Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction. حسب Uğur Ejder (22683228)

الموضوعات:

Flow diagram of the conversion of drugs into active substances. حسب Uğur Ejder (22683228)

الموضوعات:

Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction. حسب Uğur Ejder (22683228)

الموضوعات:

Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data حسب Lijia Wang (314011)

Passive sensing data. حسب Thierry Jean (20691795)

"…We trained 120 machine learning models to forecast 10 mental states (e.g., Calm, Depressed, Seeing things) from passive sensor data on 2 predictive tasks (ordinal regression, binary classification) with 2 learning algorithms (XGBoost, LSTM) over 3 forecast horizons (same day, next day, next week). …"

Timeline of a single trial for dataset 1. حسب Rabia Avais Khan (16955056)

"…So in this study, a novel framework has been proposed to classify the binary-class electroencephalogram (EEG) data. The proposed framework is tested on BCI Competition IV dataset 1 and BCI Competition III dataset 4a. …"

Block diagram of proposed methodology. حسب Rabia Avais Khan (16955056)

"…So in this study, a novel framework has been proposed to classify the binary-class electroencephalogram (EEG) data. The proposed framework is tested on BCI Competition IV dataset 1 and BCI Competition III dataset 4a. …"

Timeline of a single trial for dataset 2. حسب Rabia Avais Khan (16955056)

"…So in this study, a novel framework has been proposed to classify the binary-class electroencephalogram (EEG) data. The proposed framework is tested on BCI Competition IV dataset 1 and BCI Competition III dataset 4a. …"

DataSheet1_Quantum-inspired optimization for wavelength assignment.PDF حسب Aleksey S. Boev (14441805)

Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf حسب Cecilia Lindig-León (7889777)

DataSheet_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx حسب Massaine Bandeira e Sousa (7866242)

"…Two NIRs devices, the portable QualitySpec® Trek (QST) and the benchtop NIRFlex N-500 were used to collect spectral data. Classification of genotypes was carried out using the K-nearest neighbor algorithm (KNN) and partial least squares (PLS) models. …"

Ordinal regression predictions. حسب Thierry Jean (20691795)

Surveys. حسب Thierry Jean (20691795)

"…We trained 120 machine learning models to forecast 10 mental states (e.g., Calm, Depressed, Seeing things) from passive sensor data on 2 predictive tasks (ordinal regression, binary classification) with 2 learning algorithms (XGBoost, LSTM) over 3 forecast horizons (same day, next day, next week). …"

Ordinal regression task performance. حسب Thierry Jean (20691795)

Label distributions across mental states and dataset splits. حسب Thierry Jean (20691795)

DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx حسب Jun Zhang (48506)

Correlation matrix of all twelve features. حسب Toheeb Salahudeen (21368040)

"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"

Model 3: Biomarkers only. حسب Toheeb Salahudeen (21368040)

"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"

Model 2: Biomarkers + ACE + Age + Gender. حسب Toheeb Salahudeen (21368040)

"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"

Pathways of MOTS-c. حسب Toheeb Salahudeen (21368040)

"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"