Publicaciones en colaboración con investigadores/as de Universidad del País Vasco/Euskal Herriko Unibertsitatea (66)

2024

  1. A Novel Protocol Using Captive Portals for FIDO2 Network Authentication †

    Applied Sciences (Switzerland), Vol. 14, Núm. 9

  2. From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine

    Health Information Science and Systems, Vol. 12, Núm. 1

  3. MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products

    Journal of Cheminformatics, Vol. 16, Núm. 1

  4. Unraveling druggable cancer-driving proteins and targeted drugs using artificial intelligence and multi-omics analyses

    Scientific Reports, Vol. 14, Núm. 1

2023

  1. Adapting a Captive Portal for Phishing-Resistant Network Authentication Using Security Keys

    2023 JNIC Cybersecurity Conference, JNIC 2023

  2. Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    Information Fusion, Vol. 100

  3. Operating System Fingerprinting Tool Based on Classical Machine Learning Algorithms

    2023 JNIC Cybersecurity Conference, JNIC 2023

2022

  1. Machine Learning‐Based Radon Monitoring System

    Chemosensors, Vol. 10, Núm. 7

  2. Special Issue on Applied Artificial Neural Networks

    Applied Sciences (Switzerland)

2021

  1. An Analysis of the Current Implementations Based on the WebAuthn and FIDO Authentication Standards †

    Engineering Proceedings, Vol. 7, Núm. 1

  2. Applying Artificial Intelligence for Operating System Fingerprinting †

    Engineering Proceedings, Vol. 7, Núm. 1

  3. Lossless compression of industrial time series with direct access

    Computers in Industry, Vol. 132

  4. Molecular docking, SAR analysis and biophysical approaches in the study of the antibacterial activity of ceramides isolated from Cissus incisa

    Bioorganic Chemistry, Vol. 109

  5. Prediction of anti-glioblastoma drug-decorated nanoparticle delivery systems using molecular descriptors and machine learning

    International Journal of Molecular Sciences, Vol. 22, Núm. 21

2020

  1. A multi-objective approach for anti-osteosarcoma cancer agents discovery through drug repurposing

    Pharmaceuticals, Vol. 13, Núm. 11, pp. 1-16

  2. Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Neurocomputing, Vol. 410, pp. 237-270

  3. Gene prioritization through consensus strategy, enrichment methodologies analysis, and networking for osteosarcoma pathogenesis

    International Journal of Molecular Sciences, Vol. 21, Núm. 3

  4. MCDcalc: Markov chain molecular descriptors calculator for medicinal chemistry

    Current Topics in Medicinal Chemistry, Vol. 20, Núm. 4, pp. 305-317

  5. Net-net autoML selection of artificial neural network topology for brain connectome prediction

    Applied Sciences (Switzerland), Vol. 10, Núm. 4

  6. OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine

    Scientific Reports, Vol. 10, Núm. 1