TimoKurz
fc6c593f6b
- added xgboost to classify AU and EyeTracking features
2026-01-11 17:21:07 +01:00
10bc7c568a
complete deep svdd training notebook inclucing person wise normalisation
2026-01-02 21:03:58 +01:00
267df136dd
oc com
2026-01-02 13:14:41 +01:00
f0affaed05
AE von ki cluster
2026-01-02 13:14:41 +01:00
a3119e4fc3
tool function for performance based split; new model training notebooks
2026-01-02 12:02:48 +01:00
TimoKurz
f5796a5cdd
- added description to use py-feat
...
- added script:
-- to split a video into 2min clips
-- to extract AUs from a video
2025-12-24 19:08:39 +01:00
a1bdf470cc
changed read me
2025-12-18 15:29:50 +01:00
7708ac1b29
combined dataset creation pipeline
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CPFC_both.py: creates parquet files chunkwise that include study level phase subjectID, FACE_AU and Eye tracking columns
combined_feature_creation.py : creates a single dataset by computing the features in parallel for the same time window --> same sample rate required
2025-12-18 15:25:18 +01:00
b8bebc0944
minor fixes in dataset creation
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changed paths to paulusja ... directory
changed feature extraction for AUs to mean instead of sum
added v1 of merge script of datasets (needs to be adjusted)
2025-12-18 13:04:11 +01:00
TimoKurz
87c5e21daf
- changed MAD Outlier Removal - Function
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- added regulation to xgboost
2025-12-13 13:45:31 +01:00
15b32a9792
removed cell output
2025-12-10 19:35:20 +01:00
fd7981f244
max dist calculation for eye tracking, new notebook for model training
2025-12-10 19:30:25 +01:00
c7295f310c
renamed directory, created mad method python file in tools
2025-12-10 19:29:18 +01:00
TimoKurz
2ee8b96b22
Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kurzti88066/Fahrsimulator_MSY2526_AI
2025-12-10 18:18:49 +01:00
TimoKurz
f3b5fd13f2
- added relative cluster path in xgboost
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- added MAD_Outlier_Remove Function
- added MAD_Outlier_Removal to xgboost in extra file
2025-12-10 18:18:08 +01:00
bc1d6d4cac
moved scaler into separat file
2025-12-10 18:03:23 +01:00
e3d9020032
MAD outlier removal file creation
2025-12-10 16:44:07 +01:00
e444a72889
xgboost groupfold and autoencoder
2025-12-10 16:33:34 +01:00
951550be96
added eye feature dataset generator script
2025-12-04 12:32:34 +01:00
8234893c54
fixed previous commit
2025-12-04 11:09:24 +01:00
95da35b3b1
moved eye features to dataset creation, created empty feature script for eye tracking features
2025-12-04 10:59:48 +01:00
TimoKurz
080bdcfbe3
- moved eyeTrackingFeatures to EDA
...
- updated eyeTrackingFeatures
- added eyeAlt
2025-12-03 19:11:42 +01:00
TimoKurz
d7d0414b14
- added eyetrackingFeatures file
2025-12-03 13:41:48 +01:00
e7aac9dabe
xgboost: 2nd model with grid search and k-fold cross
2025-11-23 12:22:47 +01:00
f5e03cc8d0
Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kurzti88066/Fahrsimulator_MSY2526_AI
2025-11-19 17:36:37 +01:00
c816315381
xgboost notebook first model
2025-11-19 17:36:25 +01:00
58d92fb423
ae notebook
2025-11-19 17:31:52 +01:00
846e739041
Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kurzti88066/Fahrsimulator_MSY2526_AI
2025-11-12 16:41:30 +01:00
ecd1daf4a2
fortschritt xgboost
2025-11-12 16:40:57 +01:00
5f00341b1b
changed data preprocessing in i forest training
2025-11-12 16:37:16 +01:00
58faff8f68
changed dataset creation for face au
2025-11-12 16:36:35 +01:00
2eddb73644
added empty xgboost notebook
2025-11-12 15:16:01 +01:00
7c4fadb951
new files
2025-11-10 11:31:42 +01:00
fb29a1333e
iforest training
2025-11-05 21:31:16 +01:00
77dbc4a109
added model training file structure
2025-11-05 17:02:11 +01:00
37ab7cb620
added histogramms for AU EDA
2025-11-03 10:24:02 +01:00
e7d26e9a6d
deleted cell outpout in notebooks
2025-11-02 21:05:06 +01:00
ab3ba28a71
revert c5a61c9e55c9a92869db3e7108be64864c09cc23
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revert Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kurzti88066/Fahrsimulator_MSY2526_AI
2025-11-02 19:59:39 +00:00
c5a61c9e55
Merge branch 'main' of https://git.efi.th-nuernberg.de/gitea/kurzti88066/Fahrsimulator_MSY2526_AI
2025-11-02 20:55:07 +01:00
a6a0dd3ac5
added 2-class separation in "open parquet-test"
2025-11-02 20:55:01 +01:00
b92a37e66d
research on performance and extra script
2025-10-31 18:27:58 +01:00
25aa03398a
added performance research
2025-10-31 17:40:20 +01:00
c80e8808f2
restructured repo, fixed git ignore
2025-10-31 16:37:08 +01:00
7a6912d4c7
changed range of files
2025-10-30 15:29:50 +01:00
4ac4a8636b
step 2: feature table creation script
2025-10-30 15:26:05 +01:00
a619f5ad8e
create cleaned parquet files
2025-10-30 14:25:57 +01:00
991ca1ebba
fixed git ignore
2025-10-27 17:59:19 +01:00
197534e12a
added gitignore file to repository
2025-10-27 17:58:33 +01:00
0aeeb3f4d3
added owncloud data request notebook
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reading full "SIGNAL" table for 4 columns might kill the kernel. Maybe use partial requests in pd.read_hdf() with start and stop
2025-10-27 17:56:59 +01:00
8d06bb5f5d
suche nach augensignalen
2025-10-16 15:45:22 +02:00
