
Denis Pomorski
Publications
Nawal Alsaleh, Denis Pomorski, Mohamed Sebbache, Kamel Haddadi
Machine Learning-Based Microwave Techniques for Dielectric Material Classification
2024 IEEE Symposium on Wireless Technology & Applications (ISWTA), Jul 2024, Kuala Lumpur, Malaysia. pp.250-253, ⟨10.1109/ISWTA62130.2024.10651951⟩
Nawal Alsaleh, Denis Pomorski, Mohamed Sebbache, Clément Lenoir, Kamel Haddadi
Nanorobotic Integration with Millimeter-Waves: Advancing Precise Free-Space Sensing
2024 25th International Microwave and Radar Conference (MIKON), Jul 2024, Wroclaw, Poland. pp.324-326, ⟨10.23919/MIKON60251.2024.10633954⟩
Kamel Haddadi, Denis Pomorski, Mohamed Sebbache, Nawal Alsaleh, Clément Lenoir
Plate-forme nano-robotique radar à 60 GHz
CNRIUT 2023 Saint Pierre - La Réunion, IUT de Saint Pierre, Jun 2023, Saint Pierre (La Réunion), La Réunion
Nawal Alsaleh, Denis Pomorski, Mohamed Sebbache, Kamel Haddadi
Machine Learning-Based Monostatic Microwave Radar for Building Material Classification
2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 2023, Kuala Lumpur, Malaysia. pp.1-5, ⟨10.1109/I2MTC53148.2023.10176071⟩
Nawal Alsaleh, Denis Pomorski, Mohamed Sebbache, C. Lenoir, Kamel Haddadi
WR15 Six-port Interferometric Set-up for Millimeter-wave Characterization for Harsh Environments
2022 Photonics & Electromagnetics Research Symposium (PIERS), Apr 2022, Hangzhou, China. pp.414-419, ⟨10.1109/PIERS55526.2022.9792652⟩
Nawal Alsaleh, Denis Pomorski, Mohamed Sebbache, Kamel Haddadi, Clément Lenoir
Nano-Positioning Test platform for Free-Space Six-Port Interferometric Distance Measurements
International Conference on Antenna Measurements and Applications, CAMA 2021, Nov 2021, Antibes Juan-les-Pins, France. ⟨10.1109/CAMA49227.2021.9703650⟩
Nawal Alsaleh, Bilal Daass, Denis Pomorski, Kamel Haddadi
Fast and Real-Time Sensor-Fault Detection using Shannon’s Entropy
5th International Conference on Control and Fault-Tolerant Systems, Sep 2021, Saint-Raphaël, France. pp.273-278, ⟨10.1109/SysTol52990.2021.9595413⟩
Bilal Daass, Denis Pomorski, Kamel Haddadi
Design of multi-sensor fusion architectures based on the covariance intersection algorithm-estimating calculation burdens
Journal of Intelligent and Robotic Systems, 2021, 101 (4), 77, 16 p. ⟨10.1007/s10846-021-01347-9⟩
Chaima Bensaci, Youcef Zennir, Denis Pomorski, Fares Innal, Yiliu Liu
Distributed vs. Hybrid Control Architecture Using STPA and AHP - Application to an Autonomous Mobile Multi-robot System
International Journal of Safety and Security Engineering, 2021, 11, pp.1 - 12. ⟨10.18280/ijsse.110101⟩
Alaa Taleb, Denis Pomorski, Christophe Boyaval, S. Arscott, Gilles Dambrine, Kamel Haddadi
Control and automation for miniaturized microwave GSG nanoprobing
Machine Vision and Navigation, Springer International Publishing, pp.751-768, 2020, ⟨10.1007/978-3-030-22587-2_24⟩
Bilal Daass, Denis Pomorski, Adem Rouibah, Kamel Haddadi
Proof-of-concept millimeter-wave free-space nondestructive testing implemented on collaborative mobile robots
International Workshop on Metrology for Industry 4.0 & IoT 2020, MetroInd4.0&IoT 2020, Jun 2020, Roma, Italy. pp.354-359, ⟨10.1109/MetroInd4.0IoT48571.2020.9138237⟩
Chaima Bensaci, Youcef Zennir, Denis Pomorski
A New Approach to System Safety of human-multi-robot mobile system control with STPA and FTA
ALGERIAN JOURNAL OF SIGNALS AND SYSTEMS (AJSS), 2020
Chaima Bensaci, Youcef Zennir, Denis Pomorski, Innal Fares, Yiliu Liu, Cherif Tolba
STPA and Bowtie Risk Analysis Study for Centralized and Hierarchical Control Architectures Comparison
Alexandria Engineering Journal, 2020, 59 (5), pp.3799-3816. ⟨10.1016/j.aej.2020.06.036⟩
Bilal Daass, Pomorski Denis, Kamel Haddadi
A new faster filter based on optimizing the calculation burden of information and Kalman filters
15th European/IFAC Workshop on Advanced Control and Diagnosis (ACD'2019), Nov 2019, Bologna, Italy. pp.453-467
Bilal Daass, Denis Pomorski, Kamel Haddadi
An adaptive threshold for change detection methods using a windowed entropy-based criterion - Application to fault-tolerant fusion in collaborative mobile robotics
2019 4th Conference on Control and Fault Tolerant Systems (SysTol), Sep 2019, Casablanca, Morocco. pp.56-61, ⟨10.1109/SYSTOL.2019.8864768⟩
Bilal Daass, Pomorski Denis, Adem Rouibah, Christophe Loyez, Kamel Haddadi
Robots mobiles collaboratifs pour le contrôle non destructif hyperfréquence de structures planaires
Colloque international Télécom’2019 & 11èmes JFMMA, Jun 2019, Saïda, Maroc
Bilal Daass, Pomorski Denis, Adem Rouibah, Christophe Loyez, Kamel Haddadi
Contrôle non destructif par capteur bi-statique micro-ondes embarqué sur robots mobiles collaboratifs
Journées Nationales du Réseau Doctoral en Micro-nanoélectronique (JNRDM 2019), Jun 2019, Montpellier, France
Bilal Daass, Denis Pomorski, Kamel Haddadi
Using an adaptive entropy-based threshold for change detection methods – Application to fault-tolerant fusion in collaborative mobile robotics
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), Apr 2019, Paris, France. pp.1173-1178, ⟨10.1109/CoDIT.2019.8820667⟩
Bilal Daass, Pomorski Denis, Kamel Haddadi
An adaptive threshold for change detection methods using an entropy criterion - Application to fault-tolerant fusion in mobile robotics
1st International Conference on Advances in Signal Processing and Artificial Intelligence, ASPAI’2019 (IFSA), Mar 2019, Barcelona, Spain. pp.93-97
Youcef Zennir, Chaima Bensaci, Denis Pomorski
A Comparative Study of STPA Hierarchical Structures in Risk Analysis: The case of a Complex Multi-Robot Mobile System
WSEAS Transactions on Computers, In press
Chaima Bensaci, Youcef Zennir, Denis Pomorski
A Comparative Study of STPA Hierarchical Structures in Risk Analysis: The case of a Complex Multi-Robot Mobile System
European Conference on Electrical Engineering & Computer Science, EECS 2018, Dec 2018, Bern, Switzerland
Bilal Daass, Denis Pomorski, Kamel Haddadi
Approches informationnelles pour la fusion tolérante aux fautes – Application à la robotique mobile
5ème Journée Régionale des Doctorants en Automatique, Jul 2018, Amiens, France
Kamel Haddadi, Christophe Loyez, Laurent Clavier, Denis Pomorski, Simon Lallemand
Six-Port Reflectometer in WR15 Metallic Waveguide for Free-Space Sensing Applications
2018 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet 2018), Jan 2018, Anaheim, United States
Chaima Bensaci, Youcef Zennir, Denis Pomorski
Nonlinear Control of a differential wheeled mobile robot in real time-Turtlebot 2
International Conference on Advanced Technologies and Electrical Engineering (ICTAEE’18), 2018, Skikda, Algeria. pp.12 - 14
Chaima Bensaci, Youcef Zennir, Pomorski Denis
Control of mobile robot navigation under the virtual world Matlab-Gazebo
ALGERIAN JOURNAL OF SIGNALS AND SYSTEMS (AJSS), 2017, 2 (4)
Chaima Bensaci, Youcef Zennir, Denis Pomorski, El-Arkam Mechhoud
Complex Safety Study of intelligent multi-robot navigation in risk's environment
The 51st International Carnahan Conference on Security Technology, Oct 2017, Madrid, Spain. ⟨10.1109/CCST.2017.8167809⟩
Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski
Multi-Sensor Fusion Approach with Fault Detection and Exclusion based on the Kullback-Leibler Divergence: Application on Collaborative Multi-Robot System
Information Fusion, 2017, 37, pp.61-76. ⟨10.1016/j.inffus.2017.01.005⟩
Alaa Taleb, Denis Pomorski, Christophe Boyaval, Gilles Dambrine, Kamel Haddadi
Pilotage de nano-manipulateurs – Application à la nanocaractérisation électrique
Congrès National de la Recherche en IUT (CNRIUT’2017), May 2017, Auxerre, France
Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski
Fault tolerant multi-sensor fusion based on the information gain
Journal of Physics: Conference Series, 2017, 783 (1), ⟨10.1088/1742-6596/783/1/012011⟩
Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski
Localisation collaborative d’un système multi-robots avec détection et isolation de défauts capteurs basée sur la divergence de Kullback-Leibler
Journal Européen des Systèmes Automatisés, 2017
Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski
Collaborative Localization for Multi-Robot System with Fault Detection and Exclusion based on the Kullback-Leibler Divergence
Journal of Intelligent and Robotic Systems, 2016, ⟨10.1007/s10846-016-0451-z⟩
Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski
Fault tolerant multi-sensor fusion based on the information gain
13th IFAC European Workshop on Advanced Control and Diagnosis (ACD’2016), Nov 2016, Lille, France
Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski
Fault Tolerant Multi-Sensor Fusion for Multi-Robot Collaborative Localization
The 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), Sep 2016, Baden-Baden, Germany
Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski
Fault tolerant collaborative localization for multi-robot system
2016 24th Mediterranean Conference on Control and Automation (MED), Jun 2016, Athènes, Greece. ⟨10.1109/MED.2016.7535869⟩
Joelle Al Hage, Fatima El Zahraa Wehbi, Denis Pomorski, Maan El Badaoui El Najjar
Contrôle d’une flotte de robots mobiles via l’environnement Matlab/ROS
Congrès National de la Recherche en IUT (CNRIUT’2016), Jun 2016, Nantes, France
Dawood Maya, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Bachar El Hassan, Denis Pomorski
Virtual 3D city model as a priori information source for vehicle localization system
Transportation research. Part C, Emerging technologies, 2016, ⟨10.1016/j.trc.2015.12.003⟩
Joelle Al Hage, Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski
Fault detection and exclusion method for a tightly coupled localization system
2015 International Conference on Advanced Robotics (ICAR), Jul 2015, Istanbul, Turkey
Joelle Al Hage, Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski
Fault Tolerant Fusion Approach Based on Information Theory Applied on GNSS Localization
18 th International conference on information fusion (Fusion), Jul 2015, Washington DC, United States
Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Joelle Al Hage, Denis Pomorski
Fast multi fault detection & exclusion approach for GNSS integrity monitoring
Information Fusion (FUSION), 2014 17th International Conference on, Jul 2014, Salamanque, Spain
Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Cherif Smaili, Denis Pomorski
Fast multi-fault detection and exclusion approach for GNSS integrity monitoring
16th IEEE International Conference on Advanced Robotics (ICAR’2013), Nov 2013, Montevideo, Uruguay
Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski
Dynamical Reconfiguration Strategy of a Multi Sensor Data Fusion Algorithm Based on Information Theory
IEEE Intelligent Vehicles Symposium, Jun 2013, Gold coast, Australia
Maan El Badaoui El Najjar, Denis Pomorski, Dawood Maya
Virtual 3D city model as a priori information source of vehicle ego-localization system
Transportation research. Part C, Emerging technologies, 2013
Maya Dawood, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Denis Pomorski
Harris, SIFT and SURF features comparison for vehicle localization based on virtual 3D model and camera
International Conference on Image Processing Theory, Tools and Applications (IPTA'2012), Oct 2012, Istanbul, Turkey. ⟨10.1109/IPTA.2012.6469511⟩
Distributed control of multi-actor systems: Reinforcement signal by Shannon’s entropy
The 24th European Modelling and Simulation Symposium (Simulation in Industry), EMSS’2012, Sep 2012, Vienna, Austria
Dawood Maya, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Denis Pomorski
Vehicle Geo-Localization Using IMM-UKF Data Fusion based on Virtual 3D City Model As a Priori Information
The 2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES'12), Jul 2012, ISTANBUL, Turkey
Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski
Multi-sensor data fusion based on information theory. Application to GNSS positionning and integrity monitoring
Fusion 2012, Jul 2012, Singapore, Singapore
Maan El Badaoui El Najjar, Cherif Smaili, François Charpillet, Denis Pomorski, Mireille Bayart
Fault-tolerant Data-fusion Method: Application on Platoon Vehicle Localization
Nada Matta and Yves Vandenboomgaerde and Jean Arlat. Supervision and Safety of Complex Systems, Wiley-ISTE, 2012, 978-1-84821-413-2
Maan El Badaoui El Najjar, Cherif Smaili, François Charpillet, Denis Pomorski
Localisation intègre de véhicules avec fusion multi-capteurs tolérante aux défaillances
Nda Matta, Yves Vanderboomgaerde, Jean Arlat. Supervision, surveillance et sûreté de fonctionnement des grands systèmes, Hermes, Lavoisier, pp.55-94, 2012, Traité IC2 Série Systèmes automatisés, 2746238403
Maya Dawood, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Denis Pomorski
Vehicle geo-localization based on IMM-UKF data fusion using a GPS receiver, a video camera, and a 3D city model
2011 IEEE Intelligent Vehicles Symposium (IV’2011), Jun 2011, Baden-Baden, Germany. ⟨10.1109/IVS.2011.5940517⟩
Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Intelligent geo-localisation in urban areas using global positioning systems, 3dimensional geographic information systems, and vision
Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2010, 14 (1), pp.3 - 12. ⟨10.1080/15472450903385999⟩
Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Intelligent Geolocalization in Urban Areas Using Global Positioning Systems, Three-Dimensional Geographic Information Systems, and Vision
Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2010, 14 (1 (Part 2)), pp.3-12. ⟨10.1080/15472450903385999⟩
Maan El Badaoui El Najjar, Cindy Cappelle, Denis Pomorski, François Charpillet
Fusion de données GPS, vision, Lidar et SIG3D pour la géo-localisation et la détection d’obstacles
7èmes Journées Nationales de la Recherche en Robotique (JNRR’2009), Nov 2009, Neuvy-sur-Barangeon, France
Jing Peng, Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Virtual 3D city model for intelligent vehicle geo-localization
The 9th IEEE International Conference on ITS Telecommunication (ITST’2009), Oct 2009, Lille, France. ⟨10.1109/ITST.2009.5399306⟩
Jing Peng, Maan El Badaoui El Najjar, Cindy Cappelle, Denis Pomorski, François Charpillet, Abdallah Deeb
A novel geo-localisation method using GPS, 3D-GIS and Laser scanner for intelligent vehicle navigation in urban areas
14th International Conference on Advanced Robotics - ICAR'2009, Jun 2009, Munich, Germany. pp.1-6
Cindy Cappelle, Jing Peng, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Vehicle geo-localization with virtual 3D city model
Workshop on “Localisation Précise pour les Transports Terrestres”, Jun 2009, Paris, France
Maan El Badaoui El Najjar, Cindy Cappelle, Denis Pomorski
Etude de l’apport d’un modèle 3D virtuel pour la géo-localisation et la détection d’obstacles
15ème colloque national de la recherche dans les IUT (CNRIUT’2009), Jun 2009, Lille, France
Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Geo-localization in urban areas based on virtual 3D city model and vision
IEEE/RSJ 2008 International Conference on Intelligent RObots and Systems, Sep 2008, Nice, France
Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Détection, suivi et géo-localisation d'obstacles à l'aide d'un modèle 3D géo-référencé, une caméra et un GPS : validation avec un lidar
Conférence Internationale Francophone d'Automatique - CIFA'08, Sep 2008, Bucarest, Roumanie
Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Multi-sensors data fusion using dynamic bayesian network for robotised vehicle geo-localisation
11th International Conference on Information Fusion, Jul 2008, Cologne, Germany. pp.1-8
Cindy Cappelle, Maan El Badaoui El Najjar, François Charpillet, Denis Pomorski
Obstacle detection and localization method based on 3D model: distance validation with Ladar
IEEE International Conference on Robotics and Automation - ICRA'08, May 2008, Pasadena, United States. pp.4031-4036, ⟨10.1109/ROBOT.2008.4543830⟩
Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Multi-sensor data fusion for geo-localisation in urban areas
European Navigation Conference - Global Navigation Satellite Sytems - ENC-GNSS'08, Apr 2008, Toulouse, France
Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Multisensor data fusion for geolocalisation in urban areas
Fusion'2008, 2008, Cologne, Germany
Cindy Cappelle, Maan El Badaoui El Najjar, François Charpillet, Denis Pomorski
Outdoor Obstacle Detection and Localisation with Monovision and 3D Geographical Database
The 10th International IEEE Conference on Intelligent Transportation Systems - ITSC'07, Oct 2007, Seattle, United States. pp.1102-1107
Cindy Cappelle, Maan El Badaoui El Najjar, François Charpillet, Denis Pomorski
Obstacles detection and localisation with 3D geographical model and monovision
IEEE Intelligent Transportation Systems Conference - ITSC'07, Sep 2007, Seattle, United States. pp.1102-1107
Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Localisation in urban environment using GPS and INS aided by monocular vision system and 3D geographical model
2007 IEEE Intelligent Vehicles Symposium (IV'07), Jun 2007, Istanbul, Turkey
Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet
Mise en correspondance d'images réelles avec un modèle 3D géographique pour la localisation terrestre
cinquième édition des ateliers de travail sur le traitement et l'analyse de l'information : Méthodes et Applications - TAIMA'07, May 2007, Hammamet, Tunisie. pp.523-528
Cindy Cappelle, Denis Pomorski, Yang Yanqin
GPS/INS Data Fusion for and Vehicle Localization
IMACS Multiconference, Computational Engineering in Systems Applications, CESA'2006, Oct 2006, Beijing, China
Francois Caron, Emmanuel Duflos, Denis Pomorski, Philippe Vanheeghe
GPS/IMU Data Fusion using multisensor Kalman filtering: Introduction of contextual aspects
Information Fusion, 2006, 7, pp.221-230. ⟨10.1016/j.inffus.2004.07.002⟩
Utilisation de l'entropie de Shannon pour l'optimisation de systèmes
TAIMA'2005, Sep 2005, Hammamet, Tunisie
Fusion de données GPS/INS pour le positionnement terrestre
TAIMA'2005, Sep 2005, Hammamet, Tunisie
DGPS-INS data fusion for land navigation
The 7th IEEE International Conference on Information Fusion (FUSION’2004), Jun 2004, Stockholm, Sweden
Shannon’s Entropy for Network Optimization
International Conference sur la Modélisation Stochastique et Statistique (MSS’2004), Apr 2004, Alger, Algeria
GPS/INS data fusion for land navigation
Journal of Donghua University, 2004, 21 (3), pp.88-93
DGPS-INS data fusion for land navigation
2003 Sino-French Workshop on Sensory Evaluation and Intelligent Techniques, Dec 2003, Shanghai, China
Bottom-Up attribute Selection for the induction of decision Trees
The Multiconference on Computational Engineering in Systems Applications CNRS/IMACS/IEEE-SMC (CESA’2003), Jul 2003, Lille, France
Decentralized detection: Optimizing with Bayes’ or entropy-based Criterion?
The 6th IEEE International Conference on Information Fusion (FUSION’2003), Jul 2003, Cairns, Australia. ⟨10.1109/ICIF.2003.177334⟩
Optimisation entropique pour les systèmes de détection binaire
5ème congrès de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF’2003), Feb 2003, Avignon, France. pp.277-278
Denis Pomorski, Christophe Desrousseaux
Improving performance of distributed detection networks: an entropy-based optimization
Signal Processing, 2001, 81, pp.2479-2491
Denis Pomorski, Paul-Benoît Perche
Inductive learning of decision trees: Application to fault isolation of an induction motor
Engineering Applications of Artificial Intelligence, 2001, 14, pp.155-166. ⟨10.1016/S0952-1976(00)00078-6⟩
Daniel Calvelo Aros, M.C. Chambrin, Denis Pomorski
From local trend extraction to symbolization of time-series
Intelligent Data Analysis, 2001, 5 (1), pp.41-57
Denis Pomorski, Jérôme Penin, Daniel Calvelo Aros
Apprentissage par arbre de décision pour la prévision des pics de pollution
Journées Inter-Réseaux Atmo’2000, Oct 2000, Bordeaux, France
Denis Pomorski, Paul-Benoît Perche
Inductive learning approach for fault isolation – Application to the induction motor
The IFAC Symposium on Intelligent Components and Instruments for Control Applications (SICICA’2000), Sep 2000, Buenos Aires, Argentina
Entropy-based optimisation for binary detection networks
The 3rd IEEE International Conference on Information Fusion (FUSION’2000), Jul 2000, Paris, France. ⟨10.1109/IFIC.2000.859895⟩
Denis Pomorski, Paul-Benoît Perche
Diagnostic et arbres de décision – Application à la surveillance partielle d’un moteur asynchrone
Journal Européen des Systèmes Automatisés, 2000, 34 (4), pp.441-477
Denis Pomorski, Christophe Desrousseaux
Optimisation entropique des systèmes de détection distribuée parallèle
Traitement du Signal, 2000, 17 (4), pp.339-351
Daniel Calvelo Aros, M.C. Chambrin, Denis Pomorski, Pierre Ravaux
Towards symbolization using data-driven extraction of local trends for ICU monitoring
Artificial Intelligence in Medicine, 2000, 19, pp.203-223
Daniel Calvelo Aros, M. C. Chambrin, Christian Vilhelm, Denis Pomorski
Apprentissage de modèles dynamiques pour l’aide à la décision en monitorage médical
Journées Doctorales d’Automatique (JDA’99), Sep 1999, Nancy, France. pp.361-364
Daniel Calvelo Aros, M. C. Chambrin, Denis Pomorski
Decision support using machine learning: Towards intensive care unit patient state characterisation
The IFAC/IEEE European Control Conference (ECC’99), Aug 1999, Karlsruhe, Germany
Daniel Calvelo Aros, M.C. Chambrin, Denis Pomorski, Pierre Ravaux
ICU patient state characterisation using machine learning in a time series framework
Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making (AIMDM’99), Jun 1999, Aalborg, Denmark. ⟨10.1007/3-540-48720-4_38⟩
Daniel Calvelo Aros, Marie-Christine Chambrin, Denis Pomorski, Pierre Ravaux
ICU Patient State Characterisation using Machine Learning in a Time Series Framework
Artificial Intelligence in Medicine (AIM), 1999
Christophe Desrousseaux, Denis Pomorski
Optimisation entropique des systèmes de détection distribuée
Traitement du Signal, 1999, 16 (4), pp.275-293
Abdelatif Rahmoun, Denis Pomorski
Control process fault diagnosis using fuzzy classification in the parity space
22nd International Conference on Computers & Industrial Engineering (ICC&IE’97), Dec 1997, Cairo, Egypt
Daniel Calvelo Aros, M. C. Chambrin, Denis Pomorski, Pierre Ravaux
Arbres de décision et analyse dynamique de données médicales : Introduction de la notion d’échelle
Congrès Automatique - Génie Informatique – Image – Signal (AGIS’97), Dec 1997, Angers, France. pp.159-166
Paul-Benoît Perche, Denis Pomorski
Méthodes d’induction par arbre de décision utilisant un critère entropique
Congrès Automatique - Génie Informatique – Image – Signal (AGIS’97), Dec 1997, Angers, France. pp.81-88
Christophe Desrousseaux, Denis Pomorski
Apprentissage d’un modèle qualitatif dynamique minimal pour la détection décentralisée
Congrès Automatique - Génie Informatique – Image – Signal (AGIS’97), Dec 1997, Angers, France. pp.89-94
Sylvain Porrot, Denis Pomorski, Max Dauchet
Classification et compression
Cinquièmes Rencontres de la Société Francophone de Classification, Sep 1997, Lyon, France. pp.229-234
Paul-Benoît Perche, Denis Pomorski
Decision tree induction methods using an entropy criterion – II. Local approaches
Second International ICSC (International Computer Science Conventions), Symposium on “Soft Computing” (SOCO’97), Sep 1997, Nimes, France. pp.294-299
Paul-Benoît Perche, Denis Pomorski
Decision tree induction methods using an entropy criterion – I. Global approaches
Second International ICSC (International Computer Science Conventions), Symposium on “Soft Computing” (SOCO’97), Sep 1997, Nimes, France. pp.286-293
Sylvain Porrot, Max Dauchet, Denis Pomorski
The fractal dimension of a computable figure is the average normalized complexity of its points
Bulletin- European Association for Theoretical Computer Science, 1997, 62, pp.216-221
Denis Pomorski, Mouloud Sbai, Marcel Staroswiecki
A qualitative approach to the change detection problem with different types of sampling
1996 IEEE International Conference on Systems, Man, and Cybernetics, Oct 1996, Beijing, China. pp.2498-2503, ⟨10.1109/ICSMC.1996.561308⟩
Denis Pomorski, Marcel Staroswiecki
Analysis of dynamical systems based on information theory
World Automation Congress (WAC’96), May 1996, Montpellier, France. pp.563-570
Marie-Paule Carton, Denis Pomorski, Marcel Staroswiecki
Sélection de capteurs pour systèmes de détection décentralisée par un algorithme d’apprentissage basé sur l’entropie
Quinzième Colloque sur le Traitement du Signal et des Images (GRETSI’95), Sep 1995, Juan-les-Pins, France. pp.917-920
Paul-Benoît Perche, Denis Pomorski, Marcel Staroswiecki
Decision tree induction methods using an entropy criterion
Second International Conference on Industrial Automation, Jun 1995, Nancy, France
Mouloud Sbai, Denis Pomorski, Marcel Staroswiecki
Machine learning applied to the detection of model changes
International Conference on Applications of Signals, Data, Systems Methodologies to Engineering Problems, Dec 1992, Alexandria, Egypt
Denis Pomorski, Mouloud Sbai, Marcel Staroswiecki
Automatic learning from incoherent data
Systems Science XI, Sep 1992, Wroclaw, Poland
Denis Pomorski, Marcel Staroswiecki
Generalization in automatic learning using aggregation and prolongation
Journées Internationales “Analyse de Données et Apprentissage Symbolique-Numérique”, Sep 1991, Paris, France. Journées Internationales “Analyse de Données et Apprentissage Symbolique-Numérique”
Denis Pomorski, Marcel Staroswiecki
Covers and partitions for observation based learning
IMACS-IFAC Symposium on Modelling and Control of Technological Systems, May 1991, Lille, France. pp.505-510
Denis Pomorski, Marcel Staroswiecki, Mohamed Barboucha
Learning a qualitative model of a complex system via data analysis
J.L. Alty and L.I. Mikulich. Industrial Applications of Artificial Intelligence, Elsevier, pp.285-291, 1991
Denis Pomorski, Marcel Staroswiecki, Mohamed Barboucha
Modelling complex systems via the analysis of qualitative data
R. Hanus, P. Kool and S. Tzafestas. Mathematical and Intelligent Models in System Simulation, J.C. Baltzer AG, Sc. Pub. Co., pp.253-257, 1991
Denis Pomorski, Marcel Staroswiecki, Mohamed Barboucha
Modelling complex systems via the analysis of qualitative data
IMACS-IFAC International Symposium on Mathematical and Intelligent Models in System Simulation (MIM-S2’90), Sep 1990, Brussels, Belgium
Denis Pomorski, Marcel Staroswiecki, Mohamed Barboucha
Learning a qualitative model of a complex system via data analysis
IFIP - International Conference on Artificial Intelligence & Industrial Application, Apr 1990, Leningrad, Russia. pp.55-60
Recherche
Type de document
Année
Rapports de fin de projets & contrats industriels
- Denis Pomorski, « Système multi-capteurs pour la surveillance des flux de véhicules sur les autoroutes », Rapport de fin de contrat Jessica France (confidentiel), janvier 2002.
Communications sans actes
- Denis Pomorski, « Théorie de l’information et filtre informationnel pour la fusion tolérante aux fautes – Application à la robotique mobile collaborative », 25ème STP, GDR MACS, Lille, 31 mai 2018.
- Denis Pomorski, « Arbres de décisions et diagnostic », journée S3, ENSAM, Paris, 10 mai 2001.
- Denis Pomorski, Christophe Desrousseaux, « Quantification répartie : Critère entropique et arbre de décision », journée du GT3 du GRAISyHM, Lille, 2 mars 2000.
- Denis Pomorski, Christophe Desrousseaux, « Quantification répartie : Critère entropique et arbre de décision », journée Fusion et Décision des GDR-PRC I3 (GT6.3 Aide à la décision) et ISIS (GT6 Fusion d’informations), ENST Paris, 4 février 2000.
- Denis Pomorski, « Utilisation d’un critère entropique pour l’apprentissage automatique symbolique-numérique », Présentation de l’axe de recherche “Apprentissage Automatique” développé au LAIL, Valenciennes, dans le cadre du GRAISyHM, octobre 1994.
Mémoires & thèses
- Denis Pomorski, « Méthodes entropiques pour l’aide au diagnostic et l’optimisation des systèmes de détection », Habilitation à Diriger des Recherches, soutenue le 21 décembre 1999, Université Lille I, numéro d’ordre : H 234.
- Denis Pomorski, « Apprentissage automatique symbolique/numérique – Construction et évaluation d’un ensemble de règles à partir des données », Thèse de Doctorat, soutenue le 6 décembre 1991, Université Lille I, numéro d’ordre : 830.
- Denis Pomorski, « Méthodes explicatives en analyse de données : Simplification du modèle d’un système complexe », mémoire de DEA Productique, Université Lille I, juin 1989.