DPhil thesis, peer reviewed publications, technical reports, position papers etc., in reverse chronological order.

• The Structural Inference of Large Regulatory Networks (DPhil thesis) (Fogelberg)
• GreenSim: A network simulator for comprehensively validating and evaluating new machine learning techniques for network structural inference (Fogelberg, Palade)

• Evaluating clustering algorithms for genetic regulatory network structural inference (Fogelberg, Palade)
• Machine learning and genetic regulatory networks: a review and a roadmap (Fogelberg, Palade)

• Fuzzy Bayesian networks for network inference (Transfer Report) (Fogelberg)
• Belief propagation in fuzzy Bayesian networks: A worked example (Fogelberg)
• GreenSim: a genetic regulatory network simulator (PRG-RR-08-07) (Fogelberg, Palade)
• Belief propagation in fuzzy Bayesian networks (Fogelberg, Palade, Assheton)
• Machine learning for genetic regulatory networks: a review and a roadmap (CS-RR-08-04) (Fogelberg, Palade)
• Position Paper: Is the number of parameters the best measure of complexity? (Fogelberg, Palade)

• A linear structured approach and a refined fitness function in genetic programming for multi-class object classification (Zhang, Fogelberg, Ma)
• Ownership meets Java (Fogelberg, Potanin, Noble)
• Genetic programming for image recognition: an LGP approach (Zhang, Fogelberg)

• VUWLGP: an ANSI C++ linear GP package (CS-TR-05/8) (Fogelberg, Zhang)
• Linear GP for multi-class classification problems (Dissertation) (Fogelberg)
• Linear GP for multi-class object classification (Fogelberg, Zhang)