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Kunstmann, Liliane
21  Ergebnisse:
Personensuche X
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1

DLProv: A Data-Centric Support for Deep Learning Workflow A..:

, In: Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning,
Pina, Débora ; Chapman, Adriane ; Kunstmann, Liliane.. - p. 77-85 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

PINNProv: Provenance for Physics-Informed Neural Networks:

, In: 2023 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW),
de Oliveira, Lyncoln S. ; Kunstmann, Liliane ; Pina, Debora.. - p. 16-23 , 2023
Link: https://doi.org/10.1109/..
 
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3

Provenance Supporting Hyperparameter Analysis in Deep Neura..:

, In: Lecture Notes in Computer Science; Provenance and Annotation of Data and Processes,
Pina, Débora ; Kunstmann, Liliane ; de Oliveira, Daniel.. - p. 20-38 , 2021
Link: https://doi.org/10.1007/..
 
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4

A workflow for seismic imaging with quantified uncertainty:

Barbosa, Carlos H.S. ; Kunstmann, Liliane N.O. ; Silva, Rômulo M....
Computers & Geosciences.  145 (2020)  - p. 104615 , 2020
Link: https://doi.org/10.1016/..
 
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5

Online Deep Learning Hyperparameter Tuning based on Provena..:

Kunstmann, Liliane ; Pina, Débora ; Silva, Filipe...
info:eu-repo/semantics/altIdentifier/doi/10.5753/jidm.2021.1924.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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6

Capturing Provenance to Improve the Model Training of PINNs..:

Silva, Rômulo, M ; Pina, Débora ; Kunstmann, Liliane...
lirmm-03443548.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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7

Provenance Supporting Hyperparameter Analysis in Deep Neura..:

Pina, Débora ; Kunstmann, Liliane ; de Oliveira, Daniel..
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-80960-7_2.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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8

Provenance Supporting Hyperparameter Analysis in Deep Neura..:

Pina, Débora ; Kunstmann, Liliane ; de Oliveira, Daniel..
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-80960-7_2.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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9

Capturing Provenance to Improve the Model Training of PINNs..:

Silva, Rômulo, M ; Pina, Débora ; Kunstmann, Liliane...
lirmm-03443548.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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10

Provenance Supporting Hyperparameter Analysis in Deep Neura..:

Pina, Débora ; Kunstmann, Liliane ; de Oliveira, Daniel..
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-80960-7_2.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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11

Online Deep Learning Hyperparameter Tuning based on Provena..:

Kunstmann, Liliane ; Pina, Débora ; Silva, Filipe...
info:eu-repo/semantics/altIdentifier/doi/10.5753/jidm.2021.1924.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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12

Capturing Provenance to Improve the Model Training of PINNs..:

Silva, Rômulo ; Pina, Débora ; Kunstmann, Liliane...
lirmm-03443548.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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13

Provenance Supporting Hyperparameter Analysis in Deep Neura..:

Pina, Débora ; Kunstmann, Liliane ; De Oliveira, Daniel..
lirmm-03324873.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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14

Online Deep Learning Hyperparameter Tuning based on Provena..:

Kunstmann, Liliane ; Pina, Débora ; Silva, Filipe...
info:eu-repo/semantics/altIdentifier/doi/10.5753/jidm.2021.1924.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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15

Capturing Provenance to Improve the Model Training of PINNs..:

Silva, Rômulo, M ; Pina, Débora ; Kunstmann, Liliane...
lirmm-03443548.  , 2021
Link: https://hal-lirmm.ccsd.c..
 
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