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TACAS
2007
Springer
99views Algorithms» more  TACAS 2007»
13 years 11 months ago
"Don't Care" Modeling: A Logical Framework for Developing Predictive System Models
Analysis of biological data often requires an understanding of components of pathways and/or networks and their mutual dependency relationships. Such systems are often analyzed and...
Hillel Kugler, Amir Pnueli, Michael J. Stern, E. J...
ICTAI
2007
IEEE
13 years 11 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
AOSE
2007
Springer
13 years 11 months ago
Developing a Multiagent Conference Management System Using the O-MaSE Process Framework
This paper describes how the Organization-based Multiagent Systems Engineering (O-MaSE) methodology can be applied to an exemplar multiagent system, the Conference Management Syste...
Scott A. DeLoach
ICCS
2007
Springer
13 years 11 months ago
A Multiscale, Cell-Based Framework for Modeling Cancer Development
We use a systems approach to develop a predictive model that medical researchers can use to study and treat cancerous tumors. Our multiscale, cell-based model includes intracellula...
Yi Jiang
UML
2005
Springer
13 years 10 months ago
Reliability Prediction in Model-Driven Development
Abstract. Evaluating the implications of an architecture design early in the software development lifecycle is important in order to reduce costs of development. Reliability is an ...
Genaína Nunes Rodrigues, David S. Rosenblum...