Evaluating the learning effectiveness of using simulations in software project management education: results from a twice replicated experiment. - Dietmar Pfahl; Oliver Laitenberger; Günther Ruhe; Jörg Dorsch; Tatyana Krivobokova (Inf. Softw. Technol., 2004)

Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images. - Pascal Peter; Joachim Weickert; Axel Munk; Tatyana Krivobokova; Housen Li (EMMCVPR, 2014)

Kernel Partial Least Squares for Stationary Data. - Marco Singer; Tatyana Krivobokova; Axel Munk (J. Mach. Learn. Res., 2017)

Joint non-parametric estimation of mean and auto-covariances for Gaussian processes. - Tatyana Krivobokova; Paulo Serra; Francisco Rosales; Karolina Klockmann (Comput. Stat. Data Anal., 2022)

Uniformly valid inference based on the Lasso in linear mixed models. - Peter Kramlinger; Ulrike Schneider 001; Tatyana Krivobokova (J. Multivar. Anal., 2023)

Prediction of Enzyme Catalysis by Computing Reaction Energy Barriers via Steered QM/MM Molecular Dynamics Simulations and Machine Learning. - Daniel Platero-Rochart; Tatyana Krivobokova; Michael Gastegger; Gilbert Reibnegger; Pedro A. Sánchez-Murcia (J. Chem. Inf. Model., 2023)

On Second-Order Statistics of the Log-Average Periodogram for Gaussian Processes. - Karolina Klockmann; Tatyana Krivobokova (IEEE Signal Process. Lett., 2024)