Visual analytics for video applications. - Pattreeya Tanisaro; Julius Schöning; Kuno Kurzhals; Gunther Heidemann; Daniel Weiskopf (it Inf. Technol., 2015)

Time Series Classification Using Time Warping Invariant Echo State Networks. - Pattreeya Tanisaro; Gunther Heidemann (ICMLA, 2016)

Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks. - Pattreeya Tanisaro; Constantin Lehman; Leon René Sütfeld; Gordon Pipa; Gunther Heidemann (ICANN (1), 2017)

Quasi View-Independent Human Motion Recognition in Subspaces. - Pattreeya Tanisaro; Florian Mahner; Gunther Heidemann (ICMLC, 2017)

An Empirical Study on Bidirectional Recurrent Neural Networks for Human Motion Recognition. - Pattreeya Tanisaro; Gunther Heidemann (TIME, 2018)

A very concise feature representation for time series classification understanding. - Pattreeya Tanisaro; Gunther Heidemann (MVA, 2019)

Dimensionality Reduction for Visualization of Time Series and Trajectories. - Pattreeya Tanisaro; Gunther Heidemann (SCIA, 2019)

Time-dependent data: classification and visualization. - Pattreeya Tanisaro (2019)