Publicaciones (271) Publicaciones de María Amparo Alonso Betanzos

2024

  1. Amparo Alonso Betanzos, catedrática na UDC e presidenta da Asociación da IA: " É imprescindible asegurar que a IA estea ao servizo das persoas " entrevistado/a

    Tempos novos: revista mensual de información para o debate, Núm. 320, pp. 42-49

  2. Simulating the Role of Norms in Processes of Social Innovation: Three Case Studies

    JASSS, Vol. 27, Núm. 1

  3. The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification

    Expert Systems

2023

  1. Data-driven predictive maintenance framework for railway systems

    Intelligent Data Analysis, Vol. 27, Núm. 4, pp. 1087-1102

  2. E2E-FS: An End-to-End Feature Selection Method for Neural Networks

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, Núm. 7, pp. 8311-8323

  3. La inteligencia artificial y la prospectiva

    Atlantic Review of Economics: Revista Atlántica de Economía, Vol. 6, Núm. 1

  4. La inteligencia artificial: reto y oportunidad para una Galicia del siglo XXI

    Anuario Foro Económico de Galicia, Núm. 1, pp. 90-98

2022

  1. Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences

    Electronics (Switzerland), Vol. 11, Núm. 5

  2. Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks

    Proceedings of the Annual Hawaii International Conference on System Sciences

  3. Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning

    Information Sciences, Vol. 607, pp. 1245-1264

  4. Feature Selection: From the Past to the Future

    Learning and Analytics in Intelligent Systems (Springer Nature), pp. 11-34

  5. How Agent-based modeling can help to foster sustainability projects

    Procedia Computer Science

  6. How important is data quality? Best classifiers vs best features

    Neurocomputing, Vol. 470, pp. 365-375

  7. Low-precision feature selection on microarray data: an information theoretic approach

    Medical and Biological Engineering and Computing, Vol. 60, Núm. 5, pp. 1333-1345

  8. Machine learning techniques to predict different levels of hospital care of CoVid-19

    Applied Intelligence, Vol. 52, Núm. 6, pp. 6413-6431

  9. Sustainable Personalisation and Explainability in Dyadic Data Systems

    Procedia Computer Science

2021

  1. Applying machine learning to detect early stages of cardiac remodelling and dysfunction

    European Heart Journal Cardiovascular Imaging, Vol. 22, Núm. 10, pp. 1208-1217

  2. Dealing with heterogeneity in the context of distributed feature selection for classification

    Knowledge and Information Systems, Vol. 63, Núm. 1, pp. 233-276

  3. Editor's Note

    IJIMAI, Vol. 6, Núm. 5, pp. 4-7

  4. Generating a Synthetic Population of Agents Through Decision Trees and Socio Demographic Data

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)