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SAC
2009
ACM
14 years 3 months ago
On-line adaptation of sequential mobile processes running concurrently
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Massimiliano de Leoni, Giuseppe De Giacomo, Yves L...
SAC
2009
ACM
14 years 3 months ago
Decomposing port automata
Port automata are an operational model for component connectors in a coordination language such as Reo. They describe which sets of ports can synchronize in each state of the conn...
Christian Koehler, Dave Clarke
SAC
2009
ACM
14 years 3 months ago
A biochemical metaphor for developing eternally adaptive service ecosystems
Mirko Viroli, Matteo Casadei, Sara Montagna, Franc...
SAC
2009
ACM
14 years 3 months ago
On a discretizable subclass of instances of the molecular distance geometry problem
The molecular distance geometry problem can be formulated as the problem of finding an immersion in R3 of a given undirected, nonnegatively weighted graph G. In this paper, we di...
Carlile Lavor, Leo Liberti, Antonio Mucherino, Nel...
SAC
2009
ACM
14 years 3 months ago
agentTool process editor: supporting the design of tailored agent-based processes
This paper describes the agentTool Process Editor (APE), an Eclipse plug-in based on the Eclipse Process Framework. The aim of APE is to facilitate the design, verification, and m...
Juan C. García-Ojeda, Scott A. DeLoach, Rob...
SAC
2009
ACM
14 years 3 months ago
A collaborative tool for designing and enacting design processes
Today several approaches using Situational Method Engineering paradigm exist, each of them proposes methods and techniques for developing ad-hoc design processes. In this context ...
Massimo Cossentino, Luca Sabatucci, Valeria Seidit...
SAC
2009
ACM
14 years 3 months ago
Adaptive burst detection in a stream engine
Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operat...
Marcel Karnstedt, Daniel Klan, Christian Pöli...
SAC
2009
ACM
14 years 3 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
SAC
2009
ACM
14 years 3 months ago
A new protein motif extraction framework based on constrained co-clustering
Signal finding (pattern discovery) in biological sequences is a fundamental problem in both computer science and molecular biology. Many approaches have been proposed for extract...
Francesca Cordero, Alessia Visconti, Marco Botta