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Galárraga, Luis
314  Ergebnisse:
Personensuche X
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1

Comparing machine-learning models of different levels of co..:

Gauriau, Olivier ; Galárraga, Luis ; Brun, François...
Smart Agricultural Technology.  7 (2024)  - p. 100380 , 2024
Link: https://doi.org/10.1016/..
 
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2

NPCS: Native Provenance Computation for SPARQL:

, In: Proceedings of the ACM on Web Conference 2024,
Asma, Zubaria ; Hernández, Daniel ; Galárraga, Luis... - p. 2085-2093 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Effects of Locality and Rule Language on Explanations for K..:

, In: Advances in Intelligent Data Analysis XXI; Lecture Notes in Computer Science,
Galárraga, Luis - p. 143-155 , 2023
Link: https://doi.org/10.1007/..
 
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4

Scaling Large RDF Archives To Very Long Histories:

, In: 2023 IEEE 17th International Conference on Semantic Computing (ICSC),
Pelgrin, Olivier ; Taelman, Ruben ; Galarraga, Luis. - p. 41-48 , 2023
Link: https://doi.org/10.1109/..
 
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5

Impressions and Strategies of Academic Advisors When Using ..:

, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems,
Méndez, Gonzalo Gabriel ; Galárraga, Luis ; Chiluiza, Katherine. - p. 1-18 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

GLENDA: Querying RDF Archives with Full SPARQL:

, In: Lecture Notes in Computer Science; The Semantic Web: ESWC 2023 Satellite Events,
Pelgrin, Olivier ; Taelman, Ruben ; Galárraga, Luis. - p. 75-80 , 2023
Link: https://doi.org/10.1007/..
 
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7

Visualizing How-Provenance Explanations for SPARQL Queries:

, In: Companion Proceedings of the ACM Web Conference 2023,
Galárraga, Luis ; Hernández, Daniel ; Katim, Anas. - p. 212-216 , 2023
Link: https://dl.acm.org/doi/1..
 
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8

When Should We Use Linear Explanations?:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Delaunay, Julien ; Galárraga, Luis ; Largouët, Christine - p. 355-364 , 2022
Link: https://dl.acm.org/doi/1..
 
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9

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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10

AIMLAI: Advances in Interpretable Machine Learning and Arti..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Bibal, Adrien ; Bouadi, Tassadit ; Frénay, Benoît.. - p. 5160 ff. , 2022
Link: https://dl.acm.org/doi/1..
 
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11

Machine Learning and Principles and Practice of Knowledge D.. 

Communications in Computer and Information Science, 1524
Kamp, Michael ; Koprinska, Irena ; Bibal, Adrien... - 1st ed. 2021 . , 2021
Link: https://doi.org/10.1007/..
 
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12

Machine Learning and Principles and Practice of Knowledge D.. 

Communications in Computer and Information Science, 1525
Kamp, Michael ; Koprinska, Irena ; Bibal, Adrien... - 1st ed. 2021 . , 2021
Link: https://doi.org/10.1007/..
 
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13

HiPaR: Hierarchical Pattern-Aided Regression:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Galárraga, Luis ; Pelgrin, Olivier ; Termier, Alexandre - p. 320-332 , 2021
Link: https://doi.org/10.1007/..
 
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14

Computing how-provenance for SPARQL queries via query rewri..:

Hernández, Daniel ; Galárraga, Luis ; Hose, Katja
Proceedings of the VLDB Endowment.  14 (2021)  13 - p. 3389-3401 , 2021
Link: https://doi.org/10.14778..
 
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15

Towards fully-fledged archiving for RDF datasets:

Pelgrin, Olivier ; Galárraga, Luis ; Hose, Katja...
Semantic Web.  12 (2021)  6 - p. 903-925 , 2021
Link: https://doi.org/10.3233/..
 
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