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  • 2023

    Semi-supervised Deep Learning-Driven Anomaly Detection Schemes for Cyber-Attack Detection in Smart Grids

    Dairi, A., Harrou, F., Bouyeddou, B., Senouci, S. M. & Sun, Y., 2023, Power Systems. Springer Science and Business Media Deutschland GmbH, p. 265-295 31 p. (Power Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

    15 Scopus citations

  • Topological Data Analysis for Directed Dependence Networks of Multivariate Time Series Data

    El Yaagoubi, A. & Ombao, H., Jan 1 2023, Research Papers in Statistical Inference for Time Series and Related Models: Essays in Honor of Masanobu Taniguchi. Springer Nature, p. 403-417 15 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

    Open Access
    2 Scopus citations
  • 2022

    A hybrid deep learning method with attention for COVID-19 spread forecasting

    Dairi, A., Harrou, F., Sun, Y. & Khadraoui, S., Apr 2022, Artificial Intelligence Strategies for Analyzing COVID-19 Pneumonia Lung Imaging, Volume 1. IOP Publishing

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2021

    Case studies

    Harrou, F., Sun, Y., Hering, A. S., Madakyaru, M. & Dairi, A., 2021, Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Elsevier, p. 255-303 49 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Conclusion and further research directions

    Harrou, F., Sun, Y., Hering, A. S., Madakyaru, M. & Dairi, A., 2021, Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Elsevier, p. 305-309 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Fault isolation

    Harrou, F., Sun, Y., Hering, A. S., Madakyaru, M. & Dairi, A., 2021, Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Elsevier, p. 71-117 47 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Introduction

    Harrou, F., Sun, Y., Hering, A. S., Madakyaru, M. & Dairi, A., 2021, Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Elsevier, p. 1-17 17 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Lagrangian spatio-temporal nonstationary covariance functions

    Salvaña, M. L. O. & Genton, M. G., Jun 14 2021, Advances in Contemporary Statistics and Econometrics: Festschrift in Honor of Christine Thomas-Agnan. Springer International Publishing AG, p. 427-447 21 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

    3 Scopus citations

  • Linear latent variable regression (LVR)-based process monitoring

    Harrou, F., Sun, Y., Hering, A. S., Madakyaru, M. & Dairi, A., 2021, Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Elsevier, p. 19-70 52 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Multiscale latent variable regression-based process monitoring methods

    Harrou, F., Sun, Y., Hering, A. S., Madakyaru, M. & Dairi, A., 2021, Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Elsevier, p. 155-191 37 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Nonlinear latent variable regression methods

    Harrou, F., Sun, Y., Hering, A. S., Madakyaru, M. & Dairi, A., 2021, Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Elsevier, p. 119-154 36 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Unsupervised deep learning-based process monitoring methods

    Harrou, F., Sun, Y., Hering, A. S., Madakyaru, M. & Dairi, A., 2021, Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Elsevier, p. 193-223 31 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Unsupervised recurrent deep learning scheme for process monitoring

    Harrou, F., Sun, Y., Hering, A. S., Madakyaru, M. & Dairi, A., 2021, Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. Elsevier, p. 225-253 29 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2020

    Forecasting of Photovoltaic Solar Power Production Using LSTM Approach

    Harrou, F., Kadri, F. & Sun, Y., Apr 1 2020, Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems. IntechOpen

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Functional Data Visualization

    Genton, M. G. & Sun, Y., Nov 4 2020, Wiley StatsRef: Statistics Reference Online. Wiley, p. 1-11 11 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2019

    A BAYESIAN MODEL FOR ACTIVATION AND CONNECTIVITY IN TASK-RELATED FMRI DATA

    Yu, Z., Prado, R., Cramer, S. C., Quinlan, E. B. & Ombao, H., Aug 30 2019, Advances in Econometrics. Emerald Publishing Limited, p. 91-132 42 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Spatial Models Using Laplace Approximation Methods

    Gómez-Rubio, V., Bivand, R. S. & Rue, H., May 16 2019, Handbook of Regional Science. Springer Berlin Heidelberg, p. 1-16 16 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2017

    An Improved Wavelet-Based Multivariable Fault Detection Scheme

    Harrou, F., Sun, Y. & Madakyaru, M., Jul 5 2017, Uncertainty Quantification and Model Calibration. IntechOpen

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2013

    Towards Causal Modeling of Human Behavior

    Campo, M., Polychroniou, A., Salamin, H., Filippone, M. & Vinciarelli, A., 2013, Neural Nets and Surroundings 22nd Italian Workshop on Neural Nets,WIRN 2012, May 17-19, Vietri sul Mare, Salerno, Italy. Bruno, A., Simone, B., Anna, E. & Francesco Carlo, M. (eds.). p. 337-344 8 p. (Smart Innovation, Systems and Technologies; vol. 19).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • 2011

    A Closer Look at Two Approaches for Analysis and Classification of Nonstationary Time Series

    Ombao, H. & Prado, R., Jan 1 2011, Statistical Methods for Modeling Human Dynamics: An Interdisciplinary Dialogue. Taylor and Francis - Balkema, p. 155-157 3 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Ovarian hyperstimulation syndrome and prophylactic human embryo cryopreservation: Analysis of reproductive outcome following thawed embryo transfer

    Sills, E. S., McLoughlin, L. J., Genton, M. G., Walsh, D. J., Coull, G. D. & Walsh, A. P. H., Jan 1 2011, Current Research in Embryology. Apple Academic Press, p. 66-75 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • 2004

    An astronomical distance determination method using regression with skew-normal errors

    Eyer, L. & Genton, M. G., Jan 1 2004, Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality. CRC Press, p. 309-319 11 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

    1 Scopus citations

  • Linear mixed effects models with flexible generalized skew-elliptical random effects

    Ma, Y., Genton, M. G. & Davidian, M., Jan 1 2004, Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality. CRC Press, p. 339-358 20 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

    28 Scopus citations

  • Shape representation with flexible skew-symmetric distributions

    Baloch, S. H., Krim, H. & Genton, M. G., Jan 1 2004, Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality. CRC Press, p. 291-308 18 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Skew-symmetric and generalized skew-elliptical distributions

    Genton, M. G., Jan 1 2004, Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality. CRC Press, p. 81-100 20 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

    14 Scopus citations

  • Time series analysis with a skewed kalman filter

    Naveau, P., Genton, M. G. & Ammann, C., Jan 1 2004, Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality. CRC Press, p. 259-278 20 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

    2 Scopus citations