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Pooyan Jamshidi

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Learning LWF Chain Graphs: A Markov Blanket Discovery Approach
A Framework for Robust Control of Uncertainty in Self-Adaptive Software Connectors
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks
Transfer Learning for Performance Analysis of Machine Learning Systems
Transfer Learning for Performance Analysis of Configurable Systems: A Causal Analysis
Machine Learning meets DevOps
Learning to Sample
Integrated Model Discovery and Self-Adaptation of Robots
Transfer Learning for Performance Analysis of Highly-Configurable Software
Architectural Tradeoff in Learning-Based Software
Production-Ready Machine Learning for the Software Architect
Transfer Learning for Software Performance Analysis: An Exploratory Analysis
Architecting for Scale
Learning Software Performance Models for Dynamic and Uncertain Environments