |
| A Brain Emotional Learning-based Prediction Model A Brain Emotional Learning-based Prediction Model For the Prediction of Geomagnetic Storms – Mahboobeh Parsapoor, Urban Bilstrup, Bertil Svensson | |
| Data Cleansing of the Fire & Rescue Text Corpus. The Case Study of Correction of the Misspellings and Segmentation into Sentences - Karol Kreński, Mateusz Fliszkiewicz | |
| Key Risk Factors for Polish State Fire Service: a Data Mining Competition at Knowledge Pit - |
| 16:00–18:00 | CEIM-DM. Chair: Andrzej Janusz (room 310) |
| Parsimonious Naive Bayes | |
| Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets | |
| Identification of Key Risk Factors for the Polish State Fire Service with Cascade Step Forward Feature Selection | |
| Building an Ensemble from a Single Naive Bayes Classifier in the Analysis of Key Risk Factors for Polish State Fire Service | |
| Robust Method of Sparse Feature Selection for Multi-Label Classification with Naive Bayes - | |
| Feature Selection for Naive Bayesian Network Ensemble using Evolutionary Algorithms |
