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» Reducing the cognitive complexity of business process models
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IJCNN
2007
IEEE
15 years 4 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
MICAI
2005
Springer
15 years 3 months ago
Agent-Based Simulation Replication: A Model Driven Architecture Approach
In Multi-agent based simulation (MABS) systems, computational models are built as multi-agent systems (MAS). Replication of these models can contribute to improve the reliability o...
Candelaria Sansores, Juan Pavón
ICIP
2007
IEEE
15 years 11 months ago
Hierarchical Feature Fusion for Visual Tracking
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
Alexandros Makris, Dimitrios I. Kosmopoulos, Stavr...
IICAI
2007
14 years 11 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
SAC
2004
ACM
15 years 3 months ago
WebUml: reverse engineering of web applications
Web applications have become complex and crucial for many firms, especially when combined with areas such as CRM (Customer Relationship Management) and BPR (Business Process Reen...
Carlo Bellettini, Alessandro Marchetto, Andrea Tre...