Browse Items (24 total)

Buku ini merupakan cetakan ulang dari Edisi Khusus berjudul "Kecerdasan Buatan dalam Patologi Digital dan Radiologi Digital: Di Mana Kita?". Kecerdasan buatan meluas ke dunia radiologi digital dan patologi digital, dan melibatkan banyak akademisi di…

Buku akses terbuka ini memamerkan praktik inovatif metode Big Earth Data melalui kumpulan studi kasus global yang komprehensif untuk memantau dan mengevaluasi indikator untuk tujuh SDG, yaitu, nol kelaparan (SDG 2), air bersih dan sanitasi (SDG 6),…

Sejak kemunculannya, big data telah membawa kita pada bentuk-bentuk energi, teknologi, dan cara-cara pengorganisasian baru yang akan menghasilkan nilai-nilai yang lebih besar melalui persilangan, integrasi, keterbukaan, dan pembagian data. Meskipun…

Volume ini menyajikan prosiding konferensi bidt "Vectors of Data Disclosure" yang diselenggarakan di Munich 2022. Kontribusi tersebut memberikan wawasan interdisipliner dan komparatif mengenai berbagai faktor keputusan pengungkapan data –…

Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital…

This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com. It is funded by Trinity College Dublin, DARIAH-EU and the European Commission. This book explores the challenges society…

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of…

The legal domain distinguishes between different types of data and attaches a different level of protection to each of them. Thus, non-personal data are left largely unregulated, while privacy and data protection rules apply to personal data or…

This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning…

This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of…