Jordi de La Torre

According to our database, Jordi de La Torre authored at least 13 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Scalable unit harmonization in medical informatics via Bayesian-optimized retrieval and transformer-based re-ranking.

Jordi de La Torre

Int. J. Medical Informatics, 2026

2025

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop.

Jordi de La Torre

CoRR, June, 2025

Scalable Unit Harmonization in Medical Informatics Using Bi-directional Transformers and Bayesian-Optimized BM25 and Sentence Embedding Retrieval.

Jordi de La Torre

CoRR, May, 2025

2024

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans.

Nikolay Burlutskiy, Marija Kekic, Jordi de La Torre, Philipp Plewa, Mehdi Boroumand, Julia Jurkowska, Borjan Venovski, Maria Chiara Biagi, Yeman Brhane Hagos, Roksana Malinowska-Traczyk, Yibo Wang, Jacek Zalewski, Paula Sawczuk, Karlo Pintaric, Fariba Yousefi, Leif Hultin

CoRR, 2024

2023

Modelos Generativos basados en Mecanismos de Difusión.

Jordi de La Torre

CoRR, 2023

Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones.

Jordi de La Torre

CoRR, 2023

Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones.

Jordi de La Torre

CoRR, 2023

Transformadores: Fundamentos teoricos y Aplicaciones.

Jordi de La Torre

CoRR, 2023

2020

A deep learning interpretable classifier for diabetic retinopathy disease grading.

Jordi de La Torre, Aïda Valls, Domenec Puig

Neurocomputing, 2020

2019

Diabetic Retinopathy Classification and Interpretation using Deep Learning Techniques.

Jordi de La Torre

PhD thesis, 2019

2018

Weighted kappa loss function for multi-class classification of ordinal data in deep learning.

Jordi de La Torre, Domenec Puig, Aïda Valls

Pattern Recognit. Lett., 2018

Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier.

Jordi de La Torre, Aïda Valls, Domenec Puig, Pere Romero-Aroca

CoRR, 2018

2016

Diabetic Retinopathy Detection Through Image Analysis Using Deep Convolutional Neural Networks.

Jordi de La Torre, Aïda Valls, Domenec Puig

Proceedings of the Artificial Intelligence Research and Development, 2016