Laboratoires

LARIS : Laboratoire Angevin de Recherche en Ingénierie des Systèmes

Laboratoire Angevin de Recherche en Ingénierie des Systèmes

Fusion des laboratoires LISA & LASQUO.

Tutelle(s): Université d'Angers

Adresse: Université d'Angers – ISTIA, 62, Avenue Notre Dame du Lac, 49000 Angers

Pays: France

Année de création: 2014

Site du laboratoire
Numéro national:
201420656W

Publications associées

2019

Hasan, H. Al, Guéret C., Lemoine D. et Rivreau D., "Surgical case scheduling with sterilising activity constraints". International Journal of Production Research. 2019. Vol. 57 n°10 p. 2984-3002

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 EngineeringIcône PDF fichier-96-2765-946-.pdf (1.7 Mo)
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
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
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
Kassem, A.. K., HAJJAR A.. E. Salam A., Daya B.. et Chauvet P.., "A Proposed Methodology for Cyber Security Mechanism According to the Most Popular Detected Attacks for University Web Application". 2018 Second World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4). Oct, 2018, p. 215-219

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". IEEE Transactions on Biomedical Engineering. 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". THE DESIRE PROJECT - 4th Annual Meeting. 10/2017, La Valette, Malte, 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

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

2015

Abraham, P., Feuilloy M., Mezdad T., Chauvet P. et Schang D., "Predictors of Walking impairment in Patients With Claudication Using Linear & Non-Linear Models". The FASEB Journal. 2015. Vol. 29 n°1\_supplement p. 1055.1
Hajjar, Y.. A., Hajjar A E S., Daya B. et Chauvet P., "Predication of premature neonates prognosis based on their electroencephalogram using artificial neural network". 2015 SAI Intelligent Systems Conference (IntelliSys). 10/11/2015, London, UK, 2015, p. 527 - 531
Jrad, N., Kachenoura A., Merlet I., Nica A., Bénar C. G. et Wendling F., "Classification of high frequency oscillations in epileptic intracerebral EEG". 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 . 2015, Milan, Italy. IEEE, 2015, p. 574–577
Jrad, N., Kachenoura A., Merlet I. et Wendling F., "Gabor transform for interictal high frequency oscillations classification". Advances in Biomedical Engineering (ICABME), 2015 International Conference on. 09/2015, Beirut, Lebanon. IEEE, 2015

2014

Chauvet, P., Nguyen The Tich S., Schang D. et Clément A., "Evaluation of Automatic Feature Detection Algorithms in EEG". Computers in Biology and Medicine. 2014. Vol. 54 n°C p. 61–71
Collette, M., Chauvet P. et Leftheriotis G., "A 1d-MODEL for the simulation of the arterial wall displacement". Artery Research. 2014. Vol. 8 p. 161
Flamary, R., Jrad N., Phlypo R., Congedo M. et Rakotomamonjy A., "Mixed-norm regularization for brain decoding". Computational and mathematical methods in medicine. 2014. Vol. 2014
Karouni, A., Daya B. et Chauvet P., "Applying decision tree algorithm and neural networks to predict forest fires in Lebanon". Journal of Theoretical and Applied Information Technology. 2014. Vol. 63 p. 282-291
Karouni, A., Daya B., Bahlak S. et Chauvet P., "A Simplified Mathematical Model for Fire Spread Predictions in Wildland Fires Combining between the Models of Anderson and Rothermel". International Journal of Modeling and Optimization. 2014. Vol. 4 p. 197-200
Marion, J-M. et Bihan-Poudec A., "Student’s social representation of statistics in humanities and social sciences". 9th International Conference on Teaching Statistics. 13-18 July, Flagstaff Arizona,USA, 2014
Rivreau, D., Montoya C., Bellenguez-Morineau O. et Pinson E., "Génération de coupe pour un problème de gestion de projet multi-compétence". 15ème congrès de la société française de recherche opérationnelle et d’aide à la décision (ROADeF’14). , Bordeaux, 2014

2013

Artigues, C., Lopez P. et Rivreau D., "Raisonnement énergétique et inégalités valides pour un probleme d’ordonnancement sous contraintes d’énergie". 14ème congrès de la société française de recherche opérationnelle et d’aide à la décision (ROADeF’13). , Troyes, 2013
Guéret, C., Pinson E. et Rivreau D., "Combinatorial optimization in production and logistics systems". RAIRO: Operations Research. 2013. Vol. 47 p. 395-397
Rivreau, D., Contributions pour la résolution exacte de problèmes d’ordonnancement. HDR, Angers : Université d’Angers, 2013. 218 p

2012

Artigues, C., Lopez P. et Rivreau D., "Integer programming and constraint propagation for scheduling under energy constraints". 25th European Conference on Operational Research (EURO XXV). , Vilnius, 2012
Guerreschi, E., Bricq S., Leftheriotis G., Chauvet P., Haussy B., L'Huillier J.. P. et Humeau-Heurtier A., "A new method to determine arterial distensibility in small arteries". 2012 20th Mediterranean Conference on Control Automation (MED). 07/2012, 2012
Jrad, N. et Congedo M., "Identification of spatial and temporal features of EEG". Neurocomputing. 2012. Vol. 90 p. 66–71
Montoya, C., Bellenguez-Morineau O., Pinson E. et Rivreau D., "Cut Generation for the Multi-Skill Project Scheduling Problem". Workshop CPAIOR 2012. 2012, Nantes, 2012
Montoya, C., Bellenguez-Morineau O., Pinson E. et Rivreau D., "Integrated column generation and Lagrangian relaxation approach for the multi-skill project scheduling problem". 13th International Conference on Project Management and Scheduling. 2012, Leuven, 2012, p. 235-238
Montoya, C., Bellenguez-Morineau O. et Rivreau D., "Recovering Beam Search Approach for the Multi-Skill Project Scheduling Problem". 4th International Conference on Metaheuristics and Nature Inspired Computing. , Port El-Kantaoui, 2012

2011

Jrad, N., Congedo M., Phlypo R., Rousseau S., Flamary R., Yger F. et Rakotomamonjy A., "sw-SVM: sensor weighting support vector machines for EEG-based brain computer interfaces". Journal of neural engineering. 2011. Vol. 8 n°5 p. 056004
Montoya, C., Bellenguez-Morineau O. et Rivreau D., "Branch and price approach for the multi-skill project scheduling problem". 12ième Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision. 2011, Saint-Etienne, 2011

2010

Detienne, B., Pinson E. et Rivreau D., "Lagrangian domain reductions for the single machine earliness–tardiness problem with release dates". European Journal of Operational Research. 2010. Vol. 201 (1) p. 45 - 54
Guyon, O., Lemaire P., Pinson E. et Rivreau D., "Cut generation for an integrated employee timetabling and production scheduling problem". European Journal of Operational Research. 2010. Vol. 201 n°2 p. 557-567
Jrad, N., Beauseroy P. et Grall-Maës E., "Learning multiclass rules with class-selective rejection and performance constraints". In : Pattern Recognition Recent Advances . [s.l] : InTech, 2010
Khawandi, S., Daya B. et Chauvet P., "Automated Monitoring System for Fall Detection in the Elderly". International Journal of Image Processing. 2010. Vol. 4
Montoya, C., Bellenguez-Morineau O. et Rivreau D., "New models for the multi-skill project scheduling problem". European conference on operational research, Euro 2010. 2010, Lisbonne, 2010

2009

Belkhelladi, K., Chauvet P. et Schaal A., "Chapter 14 : Cooperation Control in Distributed Population-based Algorithms using a Multi-agent Approach Application to a real-life Vehicle Routing Problem". In : Rodic, AD. D. (dir.), Contemporary Robotics - Challenges and Solutions . [s.l] : InTech, 2009. p. 249-274 (n°14)
Bennani, O., Chauvet P., Chauvet G.., Dupont J-M. et Jouen F.., "A hierarchical modeling approach of Hippocampus local circuit". {Journal of Integrative Neuroscience}. 2009. Vol. 8 p. 49-76
Chauvet, P. et Dupont J-M., "How In-Silico Experiments Can Help Drug-Discovery: The Glutamatergic Synapse as an Example of Application". 2009 Second International Conference on Developments in eSystems Engineering. 12/2009, 2009
Detienne, B., Péridy L., Pinson E. et Rivreau D., "Cut generation for an employee timetabling problem". European Journal of Operational Research. 2009. Vol. 197 n°3 p. 1178 - 1184
Jrad, N., Grall-Maës E. et Beauseroy P., "Gene-based multiclass cancer diagnosis with class-selective rejections". BioMed Research International. 2009. Vol. 2009

2008

Belkhelladi, K., Chauvet P. et Schaal A., "An Agent Framework with an Efficient Information Exchange Model for Distributed Genetic Algorithms". Proceedings of the 2008 IEEE World Congress on Computational Intelligence (WCCI’08). 06/2008, China, Hong Kong, 2008