Show simple item record

dc.contributor.editorHajian, Aram
dc.contributor.editorBaloian, Nelson
dc.date.accessioned2025-01-17T05:30:55Z
dc.date.available2025-01-17T05:30:55Z
dc.date.issued2022
dc.identifier.urihttps://0-library-oapen-org.catalogue.libraries.london.ac.uk/handle/20.500.12657/97300
dc.description.abstractIn October 2024, researchers, students, and practitioners from Armenia, Chile, Germany, and Japan met at the American University of Armenia for the fourth edition of the Cadassca Workshop on Collaborative Technologies and Data Science in Smart City Applications. This book presents their contributions to emerging methodologies in data science, machine learning, applied and human-centered computing.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science
dc.subject.otherComputers
dc.subject.otherComputer Science
dc.titleData Science and Reliable Machine Learning
dc.typebook
oapen.identifier.doi10.30819/5855
oapen.relation.isPublishedBy1059eef5-b798-421c-b07f-c6a304d3aec8
oapen.relation.isFundedByb818ba9d-2dd9-4fd7-a364-7f305aef7ee9
oapen.collectionKnowledge Unlatched (KU)
oapen.imprintLogos Verlag Berlin
oapen.identifierhttps://openresearchlibrary.org/viewer/a24d23ee-85d1-4296-96e5-494950ab7807
grantor.numbera24d23ee-85d1-4296-96e5-494950ab7807


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record