Findings in terms of stability of the classification accuracy are robust to the classifier choice. by Renato Giliberti (12442135)

Table_1_Management of Metastatic Endometrial Cancer: Physicians’ Choices Beyond the First Line. A MITO Survey.docx by Gaia Giannone (12656368)

“…</p>Methods<p>We designed a self-administered, multiple-choice online questionnaire available only for MITO members for one month, starting in April 2021.…”

Data_Sheet_1_Exploring Multiple Strategic Problem Solving Behaviors in Educational Psychology Research by Using Mixture Cognitive Diagnosis Model.PDF by Jiwei Zhang (122911)

fNIRS signals recording procedure. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

PAM graphs of the runs in Strategy 3. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

PAM graph. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Labeling strategy. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Decomposition of the fNIRS signal using ICEEMDAN. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Strategy 1 and Strategy 3 trial distribution. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Strategy 2 trial distribution. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Detectors, sources, and channels. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Block diagram of the proposed method. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Interpolated fNIRS signal. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Triple window shifting operation. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Experimental flowchart. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

PAM graphs of the runs in Strategy 1. by Ural Akincioglu (21772538)

“…The proposed method consists of pre-processing, feature extraction, and classification stages. In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Comparison results of each classification model. by Ke Peng (2220973)

Comparing LD₅₀/LC₅₀ Machine Learning Models for Multiple Species by Thomas R. Lane (6195626)

Table_1_Partial Least Squares Regression Performs Well in MRI-Based Individualized Estimations.docx by Chen Chen (6544)

“…In fact, the present estimations were better than those reported in literatures, as indicated by stronger correlations between the estimated and actual CBD variables, as well as high gender classification accuracy (97.8% in this study). Moreover, the RSFCs that contributed to the estimations exhibited strong correlations with the CBD variable estimated, that is, PLSR algorithm automatically selected the RSFCs closely related to one CBD variable to establish predictive models for the variable. …”

SDM_analyses_code.R by Sydne Record (10504856)

“…<p>We compared the predictive ability of 11 model algorithms contained within the Biomod2 version 3.1 package in R: Generalized Linear Model (GLM), Generalized Additive Model (GAM), Generalized Boosting Model (GBM), Classification Tree Analysis (CTA), Artificial Neural Network (ANN), Surface Range Envelop (SRE), Flexible Discriminant Analysis (FDA), Multiple Adaptive Regression Splines (MARS), Random Forest (RF), Maximum Entropy (Maxent), and an ensemble prediction based on these 11 algorithms (Thuiller et al. 2009; Thuiller et al. 2016). …”