Gröbner Bases, Invariant Theory and Equivariant Dynamics. - Karin Gattermann; Frédéric Guyard (J. Symb. Comput., 1999)

Detection and Comparison of RTP and Skype Traffic and Performance. - Jean-Laurent Costeux; Frédéric Guyard; Anne-Marie Bustos (GLOBECOM, 2006)

Towards real-time anomalies monitoring for QoE indicators. - Frédéric Guyard; Sergio Beker (Ann. des Télécommunications, 2010)

Back to normal? Impact of temporally increasing network disturbances on QoE. - Junaid Shaikh; Markus Fiedler; Pangkaj Chandra Paul; Sebastian Egger; Frédéric Guyard (GLOBECOM Workshops, 2013)

Meta-Modeling QoE. - Martín Varela 001; Lea Skorin-Kapov; Frédéric Guyard; Markus Fiedler (Prax. Inf.verarb. Kommun., 2014)

Learning sparse deep neural networks using efficient structured projections on convex constraints for green AI. - Michel Barlaud; Frédéric Guyard (ICPR, 2020)

USAD: UnSupervised Anomaly Detection on Multivariate Time Series. - Julien Audibert; Pietro Michiardi; Frédéric Guyard; Sébastien Marti; Maria A. Zuluaga (KDD, 2020)

From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information. - Julien Audibert; Sébastien Marti; Frédéric Guyard; Maria A. Zuluaga (AALTD@ECML/PKDD, 2021)

Learning a Sparse Generative Non-Parametric Supervised Autoencoder. - Michel Barlaud; Frédéric Guyard (ICASSP, 2021)

Semi-supervised classification using a supervised autoencoder for biomedical applications. - Cyprien Gille; Frédéric Guyard; Michel Barlaud (CoRR, 2022)

Do deep neural networks contribute to multivariate time series anomaly detection? - Julien Audibert; Pietro Michiardi; Frédéric Guyard; Sébastien Marti; Maria A. Zuluaga (Pattern Recognit., 2022)

Learning Sparse auto-Encoders for Green AI image coding. - Cyprien Gille; Frédéric Guyard; Marc Antonini; Michel Barlaud (ICASSP, 2023)

A New Semi-Supervised Classification Method Using a Supervised Autoencoder for Biomedical Applications. - Cyprien Gille; Frédéric Guyard; Michel Barlaud (ICASSP, 2023)

Signal quality detection in mobile network based on synthetic vehicle location data generation using generative adversial neural networks. - Sara Kassan; Bechir Mnakri; Thierry Nagellen; Frédéric Guyard; Tamara Tosic (IWCMC, 2024)

Frugal AI: Introduction, Concepts, Development and Open Questions. - Ludovic Arga; François Bélorgey; Arnaud Braud; Romain Carbou; Nathalie Charbonniaud; Catherine Colomes; Lionel Delphin-Poulat; David Excoffier; Christel Fauché; Thomas George; Frédéric Guyard; Thomas Hassan; et al. (SIGKDD Explor., 2025)