The first two components extracted from the feature extraction algorithm. by Choon-Hian Goh (14185601)

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Clustering result generated by k-means clustering algorithm using features extracted from t-SNE. by Choon-Hian Goh (14185601)

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Two cases of failure, in which the red box mean ground truth and the green box mean SGAT tracker. by Jun Wang (5906)

List of methods available in COPS grouped by type of method and the required inputs which correspond to prior biological knowledge that is integrated. Different feature extraction... by Teemu J. Rintala (19333003)

The comparison of performance among different combination of dimensional reduction technique and clustering algorithm. by Choon-Hian Goh (14185601)

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System flow diagram of the study. by Choon-Hian Goh (14185601)

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Characteristic of clustered groups. by Choon-Hian Goh (14185601)

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Case definition of different classification terminologies used. by Rajesh Neupane (19173436)

List of algorithms included in the COPS-package. by Teemu J. Rintala (19333003)

Algorithms and evaluation metrics integrated in the COPS framework. by Teemu J. Rintala (19333003)

Feature extraction by HUNet. by Varun Malik (21212874)

“…For dimensionality reduction, the modified Rime optimization (MRO) algorithm is used to select the best features among multiples. …”

Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling by Di Wang (329735)

“…Our innovative idea is to extract features as the derivatives of the degradation status to comprehensively utilize information from multiple sensors for more effective failure mode recognition and RUL prediction. …”

Examples of cases in which the model failed to classify the parasites correctly, leading to misclassification and a drop in performance. by Hamid Cheraghi (22057476)

CorrEA: A Web Server for Optimizing Correlations between Calculated Energies and Activities in Ligand–Receptor Systems Considering Multiple Binding Site Conformations by Sergio Alfaro (9765813)

Summary of feature-selection algorithms. by Stephen R. Piccolo (8367780)

“…For each algorithm, we provide a brief description of the algorithmic approach; we extracted these descriptions from the libraries that implemented the algorithms. …”

Morphing Attack Potential (MAP). by Roman Kessler (2559916)

Morphing Attack Potential (MAP) of morphs generated by the UBO morpher. by Roman Kessler (2559916)

Assessing Multiple Evidence Streams to Decide on Confidence for Identification of Post-Translational Modifications, within and Across Data Sets by Oscar M. Camacho (15360588)

“…Here, we describe a simple pipeline aiming to maximize the information extracted from these studies by objectively collapsing from peptide–spectrum match to the peptidoform-site level, as well as combining findings from multiple studies while maintaining track of false localization rates. …”

Composite heatmap of ANCOM identified biomarkers. by Gregory M. Gressel (9710239)

The workflow of our proposed KBLTDARD model. by Yingjun Ma (1962334)

“…Based on this, we propose a novel framework, KBLTDARD, to identify potential multiple types of miRNA–disease associations. Firstly, KBLTDARD extracts information from biological networks and high-order association network, and then fuses them to obtain more precise similarities of miRNAs (diseases). …”