Reconstruction errors of PCA and PCA-L1 with different numbers of projection vectors. by Jing Wang (6206297)

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Average classification accuracies of RSPCA with different values. by Jing Wang (6206297)

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Reconstruction errors of RSMPCA with different values. by Jing Wang (6206297)

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Reconstruction errors of RSSPCA with different and values. by Jing Wang (6206297)

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Average classification accuracies of RSSPCA with different and values. by Jing Wang (6206297)

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An illustration of the adjacency matrix, degree matrix, and Laplacian matrix. by Jing Wang (6206297)

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The impact of the three factors on reconstruction and classification performance. by Jing Wang (6206297)

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Average classification accuracies of PCA-L1 with different numbers of projection vectors. by Jing Wang (6206297)

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Average classification accuracies of RSMPCA with different values. by Jing Wang (6206297)

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The flowchart of the experiments. by Jing Wang (6206297)

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Node coding process. by Jun Zhao (59250)

Overall rankings of optimization algorithms. by Máté Mohácsi (20469514)

Data and code used in this article. by Feng Shen (151470)

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”

Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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LAMBDA: A Large Model Based Data Agent by Sun Maojun (21464946)

“…Specifically, the programmer generates code based on the user’s instructions and domain-specific knowledge, while the inspector debugs the code when necessary. …”

Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... by Gursimran Singh (575288)

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Predicting the Mutagenic Activity of Nitroaromatics Using Conceptual Density Functional Theory Descriptors and Explainable No-Code Machine Learning Approaches by Andrés Halabi Diaz (20798460)

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MATLAB Code and Example Data for Fast and Accurate Phase Unwrapping of Complex Phase Maps by Davood Khodadad (20827802)

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Supporting data for “Construction of Second Harmonic Generation Frequency-resolved Optical Gating” by Hongyuan Zou (16619460)

“…The reconstructed_trace.m is the data that is generated by Matlab code. Through PCGPA algorithm, taking measured_FROG_trace.xlsx as input, reconstructed_trace.m is generated as output of the code. …”