Daniel Racoceanu

Publications

• 2015
• Statistically Representative Cloud of Particles for Crowd Flow Tracking

  P. Jamet, S. C. K. Chew, A. Fagette, J. - Y. Dufour, & D. Racoceanu. (2015)

  In A. Fred, M. De Marsico, & A. Tabbone (Eds.), Pattern Recognition Applications and Methods (Vol. 9443, p. 237–251)Cham: Springer International Publishing.
• Breakthrough Technologies in Digital Pathology

  D. Racoceanu, & P. Belhomme. (2015)

  Computerized Medical Imaging and Graphics, 42(C), 1.
• Towards semantic-driven high-content image analysis: An operational instantiation for mitosis detection in digital histopathology

  D. Racoceanu, & F. Capron. (2015)

  Computerized Medical Imaging and Graphics, 42(C), 2–15.
• 2014
• Reconstructing neuronal morphology from microscopy stacks using fast marching

  S. Basu, & D. Racoceanu. (2014)

  In 2014 IEEE International Conference on Image Processing (ICIP) (p. 3597–3601)Presented at the 2014 IEEE International Conference on Image Processing (ICIP), IEEE.
• Spectral band selection for mitosis detection in histopathology

  H. Irshad, A. Gouaillard, L. Roux, & D. Racoceanu. (2014)

  In 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) (p. 1279–1282)Presented at the 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014), IEEE.
• Improved marked point process priors for single neurite tracing

  S. Basu, W. T. Ooi, & D. Racoceanu. (2014)

  In 2014 International Workshop on Pattern Recognition in Neuroimaging (p. 1–4)Presented at the 2014 International Workshop on Pattern Recognition in Neuroimaging (PRNI), IEEE.
• Unsupervised dense crowd detection by multiscale texture analysis

  A. Fagette, N. Courty, D. Racoceanu, & J. - Y. Dufour. (2014)

  Pattern Recognition Letters, 44(C), 126–133.
• Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential

  H. Irshad, A. Veillard, L. Roux, & D. Racoceanu. (2014)

  IEEE Reviews in Biomedical Engineering, 7, 97–114.
• Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology

  H. Irshad, A. Gouaillard, L. Roux, & D. Racoceanu. (2014)

  Computerized Medical Imaging and Graphics, 38(5), 390–402.
• 2013
• A Stochastic Model for Automatic Extraction of 3D Neuronal Morphology

  S. Basu, M. Kulikova, E. Zhizhina, W. T. Ooi, & D. Racoceanu. (2013)

  (K. Mori, I. Sakuma, Y. Sato, C. Barillot, & N. Navab, Eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013 (Vol. 8149, p. 396–403)Berlin, Heidelberg: Springer Berlin Heidelberg.
• Cell nuclei extraction from breast cancer histopathologyimages using colour, texture, scale and shape information

  A. Veillard, M. S. Kulikova, & D. Racoceanu. (2013)

  Diagnostic Pathology, 8(Suppl 1), S5.
• Multispectral Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology

  H. Irshad, A. Gouaillard, L. Roux, & D. Racoceanu. (2013)

  CoRR.
• An analysis-synthesis approach for neurosphere modelisation under phase-contrast microscopy

  S. Rigaud, S. Chao-Hui Huang, S. Ahmed, S. Joo-Hwee Lim, & D. Racoceanu. (2013)

  In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (p. 3989–3992)Presented at the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE.
• Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology

  H. Irshad, L. Roux, & D. Racoceanu. (2013)

  In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (p. 6091–6094)Presented at the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE.
• Mitosis detection in breast cancer histological images An ICPR 2012 contest

  L. Roux, D. Racoceanu, N. Loménie, M. Kulikova, H. Irshad, J. Klossa, .... (2013)

  Journal of Pathology Informatics, 4(1), 8.
• 2012
• New Trends to Support Independence in Persons with Mild Dementia – A Mini-Review

  M. Mokhtari, H. Aloulou, T. Tiberghien, J. Biswas, D. Racoceanu, & P. Yap. (2012)

  Gerontology, 58(6), 554–563.
• Point set morphological filtering and semantic spatial configuration modeling: Application to microscopic image and bio-structure analysis

  N. Loménie, & D. Racoceanu. (2012)

  Pattern Recognition, 45(8), 2894–2911.
• Neurosphere fate prediction: An analysis-synthesis approach for feature extraction

  S. U. Rigaud, N. Lomenie, S. Sankaran, S. Ahmed, J. - H. Lim, & D. Racoceanu. (2012)

  In The 2012 International Joint Conference on Neural Networks (IJCNN) (p. 1–7)Presented at the 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane), IEEE.
• Online 3-D Tracking of Suspension Living Cells Imaged with Phase-Contrast Microscopy

  C. - H. Huang, S. Sankaran, D. Racoceanu, S. Hariharan, & S. Ahmed. (2012)

  IEEE Transactions on Biomedical Engineering, 59(7), 1924–1933.
• pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods

  A. Veillard, D. Racoceanu, & S. Bressan. (2012)

  In 2012 11th International Conference on Machine Learning and Applications (p. 156–161)Presented at the 2012 Eleventh International Conference on Machine Learning and Applications (ICMLA), IEEE.
• SVM-based Framework for the Robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry

  A. Veillard, S. Bressan, & D. Racoceanu. (2012)

  In 2012 11th International Conference on Machine Learning and Applications (p. 70–75)Presented at the 2012 Eleventh International Conference on Machine Learning and Applications (ICMLA), IEEE.
• M. Kulikova, A. Veillard, L. Roux, & D. Racoceanu. (2012)

  In D. R. Haynor & S. Ourselin (Eds.), Medical Imaging 2012: Image Processing (Vol. 8314, p. 831428–831428-8)Presented at the SPIE Medical Imaging, SPIE.
• Ontology-Enhanced Vision System for New Microscopy Imaging Challenges

  N. Lomenie, & D. Racoceanu. (2012)

  (N. Loménie, D. Racoceanu, & A. Gouaillard, Eds.) Advances in Bio-Imaging: From Physics to Signal Understanding Issues (Vol. 120, p. 157–172)Berlin, Heidelberg: Springer Berlin Heidelberg.
• 2011
• Point Set Analysis: An Image Analysis Point of View for Rapid Prototyping Technologies

  N. Lomenie, D. Racoceanu, & G. Stamon. (2011)

  In M. E. Hoque (Eds.), Rapid Prototyping Technology - Principles and Functional RequirementsInTech.
• Parkinson's Disease Diagnosis and Prognosis Using Diffusion Tensor Medical Imaging Features Fusion

  R. Oana, V. - I. Cretu, & D. Racoceanu. (2011)

  In A. Laskovski (Eds.), Biomedical Engineering, Trends in Electronics, Communications and SoftwareInTech.
• Cognitive virtual microscopy: a cognition-driven visual explorer for histopathology – the MICO ANR TecSan 2010 initiative

  D. Racoceanu, N. Loménie, & L. Roux. (2011)

  BMC Proceedings, 5(Suppl 1), P77.
• Consciousness-driven model for visual attention

  P. Cagnac, N. Di Noia, C. - H. Huang, D. Racoceanu, & L. Chaudron. (2011)

  In The 2011 International Joint Conference on Neural Networks (p. 1061–1066)Presented at the 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose), IEEE.
• Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation

  A. Veillard, D. Racoceanu, & S. Bressan. (2011)

  In 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence (p. 591–596)Presented at the 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence (ICTAI), IEEE.
• Time-efficient sparse analysis of histopathological whole slide images

  C. - H. Huang, A. Veillard, L. Roux, N. Loménie, & D. Racoceanu. (2011)

  Computerized Medical Imaging and Graphics, 35(7-8), 579–591.
• 2010
• Support Vector Methods for Sentence Level Machine Translation Evaluation

  A. Veillard, E. Melissa, C. Theodora, D. Racoceanu, & S. Bressan. (2010)

  In 2010 22nd IEEE International Conference on Tools with Artificial Intelligence (p. 347–348)Presented at the 2010 22nd International Conference on Tools with Artificial Intelligence (ICTAI), IEEE.
• Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis

  C. - H. Huang, D. Racoceanu, L. Roux, & T. C. Putti. (2010)

  In The 2010 International Joint Conference on Neural Networks (IJCNN) (p. 1–8)Presented at the 2010 International Joint Conference on Neural Networks (IJCNN), IEEE.
• An Exploration Scheme for Large Images: Application to Breast Cancer Grading

  A. Veillard, N. Lomenie, & D. Racoceanu. (2010)

  In 2010 20th International Conference on Pattern Recognition (p. 3472–3475)Presented at the 2010 20th International Conference on Pattern Recognition (ICPR), IEEE.
• Spatial representation and reasoning in breast cancer grading ontology

  A. E. Tutac, V. I. Cretu, & D. Racoceanu. (2010)

  In 2010 International Joint Conference on Computational Cybernetics and Technical Informatics (p. 89–94)Presented at the 2010 International Joint Conference on Computational Cybernetics and Technical Informatics, IEEE.
• Automatic Area Classification in Peripheral Blood Smears

  W. Xiong, S. - H. Ong, J. - H. Lim, K. Weng Chiong Foong, J. Liu, D. Racoceanu, .... (2010)

  IEEE Transactions on Biomedical Engineering, 57(8), 1982–1990.
• Parkinson's disease prediction using diffusion-based atlas approach

  R. O. Teodorescu, D. Racoceanu, N. Smit, V. I. Cretu, E. K. Tan, & L. L. Chan. (2010)

  In N. Karssemeijer & R. M. Summers (Eds.), Medical Imaging 2010: Computer-Aided Diagnosis (Vol. 7624, p. 762426)Presented at the SPIE Medical Imaging, SPIE.
• Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography

  A. Depeursinge, D. Racoceanu, J. Iavindrasana, G. Cohen, A. Platon, P. - A. Poletti, & H. Müller. (2010)

  Artificial Intelligence in Medicine, 50(1), 13–21.
• Medical Image Intelligent Access Integrated with Electronic Medical Records System for Brain Degenerative Disease

  M. - J. Su, P. - H. Cheng, S. - J. Chen, C. - Y. Yang, P. - K. Yip, D. Racoceanu, & H. - S. Che. (2010)

  In F. Balasa (Eds.), Data StorageInTech.
• 2009
• Emergent Behavior Control Patterns in Robotic Collectives

  R. - D. Cioarga, M. V. Micea, V. Cretu, & D. Racoceanu. (2009)

  (M. Xie, Y. Xiong, C. Xiong, H. Liu, & Z. Hu, Eds.) Intelligent Robotics and Applications (Vol. 5928, p. 165–173)Berlin, Heidelberg: Springer Berlin Heidelberg.
• Predictive modelling of the monitoring function. A predictive modelling application for fault states in a manufacturing system

  E. Minca, D. Racoceanu, O. Dragomir, V. Stefan, & F. Dragomir. (2009)

  In 2009 IEEE International Conference on Control and Automation (p. 1487–1492)Presented at the 2009 IEEE International Conference on Control and Automation (ICCA), IEEE.
• Spatial relationships over sparse representations

  N. Lomenie, & D. Racoceanu. (2009)

  In 2009 24th International Conference Image and Vision Computing New Zealand (p. 226–230)Presented at the 2009 24th International Conference Image and Vision Computing New Zealand (IVCNZ 2009), IEEE.
• A cognitive virtual microscopic framework for knowlege-based exploration of large microscopic images in breast cancer histopathology

  L. Roux, A. Tutac, N. Lomenie, D. Balensi, D. Racoceanu, A. Veillard, .... (2009)

  In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (p. 3697–3702)Presented at the 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE.
• A Cellular Neural Network as a Principal Component Analyzer

  C. - H. Haung, W. - K. Leow, & D. Racoceanu. (2009)

  In 2009 International Joint Conference on Neural Networks (p. 1163–1170)Presented at the 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta), IEEE.
• Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images

  W. Xiong, S. H. Ong, C. Kang, J. H. Lim, J. Liu, D. Racoceanu, & K. Foong. (2009)

  In 2009 2nd International Conference on Biomedical Engineering and Informatics (p. 1–5)Presented at the 2009 2nd International Conference on Biomedical Engineering and Informatics, IEEE.
• Toward translational incremental similarity-based reasoning in breast cancer grading

  A. E. Tutac, D. Racoceanu, W. - K. Leow, H. Müller, T. Putti, & V. Cretu. (2009)

  In N. Karssemeijer & M. L. Giger (Eds.), Medical Imaging 2009: Computer-Aided Diagnosis (Vol. 7260, p. 72603C)Presented at the SPIE Medical Imaging, SPIE.
• Nuclear pleomorphism scoring by selective cell nuclei detection

  J. - R. Dalle, H. Li, C. - H. Huang, W. K. Leow, D. Racoceanu, & T. C. Putti. (2009)

  In IEEE Workshop on Applications of Computer Vision (WACV 2009), 7-8 December, 2009, Snowbird, UT, USAIEEE Computer Society.
• 2008
• Ontology for fMRI as a Biomedical Informatics Method

  T. NAKAI, E. BAGARINAO, Y. TANAKA, K. MATSUO, & D. RACOCEANU. (2008)

  Magnetic Resonance in Medical Sciences, 7(3), 141–155.
• Automatic breast cancer grading of histopathological images

  J. - R. Dalle, W. K. Leow, D. Racoceanu, A. E. Tutac, & T. C. Putti. (2008)

  In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (p. 3052–3055)Presented at the 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE.
• Automatic working area classification in peripheral blood smears without cell central zone extraction

  W. Xiong, J. H. Lim, S. H. Ong, N. N. Tung, J. Liu, D. Racoceanu, .... (2008)

  In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (p. 4074–4077)Presented at the 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE.
• Automatic working area classification in peripheral blood smears using spatial distribution features across scales

  W. Xiong, S. H. Ong, J. H. Lim, N. N. Tung, J. Liu, D. Racoceanu, .... (2008)

  In 2008 19th International Conference on Pattern Recognition (p. 1–4)Presented at the 2008 19th International Conference on Pattern Recognition (ICPR), IEEE.
• The use of the medical ontology for a semantic-based fusion system in biomedical informatics Application to Alzheimer disease

  R. - O. Teodorescu, C. Cernazanu-Glavan, V. - I. Cretu, & D. Racoceanu. (2008)

  In 2008 4th International Conference on Intelligent Computer Communication and Processing (p. 265–268)Presented at the 2008 International Conference on Intelligent Computer Communication and Processing (ICCP), IEEE.
• Knowledge-Guided Semantic Indexing of Breast Cancer Histopathology Images

  A. E. Tutac, D. Racoceanu, T. Putti, W. Xiong, W. - K. Leow, & V. Cretu. (2008)

  In 2008 International Conference on BioMedical Engineering and Informatics (p. 107–112)Presented at the 2008 International Conference on Biomedical Engineering And Informatics (BMEI), IEEE.
• Knowledge-Guided Semantic Indexing of Breast Cancer Histopathology Images

  A. E. Tutac, D. Racoceanu, T. C. Putti, W. Xiong, W. K. Leow, & V. Cretu. (2008)

  In Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, BMEI 2008, May 28-30, 2008, Sanya, Hainan, China - Volume 2 (p. 107–112)IEEE Computer Society.
• Prospective Study for Semantic Inter-Media Fusion in Content-Based Medical Image Retrieval

  R. Teodorescu, D. Racoceanu, W. K. Leow, & V. Cretu. (2008)

  CoRR.
• 2007
• Finding Image Structure by Hierarchal Segmentation

  B. Qiu, & D. Racoceanu. (2007)

  In Multimedia and Expo, 2007 IEEE International Conference on (p. 1419–1422)Presented at the Multimedia and Expo, 2007 IEEE International Conference on, IEEE.
• A Preliminary Study of Medical Image Distributed Intelligent Access Integrated with Electronic Medical Records System for Brain Degenerative Disease

  M. - J. Su, H. - S. Chen, C. - Y. Yang, S. - J. Chen, W. - J. Lee, P. - H. Cheng, .... (2007)

  In 2007 9th International Conference on e-Health Networking, Application and Services (p. 19–23)Presented at the 2007 9th International Conference on e-Health Networking, Application and Services, IEEE.
• Inter-media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL

  C. Lacoste, J. - P. Chevallet, J. - H. Lim, D. T. H. Le, W. Xiong, D. Racoceanu, .... (2007)

  (C. Peters, P. Clough, F. C. Gey, J. Karlgren, B. Magnini, D. W. Oard, et al., Eds.) Evaluation of Multilingual and Multi-modal Information Retrieval (Vol. 4730, p. 694–701)Berlin, Heidelberg: Springer Berlin Heidelberg.
• Finding Image Structure by Hierarchal Segmentation

  B. Qiu, & D. Racoceanu. (2007)

  In Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007, July 2-5, 2007, Beijing, China (p. 1419–1422)IEEE.
• 2006
• Stripe: Image Feature Based on a New Grid Method and Its Application in ImageCLEF

  B. Qiu, D. Racoceanu, C. S. Xu, & Q. Tian. (2006)

  (H. T. Ng, M. - K. Leong, M. - Y. Kan, & D. Ji, Eds.) Information Retrieval Technology (Vol. 4182, p. 489–496)Berlin, Heidelberg: Springer Berlin Heidelberg.
• A Semantic Fusion Approach Between Medical Images and Reports Using UMLS

  D. Racoceanu, C. Lacoste, R. Teodorescu, & N. Vuillemenot. (2006)

  (H. T. Ng, M. - K. Leong, M. - Y. Kan, & D. Ji, Eds.) Information Retrieval Technology (Vol. 4182, p. 460–475)Berlin, Heidelberg: Springer Berlin Heidelberg.
• A neuro-fuzzy monitoring system

  N. Palluat, D. Racoceanu, & N. Zerhouni. (2006)

  Computers in Industry, 57(6), 528–538.
• 2005
• Overview on diagnosis methods using artificial intelligence application of fuzzy Petri nets

  M. Monnin, D. Racoceanu, & N. Zerhouni. (2005)

  In IEEE Conference on Robotics, Automation and Mechatronics, 2004. (Vol. 2, p. 740–745)Presented at the 2004 IEEE Conference on Robotics, Automation and Mechatronics, IEEE.
• Utilisation des réseaux de neurones temporels pour le pronostic et la surveillance dynamique. Etude comparative de trois réseaux de neurones récurrents

  N. Palluat, D. Racoceanu, & N. Zerhouni. (2005)

  Revue d'intelligence artificielle, 19(6), 913–950.
• Monitoring Approach Using Recurrent Radial Basis Function Neural Networks and Neuro-Fuzzy Systems

  D. Racoceanu, & N. Zerhouni. (2005)

  In 2005 International Conference on Neural Networks and Brain (Vol. 2, p. 678–682)Presented at the 2005 International Conference on Neural Networks and Brain, IEEE.
• 2004
• Overview on diagnosis methods using artificial intelligence application of fuzzy Petri nets

  M. Monnin, D. I. Racoceanu, & N. Zerhouni. (2004)

  In 2004 IEEE Conference on Robotics, Automation and Mechatronics, RAM 2004, December 1-3, 2004, Singapore (p. 740–745)IEEE.
• 2003
• Fuzzy Petri nets for monitoring and recovery

  D. Racoceanu, E. Minca, & N. Zerhouni. (2003)

  In 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422) (Vol. 3, p. 4318–4323)Presented at the IEEE International Conference on Robotics and Automation. IEEE ICRA 2003 Conference Proceedings, IEEE.
• Réseaux de neurones récurrents à fonctions de base radiales. Application à la surveillance dynamique

  R. Zemouri, D. Racoceanu, & N. Zerhouni. (2003)

  Journal Européen des Systèmes Automatisés, 37(1), 49–81.
• Fuzzy Petri nets for monitoring and recovery

  D. I. Racoceanu, E. Minca, & N. Zerhouni. (2003)

  In Proceedings of the 2003 IEEE International Conference on Robotics and Automation, ICRA 2003, September 14-19, 2003, Taipei, Taiwan (p. 4318–4323)IEEE.
• 2002
• From the spherical to an elliptic form of the dynamic RBF neural network influence field

  R. Zemouri, D. Racoceanu, & N. Zerhouni. (2002)

  In Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) (p. 107–112)Presented at the 2002 International Joint Conference on Neural Networks (IJCNN), IEEE.
• Modular modeling and analysis of a distributed production system with distant specialised maintenance

  D. Racoceanu, N. Zerhouni, & N. Addouche. (2002)

  In Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292) (Vol. 4, p. 4046–4052)Presented at the 2002 IEEE International Conference on Robotics and Automation, IEEE.
• Réseaux de neurones récurrents à fonctions de base radiales : RRFR Application au pronostic

  R. Zemouri, D. Racoceanu, & N. Zerhouni. (2002)

  Revue d'intelligence artificielle, 16(3), 307–338.
• Modular Modeling and Analysis of a Distributed Production System with Distant Specialised Maintenance

  D. I. Racoceanu, N. Zerhouni, & N. Addouche. (2002)

  In Proceedings of the 2002 IEEE International Conference on Robotics and Automation, ICRA 2002, May 11-15, 2002, Washington, DC, USA (p. 4046–4052)IEEE.
• 2001
• A Petri nets graphic method of reduction using birth-death processes

  R. Zemouri, D. Racoceanu, & N. Zerhouni. (2001)

  In Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164) (Vol. 1, p. 46–51)Presented at the 2001 ICRA. IEEE International Conference on Robotics and Automation, IEEE.
• The RRBF. Dynamic representation of time in radial basis function network

  R. A. Zemouri, D. Racoceanu, & N. Zerhouni. (2001)

  In Proceedings of 8th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2001, October 15-18, 2001, Antibes/Juan les Pins, France - Volume 2 (p. 737–740)IEEE.
• A Petri net Graphic Method of Reduction Using Birth-death Processes

  R. A. Zemouri, D. I. Racoceanu, & N. Zerhouni. (2001)

  In Proceedings of the 2001 IEEE International Conference on Robotics and Automation, ICRA 2001, May 21-26, 2001, Seoul, Korea (p. 46–51)IEEE.
• 1995
• On a new method of Markov chain reduction

  D. Racoceanu, A. Elmoudni, M. Ferney, & S. Zerhouni. (1995)

  Mathematical Modelling of Systems, 1(3), 199–229.
• 1994
• Use of an homographic transformation jointly to the singular perturbation for the resolution of Markov chains. Application to the operational safety study

  D. Racoceanu, A. El Moudni, M. Ferney, & S. Zerhouni. (1994)

  In Proceedings of the 1994 IEEE International Conference on Robotics and Automation (p. 3544–3549)Presented at the 1994 IEEE International Conference on Robotics and Automation, IEEE Comput. Soc. Press.
• Use of an homographic transformation jointly to the singular perturbation for the resolution of Markov chains: application to the operation safety study

  D. I. Racoceanu, A. E. Moudni, M. Ferney, & S. Zerhouni. (1994)

  In Proceedings of the 1994 International Conference on Robotics and Automation, San Diego, CA, USA, May 1994 (p. 3544–3549)IEEE Computer Society.