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291 to 300 of 1,364 Results
Consent-details.txt
May 14, 2024 - Replication Data for: Learning to predict - second language perception of reduced multi-word sequences
Plain Text - 1.8 KB - MD5: a9d7366e9f503a3fdde7a30e14b9176e
Documentation of participants' consent to the use of the data
Data_Protection_Impact_Assessment_TROLLing_Lorenz_2024.pdf
May 14, 2024 - Replication Data for: Learning to predict - second language perception of reduced multi-word sequences
Adobe PDF - 382.0 KB - MD5: 22efe17edd3992a9c436d2eab7f8bf7f
Assessment of whether open publication is in line with applicable legal and research-ethical rules and guidelines
LearningToPredict_accuracy.R.txt
May 14, 2024 - Replication Data for: Learning to predict - second language perception of reduced multi-word sequences
Plain Text - 28.0 KB - MD5: 9f46891a6773b6420dc4d110540a8ad2
The R script for the model on response accuracy
LearningToPredict_Data.RData
May 14, 2024 - Replication Data for: Learning to predict - second language perception of reduced multi-word sequences
R Data - 226.1 KB - MD5: 5e950e37b770e15e595d1d3305474cbe
The data in RData format (readable in R)
LearningToPredict_GAMM_and_plots.R.txt
May 14, 2024 - Replication Data for: Learning to predict - second language perception of reduced multi-word sequences
Plain Text - 38.1 KB - MD5: 17261b4730c8cb98a26e876c2c634349
The R script for the model and graphs on response times
ltp_final.csv
May 14, 2024 - Replication Data for: Learning to predict - second language perception of reduced multi-word sequences
Comma Separated Values - 391.4 KB - MD5: 4bf0c6a15876d0ea9dba7013175b1b24
includes only correct responses on target items
ltp_items.csv
May 14, 2024 - Replication Data for: Learning to predict - second language perception of reduced multi-word sequences
Comma Separated Values - 551.1 KB - MD5: 292ad87e445d936bbcd12f1df86f85fe
Includes only target items [i.e. no control and distractor items], responses marked for 'correct' (yes/no)
ltp_results.csv
May 14, 2024 - Replication Data for: Learning to predict - second language perception of reduced multi-word sequences
Comma Separated Values - 1.2 MB - MD5: 91bc683d829fbaf01b44014ee64e4b45
the complete ‘raw’ data
Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
May 10, 2024 - NTNU Colourlab
Vats, Anuja, 2024, "Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations", https://doi.org/10.18710/HSMJLL, DataverseNO, V1
The dataset comprises the pretraining and testing data for our work: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations. The pretaining data consists of images corresponding to the Digital Surface Models (DS...
00_ReadMe.txt
May 10, 2024 - Replication Data for: Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
Plain Text - 4.9 KB - MD5: a15f845237699a3d3ef78c8b95d1bbe9
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