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ORCID13. BMA@UAI 2016: New York City, USA
- Rommel Novaes Carvalho, Kathryn Blackmond Laskey:
Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), New York City, NY, USA, June 25, 2016. CEUR Workshop Proceedings 1663, CEUR-WS.org 2016
Full Papers
- Jidapa Kraisangka, Marek J. Druzdzel, Raymond L. Benza:
A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian Network. 1-6 - Leonardo Jorge Sales, Rommel Novaes Carvalho:
Measuring the Risk of Public Contracts Using Bayesian Classifiers. 7-13 - Leon Sólon da Silva, Henrique Rigitano, Rommel Novaes Carvalho, João Carlos Félix Souza:
Bayesian Networks on Income Tax Audit Selection - A Case Study of Brazilian Tax Administration. 14-20 - Robert Schrag, Edward Wright, Robert Kerr, Robert Johnson:
Target Beliefs for SME-oriented Bayesian Network-based Modeling. 21-27 - Ricardo Silva Carvalho, Rommel Novaes Carvalho:
Bayesian Models to Assess Risk of Corruption of Federal Management Units. 28-35 - Umit Tokac, Russell G. Almond:
The Efficacy of the POMDP-RTI Approach for Early Reading Intervention. 36-43 - Debatri Chatterjee, Aniruddha Sinha, Meghamala Sinha, Sanjoy Kumar Saha:
A Probabilistic Approach for Detection and Analysis of Cognitive Flow. 44-53
Extended Abstract
- Anthony C. Constantinou, Norman E. Fenton:
Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance. 54-55
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