Features used for diagnosis classification. nork Pénélope Pelland-Goulet (20597900)

“...All cells left white did not contribute to classification. The characteristic features for the neurotypical control group can be obtained by simply multiplying the feature values shown here by −1....”

Classification report for ensemble technique. nork Ashrafun Zannat (21807747)

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Zero-shot classification tasks. nork Andrew William Alexander (21807525)

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Margin classification ROC curves. nork Luke Moffett (12601633)

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International Classification of Diseases Codes. nork Jie Zhao (49409)

Classification of failure modes for the samples. nork Feng Wang (44414)

Model performance and node classification. nork Kayo Fujimoto (4823469)

Classification of sample by remedies type. nork Shengyan Hu (19748896)

Definition of sub-serostatus classification. nork Ei Kinai (212480)

Dendrogram classification of environmental variables. nork Abduljamiu Olalekan Amao (14836876)

“...<p>Dendrogram classification of environmental variables.</p>...”

Classification of attributes in the studies examined. nork Olivier Touzé (22133040)

“...<p>Classification of attributes in the studies examined.</p>...”

Vaccination Cluster Classification Dataset nork Amin Noroozi (22515185)

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PubMed classification 202505 nork Peter Sjögårde (8653491)

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Classification performance model comparison. nork Line Kruse (22305380)

“...<p>Performance of the five classification models on training set (black lines) and test set (colored bars) evaluated on A) F1 scores and B) ROC-AUC scores....”

Classification level of coordination degree. nork Mingya Zhang (462513)

LLM argument classification results nork Filip Gampel (22074140)

“...<p dir="ltr">The datasets contain the results of prompting various LLM's with the goal of argument classification. For details see https://arxiv.org/abs/2507.08621</p>...”

Classification Report for the ML models. nork Md. Fahim Ul Islam (22470251)

Classification of bearing data labels. nork Hongwei Bai (1447999)

“...To address this issue, this paper proposes an improved parallel one-dimensional convolutional neural network model, which integrates a parallel dual-channel convolutional kernel, a gated recurrent unit, and an attention mechanism. The classification is performed using a global max-pooling layer followed by a Softmax layer. ...”

Testing Set Classification Performance. nork Xie Qiu (13243770)

Comparison of Five Classification Models nork Qiran Wang (22051883)

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