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BMAW-11                                                                                                                                                Table of Contents


Table of Contents
Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .     i
Program Committee . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                  ii
Table of Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .             iii
Real-time event recognition from video via a “bag-of-activities” . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                                                   1
  Rolf Baxter, Neil M. Robertson and David Lane
Ontology-based generation of Object Oriented Bayesian Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .                                                         9
 Mouna Ben Ishak, Philippe Leray and Nahla Ben Amor
Building a Real-Time System for High-Level Perception . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
 Denver Dash and Long Quoc Tran
Constructing Bayesian Networks for Linear Dynamic Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
 Sander Evers and Peter J.F. Lucas
Exploratory network analysis of large social science questionnaires . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
  Robert J. B. Goudie, Sach Mukherjee and Frances Griffiths
Constructing a Dynamic Bayes Net Model of Academic Advising . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43
 Joshua T. Guerin and Judy Goldsmith
Context-dependent Incremental Intention Recognition through Bayesian Network Model
Construction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
 The Anh Han and Luı́s Moniz Pereira
Using Bayesian Belief Networks for Modeling of Communication Service Provider Businesses . . . . 59
 Pekka Kekolahti
Requirements for Developing Strategic Decision Facilitation and Event Prediction Tools . . . . . . . . . . 68
  Oscar Kipersztok
Modeling Dynamic Systems with Memory: What Is the Right Time-Order? . . . . . . . . . . . . . . . . . . . . . . 75
 Anna Lupińska-Dubicka and Marek J. Druzdzel
A decision support-system for the mediastinal staging of non-small cell lung cancer . . . . . . . . . . . . . . 83
  Manuel Luque, Francisco Javier Dı́ez and Carlos Disdier
Using Tree Augmented Naive Bayesian Classifiers to Improve Engine Fault Models . . . . . . . . . . . . . . 91
 Daniel L. Mack, Gautam Biswas, Xenofon D. Koutsoukos and Dinkar Mylaraswamy
Anomaly Detection in Vessel Tracks using Bayesian networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99
 Steven Mascaro, Kevin B. Korb and Ann E. Nicholson
ABC-BN: A tool for building, maintaining and using Bayesian networks in an environmental
management application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108
 Ann E. Nicholson, Owen Woodberry, Steven Mascaro, Alicia Lucas, Adrian Moorrees and
 Kevin B. Korb
Does Query-Based Diagnostics Work? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117
 Parot Ratnapinda and Marek J. Druzdzel
A Web-based Tool for Expert Elicitation in Distributed Teams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125
  Carlo Spaccasassi and Lea Deleris


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