Machine learning models can automatically discover biomedical research trends and promote the dissemination of information and knowledge. Text feature representation is a critical and challenging task in natural language processing. Most methods of text feature representation are based on word representation. A good representation can capture semantic and structural information.
This thesis is concerned with investigating elements of computational social choice in the light of real-world applications. We contribute to a better understanding of the areas of fair allocation and multiwinner voting. For both areas, inspired by real-world scenarios, we propose several new notions and extensions of existing models. Then, we analyze the complexity of answering the computation…
With changes in technology and a renewed effort to catalog the world's biodiversity, huge amounts of data are being generated on biodiversity issues. As response to the call for better information systems to manage the biodiversity crisis, a wide range of solutions are being developed for inventorying, managing, and disseminating taxonomic data. This book brings together a diverse array of auth…
"Kebenaran tentang Gurun" mengeksplorasi kondisi kehidupan di mana pengungsi Tuareg dari Mali utara membangun kembali kehidupan mereka di diaspora Nigerien dan bagaimana kondisi ini mempengaruhi pemahaman diri dan praktik budaya mereka, hierarki status yang sudah ada, dan pembentukan identitas agama. Buku ini menyeimbangkan perhatian akademis sebelumnya terhadap bangsawan Tuareg dengan memfokus…
Directed connectivity between brain sources identified from scalp electroencephalography (EEG) can shed light on the brain’s information flows and provide a biomarker of neurological disorders. However, as volume conductance results in scalp activity being a mix of activities originating from multiple sources, the correct interpretation of their connectivity is a formidable challenge despi…
Missing data is a common occurrence in the time series domain, for instance due to faulty sensors, server downtime or patients not attending their scheduled appointments. One of the best methods to impute these missing values is Multiple Imputations by Chained Equations (MICE) which has the drawback that it can only model linear relationships among the variables in a multivariate time series
Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of application. In particular, its capability has expanded from unmixing data samples and detecting targets at the subpixel scale to finding endmembers, which generally cannot be resolved by multispectral imaging
This open-access book serves as a comprehensive guide for C++ programmers looking to master Threading Building Blocks (TBB). Authored by two experts in TBB and parallel programming, the book distills decades of collective experience in developing and teaching parallel programming concepts, presenting insights in a clear and accessible manner. Today’s TBB starts with foundational principles, …
Buku akses terbuka ini menyajikan hasil dari program prioritas DFG tentang Manajemen Data yang Dapat Diskalakan untuk Perangkat Keras Masa Depan. Buku ini merinci persyaratan dan solusi tentang bagaimana arsitektur perangkat keras modern dan masa depan dapat dimanfaatkan untuk mengatasi tantangan dalam manajemen data modern. Sembilan bab dalam buku ini menyajikan berbagai arsitektur manajemen d…
Buku ini merupakan kumpulan makalah yang telah direvisi dan diterima dari beberapa workshop yang diadakan bersamaan dengan Konferensi Internasional ke-6 tentang Penambangan Proses, ICPM 2024, yang diadakan di Lyngby, Denmark, selama bulan Oktober 2024. Sebanyak 56 makalah lengkap yang telah direvisi yang disajikan dalam buku ini telah ditinjau dan dipilih dengan cermat dari 126 kiriman. Makalah…