A Scalable Framework for Multimedia Knowledge Management. - Yves Raimond; Samer A. Abdallah; Mark B. Sandler; Mounia Lalmas (SAMT, 2006)

The Music Ontology. - Yves Raimond; Samer A. Abdallah; Mark B. Sandler; Frederick Giasson (ISMIR, 2007)

A distributed data space for music-related information. - Yves Raimond; Christopher Sutton; Mark B. Sandler (MS, 2007)

A Web of Musical Information. - Yves Raimond; Mark B. Sandler (ISMIR, 2008)

Combining Social Music and Semantic Web for Music-related Recommender Systems. - Alexandre Passant; Yves Raimond (SDoW@ISWC, 2008)

Building Linked Data For Both Humans and Machines. - Wolfgang Halb; Yves Raimond; Michael Hausenblas (LDOW, 2008)

Automatic Interlinking of Music Datasets on the Semantic Web. - Yves Raimond; Christopher Sutton; Mark B. Sandler (LDOW, 2008)

ZemPod: A semantic web approach to podcasting. - Òscar Celma; Yves Raimond (J. Web Semant., 2008)

SCOVO: Using Statistics on the Web of Data. - Michael Hausenblas; Wolfgang Halb; Yves Raimond; Lee Feigenbaum; Danny Ayers (ESWC, 2009)

Media Meets Semantic Web - How the BBC Uses DBpedia and Linked Data to Make Connections. - Georgi Kobilarov; Tom Scott; Yves Raimond; Silver Oliver; Chris Sizemore; Michael Smethurst; Christian Bizer; Robert Lee (ESWC, 2009)

An Ecosystem for Transparent Music Similarity in an Open World. - Kurt Jacobson; Yves Raimond; Mark B. Sandler (ISMIR, 2009)

Interlinking Multimedia: How to Apply Linked Data Principles to Multimedia Fragments. - Michael Hausenblas; Raphaël Troncy; Tobias Bürger; Yves Raimond (LDOW, 2009)

Interlinking Music-Related Data on the Web. - Yves Raimond; Christopher Sutton; Mark B. Sandler (IEEE Multim., 2009)

Use of Semantic Web technologies on the BBC Web Sites. - Yves Raimond; Tom Scott; Silver Oliver; Patrick Sinclair; Michael Smethurst (Linking Enterprise Data, 2010)

Use Case Scenarios. - Werner Bailer; Susanne Boll; Òscar Celma; Michael Hausenblas; Yves Raimond (Multimedia Semantics, 2011)

Evaluation of the Music Ontology Framework. - Yves Raimond; Mark B. Sandler (ESWC, 2012)

Automated interlinking of speech radio archives. - Yves Raimond; Chris Lowis (LDOW, 2012)

Automated semantic tagging of speech audio. - Yves Raimond; Chris Lowis; Roderick Hodgson; Jonathan Tweed (WWW (Companion Volume), 2012)

Using the Past to Explain the Present: Interlinking Current Affairs with Archives via the Semantic Web. - Yves Raimond; Michael Smethurst; Andrew McParland; Christopher Lowis (ISWC (2), 2013)

Recent advances in affective and semantic media applications at the BBC. - Jana Eggink; Yves Raimond (WIAMIS, 2013)

Identifying contributors in the BBC world service archive. - Yves Raimond; Thomas Nixon (INTERSPEECH, 2014)

The BBC World Service Archive prototype. - Yves Raimond; Tristan Ferne; Michael Smethurst; Gareth Adams (J. Web Semant., 2014)

Recommending for the World. - Justin Basilico; Yves Raimond (RecSys, 2016)

Déjà Vu: The Importance of Time and Causality in Recommender Systems. - Justin Basilico; Yves Raimond (RecSys, 2017)

REVEAL 2018: offline evaluation for recommender systems. - Thorsten Joachims; Adith Swaminathan; Yves Raimond; Olivier Koch; Flavian Vasile (RecSys, 2018)

REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation. - Thorsten Joachims; Maria Dimakopoulou; Adith Swaminathan; Yves Raimond; Olivier Koch; Flavian Vasile (RecSys, 2019)

Gradient Boosted Decision Tree Neural Network. - Mohammad Saberian; Pablo Delgado; Yves Raimond (CoRR, 2019)

REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. - Thorsten Joachims; Yves Raimond; Olivier Koch; Maria Dimakopoulou; Flavian Vasile; Adith Swaminathan (RecSys, 2020)

Developing a Recommendation Benchmark for MLPerf Training and Inference. - Carole-Jean Wu; Robin Burke; Ed H. Chi; Joseph A. Konstan; Julian J. McAuley; Yves Raimond; Hao Zhang (CoRR, 2020)

Accordion: A Trainable Simulator forLong-Term Interactive Systems. - James McInerney; Ehtsham Elahi; Justin Basilico; Yves Raimond; Tony Jebara (RecSys, 2021)

Beta Survival Models. - David Hubbard; Benoit Rostykus; Yves Raimond; Tony Jebara (SPACA, 2021)

Deep Learning for Recommender Systems: A Netflix Case Study. - Harald Steck; Linas Baltrunas; Ehtsham Elahi; Dawen Liang; Yves Raimond; Justin Basilico (AI Mag., 2021)

REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. - Richard Liaw; Paige Bailey; Ying Li; Maria Dimakopoulou; Yves Raimond (RecSys, 2022)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. - Gheorghe Comanici; Eric Bieber; Mike Schaekermann; Ice Pasupat; Noveen Sachdeva; Inderjit S. Dhillon; Marcel Blistein; Ori Ram; Dan Zhang; Evan Rosen; Luke Marris; Sam Petulla; et al. (CoRR, 2025)