11. Using Sound Source Models to Organize Mixtures Ellis, Daniel P. W. 2007 Presentations (Communicative Events) Artificial intelligenceElectrical engineering
12. Using Natural Language Processing to Organize and Analyze Oral History Projects Pandza, Christopher 2023 Theses Oral historyNatural language processingArtificial intelligenceArchivesEmigration and immigration
13. Using mutual information to design feature combinations Ellis, Daniel P. W.; Bilmes, Jeff A. 2000 Articles Electrical engineeringArtificial intelligence
14. Using Mutual Information to design class-specific phone recognizers Scanlon, Patricia; Ellis, Daniel P. W.; Reilly, Richard 2003 Articles Electrical engineeringArtificial intelligence
15. Using Learned Source Models to Organize Sound Mixtures Ellis, Daniel P. W. 2006 Presentations (Communicative Events) Artificial intelligenceElectrical engineering
16. Using knowledge to organize sound: The prediction-driven approach to computational auditory scene analysis and its application to speech/nonspeech mixtures Ellis, Daniel P. W. 1999 Articles Artificial intelligenceMusic
17. Using acoustic condition clustering to improve acoustic change detection on broadcast news Lopez, Javier Ferreiros; Ellis, Daniel P. W. 2000 Articles Electrical engineeringArtificial intelligence
18. Unpacking the Caveats of ChatGPT in Education: Addressing Bias, Representation, Authorship, and Plagiarism Bowers, Alex J. 2023 Presentations (Communicative Events) EducationTeachingNatural language processing (Computer science)Artificial intelligenceAuthorship
19. Understanding Music Semantics and User Behavior with Probabilistic Latent Variable Models Liang, Dawen 2016 Theses Bayesian statistical decision theory--Industrial applicationsMusic and technologySemanticsInformation technologyRecommender systems (Information filtering)Bayesian statistical decision theoryArtificial intelligenceComputer science
20. Underconstrained stochastic representations for top-down computational auditory scene analysis Ellis, Daniel P. W. 1995 Articles Electrical engineeringArtificial intelligence