Opening the black-box of Neighbor Embedding with Hotelling's T2 statistic and Q-residuals

Autor: Rainer, Roman Josef, Mayr, Michael, Himmelbauer, Johannes, Nikzad-Langerodi, Ramin

In contrast to classical techniques for exploratory analysis of high-dimensional data sets, such as principal component analysis (PCA), neighbor embedding (NE) techniques tend to better preserve the local structure/topology of high-dimensional data.

Externí odkaz: http://arxiv.org/abs/2209.01984

Unsupervised approach for online outlier detection in industrial process data

Autor: Bechný, Michal, Himmelbauer, Johannes

Publikováno v: In Procedia Computer Science 2022 200:257-266

Noise in Bug Report Data and the Impact on Defect Prediction Results.

Autor: Ramler, Rudolf, Himmelbauer, Johannes

Publikováno v: 2013 Joint Conference of the 23rd International Workshop on Software Measurement & the 8th International Conference on Software Process & Product Measurement; 2013, p173-180, 8p

Authors' Index.

Publikováno v: 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542); 2004, pXXV-XXVIII, 4p

Database and Expert Systems Applications - DEXA 2022 Workshops : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22–24, 2022, Proceedings

Autor: Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Alfred Taudes, Atif Mashkoor, Johannes Sametinger, Jorge Martinez-Gil, Florian Sobieczky, Lukas Fischer, Rudolf Ramler, Maqbool Khan, Gerald Czech

This volume constitutes the refereed proceedings of the workshops held at the 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, held in Vienna, Austria, in August 2022: The 6th International Workshop on Cyber-Sec