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A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment
Li Y.-F., Pedroni N., Zio E.
IEEE Transactions on Power Systems (2013) 1-10 [hal-00777057 - version 1]

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Preference Articulation by Means of the R2 Indicator
Wagner T., Trautmann H., Brockhoff D.
Evolutionary Multi-criterion Optimization (EMO 2013), Royaume-Uni (2013) [hal-00807867 - version 1]

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NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment
Ak R., Li Y.-F., Vitelli V., Zio E.
Expert Systems with Applications 40, 4 (2013) 1205-1212 [hal-00734441 - version 1]

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Non-Dominated Sorting Binary Differential Evolution for the Multi-Objective Optimization of Cascading Failures Protection in Complex Networks
Li Y.-F., Sansavini G., Zio E.
Reliability Engineering and System Safety 111 (2013) 195-205 [hal-00750045 - version 1]

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Layer-wise learning of deep generative models
Arnold L., Ollivier Y.
[hal-00794302 - version 1] (25/02/2013)

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An Adaptive Incremental Clustering Method Based on the Growing Neural Gas Algorithm
Bouguelia M.-R., Belaïd Y., Belaïd A.
ICPRAM - 2nd International Conference on Pattern Recognition Applications and Methods - 2013, Espagne (2013) [hal-00794354 - version 1]

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Semi-physical neural modeling for linear signal restoration
Bourgois L., Roussel G., Benjelloun M.
Neural Networks 38 (2013) 90-101 [hal-00770907 - version 1]

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Comprendre les réseaux cérébraux
Alexandre F.
Rapport de recherche (2013) 21 [hal-00783331 - version 1]

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Gated Autoencoders with Tied Input Weights
Droniou A., Sigaud O.
Dans International Conference on Machine Learning - International Conference on Machine Learning, États-Unis (2013) [hal-00817035 - version 1]

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Efficient online bootstrapping of sensory representations
Gepperth A.
Neural Networks (2012) [hal-00763660 - version 1]


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