Les équipes

Mathématiques Appliquées et Informatique

2 axes thématiques :
  • Axe OSPL (Optimisation des systèmes de Production et de Logistique)
  • Axe Outils pour l'analyse de la vulnérabilité

Dernières publications

Publications et travaux de l'équipe

2018

Abdallah, N., Chauvet P., Hajjar A E S. et Daya B., "Optimized Brain Computer Interface System for Unspoken Speech Recognition: Role of Wernicke Area". ICBCIB 2018 : 20th International Conference on Brain-Computer Interfaces in Biomedicine. 26/03/2018World Academy of Science, Engineering and Technology, 2018. World Academy of Science, Engineering and Technology International Journal of Biomedical and Biological Engineering
Barrick, A., Marion J-M., Perrein-Ettajani H., Châtel A. et Mouneyrac C., "Baseline levels of biochemical biomarkers in the endobenthic ragworm Hediste diversicolor as useful tools in biological monitoring of estuaries under anthropogenic pressure". Marine Pollution Bulletin. 2018. Vol. 129 p. 81–85
Froger, A., Gendreau M., Mendoza J E., Pinson E. et Rousseau L-M., Solving a wind turbine maintenance scheduling problem. 2018. Vol. 21 (1) p. 53 - 76
Froger, A., Gendreau M., Mendoza J E., Pinson E. et Rousseau L-M., "Solving a wind turbine maintenance scheduling problem". Journal of Scheduling. 2018. Vol. 21 n°1 p. 53–76
Hajjar, Y. Al, Hajjar A E S., Daya B. et Chauvet P., "Determinant characteristics in EEG signal based on bursts amplitude segmentation for predicting pathological outcomes of a premature newborn, with validation using ANN". Analog Integrated Circuits and Signal Processing. 2018.
Jomaa, M. El Sayed H., Van Bogaert P., Jrad N., Kadish N.E.., Japaridze N.., Siniatchkin M.., Colominas M. A., et al., "Multivariate improved weighted multi-scale permutation entropy and its application on EEG data". Biomedical Signal Processing and Control. 2018.
Jomaa, M E S H., Van Bogaert P., Jrad N., Colominas M A. et Humeau-Heurtier A., "A new approach to sample entropy of multi-channel signals: application to EEG signals". EUSIPCO 2018. 26th European Signal Processing Conference. 03-07/09/2018, Rome, 2018
Jrad, N., Schang D., Chauvet P., Tich S. Nguyen The, Daya B. et Gibaud M., "Automatic Detector of Abnormal EEG for Preterm Infants". Internet of Things (IoT) Technologies for HealthCare. 24 octobre 2017, Cham. Springer International Publishing, 2018, p. 82–87

2017

Abdallah, N., Daya B., Khawandi S.. et Chauvet P., "Electroencephalographic based brain computer interface for unspoken speech". 2017 Sensors Networks Smart and Emerging Technologies (SENSET). 12/09/2017, 2017, p. 1 - 4
Abdallah, N., Khawandi S.., Daya B. et Chauvet P., "A survey of methods for the construction of a Brain Computer Interface". 2017 Sensors Networks Smart and Emerging Technologies (SENSET). 12/09/2017, 2017, p. 1 - 4
Colominas, M A., Jomaa M E S H., Jrad N., Humeau-Heurtier A. et Van Bogaert P., "Time-varying time-frequency complexity measures for epileptic EEG data analysis". THE DESIRE PROJECT - 4th Annual Meeting. 10/2017, La Valette, Malte, 2017
Colominas, M A., Jomaa M E S H., Jrad N., Humeau-Heurtier A. et Van Bogaert P., "Time-varying Time-Frequency Complexity Measures for Epileptic EEG Data Analysis". IEEE Transactions on Biomedical Engineering. 2017.
Hajjar, Y., Hajjar A., Daya B. et Chauvet P., "Intelligent Models to Predict the Prognosis of Premature Neonates According to Their EEG Signals". International Journal of Biomedical and Clinical Engineering. 2017. Vol. 6 p. 57 - 66
Hamadeh, N., Karouni A., Daya B. et Chauvet P., "Using correlative data analysis to develop weather index that estimates the risk of forest fires in Lebanon & Mediterranean: Assessment versus prevalent meteorological indices". Case Studies in Fire Safety. 2017. Vol. 7 p. 8 - 22
Jrad, N., Kachenoura A., Merlet I., Bartolomei F., Nica A., Biraben A. et Wendling F., "Automatic Detection and Classification of High-Frequency Oscillations in Depth-EEG Signals". IEEE Transactions on Biomedical Engineering. 2017. Vol. 64 n°9 p. 2230–2240
Jrad, N., Schang D., Chauvet P., Daya B. et Gibaud M., "Automatic Detector of Abnormal EEG for Preterm Infants". International Conference on IoT Technologies for HealthCare. 09/2017, Angers, France. Springer, 2017
Jrad, N., Kachenoura A., Nica A., Merlet I. et Wendling F., "A Page-Hinkley based method for HFOs detection in epileptic depth-EEG". 25th European Signal Processing Conference (EUSIPCO), 2017 . , Kos, Greece. IEEE, 2017

2016

Ahmedou, A., Marion J-M. et Pumo B., "Generalized linear models with functional predictors and their derivatives". Journal of Multivariate Analysis. 2016. Vol. 146 p. 313-324
Barrick, A., Châtel A., Marion J-M., Perrein-Ettajani H., Bruneau M. et Mouneyrac C., "A novel methodology for the determination of biomarker baseline levels in the marine polychaete Hediste diversicolor". Marine Pollution Bulletin, Marine Pollution Bulletin. 2016. Vol. 108 p. 275–280
Froger, A., Gendreau M., Mendoza J E., Pinson E. et Rousseau L-M., "Maintenance scheduling in the electricity industry: A literature review". European Journal of Operational Research. 2016. Vol. 251 p. 695–706
Hamadeh, N., Karouni A., Daya B. et Chauvet P., "Comparative Study of Different Data Mining Techniques in Predicting Forest Fire in Lebanon and Mediterranean". Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. 2016, London, UK. Springer International Publishing, 2016. 15, p. 747 - 762
Nattaf, M., Artigues C., Lopez P. et Rivreau D., "Energetic reasoning and mixed-integer linear programming for scheduling with a continuous resource and linear efficiency functions". OR Spectrum. 2016. Vol. 38 p. 459-492
Zendrera, N., Dubreil-Frémont V., Marion J-M. et Bihan-Poudec A., "D’où viennent les données ? Une lacune paradoxale en éducation statistique". Communication aux 48es journées de la Société Française de Statistique. , Montpellier, 2016
Publications précédentes
Nombre de publications sur l'intervalle 23