Publicaciones en colaboración con investigadores/as de Universidad Politécnica de Madrid (20)

2023

  1. Applying Inter-Rater Reliability and Agreement in collaborative Grounded Theory studies in software engineering

    Journal of Systems and Software, Vol. 195

  2. Data Augmentation techniques in time series domain: a survey and taxonomy

    Neural Computing and Applications, Vol. 35, Núm. 14, pp. 10123-10145

  3. Deep variational models for collaborative filtering-based recommender systems

    Neural Computing and Applications, Vol. 35, Núm. 10, pp. 7817-7831

  4. Hybrid machine learning methods for risk assessment in gender-based crime

    Knowledge-Based Systems, Vol. 260

  5. Reliability in software engineering qualitative research through Inter-Coder Agreement

    Journal of Systems and Software, Vol. 202

2022

  1. Chlorophyll soft-sensor based on machine learning models for algal bloom predictions

    Scientific Reports, Vol. 12, Núm. 1

  2. Deep learning approach to obtain collaborative filtering neighborhoods

    Neural Computing and Applications, Vol. 34, Núm. 4, pp. 2939-2951

  3. DevOps Research-Based Teaching Using Qualitative Research and Inter-Coder Agreement

    IEEE Transactions on Software Engineering, Vol. 48, Núm. 9, pp. 3378-3393

  4. DevOps Team Structures: Characterization and Implications

    IEEE Transactions on Software Engineering, Vol. 48, Núm. 10, pp. 3716-3736

  5. Dirichlet Matrix Factorization: A Reliable Classification-Based Recommender System

    Applied Sciences (Switzerland), Vol. 12, Núm. 3

  6. Edge computing: A grounded theory study

    Computing, Vol. 104, Núm. 12, pp. 2711-2747

  7. Improving the quality of generative models through Smirnov transformation

    Information Sciences, Vol. 609, pp. 1539-1566

  8. Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities

    IJIMAI, Vol. 7, Núm. 4, pp. 18-26

  9. Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks

    Scientific Reports, Vol. 12, Núm. 1

2021

  1. Deep learning feature selection to unhide demographic recommender systems factors

    Neural Computing and Applications, Vol. 33, Núm. 12, pp. 7291-7308

  2. Deepfair: Deep learning for improving fairness in recommender systems

    IJIMAI, Vol. 6, Núm. 6, pp. 86-94

  3. Providing reliability in recommender systems through Bernoulli Matrix Factorization

    Information Sciences, Vol. 553, pp. 110-128

  4. Why are many businesses instilling a DevOps culture into their organization?

    Empirical Software Engineering, Vol. 26, Núm. 2

2020

  1. A lax monoidal topological quantum field theory for representation varieties

    Bulletin des Sciences Mathematiques, Vol. 161

  2. Virtual classes of parabolic SL2(C)-character varieties

    Advances in Mathematics, Vol. 368