36 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- École Centrale de LilleFR8 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Institut national de recherche en sciences et technologies du numériqueFR6 papers
- Centre Inria de l'Université de LilleFR5 papers
- National Engineering School of TunisTN5 papers
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR3 papers
- Université d'ArtoisFR3 papers
- Hautes Études d'IngénieurFR2 papers
- Laboratoire d'Informatique, du Traitement de l'Information et des SystèmesFR2 papers
- Laboratoire d'Informatique Fondamentale de LilleFR2 papers
- Université de LilleFR2 papers
- Université Lille Nord de FranceFR2 papers
30 papers
Agent-Based Modeling of Systems of Systems
Jean-Baptiste Soyez, Gildas Morvan, Rochdi Merzouki +1
This paper deals with the generic modeling of systems of systems (SoSs) using agent-based modeling. SoSs are large-scale systems, including numerous-possibly heterogeneous-interact…
Autonomous Legged Mobile Manipulation for Lunar Surface Operations via Constrained Reinforcement Learning
Alvaro Belmonte-Baeza, Miguel Cazorla, Gabriel J. García +2
Robotics plays a pivotal role in planetary science and exploration, where autonomous and reliable systems are crucial due to the risks and challenges inherent to space environments…
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network
Nathan Hubens, Matei Mancas, Bernard Gosselin +2
In recent years, deep neural networks have known a wide success in various application domains. However, they require important computational and memory resources, which severely h…
Ramp metering: modeling, simulations and control issues
Cédric Join, Hassane Abouaïssa, Michel Fliess
The aim of ramp metering is to improve the highway traffic conditions by an appropriate regulation of the inflow from the on-ramps to the highway mainstream. Our presentation rests…
Explicit construction of the minimum error variance estimator for stochastic LTI state-space systems
Deividas Eringis, John Leth, Zheng-Hua Tan +2
In this short article, we showcase the derivation of the optimal (minimum error variance) estimator, when one part of the stochastic LTI system output is not measured but is able t…
Dynamic programming systems for modeling and control of the traffic in transportation networks
Nadir Farhi
This thesis is entitled Dynamic programming systems for modeling and control of the traffic in transportation networks. Two parts are distinguished in this dissertation: 1) methods…
SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiers
Mahmoud Albardan, John Klein, Olivier Colot
We investigate a problem in which each member of a group of learners is trained separately to solve the same classification task. Each learner has access to a training dataset (pos…
On time and consistency in multi-level agent-based simulations
Gildas Morvan, Yoann Kubera
The integration of multiple viewpoints became an increasingly popular approach to deal with agent-based simulations. Despite their disparities, recent approaches successfully manag…
Learning opening books in partially observable games: using random seeds in Phantom Go
Tristan Cazenave, Jialin Liu, Fabien Teytaud +1
Many artificial intelligences (AIs) are randomized. One can be lucky or unlucky with the random seed; we quantify this effect and show that, maybe contrarily to intuition, this is…
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)
L. Jacques, C. De Vleeschouwer, Y. Boursier +64
The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between interna…
Upper bounds for the travel time on traffic systems
Nadir Farhi, Habib Haj-Salem, Jean-Patrick Lebacque
A key measure of performance and comfort in a road traffic network is the travel time that the users of the network experience to complete their journeys. Travel times on road traf…
Networked control systems in the presence of scheduling protocols and communication delays
Kun Liu, Emilia Fridman, Laurentiu Hetel
This paper develops the time-delay approach to Networked Control Systems (NCSs) in the presence of variable transmission delays, sampling intervals and communication constraints. T…
An algebraic approach for modeling and simulation of road traffic networks
Nadir Farhi, Habib Haj-Salem, Jean-Patrick Lebacque
We present in this article an algebraic approach to model and simulate road traffic networks. By defining a set of road traffic systems and adequate concatenating operators in that…
A Methodology to Engineer and Validate Dynamic Multi-level Multi-agent Based Simulations
Jean-Baptiste Soyez, Gildas Morvan, Daniel Dupont +1
This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodolog…
Evolutionary Approach for the Containers Bin-Packing Problem
R. Kammarti, I. Ayachi, M. Ksouri +1
This paper deals with the resolution of combinatorial optimization problems, particularly those concerning the maritime transport scheduling. We are interested in the management pl…
Harmony search algorithm for the container storage problem
I. Ayachi, R. Kammarti, M. Ksouri +3
Recently a new metaheuristic called harmony search was developed. It mimics the behaviors of musicians improvising to find the better state harmony. In this paper, this algorithm i…
A Genetic algorithm to solve the container storage space allocation problem
I. Ayachi, R. Kammarti, M. Ksouri +6
This paper presented a genetic algorithm (GA) to solve the container storage problem in the port. This problem is studied with different container types such as regular, open side,…
Multiple functional regression with both discrete and continuous covariates
Hachem Kadri, Philippe Preux, Emmanuel Duflos +1
In this paper we present a nonparametric method for extending functional regression methodology to the situation where more than one functional covariate is used to predict a funct…
Functional Regularized Least Squares Classi cation with Operator-valued Kernels
Hachem Kadri, Asma Rabaoui, Philippe Preux +2
Although operator-valued kernels have recently received increasing interest in various machine learning and functional data analysis problems such as multi-task learning or functio…
Fractional order differentiation by integration with Jacobi polynomials
Da-Yan Liu, Olivier Gibaru, Wilfrid Perruquetti +1
The differentiation by integration method with Jacobi polynomials was originally introduced by Mboup, Join and Fliess. This paper generalizes this method from the integer order to…
Convergence Rate of the Causal Jacobi Derivative Estimator
Da-Yan Liu, Olivier Gibaru, Wilfrid Perruquetti
Numerical causal derivative estimators from noisy data are essential for real time applications especially for control applications or fluid simulation so as to address the new par…
Parameters estimation of a noisy sinusoidal signal with time-varying amplitude
Da-Yan Liu, Olivier Gibaru, Wilfrid Perruquetti
In this paper, we give estimators of the frequency, amplitude and phase of a noisy sinusoidal signal with time-varying amplitude by using the algebraic parametric techniques introd…
Multi-objective Optimization For The Dynamic Multi-Pickup and Delivery Problem with Time Windows
Imen Harbaoui Dridi, Ryan Kammarti, Pierre Borne +1
The PDPTW is an optimization vehicles routing problem which must meet requests for transport between suppliers and customers satisfying precedence, capacity and time constraints. W…
Approche Multicritère pour le Problème de Ramassage et de Livraison avec Fenêtres de Temps à Plusieurs Véhicules
Imen Harbaoui Dridi, Ryan Kammarti, Mekki Ksouri +1
Nowadays, the transport goods problem occupies an important place in the economic life of modern societies. The pickup and delivery problem with time windows (PDPTW) is one of the…