CV HAL - Matthieu Saumard

Publications

Lightweight Machine Learning-Based Optimization of the Transform Module in VVC

Sameh Samir , Matthieu Saumard , Taheni Damak , Mohamed Ali Ben Ayed , Maher Jridi

Digital Signal Processing, 2026, pp.106383. ⟨10.1016/j.dsp.2026.106383⟩

Article dans une revue hal-05683012v1

Deep functional multiple index models with an application to speech emotion recognition

Matthieu Saumard , Abir El Haj , Thibault Napoleon

Array, 2025, 28, pp.100634. ⟨10.1016/j.array.2025.100634⟩

Article dans une revue hal-05403302v1

Functional Data Analysis for Prediction of Employee Presence

Nouhaila Goujili , Matthieu Saumard , Nicolas Cochard , Maher Jridi

IEEE Access, 2025, pp.1-1. ⟨10.1109/ACCESS.2025.3580697⟩

Article dans une revue hal-05120903v1

Performance analysis of MTS on the VVC encoder

Sameh Samir , Taheni Damak , Matthieu Saumard , Mohamed Ali Ben Ayed , Maher Jridi et al.

Signal, Image and Video Processing, 2023, ⟨10.1007/s11760-023-02867-7⟩

Article dans une revue hal-04314744v1

Enhancing Speech Emotions Recognition Using Multivariate Functional Data Analysis

Matthieu Saumard

Big Data and Cognitive Computing, 2023, 7 (3), pp.146. ⟨10.3390/bdcc7030146⟩

Article dans une revue hal-04189098v1

Multi-oriented run length based static and dynamic features fused with Choquet fuzzy integral for human fall detection in videos

Bilal Hadjadji , Matthieu Saumard , Michael Aron

Journal of Visual Communication and Image Representation, 2022, 82, ⟨10.1016/j.jvcir.2021.103375⟩

Article dans une revue hal-03517202v1

Dynamic Functional Principal Components for Testing Causality

Matthieu Saumard , Bilal Hadjadji

Signals, 2021, 2 (2), pp.353-365. ⟨10.3390/signals2020022⟩

Article dans une revue hal-03252918v1

Enhancing Optical Correlation Decision Performance for Face Recognition by Using a Nonparametric Kernel Smoothing Classification

Matthieu Saumard , Michael Aron , Ayman Alfalou , Christian Brosseau , Marwa El Bouz

Sensors, 2019, 19 (23), pp.5092. ⟨10.3390/s19235092⟩

Article dans une revue hal-02696449v1

Improving prediction performance of stellar parameters using functional models

Sylvain Robbiano , Matthieu Saumard , Michel Curé

Journal of Applied Statistics, 2016, 43 (8), pp.1465-1476. ⟨10.1080/02664763.2015.1106448⟩

Article dans une revue hal-02696647v1

Testing the Predictor Effect on a Functional Response

Valentin Patilea , Cesar Sanchez-Sellero , Matthieu Saumard

Journal of the American Statistical Association, 2016, 111 (516), pp.1684-1695. ⟨10.1080/01621459.2015.1110031⟩

Article dans une revue hal-02991023v1

Diving Deeper into VLMs: Physics-Conditioned Prompting and Depth Fusion for Underwater Segmentation

Sirine Nmiri , Matthieu Saumard , Maher Jridi

IEEE 2nd International Conference on AI and Emerging Technology For Sustainable Future, Jul 2026, Catania (IT), Italy

Communication dans un congrès hal-05763850v1

WAV2VEC MEETS VIT: DECODING EMOTIONS IN SPEECH

Matthieu Saumard , Thibault Napoléon

2nd International Conference on Cognitive Computing, Intelligence and Data Science Applications, Jun 2026, Thunder Bay, Canada

Communication dans un congrès hal-05763837v1

Comparison of Deep Learning Methods for Functional Data

Nouhaila Goujili , Matthieu Saumard , Maher Jridi

IWFOS, Jun 2025, Novara, Italy. pp.225-232, ⟨10.1007/978-3-031-92383-8_28⟩

Communication dans un congrès hal-05086818v1

Random Forest Based Fast MTS Algorithm for VVC Encoder

Sameh Samir , Matthieu Saumard , Taheni Damak , Maher Jridi , Mohamed Ali Ben Ayed

LAIS - ICSOC, Dec 2024, Tunis, Tunisia

Communication dans un congrès hal-04767794v1

Optimized VVC Transform Module based on Fast MTS Decision

Sameh Samir , Taheni Damak , Matthieu Saumard , Mohamed Ali Ben Ayed , Maher Jridi

AICCSA 2024, Oct 2024, Sousse, Tunisia

Communication dans un congrès hal-04672442v1

The Impact of Multiple Transform Selection (MTS) on the VVC Encoder performance

Sameh Samir , Taheni Damak , Matthieu Saumard , Mohamed Ali Ben Ayed , Maher Jridi

ORASIS, May 2023, Carqueiranne, France

Communication dans un congrès hal-04111685v1

Nonparametric kernel smoothing classification to enhance optical correlation decision performances

Matthieu Saumard , Michael Aron , Ayman Alfalou , Marwa El Bouz

Pattern Recognition and Tracking XXX, Apr 2019, Baltimore, France. pp.11, ⟨10.1117/12.2518840⟩

Communication dans un congrès hal-02696742v1

Estimation dans un modèle défini par des équations estimantes conditionnelles pour des données fonctionnelles

Matthieu Saumard , Valentin Patilea

42èmes Journées de Statistique, 2010, Marseille, France, France

Communication dans un congrès inria-00494816v1

Quantitative Follow-Up of MOOC Students Using Big Data Techniques

Jean-Pierre Gerval , Matthieu Saumard

Smart Education and e-Learning 2019, pp.19-27, 2019, ⟨10.1007/978-981-13-8260-4_2⟩

Chapitre d'ouvrage hal-02696541v1

Linear causality in the sense of Granger with stationary functional time series

Matthieu Saumard

Functional Statistics and Related Fields, pp.225-231, 2017, ⟨10.1007/978-3-319-55846-2_30⟩

Chapitre d'ouvrage hal-02696601v1

Projection-based nonparametric goodness-of-fit testing with functional covariates

Valentin Patilea , Cesar Sanchez-Sellero , Matthieu Saumard

2012

Pré-publication, Document de travail hal-00708329v1

Nonparametric testing for no-effect with functional responses and functional covariates

Valentin Patilea , Cesar Sanchez-Sellero , Matthieu Saumard

2012

Pré-publication, Document de travail hal-00771261v1

Contribution à l'analyse statistique des données fontionnelles

Matthieu Saumard

Mathématiques générales [math.GM]. INSA de Rennes, 2013. Français. ⟨NNT : 2013ISAR0009⟩

Thèse tel-00881320v1

Matthieu Saumard

Présentation

Publications

Publications

Lightweight Machine Learning-Based Optimization of the Transform Module in VVC

Deep functional multiple index models with an application to speech emotion recognition

Functional Data Analysis for Prediction of Employee Presence

Performance analysis of MTS on the VVC encoder

Enhancing Speech Emotions Recognition Using Multivariate Functional Data Analysis

Multi-oriented run length based static and dynamic features fused with Choquet fuzzy integral for human fall detection in videos

Dynamic Functional Principal Components for Testing Causality

Enhancing Optical Correlation Decision Performance for Face Recognition by Using a Nonparametric Kernel Smoothing Classification

Improving prediction performance of stellar parameters using functional models

Testing the Predictor Effect on a Functional Response

Diving Deeper into VLMs: Physics-Conditioned Prompting and Depth Fusion for Underwater Segmentation

WAV2VEC MEETS VIT: DECODING EMOTIONS IN SPEECH

Comparison of Deep Learning Methods for Functional Data

Random Forest Based Fast MTS Algorithm for VVC Encoder

Optimized VVC Transform Module based on Fast MTS Decision

The Impact of Multiple Transform Selection (MTS) on the VVC Encoder performance

Nonparametric kernel smoothing classification to enhance optical correlation decision performances

Estimation dans un modèle défini par des équations estimantes conditionnelles pour des données fonctionnelles

Quantitative Follow-Up of MOOC Students Using Big Data Techniques

Linear causality in the sense of Granger with stationary functional time series

Projection-based nonparametric goodness-of-fit testing with functional covariates

Nonparametric testing for no-effect with functional responses and functional covariates

Contribution à l'analyse statistique des données fontionnelles