Deep-Learning and HPC

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Mostrant 1 - 6 resultats de 6

2024

Comparative Analysis of Reasoning Capabilities in Foundation Models

IEEE 2nd International Conference on Foundation and Large Language Models (FLLM 2024)

J. de Curtò, and I. de Zarzà
Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge

Findings of the Association for Computational Linguistics

D. Tamayo, A. Gonzalez-Agirre, J. Hernando, and M. Villegas
Large Language Model-Informed X-ray Photoelectron Spectroscopy Data Analysis

Signals

J. de Curtò, I. de Zarzà, G. Roig, and C. T. Calafate

2023

On Neural Networks Redundancy and Diversity for Their Use in Safety-Critical Systems

Computer

A. Brando, I. Serra, E. Mezzetti, F. J. Cazorla, J. Perez-Cerrolaza, and J. Abella
Predicting the evolution of COVID-19 mortality risk: A recurrent neural network approach

Computer Methods and Programs in Biomedicine Update

M. Villegas, A. Gonzalez-Agirre, A. Gutiérrez-Fandiño, J. Armengol-Estapé, C. Pio Carrino, D. Pérez-Fernández, F. Soares, P. Serrano, M. Pedrera, N. García, and A. Valencia

2022

The Holistic Perspective of the INCISIVE Project—Artificial Intelligence in Screening Mammography

Applied Sciences

F. Agulló, S. Auso, B. Alves, C. Barelle, I. Lazic, J L. Berral, P. Bizopoulos, O. Bunduc, I. Chouvarda, D. Dominguez, D. Filos, A. Gutierrez-Torre, I. Hesso, N. Jakovljevic, and et. al.