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Crasnier, Fabrice
17  results:
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1

Real-Time Learning of Power Consumption in Dynamic and Nois..:

, In: Computational Collective Intelligence; Lecture Notes in Computer Science,
Crasnier, Fabrice ; Georgé, Jean-Pierre ; Gleizes, Marie-Pierre - p. 443-454 , 2019
Link: https://doi.org/10.1007/..
 
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2

Real-Time Learning of Power Consumption in Dynamic and Nois..:

Crasnier, Fabrice ; Georgé, Jean-Pierre ; Gleizes, Marie-Pierre
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-28374-2_38.  , 2019
Link: https://hal.science/hal-..
 
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3

Real-Time Learning of Power Consumption in Dynamic and Nois..:

Crasnier, Fabrice ; Georgé, Jean-Pierre ; Gleizes, Marie-Pierre
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-28374-2_38.  , 2019
Link: https://hal.science/hal-..
 
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4

Real-Time Learning of Power Consumption in Dynamic and Nois..:

Crasnier, Fabrice ; Georgé, Jean-Pierre ; Gleizes, Marie-Pierre
hal-02397445.  , 2019
Link: https://hal.archives-ouv..
 
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5

Real-Time Learning of Power Consumption in Dynamic and Nois..:

Crasnier, Fabrice ; Georgé, Jean-Pierre ; Gleizes, Marie-Pierre
https://oatao.univ-toulouse.fr/25038/1/crasnier_25038.pdf.  , 2019
Link: https://oatao.univ-toulo..
 
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6

AMAK - A Framework for Developing Robust and Open Adaptive ..:

Perles, Alexandre ; Crasnier, Fabrice ; Georgé, Jean-Pierre
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-94779-2_40.  , 2018
Link: https://hal.science/hal-..
 
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7

AMAK - A Framework for Developing Robust and Open Adaptive ..:

Perles, Alexandre ; Crasnier, Fabrice ; Georgé, Jean-Pierre
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-94779-2_40.  , 2018
Link: https://hal.science/hal-..
 
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8

AMAK - A Framework for Developing Robust and Open Adaptive ..:

Perles, Alexandre ; Crasnier, Fabrice ; Georgé, Jean-Pierre
https://oatao.univ-toulouse.fr/22479/1/perles_22479.pdf.  , 2018
Link: https://oatao.univ-toulo..
 
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9

AMAK - A Framework for Developing Robust and Open Adaptive ..:

Perles, Alexandre ; Crasnier, Fabrice ; Georgé, Jean-Pierre
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-94779-2_40.  , 2018
Link: https://hal.archives-ouv..
 
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10

Use Cases of Pervasive Artificial Intelligence for Smart Ci..:

Nigon, Julien ; Glize, Estèle ; Dupas, David..
hal-01484992.  , 2016
Link: https://hal.science/hal-..
 
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11

Use Cases of Pervasive Artificial Intelligence for Smart Ci..:

Nigon, Julien ; Glize, Estèle ; Dupas, David..
hal-01484992.  , 2016
Link: https://hal.science/hal-..
 
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12

Use Cases of Pervasive Artificial Intelligence for Smart Ci..:

Nigon, Julien ; Glize, Estèle ; Dupas, David..
https://oatao.univ-toulouse.fr/17122/1/nigon_17122.pdf.  , 2016
Link: https://oatao.univ-toulo..
 
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13

Use Cases of Pervasive Artificial Intelligence for Smart Ci..:

Nigon, Julien ; Glize, Estèle ; Dupas, David..
hal-01484992.  , 2016
Link: https://hal.archives-ouv..
 
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14

Non‐uniform sampling to enhance the performance of compact ..:

Castaing‐Cordier, Thomas ; Crasnier, Sélina ; Dubois, Damien...
Magnetic Resonance in Chemistry.  , 2023
Link: https://doi.org/10.1002/..
 
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15

Non-Uniform Sampling to enhance the performance of compact ..:

Castaing-Cordier, Thomas ; Crasnier, Sélina ; Dubois, Damien...
info:eu-repo/semantics/altIdentifier/doi/10.1002/mrc.5416.  , 2024
Link: https://hal.science/hal-..
 
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