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P
Patrice Aknin
universite gustave-eiffel
15
H指数
128
论文数
1.0K
被引数
0
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14
发表时间
发表时间
IF
被引数
A new approach for the modelling of track geometry recording vehicles and the deconvolution of versine measurements
VEHICLE SYSTEM DYNAMICS
IF
3.9
2019-05-31
4
PRE
AI
Aknin, P; Chollet, H
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Time-frequency characterization of rail corrugation under a combined auto-regressive and matched filter scheme
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2012-05-01
13
PRE
AI
Hory, C.; Bouillaut, L.; Aknin, P.
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Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis
SOFT COMPUTING
IF
2.5
2011-10-16
29
PRE
AI
Cherfi, Zohra L.; Oukhellou, Latifa; Come, Etienne; Denoeux, Thierry; Aknin, Patrice
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Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints
PATTERN ANALYSIS AND APPLICATIONS
IF
2
2011-04-19
8
PRE
AI
Come, Etienne; Oukhellou, Latifa; Denoeux, Thierry; Aknin, Patrice
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Fuel cells static and dynamic characterizations as tools for the estimation of their ageing time
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
IF
8.3
2011-01-01
65
OA
AI
Onanena, R.; Oukhellou, L.; Candusso, D.; Harel, F.; Hissel, D.; Aknin, P.
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Estimation of fuel cell operating time for predictive maintenance strategies
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
IF
8.3
2010-08-01
34
OA
AI
Onanena, R.; Oukhellou, L.; Candusso, D.; Same, A.; Hissel, D.; Aknin, P.
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A hidden process regression model for functional data description. Application to curve discrimination
NEUROCOMPUTING
IF
6.5
2010-03-01
39
OA
AI
Chamroukhi, Faicel; Same, Allou; Govaert, Gerard; Aknin, Patrice
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A dynamic Bayesian network to represent discrete duration models
表示离散持续时间模型的动态贝叶斯网络
NEUROCOMPUTING
IF
6.5
2010-01-01
21
PRE
AI
Donat, Roland; Leray, Philippe; Bouillaut, Laurent; Aknin, Patrice
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Time series modeling by a regression approach based on a latent process
NEURAL NETWORKS
IF
6.3
2009-07-01
42
OA
AI
Chamroukhi, Faicel; Same, Allou; Govaert, Gerard; Aknin, Patrice
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Learning from partially supervised data using mixture models and belief functions
PATTERN RECOGNITION
IF
7.6
2009-03-01
94
OA
AI
Come, E.; Oukhellou, L.; Denoeux, T.; Aknin, P.
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Combined use of sensor data and structural knowledge processed by Bayesian network: Application to a railway diagnosis aid scheme
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
IF
7.9
2008-12-01
30
PRE
AI
Oukhellou, L.; Come, E.; Bouillaut, L.; Aknin, P.
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Hybrid training of radial basis function networks in a partitioning context of classification
NEUROCOMPUTING
IF
6.5
1999-10-01
6
PRE
AI
Oukhellou, L; Aknin, P
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Dedicated sensor and classifier of rail head defects
CONTROL ENGINEERING PRACTICE
IF
4.6
1999-01-01
22
PRE
AI
Oukhellou, L; Aknin, P; Perrin, JP
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Contribution of railway dynamics codes to the understanding of the metallurgical behavior of the rail tread
WEAR
IF
6.1
1996-01-01
6
PRE
AI
Aknin, P; Pascal, JP; Bettembourg, JPJ; Prasil, B
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研究方向
暂时未获取到该数据
合作学者
合作期刊
D
Daniel Hissel
H 指数: 69 · 论文数: 701
T
Thierry Denœux
H 指数: 55 · 论文数: 392
L
Latifa Oukhellou
H 指数: 27 · 论文数: 203
F
Fabien Harel
H 指数: 27 · 论文数: 149
G
Gérard Govaert
H 指数: 24 · 论文数: 150
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