Fig 1 - by Jakub Stoklosa (3315042)

Generalized Tensor Decomposition With Features on Multiple Modes by Jiaxin Hu (1327875)

Segmentation, trace denoising and spike extraction framework. by Changjia Cai (10647521)

Summary of LITNET-2020 dataset. by Asmaa Ahmed Awad (16726315)

SHAP analysis for LITNET-2020 dataset. by Asmaa Ahmed Awad (16726315)

Comparison of intrusion detection systems. by Asmaa Ahmed Awad (16726315)

Parameter setting for CBOA and PSO. by Asmaa Ahmed Awad (16726315)

NSL-KDD dataset description. by Asmaa Ahmed Awad (16726315)

The architecture of LSTM cell. by Asmaa Ahmed Awad (16726315)

The architecture of ILSTM. by Asmaa Ahmed Awad (16726315)

Parameter setting for LSTM. by Asmaa Ahmed Awad (16726315)

LITNET-2020 data splitting approach. by Asmaa Ahmed Awad (16726315)

Transformation of symbolic features in NSL-KDD. by Asmaa Ahmed Awad (16726315)

UK Biobank data wrangling statistics and results. by Simeone Marino (81051)

MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

“…This paper presents a quantum computing path for Transformation-to-Sampling-to-Verification of geospatial optimization problems, adaptable to the controlled qubit scale and coherence constraints under current NISQ conditions. …”

Processed dataset to train and test the WGAN-GP_IMOA_DA_Ensemble model by Ramya Chinnasamy (21633527)

Testing results for classifying AD, MCI and NC. by Nicodemus Songose Awarayi (18414494)

Summary of existing CNN models. by Nicodemus Songose Awarayi (18414494)

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). …”

Bayesian sequential design for sensitivity experiments with hybrid responses by Yuxia Liu (1779592)