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Volumn 33, Issue , 2013, Pages 115-120

Strategies to face imbalanced and unlabelled data in PHM applications

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ENGINEERING; CHEMICAL OPERATIONS;

EID: 84883753458     PISSN: 22839216     EISSN: 22839216     Source Type: Journal    
DOI: 10.3303/CET1333020     Document Type: Conference Paper
Times cited : (19)

References (16)
  • 1
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    • Learning from partially supervised data using mixture models and belief functions
    • Côme E., Oukhellou L., Denoeux T., Aknin P., 2009, Learning from partially supervised data using mixture models and belief functions, Pattern Recognition, 42-3, 334-348.
    • (2009) Pattern Recognition , vol.42-43 , pp. 334-348
    • Côme, E.1    Oukhellou, L.2    Denoeux, T.3    Aknin, P.4
  • 3
    • 84870426604 scopus 로고    scopus 로고
    • Maximum likelihood estimation from uncertain data in the belief function framework
    • Denoeux T., 2013, Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework, IEEE Transactions on Knowledge Data Engineering, 25-1, 119-130.
    • (2013) IEEE Transactions on Knowledge Data Engineering , vol.25-31 , pp. 119-130
    • Denoeux, T.1
  • 4
    • 77954466692 scopus 로고    scopus 로고
    • A tutorial on nonlinear time-series data mining in engineering asset health and reliability prediction: Concepts, models, and algorithms
    • Dong M., 2010, A Tutorial on Nonlinear Time-Series Data Mining in Engineering Asset Health and Reliability Prediction: Concepts, Models, and Algorithms. Mathematical Problems in Engineering, 22 p.
    • (2010) Mathematical Problems in Engineering
    • Dong, M.1
  • 5
    • 79551492286 scopus 로고    scopus 로고
    • Reducing arbitrary choices in model building for prognostics: An approach by applying parsimomy on an evolving neuro-fuzzy system
    • El-Koujok M., Gouriveau R., Zerhouni N., 2011, Reducing arbitrary choices in model building for prognostics: an approach by applying parsimomy on an evolving neuro-fuzzy system. Journal of Microelectronics Reliability, 51-2, 310-320.
    • (2011) Journal of Microelectronics Reliability , vol.51-52 , pp. 310-320
    • El-Koujok, M.1    Gouriveau, R.2    Zerhouni, N.3
  • 9
    • 76849109288 scopus 로고    scopus 로고
    • A prognostics and health management roadmap for information and electronicsrich systems
    • Pecht M., Jaai R., 2010, A prognostics and health management roadmap for information and electronicsrich systems. Microelectronics Reliability, 50, 317-323.
    • (2010) Microelectronics Reliability , vol.50 , pp. 317-323
    • Pecht, M.1    Jaai, R.2
  • 10
    • 84905115160 scopus 로고    scopus 로고
    • Making use of partial knowledge about hidden states in hmms: An approach based on belief functions
    • in revision
    • Ramasso E., Denoeux T., 2013a, Making use of partial knowledge about hidden states in HMMs: an approach based on belief functions, IEEE Trans. On Fuzzy Systems, in revision.
    • (2013) IEEE Trans. On Fuzzy Systems
    • Ramasso, E.1    Denoeux, T.2
  • 11
    • 84995297431 scopus 로고    scopus 로고
    • Improved sequence prediction by markovian generative models using partial knowledge encoded by belief functions
    • Ramasso E., Denoeux T., 2013b, Improved sequence prediction by Markovian generative models using partial knowledge encoded by belief functions, In Int. Workshop on Partially Supervised Learning.
    • (2013) Int. Workshop on Partially Supervised Learning
    • Ramasso, E.1    Denoeux, T.2
  • 12
    • 84883826106 scopus 로고    scopus 로고
    • Rul estimation by classification of predictions: An approach based on a neuro-fuzzy system and theory of belief functions
    • in revision
    • Ramasso E., Gouriveau R., 2013, RUL estimation by classification of predictions: an approach based on a neuro-fuzzy system and theory of belief functions, IEEE Transactions on Reliability, in revision.
    • (2013) IEEE Transactions on Reliability
    • Ramasso, E.1    Gouriveau, R.2
  • 14
    • 84860214132 scopus 로고    scopus 로고
    • Evidential evolving gustafson-kessel algorithm for online data streams partitioning using belief function theory
    • Serir L., Ramasso E., Zerhouni N., 2012, Evidential Evolving Gustafson-Kessel Algorithm For Online Data Streams Partitioning Using Belief Function Theory, Int. Jou. Of Approximate Reasoning, 53-5, 747-768.
    • (2012) Int. Jou. Of Approximate Reasoning , vol.53-55 , pp. 747-768
    • Serir, L.1    Ramasso, E.2    Zerhouni, N.3
  • 15
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    • E2gkpro: An evidential evolving multi-modeling approach for system behavior prediction with applications
    • in proof
    • Serir L., Ramasso E., Nectoux P, Zerhouni N., 2013, E2GKpro: An evidential evolving multi-modeling approach for system behavior prediction with applications, Mechanical Systems and Signal Processing, in proof.
    • (2013) Mechanical Systems and Signal Processing
    • Serir, L.1    Ramasso, E.2    Nectoux, P.3    Zerhouni, N.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.