Representation of the feature selection algorithm. by Betty Wutzl (6945248)

The main workflow of the proposed algorithm. by Xin Li (51274)

Visual representation of the combination of feature extraction approaches employed and classification algorithms to identify stomata. by Alexandre H. Aono (11603934)

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging by D. Andrew Brown (6584837)

Determination of the Solute Content and Volumetric Properties of Binary Ionic Liquid Mixtures Using a Global Regularity of Molar Volume Expansion by Javad Hekayati (1383249)

“…This regularity is presented for the first time as a robust alternative for the representation of experimental <i>P</i>–ν–<i>T</i>–<i>x</i> data of binary IL+ solute systems, with a much simpler formulation compared to different equations of state and without the inclusion of any temperature-dependent adjusted parameters. …”

The detected blocks. by Xin Li (51274)

Supportive boundary lines and related results. by Xin Li (51274)

MERs and their Fourier descriptor figure. by Xin Li (51274)

The comparison over 3D reconstruction models. by Xin Li (51274)

Flow diagram of the proposed model. by Uğur Ejder (22683228)

“…LIME explanations identified omega-3, folic acid, and dietician support as influential features in individual predictions. However, given the small sample size, binary representation of supplements, and absence of external validation, the observed improvements and associations should be regarded as exploratory rather than definitive. …”

Frequency-comparison plots for the eleven categories of linguistic features. by Olga Kellert (12254765)

AttentiveSkin: To Predict Skin Corrosion/Irritation Potentials of Chemicals via Explainable Machine Learning Methods by Zejun Huang (45753)

“…Then, a series of binary classifiers were developed with five machine learning (ML) algorithms and six molecular representations. …”

PLAB validity verification. by Lei Wang (6656)

“…Drawing inspiration from local binary pattern algorithms used in image processing, we propose a novel method for representing point cloud neighborhoods, which we call Point Cloud Local Auxiliary Block (PLAB). …”

Ablation study on model structure. by Lei Wang (6656)

“…Drawing inspiration from local binary pattern algorithms used in image processing, we propose a novel method for representing point cloud neighborhoods, which we call Point Cloud Local Auxiliary Block (PLAB). …”

Classification result on the ModelNet40 dataset. by Lei Wang (6656)

“…Drawing inspiration from local binary pattern algorithms used in image processing, we propose a novel method for representing point cloud neighborhoods, which we call Point Cloud Local Auxiliary Block (PLAB). …”

Classification results on the FG3D dataset. by Lei Wang (6656)

“…Drawing inspiration from local binary pattern algorithms used in image processing, we propose a novel method for representing point cloud neighborhoods, which we call Point Cloud Local Auxiliary Block (PLAB). …”

Table_1_iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning.docx by Yuan Liu (88411)

“…In this predictor, we introduced a sequence-based feature algorithm consisting of two feature representations, (1) k-mer spectrum and (2) positional nucleotide binary vector, to capture the sequential characteristics of 5hmC sites. …”

Objective performance of fully-automated SLAVV software. by Samuel A. Mihelic (11539996)

Structure-based antibody paratope prediction with 3D Zernike descriptors and SVM by Sebastian Daberdaku (4391767)

Super.Complex identifies likely protein complexes within a PPI network using a distributed supervised AutoML method. by Meghana Venkata Palukuri (11890672)