Whole slide images classification code. حسب Yaëlle Bellahsen-Harrar (22139194)

Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. حسب Daniel Suárez-Barrera (22676654)

Accuracy of classification to individuals using SVM based on S-UMAP reduced data. حسب Anna N. Osiecka (11739336)

Synergizing Machine Learning, Conceptual Density Functional Theory, and Biochemistry: No-Code Explainable Predictive Models for Mutagenicity in Aromatic Amines حسب Andrés Halabi Diaz (20159455)

الموضوعات:

Results of the additional evaluation phase using non-permanent markers to color-code monkeys for identification, measured the time (in seconds) required for correct identification.... حسب Yosuke Numata (21020812)

S-UMAP classification of the <i>classic</i> call to individual remains efficient in spite of signal filtering and attenuation. حسب Anna N. Osiecka (11739336)

S-UMAP classification of the <i>single</i> call to individual remains efficient despite signal filtering and attenuation. حسب Anna N. Osiecka (11739336)

Confusion matrices of deep learning models for EPG waveform classification. The figure presents the confusion matrices for the three DL models: 1DCNN with raw inputs, ResNet with r... حسب Quang Dung Dinh (20995766)

Confusion matrices of classification performance for the Thai and English models. حسب Ratchanont Thippimanporn (22265318)

Confusion matrices of traditional ML models for EPG waveform classification. The figure presents the confusion matrices for LogReg, XGB, and RF models with features crafted from 3-... حسب Quang Dung Dinh (20995766)

Comparison of histological- and response-based classification of neuron identity (VPM or POm). حسب Anton Sumser (21021061)

<b>BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification</b> حسب BRISC Dataset (22559540)

"…</p><h2> Dataset statistics</h2><p><br></p><p dir="ltr">- Total samples: 6,000 (5,000 train / 1,000 test)<br>- Classes: 4 (balanced distribution across train/test)<br>- Planes: Axial / Coronal / Sagittal (balanced representation)<br>- Imaging modality: T1-weighted MRI<br>- Annotation quality: Reviewed and corrected by medical experts</p><h2> Citation</h2><p dir="ltr">If you use BRISC in your work, please cite:</p><p dir="ltr"><code>@article{fateh2025brisc,</code><br><code>title={Brisc: Annotated dataset for brain tumor segmentation and classification with swin-hafnet},</code><br><code>author={Fateh, Amirreza and Rezvani, Yasin and Moayedi, Sara and Rezvani, Sadjad and Fateh, Fatemeh and Fateh, Mansoor and Abolghasemi, Vahid},</code><br><code>journal={arXiv preprint arXiv:2506.14318},</code><br><code>year={2025}</code><br><code>}</code></p><h2> Acknowledgments</h2><p dir="ltr">Thanks to the collaborating radiologists and physicians for expert annotation and review.…"

GAM between the biometric (morphological) shell descriptors (Response) and a. Latitude and b. Longitude. Codes of biometric variables are given in the text (Material and Methods se... حسب Ioan Sîrbu (18475797)

Supporting information file. حسب Cecilia Bergh Fahlén (20727313)

الموضوعات:

The final diagnoses of the 17 false positive diagnoses with corresponding sodium values. حسب Cecilia Bergh Fahlén (20727313)

الموضوعات:

Patient characteristics among the study population (n = 428). حسب Cecilia Bergh Fahlén (20727313)

الموضوعات:

Simple and conditional term effects of climatic predictors on the p-distances between populations, within a db-RDA analysis. p-adj – probabilities adjusted by the false discovery r... حسب Ioan Sîrbu (18475797)

Land Use Classification of The Gambia حسب Alexander Almeroth (21770681)

"…<p dir="ltr">These rasters originate from a Random Forest Classification Algorithm applied in Google Earth Engine and have been manually and automatically corrected for errors. …"

Training and validation accuracy and loss over 100 epochs for deep learning models. The graph illustrates the performance of three ML models (1DCNN, ResNet and 2DCNN) over 100 epoc... حسب Quang Dung Dinh (20995766)

SCodeSearcher حسب Jia Li (14569283)

"…<br><br>- To adjust the weight ranges of negative sample, adjust 'bi' on line 163 of 'utils.py'. <br><br><br><br>## Code Search<br><br><br>The dataset file contains the code retrieval datasets and the code classification datasets. …"