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

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”

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

Example depiction of the autoML process. by 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. by Dhananjay Kimothi (8575089)

<i>hi</i>PRS algorithm process flow. by 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. by Antonio Fernando Lavareda Jacob Junior (17816730)

Bayesian sequential design for sensitivity experiments with hybrid responses by Yuxia Liu (1779592)

“…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”

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

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

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

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

Data generation process. by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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. …”