A Framework for Quantifying Error Proneness in Software. - Renate Sitte (APAQS, 2000)

Analysis of the predictive ability of time delay neural networks applied to the S&P 500 time series. - Renate Sitte; Joaquin Sitte (IEEE Trans. Syst. Man Cybern. Part C, 2000)

Neural Networks Approach to the Random Walk Dilemma of Financial Time Series. - Renate Sitte; Joaquin Sitte (Appl. Intell., 2002)

Visualizing Reliability in MEMS VR-CAD Tool. - Renate Sitte (WSCG, 2003)

Comparison of techniques for environmental sound recognition. - Michael A. Cowling; Renate Sitte (Pattern Recognit. Lett., 2003)

Optimizing Testing Efficiency with Error-Prone Path Identification and Genetic Algorithms. - James R. Birt; Renate Sitte (Australian Software Engineering Conference, 2004)

Interactive teaching of elementary digital logic design with WinLogiLab. - Charles H. Hacker; Renate Sitte (IEEE Trans. Educ., 2004)

Modelling Dam Water Level Changes in a Drought Affected Catchment Area using Neural Networks. - Ken Udono; Renate Sitte (Artificial Intelligence and Applications, 2005)

Identifying Error Proneness in Path Strata with Genetic Algorithms. - James R. Birt; Renate Sitte (APSEC, 2005)

Effectiveness of Genetic Algorithms for Potential Error Detection in Software using Random Error Seeding. - James R. Birt; Renate Sitte (IASTED Conf. on Software Engineering, 2005)

Scaling for MEMS Virtual Prototyping: Size and Motion Dynamics Visualizations. - Zhaoyi Li; Renate Sitte (WSCG (Short Papers), 2005)

Identifying Error Prone Paths in Software With Genetic Algorithms. - James R. Birt; Renate Sitte (IASTED Conf. on Software Engineering, 2006)

Layered fluid model and flow simulation for microchannels using electrical networks. - Manisah Aumeerally; Renate Sitte (Simul. Model. Pract. Theory, 2006)