An illustrated example of Algorithm 1 (Fig 1). حسب Kathleen M. Jagodnik (10170617)

An example of a type of texture of binary preferred/non-preferred ranges of raw vegetation index values type feature. حسب Elise Varaela Voltura (17592996)

Example depiction of the autoML process. حسب Cynthia Lokker (3813832)

An example binary tree for H-SuperVec(X): A hierarchical structure obtained by partitioning the class labels of each parent node into equal size subsets. حسب Dhananjay Kimothi (8575089)

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

"…<b>(C)</b> The whole training data is then scanned, searching for these sequences and deriving a re-encoded dataset where interaction terms are binary features (i.e., 1 if sequence <i>i</i> is observed in <i>j</i>-th patient genotype, 0 otherwise). …"

EvoImp’s GA structure example. حسب Antonio Fernando Lavareda Jacob Junior (17816730)

An example of a type of percent cover of preferred ranges of vegetation index texture values type feature. حسب Elise Varaela Voltura (17592996)

An example of a type of a percent cover of preferred ranges of raw vegetation index values type feature. حسب Elise Varaela Voltura (17592996)

UNet++ type architecture [68] used for all the problems in this paper. حسب Dylan D. Ray (3741823)

Joint Network Reconstruction and Community Detection from Rich but Noisy Data حسب Jie Hu (130301)

Data generation process. حسب Nicola Dietler (12551766)

"…We evolve it on a perfect binary tree over a fixed number <i>n</i> of “generations” (i.e., tree levels, corresponding to branching events), here <i>n</i> = 2 generations. …"

Table_1_A toolbox for decoding BCI commands based on event-related potentials.XLSX حسب Christoph Reichert (8962835)

"…Error-related potentials and the N2pc signal are further examples of ERPs used for BCI control. One challenge in decoding brain activity from the electroencephalogram (EEG) is the selection of the most suitable channels and appropriate features for a particular classification approach. …"

Table_1_A toolbox for decoding BCI commands based on event-related potentials.XLSX حسب Christoph Reichert (8962835)

"…Error-related potentials and the N2pc signal are further examples of ERPs used for BCI control. One challenge in decoding brain activity from the electroencephalogram (EEG) is the selection of the most suitable channels and appropriate features for a particular classification approach. …"

Gene Scores - Adjusted - Regular حسب David Groenewoud (11131485)

"…<div>Gene scores for selected combinations of phenotypes and</div><div>SNV-to-gene mappings as calculated using genuine summary </div><div>statistics with MAGMA's (v1.08) SNP-Wise Mean algorithm, after adjustment for residual effects of known confounders.…"

Gene Scores - Unadjusted - Regular حسب David Groenewoud (11131485)

"…<div>Gene scores for selected combinations of phenotypes and</div><div>SNV-to-gene mappings as calculated using genuine summary </div><div>statistics with MAGMA's (v1.08) SNP-Wise Mean algorithm. …"

WEISS Catheter Segmentation in Fluoroscopy Dataset حسب Evangelos Mazomenos (6761597)

"…</p><p dir="ltr">The annotations are provided in the files: “Phantom_label.hdf5”, “T1T2_label.hdf5” and “T3-T6_label.hdf5”. All annotations consist of full-scale (256x256 px) binary masks where background pixels have a “0” value, while a value equal to “1” denotes the catheter pixels.…"

Dataset.csv حسب W (15341518)

"…This process is called one-hot encoding and involves creating a new binary attribute. …"

GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios حسب Yang Lan (20927512)

"…For example, <i>Akodon_ACCESS-CM2_2021–2040_ssp126_avg.tif</i> represents the average projected occurrence probability for <i>Akodon</i> under the SSP1–RCP2.6 scenario and the ACCESS-CM2 global climate model during 2021–2040 over 25 replicate runs. …"

Segmentation, trace denoising and spike extraction framework. حسب Changjia Cai (10647521)

"…(B) Algorithm for fluorescence trace denoising and spike extraction. ①-② Load and high-pass filter the signal in one context region of the movie. …"

Pan-cancer machine learning predictions of MEKi response. حسب John P. Lloyd (10196288)

"…<p><b>(A)</b> Schematic of an example of training-prediction-assessment workflow, depicting the generation of a prediction model (yellow, <i>f</i>_<i>K1</i>) that considers MEKi PD-901 response data from the Klijn 2015 dataset (<i>y</i>_<i>K1</i>, light red) and DNA and RNA features (<i>x</i>_<i>K</i>). …"