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Bhargava, Vaishnavi
22  results:
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1

s-LIME: Reconciling Locality and Fidelity in Linear Explana..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XX,
Gaudel, Romaric ; Galárraga, Luis ; Delaunay, Julien.. - p. 102-114 , 2022
Link: https://doi.org/10.1007/..
 
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2

Making ML Models Fairer Through Explanations: The Case of L..:

, In: Lecture Notes in Computer Science; Analysis of Images, Social Networks and Texts,
Alves, Guilherme ; Bhargava, Vaishnavi ; Couceiro, Miguel. - p. 3-18 , 2021
Link: https://doi.org/10.1007/..
 
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3

LimeOut: An Ensemble Approach to Improve Process Fairness:

, In: ECML PKDD 2020 Workshops; Communications in Computer and Information Science,
Bhargava, Vaishnavi ; Couceiro, Miguel ; Napoli, Amedeo - p. 475-491 , 2020
Link: https://doi.org/10.1007/..
 
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4

s-LIME: Reconciling Locality and Fidelity in Linear Explana..:

Gaudel, Romaric ; Galárraga, Luis ; Delaunay, Julien..
info:eu-repo/semantics/altIdentifier/arxiv/2208.01510.  , 2022
Link: https://inria.hal.scienc..
 
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5

s-LIME: Reconciling Locality and Fidelity in Linear Explana..:

Gaudel, Romaric ; Galárraga, Luis ; Delaunay, Julien..
http://arxiv.org/abs/2208.01510.  , 2022
Link: http://arxiv.org/abs/220..
 
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6

s-LIME: Reconciling Locality and Fidelity in Linear Explana..:

Gaudel, Romaric ; Galárraga, Luis ; Delaunay, Julien..
info:eu-repo/semantics/altIdentifier/arxiv/2208.01510.  , 2022
Link: https://inria.hal.scienc..
 
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7

s-LIME: Reconciling Locality and Fidelity in Linear Explana..:

Gaudel, Romaric ; Galárraga, Luis ; Delaunay, Julien..
info:eu-repo/semantics/altIdentifier/arxiv/2208.01510.  , 2022
Link: https://inria.hal.scienc..
 
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8

s-LIME: Reconciling Locality and Fidelity in Linear Explana..:

Gaudel, Romaric ; Galárraga, Luis ; Delaunay, Julien..
info:eu-repo/semantics/altIdentifier/arxiv/2208.01510.  , 2022
Link: https://inria.hal.scienc..
 
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9

s-LIME: Reconciling Locality and Fidelity in Linear Explana..:

Gaudel, Romaric ; Galárraga, Luis ; Delaunay, Julien..
info:eu-repo/semantics/altIdentifier/arxiv/2208.01510.  , 2022
Link: https://inria.hal.scienc..
 
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10

LimeOut: An Ensemble Approach To Improve Process Fairness:

Bhargava, Vaishnavi ; Couceiro, Miguel ; Napoli, Amedeo
info:eu-repo/grantAgreement//952215/EU/Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization/TAILOR.  , 2020
Link: https://hal.science/hal-..
 
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11

Making ML models fairer through explanations: the case of L..:

Alves, Guilherme ; Bhargava, Vaishnavi ; Couceiro, Miguel.
info:eu-repo/grantAgreement//952215/EU/Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization/TAILOR.  , 2020
Link: https://hal.science/hal-..
 
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12

FixOut: an ensemble approach to fairer models:

Alves, Guilherme ; Bhargava, Vaishnavi ; Bernier, Fabien..
info:eu-repo/grantAgreement//952215/EU/Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization/TAILOR.  , 2020
Link: https://hal.science/hal-..
 
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13

Making ML models fairer through explanations: the case of L..:

Alves, Guilherme ; Bhargava, Vaishnavi ; Couceiro, Miguel.
http://arxiv.org/abs/2011.00603.  , 2020
Link: http://arxiv.org/abs/201..
 
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14

Making ML models fairer through explanations: the case of L..:

Alves, Guilherme ; Bhargava, Vaishnavi ; Couceiro, Miguel.
info:eu-repo/grantAgreement//952215/EU/Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization/TAILOR.  , 2020
Link: https://hal.archives-ouv..
 
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15

FixOut: an ensemble approach to fairer models:

Alves, Guilherme ; Bhargava, Vaishnavi ; Bernier, Fabien..
info:eu-repo/grantAgreement//952215/EU/Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization/TAILOR.  , 2020
Link: https://hal.archives-ouv..
 
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