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Luis Galárraga

Luis Antonio Galárraga – Luis Galárraga del Prado

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affiliation: Aalborg University, Department of Computer Science, Denmark
affiliation (PhD 2016): Télécom ParisTech, INFRES Department, Paris, France
affiliation: Saarland University, Saarbrücken, Germany

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2020 – today

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2024
[c32]
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Gwladys Kelodjou, Laurence Rozé, Véronique Masson, Luis Galárraga, Romaric Gaudel, Maurice Tchuenté, Alexandre Termier:
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection. AAAI 2024: 13094-13103
2023
[c31]
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Gonzalo Gabriel Méndez, Luis Galárraga, Katherine Chiluiza, Patricio Mendoza:
Impressions and Strategies of Academic Advisors When Using a Grade Prediction Tool During Term Planning. CHI 2023: 442:1-442:18
[c30]
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Olivier Pelgrin, Ruben Taelman, Luis Galárraga, Katja Hose:
GLENDA: Querying RDF Archives with Full SPARQL. ESWC (Satellite Events) 2023: 75-80
[c29]
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Luis Galárraga:
Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings. IDA 2023: 143-155
[c28]
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Olivier Pelgrin, Ruben Taelman, Luis Galárraga, Katja Hose:
The Need for Better RDF Archiving Benchmarks. QuWeDa/MEPDaW@ISWC 2023: 50-54
[c27]
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Olivier Pelgrin, Ruben Taelman, Luis Galárraga, Katja Hose:
Scaling Large RDF Archives To Very Long Histories. ICSC 2023: 41-48
[c26]
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Luis Galárraga, Daniel Hernández, Anas Katim, Katja Hose:
Visualizing How-Provenance Explanations for SPARQL Queries. WWW (Companion Volume) 2023: 212-216
[i9]
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  - journals/corr/abs-2302-06967
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Luis Galárraga:
Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings. CoRR abs/2302.06967 (2023)
[i8]
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Gwladys Kelodjou, Laurence Rozé, Véronique Masson, Luis Galárraga, Romaric Gaudel, Maurice Tchuenté, Alexandre Termier:
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection. CoRR abs/2312.12115 (2023)
2022
[c25]
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Julien Delaunay, Luis Galárraga, Christine Largouët:
When Should We Use Linear Explanations? CIKM 2022: 355-364
[c24]
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Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas:
AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. CIKM 2022: 5160
[c23]
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Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava:
s-LIME: Reconciling Locality and Fidelity in Linear Explanations. IDA 2022: 102-114
[i7]
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  - journals/corr/abs-2208-01510
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Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava:
s-LIME: Reconciling Locality and Fidelity in Linear Explanations. CoRR abs/2208.01510 (2022)
2021
[j3]
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Daniel Hernández, Luis Galárraga, Katja Hose:
Computing How-Provenance for SPARQL Queries via Query Rewriting. Proc. VLDB Endow. 14(13): 3389-3401 (2021)
[j2]
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Olivier Pelgrin, Luis Galárraga, Katja Hose:
Towards fully-fledged archiving for RDF datasets. Semantic Web 12(6): 903-925 (2021)
[c22]
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Gonzalo Méndez, Luis Galárraga, Katherine Chiluiza:
Showing Academic Performance Predictions during Term Planning: Effects on Students' Decisions, Behaviors, and Preferences. CHI 2021: 22:1-22:17
[c21]
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Erwan Bourrand, Luis Galárraga, Esther Galbrun, Élisa Fromont, Alexandre Termier:
Discovering Useful Compact Sets of Sequential Rules in a Long Sequence. ICTAI 2021: 1295-1299
[c20]
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Luis Galárraga, Olivier Pelgrin, Alexandre Termier:
HiPaR: Hierarchical Pattern-Aided Regression. PAKDD (1) 2021: 320-332
[c19]
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Olivier Pelgrin, Luis Galárraga, Katja Hose:
TrieDF: Efficient In-memory Indexing for Metadata-augmented RDF. MEPDaW@ISWC 2021: 20-29
[e2]
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Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents]
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Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents]
[i6]
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  - journals/corr/abs-2102-12370
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Luis Galárraga, Olivier Pelgrin, Alexandre Termier:
HiPaR: Hierarchical Pattern-aided Regression. CoRR abs/2102.12370 (2021)
[i5]
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  - journals/corr/abs-2104-00148
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Gonzalo Gabriel Méndez, Luis Galárraga, Katherine Chiluiza:
Showing Academic Performance Predictions during Term Planning: Effects on Students' Decisions, Behaviors, and Preferences. CoRR abs/2104.00148 (2021)
[i4]
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  - journals/corr/abs-2109-07519
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Erwan Bourrand, Luis Galárraga, Esther Galbrun, Élisa Fromont, Alexandre Termier:
Discovering Useful Compact Sets of Sequential Rules in a Long Sequence. CoRR abs/2109.07519 (2021)
2020
[c18]
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Julien Delaunay, Luis Galárraga, Christine Largouët:
Improving Anchor-based Explanations. CIKM 2020: 3269-3272
[c17]
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Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas:
AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. CIKM 2020: 3529-3530
[c16]
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Jaime Castells, Mohammad Poul Doust, Luis Galárraga, Gonzalo Gabriel Méndez, Margarita Ortiz-Rojas, Alberto Jiménez:
A Student-oriented Tool to Support Course Selection in Academic Counseling Sessions. LAUR@EC-TEL 2020: 48-57
[c15]
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  - conf/edbt/GalarragaDD20
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Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles:
REMI: Mining Intuitive Referring Expressions on Knowledge Bases. EDBT 2020: 387-390
[c14]
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  - conf/esws/LajusGS20
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Jonathan Lajus, Luis Galárraga, Fabian M. Suchanek:
Fast and Exact Rule Mining with AMIE 3. ESWC 2020: 36-52

2010 – 2019

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2019
[i3]
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  - journals/corr/abs-1911-01157
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Luis Galárraga, Julien Delaunay, Jean-Louis Dessalles:
REMI: Mining Intuitive Referring Expressions on Knowledge Bases. CoRR abs/1911.01157 (2019)
2018
[c13]
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Luis Galárraga, Kim Ahlstrøm Jakobsen, Katja Hose, Torben Bach Pedersen:
Answering Provenance-Aware Queries on RDF Data Cubes Under Memory Budgets. ISWC (1) 2018: 547-565
2017
[c12]
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Luis Galárraga, Kim Ahlstrøm Meyn Mathiassen, Katja Hose:
QBOAirbase: The European Air Quality Database as an RDF Cube. ISWC (Posters, Demos & Industry Tracks) 2017
[c11]
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Danai Symeonidou, Luis Galárraga, Nathalie Pernelle, Fatiha Saïs, Fabian M. Suchanek:
VICKEY: Mining Conditional Keys on Knowledge Bases. ISWC (1) 2017: 661-677
[c10]
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Luis Galárraga, Katja Hose, Simon Razniewski:
Enabling Completeness-aware Querying in SPARQL. WebDB 2017: 19-22
[c9]
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Luis Galárraga, Simon Razniewski, Antoine Amarilli, Fabian M. Suchanek:
Predicting Completeness in Knowledge Bases. WSDM 2017: 375-383
2016
[b1]
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Luis Galárraga del Prado:
Rule mining in knowledge bases. (Extraction des règles d'association dans des bases de connaissances). Télécom ParisTech, France, 2016
[i2]
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Luis Galárraga, Simon Razniewski, Antoine Amarilli, Fabian M. Suchanek:
Predicting Completeness in Knowledge Bases. CoRR abs/1612.05786 (2016)
2015
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Luis Galárraga, Christina Teflioudi, Katja Hose, Fabian M. Suchanek:
Fast rule mining in ontological knowledge bases with AMIE+. VLDB J. 24(6): 707-730 (2015)
[c8]
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Luis Galárraga, Danai Symeonidou, Jean-Claude Moissinac:
Rule Mining for Semantifying Wikilinks. LDOW@WWW 2015
2014
[c7]
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Antoine Amarilli, Luis Galárraga, Nicoleta Preda, Fabian M. Suchanek:
Recent Topics of Research around the YAGO Knowledge Base. APWeb 2014: 1-12
[c6]
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Luis Galárraga:
Applications of Rule Mining in Knowledge Bases. PIKM@CIKM 2014: 45-49
[c5]
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Luis Galárraga, Geremy Heitz, Kevin Murphy, Fabian M. Suchanek:
Canonicalizing Open Knowledge Bases. CIKM 2014: 1679-1688
[c4]
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Luis Galárraga, Katja Hose, Ralf Schenkel:
Partout: a distributed engine for efficient RDF processing. WWW (Companion Volume) 2014: 267-268
2013
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Luis Antonio Galárraga, Nicoleta Preda, Fabian M. Suchanek:
Mining rules to align knowledge bases. AKBC@CIKM 2013: 43-48
[c2]
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Luis Antonio Galárraga, Christina Teflioudi, Katja Hose, Fabian M. Suchanek:
AMIE: association rule mining under incomplete evidence in ontological knowledge bases. WWW 2013: 413-422
2012
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  - conf/iui/SonntagSRG12
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Daniel Sonntag, Christian Schulz, Christian Reuschling, Luis Galárraga:
RadSpeech's mobile dialogue system for radiologists. IUI 2012: 317-318
[i1]
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  - journals/corr/abs-1212-5636
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Luis Galárraga, Katja Hose, Ralf Schenkel:
Partout: A Distributed Engine for Efficient RDF Processing. CoRR abs/1212.5636 (2012)

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