Publicacións (74) Publicacións de Víctor Manuel Carneiro Díaz

2024

  1. Semantic Hierarchical Classification Applied to Anomaly Detection Using System Logs with a BERT Model

    Applied Sciences (Switzerland), Vol. 14, Núm. 13

2023

  1. Application of Machine Learning Algorithms for the Validation of a New CoAP-IoT Anomaly Detection Dataset

    Applied Sciences (Switzerland), Vol. 13, Núm. 7

2022

  1. Methodology for Identification and Classifying of Cybercrime on Tor Network through the Use of Cryptocurrencies Based on Web Textual Contents

    Computacion y Sistemas, Vol. 26, Núm. 1, pp. 347-356

2021

  1. Dataset anotado para detección de anomalías en un CPD con sensores IoT

    JITEL 2021 Libro de Actas: XV Jornadas de Ingeniería Telemática, A Coruña 2021

  2. Detección temprana de cyberbullying en redes sociales

    JITEL 2021 Libro de Actas: XV Jornadas de Ingeniería Telemática, A Coruña 2021

  3. Early detection of cyberbullying on social media networks

    Future Generation Computer Systems, Vol. 118, pp. 219-229

  4. IoT dataset validation using machine learning techniques for traffic anomaly detection

    Electronics (Switzerland), Vol. 10, Núm. 22

  5. JITEL 2021 Libro de Actas: XV Jornadas de Ingeniería Telemática, A Coruña 2021 ed. lit.

    Universidade da Coruña

2020

  1. A Content-Based Approach to Profile Expansion

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 28, Núm. 6, pp. 981-1002

  2. Annotated dataset for anomaly detection in a data center with iot sensors

    Sensors (Switzerland), Vol. 20, Núm. 13, pp. 1-23

  3. HOPE (High Order Profile Expansion) for the new user problem on recommender systems

    CEUR Workshop Proceedings

  4. Probabilistic Object Detection: Definition and Evaluation

    2020 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV)

2019

  1. Anomaly Detection in IoT:: Methods, Techniques and Tools

    XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September

  2. Bayesian Generative Active Deep Learning

    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97

  3. Early Intrusion Detection for OS Scan Attacks

    2019 IEEE 18th International Symposium on Network Computing and Applications, NCA 2019

  4. Early detection of depression: Social network analysis and random forest techniques

    Journal of Medical Internet Research, Vol. 21, Núm. 6

  5. High Order Profile Expansion to tackle the new user problem on recommender systems

    PLoS ONE, Vol. 14, Núm. 11

  6. Metrics and techniques for early detection in communication networks

    Iberian Conference on Information Systems and Technologies, CISTI

  7. Metrics and techniques for early detection in communication networks

    2019 14TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)

2018

  1. A Practical Application of a Dataset Analysis in an Intrusion Detection System

    2018 IEEE 17TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA)