Input features. by Nicola Lazzarini (3528197)

Baseline characteristics of patients in the study cohort. by Nicola Lazzarini (3528197)

Robustness of the optimization process in a real dataset. by Neta Ravid Tannenbaum (2940351)

Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish) by Daniel Pérez Palau (11097348)

“…</li></ul><p dir="ltr"><b>File Structure</b></p><p dir="ltr">The code generates and saves:</p><ul><li>Weights of the trained model (.h5)</li><li>Configured tokenizer</li><li>Training history in CSV</li><li>Requirements file</li></ul><p dir="ltr"><b>Important Notes</b></p><ul><li>The model excludes category 2 during training</li><li>Implements transfer learning from a pre-trained model for binary hate detection</li><li>Includes early stopping callbacks to prevent overfitting</li><li>Uses class weighting to handle category imbalances</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at: Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …”

Image1_RobustTree: An adaptive, robust PCA algorithm for embedded tree structure recovery from single-cell sequencing data.pdf by Ziwei Chen (626412)

<b>Road intersections Data with branch information extracted from OSM</b> & <b>C</b><b>odes to implement the extraction </b>&<b> I</b><b>nstructions on how to </b><b>reproduce each... by Zihao Tang (19794537)

“…</p><h2><b>3. Instructions for codes</b></h2><p dir="ltr">This code repository is organized into eight folders and two files:</p><h3>(1) Folder: <b>candidateIdentify</b></h3><p dir="ltr">This folder contains code related to the identification of candidate junctions or intersections from the input data. …”