Early Cognition Lab

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1 to 10 of 11 Results

Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality Nov 14, 2020 Gabrieli, Giulio; Zhang, Lijun; Setoh, Peipei, 2020, "Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality", https://doi.org/10.21979/N9/0FU9ZG, DR-NTU (Data), V2, UNF:6:kPNKAuB3E6Sk9elIDziVzA== [fileUNF] Fixation time measures have been widely adopted in infants' and young children's studies, because they can successfully tap on infants' meaningful nonverbal behaviors. While recording preverbal children's behavior is relatively simple, the analysis of collected signals requires e...
db.tab Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality Tabular Data - 28.3 KB - 38 Variables, 112 Observations - UNF:6:Ilgsr+/po2mt0okcjiWeRQ== Data Database used for this study.
kNN.joblib Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality Unknown - 603.8 KB - MD5: a24fc06c9c4a792d684b960a490d3615 Models Dump of the trained classifier
LinearSVC.joblib Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality Unknown - 80.1 KB - MD5: 279b1cc95325a44a08d61a20f5ffd7c7 Models Dump of the trained classifier
ml.py Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality Python Source Code - 11.7 KB - MD5: 5e56391333eb91d9a1579c89fe05c523 Code Script used to train and test the classifiers on NTU's HPC Gekko cluster
NonLinearSVC.joblib Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality Unknown - 1.0 MB - MD5: 32bad55a09af3c19e3a62f1d85828ad7 Models Dump of the trained classifier
output_1605001925.txt Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality Plain Text - 1.6 KB - MD5: cd1b9175bc06ba72c21557a2fbe2d672 Documentation Timestamped output file.
scores.tab Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality Tabular Data - 401 B - 8 Variables, 3 Observations - UNF:6:urkJqTSw8q/YhkhNmar/Sw== Data Scores (Accuracy, Precision, Recall, F1, MCC) of the three classifiers.
Data on Parents With Greater Religiosity Lie Less to Their Children Sep 2, 2020 Setoh Peipei; Zhao Siqi, 2020, "Data on Parents With Greater Religiosity Lie Less to Their Children", https://doi.org/10.21979/N9/D3EMUS, DR-NTU (Data), V2, UNF:6:12CdCn1uQgXnm1Qd+w8yVg== [fileUNF] The present data are reported in the article “Parents With Greater Religiosity Lie Less to Their Children" (Setoh et al., 2020). The dataset contains self-reported responses from 52 Singaporean parents. Parents completed the Singapore Parental Lying Scale, the Duke University Rel...
Readme.txt Sep 2, 2020 - Data on Parents With Greater Religiosity Lie Less to Their Children Plain Text - 573 B - MD5: 62d50827e10f34842d44bebfffd21dce

Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality

Nov 14, 2020

Gabrieli, Giulio; Zhang, Lijun; Setoh, Peipei, 2020, "Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality", https://doi.org/10.21979/N9/0FU9ZG, DR-NTU (Data), V2, UNF:6:kPNKAuB3E6Sk9elIDziVzA== [fileUNF]

Fixation time measures have been widely adopted in infants' and young children's studies, because they can successfully tap on infants' meaningful nonverbal behaviors. While recording preverbal children's behavior is relatively simple, the analysis of collected signals requires e...

db.tab

Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality

Tabular Data - 28.3 KB - 38 Variables, 112 Observations -

Data

Database used for this study.

kNN.joblib

Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality

Unknown - 603.8 KB -

Models

Dump of the trained classifier

LinearSVC.joblib

Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality

Unknown - 80.1 KB -

Models

Dump of the trained classifier

ml.py

Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality

Python Source Code - 11.7 KB -

Code

Script used to train and test the classifiers on NTU's HPC Gekko cluster

NonLinearSVC.joblib

Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality

Unknown - 1.0 MB -

Models

Dump of the trained classifier

output_1605001925.txt

Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality

Plain Text - 1.6 KB -

Documentation

Timestamped output file.

scores.tab

Nov 14, 2020 - Related Data for: A Machine Learning Approach For The Automatic Estimation Of Fixation-Time Data Signals’ Quality

Tabular Data - 401 B - 8 Variables, 3 Observations -

Data

Scores (Accuracy, Precision, Recall, F1, MCC) of the three classifiers.

Data on Parents With Greater Religiosity Lie Less to Their Children

Sep 2, 2020

Setoh Peipei; Zhao Siqi, 2020, "Data on Parents With Greater Religiosity Lie Less to Their Children", https://doi.org/10.21979/N9/D3EMUS, DR-NTU (Data), V2, UNF:6:12CdCn1uQgXnm1Qd+w8yVg== [fileUNF]

The present data are reported in the article “Parents With Greater Religiosity Lie Less to Their Children" (Setoh et al., 2020). The dataset contains self-reported responses from 52 Singaporean parents. Parents completed the Singapore Parental Lying Scale, the Duke University Rel...

Readme.txt

Sep 2, 2020 - Data on Parents With Greater Religiosity Lie Less to Their Children

Plain Text - 573 B -

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