21,051 to 21,060 of 21,092 Results
Nov 2, 2020 - PN 6-4
Munz, Tanja; Schäfer, Noel; Blascheck, Tanja; Kurzhals, Kuno; Zhang, Eugene; Weiskopf, Daniel, 2020, "Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games", https://doi.org/10.18419/DARUS-1130, DaRUS, V1
Supplemental material for "Comparative Visual Gaze Analysis for Virtual Board Games". Contains the source code, an executable file, an example data set, a video for demonstration of the analysis system and additional information about Go. The analysis system supports eye tracking researchers in analyzing and comparing eye movement behavior of two p... |
PNG Image - 662.9 KB -
MD5: 5068b2ecd03c252fdf386983052df6d8
Screenshot of the analysis system |
ZIP Archive - 63.8 MB -
MD5: 8082811d4563eaffbed93e1bdfc0dd05
Video demonstrating the features of the system |
ZIP Archive - 101.2 MB -
MD5: dd836aa0f27d6260f8b011143a6ae60d
Example dataset that was recorded with two different eye trackers; it can be loaded into the analysis system |
ZIP Archive - 1.0 MB -
MD5: 78e6d3f046a965031bfc2f51055a11f4
Additional information about Go |
Markdown Text - 6.3 KB -
MD5: d3274de99af618853a65ef6a2704dd45
Information about the analysis system |
ZIP Archive - 29.5 MB -
MD5: 2e358ba20bb0d45552fa4e6066220390
Executable files of the analysis system |
ZIP Archive - 29.5 MB -
MD5: cf60c265a2cb8e048f2ca44d571ad19a
Java source code of the analysis system |
Jul 21, 2020 - PINN Dynamic System
Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/DARUS-634, DaRUS, V1
This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods. |
Jul 21, 2020 -
Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System
MS Excel Spreadsheet - 19.1 KB -
MD5: 9b88868eeef277937d0c729615e217de
ANN parameters for the regularization method "MSE+L2+PHY" |