Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons حسب Chengchun Shi (4333495)

"…Extensive numerical experiments are conducted to back up our theoretical findings. A <math><mrow><mi>Python</mi></mrow></math> implementation of our proposed method is available at <a href="https://github.com/leyuanheart/SEAL" target="_blank">https://github.com/leyuanheart/SEAL</a>. …"

Bayesian Changepoint Detection via Logistic Regression and the Topological Analysis of Image Series حسب Andrew M. Thomas (712104)

"…The method also successfully recovers the location and nature of changes in more traditional changepoint tasks. An implementation of our method is available in the Python package bclr.…"

Combining multimorbidity clustering with limited demographic information enables high-precision outcome predictions حسب Fabio Ferreira (18983126)

"…<p dir="ltr">Python implementation of the Digital Comorbidity Fingerprint (DCF) model that was used to identify multimorbidity clusters using the UK biobank data.…"

Proposed Methods for Classifying StackOverflow Posts Based on Difficulty حسب Maliha Noushin Raida (12512233)

"…Each feature considered is a part of certain feature sets, e.g. A-priori feature set, Pre-hoc set and Post-hoc set.…"

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event حسب Thomas Clemens Carmine (19756929)

"…<br><br><b>Missing-Data Handling & Imputation:</b></p><p dir="ltr">The following sequential steps were applied to create a complete and consistent daily time series suitable for analysis (presented in the Imputed_AP_Data_Zurich_2010-25 sheet), particularly addressing the absence of routine PM₂.₅ measurements prior to January 2016. The full implementation is detailed in the accompanying Python script (Imputation_Air_Pollutants_NABEL.py). …"

Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish) حسب 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). …"