Dr. Francesc Serratosa.    List of Master Theses

francesc.serratosa@urv.cat

https://webs-deim.urv.cat/~francesc.serratosa/

 

42. Arturo Rubio: Predicción de la afinidad de unión mediante redes neuronales de grafos, (In Spanish) 2026

41. Sonia Alfonso Rivero: Expansión de una base de datos mediante generación de grafos moleculares para la predicción de la afinidad de unión a la MPro del SARS-CoV-2, (End of degree project, in Spanish) 2026

41. Rezhin Arif: Optimized Machine Learning Classification of Thyroid Status Using TSH Laboratory Data from Sulaymaniyah City: Performance and Gender-Based Analysis, 2026

40. Marc Fernández Esteba: Evaluación comparativa de GNNs geométricas para la predicción de afinidad de unión a MPro del SARS-CoV-2, (In Spanish) 2026

39. Manuel Rafael Bueno González: A Comparative Study of Metrics to Evaluate Explainers of Graph Neural Networks Applied to Compound Binding Affinity Classification, 2026

38. Ivan Latorre: Binding affinity prediction applied to SARS-CoV-2 Mpro inhibitors using SS-GNN, 2026

37. German Galià Beltran: Master thesis: Binding affinity prediction applied to SARS-CoV-2 Mpro protein inhibitors based on DCML and PLANET architectures, 2026

36. Alexandre Bonavila Alabernia: Binding Affinity Prediction Applied to SARS-CoV-2 Mpro Protein Inhibitors Using DEAttentionDTA and CAPLA, 2026

35. Aina Mestre Mas: Disseny i optimització de xarxes neuronals convolucionals per a la classificació d’imatges derivades d’espectres de H-RMN en estudis de metabolòmica, (End of degree project, in Catalan) 2026

34. Unai Mendez: Generative Diffusion Models on Graphs for generating new drugs with high target binding affinity to SARS- CoV-2 Mpro protein, 2025

33. Cristina Oancea: Drugs with high target binding affinity to SARS-CoV-2 Mpro protein. A generative solution, 2025

32. Kuldeep Parade: A Novel Real-Time Editor for Protein-Ligand Binding Affinity Prediction Using Structural Comparison, 2025

31. Sarim Khan: Deep Learning methods to predict the pIC50 of SARS-CoV-2 Mpro protein using several drug compounds, 2025

30. Youssef Ezz Eldeen Ezzat: Prediction of drug–protein binding affinity using existing graph convolutional neural network models on URV In-house dataset, 2024

29. Hany Faltaos: Predicting Protein-Ligand Binding Affinity Using Graph Neural Networks, 2024

28. Natzaret Gálvez Rísquez: GraphDTA for predicting drug–target binding affinity, 2024

27. Daniel-Markus Koeckerbauer: Recognising people by means of clothing or other non-invasive factors, 2024

26. Hamza Abbas: Fish Movement Detection for Fish Courtship Analysis, 2024

25. Nil Munté: Structural NanoFingerprint generation, 2023

24. Kevin Huillca: ATENA: A website server for nanocompound toxicity prediction based on NanoFingerprints, 2023

23. Rodrigo Villatoro:  Estimating flights prices using Graph Neural Networks, 2022

22. Mohammed Hassan: Video segmentation for cardiac beat-to-beat detection, 2022

21. Nadir Shakhshir: Engineering drawing validation based on graph convolutional networks, 2021

20. Maria González González: Improving the operational security in PBBs by adding biometric control, 2020

19. Alejandro Horrillo Guzman:  Disseño de un robot para análisis y explotación de entornos no aptos para humanos, (in Spanish) 2019

18. Victor Nacher Castellet:  Human authentication through signature recognition, 2018

17. Rodrigo Jimenez Gasco:  Signature Recognition, (in Spanish) 2018

16. Axel Picón Magdalena:  Signature Recognition using Android devices, (in Catalan) 2017

15. Carlos García Hernandez:  Active and Interactive Graph Matching, 2017

14. Gaetano Manzo:  Online Human Assisted and Cooperative Pose Estimation of 2D-cameras, 2016

13. Abu Yasin: Geo-localisation of an autonomous robot through the information taken from its camera, 2015

12. Victoria Amado: Subimage Registration based on Candidate Selection and Multiple Correspondences, 2014

11. Carlos Moreno: Partial Palmprint Identification based on Hough Transform and Multiple Alignment, 2013

10. Pau Poquet: Tyre Print Identification through Registration Techniques and Attributed Graph, 2013.

9. Xavier Cortés: Graph Indexing and Retrieval based on Graph Prototypes, 2012.

8. Abmnurulafser Talukder: Face characterisation based on Gabor filters, Bayes Rule and Adaboost, 2011.

7. Raül Arlández: Attributed Graph Matching for Planar Graphs, 2010.

6. Jordi Alsina: Motor Rehabilitation for People with Cognitive Impairments: The Case of the Wii Balance, 2010.

5. Enric Vidiella: Graph indexing based on Median Graphs, 2010.

4. Gerard Sanromà: Modelling Shapes with Intermittently Present Landmarks, 2009.

3. Eduard del Rey: A general framework for Gesture Recognition in Real-Time Video Sequences, 2008.

2. José Luís Santacruz: Distances and algorithms between histograms: a special framework for multidimensional and sparse histograms, 2008.

1. Nicolás Amézquita: A general framework for tracking objects in Video Sequences, 2008.