RadSpeech's mobile dialogue system for radiologists. - Daniel Sonntag; Christian Schulz 009; Christian Reuschling; Luis Galárraga (IUI, 2012)

Mining rules to align knowledge bases. - Luis Antonio Galárraga; Nicoleta Preda; Fabian M. Suchanek (AKBC@CIKM, 2013)

AMIE: association rule mining under incomplete evidence in ontological knowledge bases. - Luis Antonio Galárraga; Christina Teflioudi; Katja Hose; Fabian M. Suchanek (WWW, 2013)

Recent Topics of Research around the YAGO Knowledge Base. - Antoine Amarilli; Luis Galárraga; Nicoleta Preda; Fabian M. Suchanek (APWeb, 2014)

Applications of Rule Mining in Knowledge Bases. - Luis Galárraga (PIKM@CIKM, 2014)

Canonicalizing Open Knowledge Bases. - Luis Galárraga; Geremy Heitz; Kevin Murphy 002; Fabian M. Suchanek (CIKM, 2014)

Partout: a distributed engine for efficient RDF processing. - Luis Galárraga; Katja Hose; Ralf Schenkel (WWW (Companion Volume), 2014)

Rule Mining for Semantifying Wikilinks. - Luis Galárraga; Danai Symeonidou; Jean-Claude Moissinac (LDOW@WWW, 2015)

Fast rule mining in ontological knowledge bases with AMIE+. - Luis Galárraga; Christina Teflioudi; Katja Hose; Fabian M. Suchanek (VLDB J., 2015)

Rule mining in knowledge bases. (Extraction des règles d'association dans des bases de connaissances). - Luis Galárraga del Prado (2016)

QBOAirbase: The European Air Quality Database as an RDF Cube. - Luis Galárraga; Kim Ahlstrøm Meyn Mathiassen; Katja Hose (ISWC (Posters, Demos & Industry Tracks), 2017)

VICKEY: Mining Conditional Keys on Knowledge Bases. - Danai Symeonidou; Luis Galárraga; Nathalie Pernelle; Fatiha Saïs; Fabian M. Suchanek (ISWC (1), 2017)

Enabling Completeness-aware Querying in SPARQL. - Luis Galárraga; Katja Hose; Simon Razniewski (WebDB, 2017)

Predicting Completeness in Knowledge Bases. - Luis Galárraga; Simon Razniewski; Antoine Amarilli; Fabian M. Suchanek (WSDM, 2017)

Answering Provenance-Aware Queries on RDF Data Cubes Under Memory Budgets. - Luis Galárraga; Kim Ahlstrøm Jakobsen; Katja Hose; Torben Bach Pedersen (ISWC (1), 2018)

AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. - Adrien Bibal; Tassadit Bouadi; Benoît Frénay; Luis Galárraga; José Oramas (CIKM, 2020)

Improving Anchor-based Explanations. - Julien Delaunay; Luis Galárraga; Christine Largouët (CIKM, 2020)

A Student-oriented Tool to Support Course Selection in Academic Counseling Sessions. - Jaime Castells; Mohammad Poul Doust; Luis Galárraga; Gonzalo Gabriel Méndez; Margarita Ortiz-Rojas; Alberto Jiménez (LAUR@EC-TEL, 2020)

REMI: Mining Intuitive Referring Expressions on Knowledge Bases. - Luis Galárraga; Julien Delaunay; Jean-Louis Dessalles (EDBT, 2020)

Fast and Exact Rule Mining with AMIE 3. - Jonathan Lajus; Luis Galárraga; Fabian M. Suchanek (ESWC, 2020)

Showing Academic Performance Predictions during Term Planning: Effects on Students' Decisions, Behaviors, and Preferences. - Gonzalo Méndez 002; Luis Galárraga; Katherine Chiluiza (CHI, 2021)

Discovering Useful Compact Sets of Sequential Rules in a Long Sequence. - Erwan Bourrand; Luis Galárraga; Esther Galbrun; Élisa Fromont; Alexandre Termier (ICTAI, 2021)

HiPaR: Hierarchical Pattern-Aided Regression. - Luis Galárraga; Olivier Pelgrin; Alexandre Termier (PAKDD (1), 2021)

TrieDF: Efficient In-memory Indexing for Metadata-augmented RDF. - Olivier Pelgrin; Luis Galárraga; Katja Hose (MEPDaW@ISWC, 2021)

Computing How-Provenance for SPARQL Queries via Query Rewriting. - Daniel Hernández 002; Luis Galárraga; Katja Hose (Proc. VLDB Endow., 2021)

Towards fully-fledged archiving for RDF datasets. - Olivier Pelgrin; Luis Galárraga; Katja Hose (Semantic Web, 2021)

AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. - Adrien Bibal; Tassadit Bouadi; Benoît Frénay; Luis Galárraga; José Oramas (CIKM, 2022)

When Should We Use Linear Explanations? - Julien Delaunay; Luis Galárraga; Christine Largouët (CIKM, 2022)

s-LIME: Reconciling Locality and Fidelity in Linear Explanations. - Romaric Gaudel; Luis Galárraga; Julien Delaunay; Laurence Rozé; Vaishnavi Bhargava (IDA, 2022)

Impressions and Strategies of Academic Advisors When Using a Grade Prediction Tool During Term Planning. - Gonzalo Gabriel Méndez; Luis Galárraga; Katherine Chiluiza; Patricio Mendoza (CHI, 2023)

GLENDA: Querying RDF Archives with Full SPARQL. - Olivier Pelgrin; Ruben Taelman; Luis Galárraga; Katja Hose (ESWC (Satellite Events), 2023)

Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings. - Luis Galárraga (IDA, 2023)

The Need for Better RDF Archiving Benchmarks. - Olivier Pelgrin; Ruben Taelman; Luis Galárraga; Katja Hose (QuWeDa/MEPDaW@ISWC, 2023)

Scaling Large RDF Archives To Very Long Histories. - Olivier Pelgrin; Ruben Taelman; Luis Galárraga; Katja Hose (ICSC, 2023)

Visualizing How-Provenance Explanations for SPARQL Queries. - Luis Galárraga; Daniel Hernández 002; Anas Katim; Katja Hose (WWW (Companion Volume), 2023)

Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection. - Gwladys Kelodjou; Laurence Rozé; Véronique Masson; Luis Galárraga; Romaric Gaudel; Maurice Tchuenté; Alexandre Termier (AAAI, 2024)

REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement Learning. - Rameez Qureshi; Naïm Es-Sebbani; Luis Galárraga; Yvette Graham; Miguel Couceiro; Zied Bouraoui (ECAI, 2024)

Trust in Artificial Intelligence: Beyond Interpretability. - Tassadit Bouadi; Benoît Frénay; Luis Galárraga; Pierre Geurts; Barbara Hammer; Gilles Perrouin (ESANN, 2024)

PyClause - Simple and Efficient Rule Handling for Knowledge Graphs. - Patrick Betz; Luis Galárraga; Simon Ott; Christian Meilicke; Fabian M. Suchanek; Heiner Stuckenschmidt (IJCAI, 2024)

NPCS: Native Provenance Computation for SPARQL. - Zubaria Asma; Daniel Hernández 002; Luis Galárraga; Giorgos Flouris; Irini Fundulaki; Katja Hose (WWW, 2024)

Does It Make Sense to Explain a Black Box With Another Black Box? - Julien Delaunay; Luis Galárraga; Christine Largouët (CoRR, 2024)

Neurosymbolic Methods for Rule Mining. - Agnieszka Lawrynowicz; Luis Galárraga; Mehwish Alam; Berenice Jaulmes; Vaclav Zeman; Tomás Kliegr (CoRR, 2024)

Code and benchmark for NPCS, a Native Provenance Computation for SPARQL. - Zubaria Asma; Daniel Hernández 002; Luis Galárraga; Giorgos Flouris; Irini Fundulaki; Katja Hose (DaRUS, 2024)

Impact of Explanation Techniques and Representations on Users' Comprehension and Confidence in Explainable AI. - Julien Delaunay; Luis Galárraga; Christine Largouët; Niels van Berkel (Proc. ACM Hum. Comput. Interact., 2025)

Whose Name Comes Up? Auditing LLM-Based Scholar Recommendations. - Daniele Barolo; Chiara Valentin; Fariba Karimi 001; Luis Galárraga; Gonzalo Méndez 002; Lisette Espín-Noboa (CoRR, 2025)