Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …”

Elements: A Sustainable, Resource-Efficient Cyberinfrastructure for Notebook Interactive ML Training Workloads by Yue Cheng (22087328)

List of the time used by each algorithm. by JiaMing Gong (20427837)

“…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …”

Sanitized databases using MLHProtector algorithm. by Loan T. T. Nguyen (20660789)

“…<div><p>Privacy is as a critical issue in the age of data. Organizations and corporations who publicly share their data always have a major concern that their sensitive information may be leaked or extracted by rivals or attackers using data miners. …”

Comparative Internal and External AUC Performance Across Single-Site Models. by Ioana Duta (18462981)

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Performance of incremental models. by Ioana Duta (18462981)

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Performance of LOSO models. by Ioana Duta (18462981)

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Dataset breakdown. by Ioana Duta (18462981)

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Median and IQR of the model AUC values across each study site for internal and external validation. by Ioana Duta (18462981)

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Variation of model weights between sites. by Ioana Duta (18462981)

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Effect of changing thresholds on accuracy. by Ioana Duta (18462981)

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Histogram showing propensity scores as calculated from the processed data, coloured by whether there was a diagnosis of epilepsy (blue) or not (red). by Ioana Duta (18462981)

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Covariate values per site. by Ioana Duta (18462981)

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ML algorithms used in this study. by Toheeb Salahudeen (21368040)

Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

Data augmentation is applied both geometrically and in terms of intensity. Geometrically, the images are mirrored, flipped, rotated, and randomly cropped. For intensity augmentatio... by Yide Di (20969124)

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) by Brian Bockelman (5128082)

Data Sheet 1_Human vs. algorithmic auditors: the impact of entity type and ambiguity on human dishonesty.pdf by Marius Protte (22315138)

“…This is surprising given the growing implementation of algorithmic systems in institutions, particularly in tax enforcement and financial regulation, to help monitor and identify misreports, or in online labor platforms widely implementing algorithmic control to ensure that workers deliver high service quality. …”