Towards Instrument Segmentation for Music Content Description: a Critical Review of Instrument Classification Techniques. - Perfecto Herrera-Boyer; Xavier Amatriain; Eloi Batlle; Xavier Serra (ISMIR, 2000)

CLAM, yet another library for audio and music processing? - Xavier Amatriain; Pau Arumí; Miguel Ramírez (OOPSLA Companion, 2002)

CLAM: an OO framework for developing audio and music applications. - Xavier Amatriain; Maarten de Boer; Enrique Robledo; David García (OOPSLA Companion, 2002)

Developing Cross-Platform audio and Music Applications with the CLAM Framework. - Xavier Amatriain; Pau Arumí (ICMC, 2005)

The CLAM Annotator: A Cross-Platform Audio Descriptors Editing Tool. - Xavier Amatriain; Jordi Massaguer; David García; Ismael Mosquera (ISMIR, 2005)

An Object-oriented metamodel for digital signal processing with a focus on audio and music. - Xavier Amatriain (2005)

Metamodels and Design Patterns in CSL4. - Stephen Travis Pope; Xavier Amatriain; Lance Putnam; Jorge Castellanos; Ryan Avery (ICMC, 2006)

CLAM: a framework for efficient and rapid development of cross-platform audio applications. - Xavier Amatriain; Pau Arumí; David García (ACM Multimedia, 2006)

Experiencing Audio and Music in a Fully Immersive Environment. - Xavier Amatriain; Jorge Castellanos; Tobias Höllerer; JoAnn Kuchera-Morin; Stephen Travis Pope; Graham Wakefield; Will Wolcott (CMMR, 2007)

Immersive audio and Music in the AlloSphere. - Xavier Amatriain; Tobias Höllerer; JoAnn Kuchera-Morin; Stephen Travis Pope (ICMC, 2007)

Data jockey, a Tool for Meta-Data Enhanced Digital DJing and Active listening. - Alex Norman; Xavier Amatriain (ICMC, 2007)

The allosphere: a large-scale immersive surround-view instrument. - Tobias Höllerer; JoAnn Kuchera-Morin; Xavier Amatriain (EDT, 2007)

CLAM: A Framework for Audio and Music Application Development. - Xavier Amatriain (IEEE Softw., 2007)

A Domain-Specific Metamodel for Multimedia Processing Systems. - Xavier Amatriain (IEEE Trans. Multim., 2007)

Watching television over an IP network. - Meeyoung Cha; Pablo Rodriguez 001; Jon Crowcroft; Sue B. Moon; Xavier Amatriain (Internet Measurement Conference, 2008)

A framework for efficient and rapid development of cross-platform audio applications. - Xavier Amatriain; Pau Arumí; David García (Multim. Syst., 2008)

Collaborative Filtering With Adaptive Information Sources (Short Paper). - Neal Lathia; Xavier Amatriain; Josep M. Pujol (ITWP, 2009)

Rate it again: increasing recommendation accuracy by user re-rating. - Xavier Amatriain; Josep M. Pujol; Nava Tintarev; Nuria Oliver (RecSys, 2009)

The wisdom of the few: a collaborative filtering approach based on expert opinions from the web. - Xavier Amatriain; Neal Lathia; Josep M. Pujol; Haewoon Kwak; Nuria Oliver (SIGIR, 2009)

I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems. - Xavier Amatriain; Josep M. Pujol; Nuria Oliver (UMAP, 2009)

The AlloSphere: Immersive Multimedia for Scientific Discovery and Artistic Exploration. - Xavier Amatriain; JoAnn Kuchera-Morin; Tobias Höllerer; Stephen Travis Pope (IEEE Multim., 2009)

Off the beaten track: a mobile field study exploring the long tail of tourist recommendations. - Nava Tintarev; Ana Flores; Xavier Amatriain (Mobile HCI, 2010)

Geolocated movie recommendations based on expert collaborative filtering. - Josep Bachs Barrio; Xavier Amatriain Rubio (RecSys, 2010)

Music recommendations with temporal context awareness. - Toni Cebrián; Marc Planagumà; Paulo Villegas; Xavier Amatriain (RecSys, 2010)

Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. - Alexandros Karatzoglou; Xavier Amatriain; Linas Baltrunas; Nuria Oliver (RecSys, 2010)

Temporal diversity in recommender systems. - Neal Lathia; Stephen Hailes; Licia Capra; Xavier Amatriain (SIGIR, 2010)

Towards Fully Distributed and Privacy-Preserving Recommendations via Expert Collaborative Filtering and RESTful Linked Data. - Jae-wook Ahn; Xavier Amatriain (Web Intelligence, 2010)

Walk the Talk - Analyzing the Relation between Implicit and Explicit Feedback for Preference Elicitation. - Denis Parra; Xavier Amatriain (UMAP, 2011)

Frameworks Generate Domain-Specific Languages: A Case Study in the Multimedia Domain. - Xavier Amatriain; Pau Arumí (IEEE Trans. Software Eng., 2011)

Data Mining Methods for Recommender Systems. - Xavier Amatriain; Alejandro Jaimes; Nuria Oliver; Josep M. Pujol (Recommender Systems Handbook, 2011)

Building industrial-scale real-world recommender systems. - Xavier Amatriain (RecSys, 2012)

Workshop on recommendation utility evaluation: beyond RMSE - RUE 2012. - Xavier Amatriain; Pablo Castells; Arjen P. de Vries; Christian Posse (RecSys, 2012)

Mining large streams of user data for personalized recommendations. - Xavier Amatriain (SIGKDD Explor., 2012)

Beyond data: from user information to business value through personalized recommendations and consumer science. - Xavier Amatriain (CIKM, 2013)

Big & personal: data and models behind netflix recommendations. - Xavier Amatriain (BigMine, 2013)

The recommender problem revisited: morning tutorial. - Xavier Amatriain; Bamshad Mobasher (KDD, 2014)

The recommender problem revisited. - Xavier Amatriain (RecSys, 2014)

Recommender Systems in Industry: A Netflix Case Study. - Xavier Amatriain; Justin Basilico (Recommender Systems Handbook, 2015)

Data Mining Methods for Recommender Systems. - Xavier Amatriain; Josep M. Pujol (Recommender Systems Handbook, 2015)

Past, Present, and Future of Recommender Systems: An Industry Perspective. - Xavier Amatriain (IUI, 2016)

Tutorial: Lessons Learned from Building Real-life Recommender Systems. - Xavier Amatriain; Deepak Agarwal (RecSys, 2016)

Past, Present, and Future of Recommender Systems: An Industry Perspective. - Xavier Amatriain; Justin Basilico (RecSys, 2016)

Recommending the World's Knowledge: Application of Recommender Systems at Quora. - Lei Yang; Xavier Amatriain (RecSys, 2016)

Machine Learning for Q&A Sites: State of the Art and Research Directions. - Xavier Amatriain (WWW (Companion Volume), 2016)

Learning from the experts: From expert systems to machine-learned diagnosis models. - Murali Ravuri; Anitha Kannan; Geoffrey J. Tso; Xavier Amatriain (MLHC, 2018)

Prototypical Clustering Networks for Dermatological Disease Diagnosis. - Viraj Prabhu; Anitha Kannan; Murali Ravuri; Manish Chablani; David A. Sontag; Xavier Amatriain (CoRR, 2018)

Few-Shot Learning for Dermatological Disease Diagnosis. - Viraj Prabhu; Anitha Kannan; Murali Ravuri; Manish Chaplain; David A. Sontag; Xavier Amatriain (MLHC, 2019)

Open Set Medical Diagnosis. - Viraj Prabhu; Anitha Kannan; Geoffrey J. Tso; Namit Katariya; Manish Chablani; David A. Sontag; Xavier Amatriain (CoRR, 2019)

Classification As Decoder: Trading Flexibility For Control In Neural Dialogue. - Sam Shleifer; Manish Chablani; Namit Katariya; Anitha Kannan; Xavier Amatriain (CoRR, 2019)

Domain-Relevant Embeddings for Medical Question Similarity. - Clara McCreery; Namit Katariya; Anitha Kannan; Manish Chablani; Xavier Amatriain (CoRR, 2019)

Classification as Decoder: Trading Flexibility for Control in Medical Dialogue. - Sam Shleifer; Manish Chablani; Anitha Kannan; Namit Katariya; Xavier Amatriain (CoRR, 2019)

The accuracy vs. coverage trade-off in patient-facing diagnosis models. - Anitha Kannan; Jason Alan Fries; Eric Kramer; Jen Jen Chen; Nigam Shah; Xavier Amatriain (CoRR, 2019)

Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures. - Anirudh Joshi; Namit Katariya; Xavier Amatriain; Anitha Kannan (EMNLP (Findings), 2020)

Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs. - Clara H. McCreery; Namit Katariya; Anitha Kannan; Manish Chablani; Xavier Amatriain (KDD, 2020)

COVID-19 in differential diagnosis of online symptom assessments. - Anitha Kannan; Richard Chen; Vignesh Venkataraman; Geoffrey J. Tso; Xavier Amatriain (CoRR, 2020)

Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions. - Ali Mottaghi; Prathusha K. Sarma; Xavier Amatriain; Serena Yeung; Anitha Kannan (CoRR, 2020)

MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System. - Rhys Compton; Ilya Valmianski; Li Deng; Costa Huang; Namit Katariya; Xavier Amatriain; Anitha Kannan (ML4H@NeurIPS, 2021)

Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. - Bharath Chintagunta; Namit Katariya; Xavier Amatriain; Anitha Kannan (MLHC, 2021)

Adding more data does not always help: A study in medical conversation summarization with PEGASUS. - Varun Nair; Namit Katariya; Xavier Amatriain; Ilya Valmianski; Anitha Kannan (CoRR, 2021)

OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction. - Raymond Li; Ilya Valmianski; Li Deng; Xavier Amatriain; Anitha Kannan (ML4H@NeurIPS, 2022)

OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction. - Raymond Li; Ilya Valmianski; Li Deng; Xavier Amatriain; Anitha Kannan (CoRR, 2022)

Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue. - Maksim Eremeev; Ilya Valmianski; Xavier Amatriain; Anitha Kannan (ACL (1), 2023)

Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach. - Mengqian Wang; Ilya Valmianski; Xavier Amatriain; Anitha Kannan (MLHC, 2023)

Transformer models: an introduction and catalog. - Xavier Amatriain (CoRR, 2023)

Prompt Design and Engineering: Introduction and Advanced Methods. - Xavier Amatriain (CoRR, 2024)

Large Language Models: A Survey. - Shervin Minaee; Tomás Mikolov; Narjes Nikzad; Meysam Chenaghlu; Richard Socher; Xavier Amatriain; Jianfeng Gao 001 (CoRR, 2024)