Results 11 to 20 of about 13,330,477 (323)
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting [PDF]
AAAI Conference on Artificial Intelligence, 2020 Many real-world applications require the prediction of long sequence time-series, such as electricity consumption planning. Long sequence time-series forecasting (LSTF) demands a high prediction capacity of the model, which is the ability to capture ...
Haoyi Zhou +6 more
semanticscholar +1 more source
Genetic studies to determine the risk of non-ischemic sudden death: review article
Revista de la Facultad de Medicina Humana, 2022 Heart disease is the cause of sudden death in more than 80% of cases. Ischemic heart disease is the cause for 90% of all sudden cardiac deaths, while in the remaining 10% of cases, heart diseases have a hereditary origin and comprise a wide spectrum of ...
María del Carmen Castro-Mujica +3 more
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Communications Biology, 2023 The founder population of Newfoundland and Labrador (NL) is a unique genetic resource, in part due to its geographic and cultural isolation, where historical records describe a migration of European settlers, primarily from Ireland and England, to NL in ...
Edmund Gilbert +17 more
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A Method of Conversation Analysis in Narrative and Historical Texts [PDF]
مطالعات زبانی و بلاغی, 2021 Conversational analysis is a field in discourse and researchers in this field have proposed methods for conversation analysis that are not comprehensive for all types of texts.
Leila Nowruzpur +2 more
doaj +1 more source
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 We present BART, a denoising autoencoder for pretraining sequence-to-sequence models. BART is trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.
M. Lewis +7 more
semanticscholar +1 more source
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers [PDF]
Computer Vision and Pattern Recognition, 2020 Most recent semantic segmentation methods adopt a fully-convolutional network (FCN) with an encoder-decoder architecture. The encoder progressively reduces the spatial resolution and learns more abstract/semantic visual concepts with larger receptive ...
Sixiao Zheng +10 more
semanticscholar +1 more source
Mathematics, 2022 Given an n-element point set in the plane, in how many ways can it be peeled off until no point remains? Only one extreme point can be removed at a time. The answer obviously depends on the point set. If the points are in convex position, there are exactly n! ways, which is the maximum number of ways for n points. But what is the minimum number?
Adrian Dumitrescu, Géza Tóth
openaire +6 more sources
Theranostic applications of multifunctional carbon nanomaterials
View, 2023 Nanobiotechnology is one of the leading research areas in biomedical science, developing rapidly worldwide. Among various types of nanoparticles, carbon nanomaterials (CNMs) have attracted a great deal of attention from the scientific community ...
Shima Masoudi Asil +18 more
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Encyclopedia of Bioinformatics and Computational Biology, 2020 This chapter explores sequence analysis (SA), which conceives the social world as happening in processes, in series of events experienced by social entities. SA refers to a set of tools used to summarize, represent, and compare sequences — i.e.
Andrey D. Prjibelski +2 more
semanticscholar +1 more source
Strainberry: automated strain separation in low-complexity metagenomes using long reads
Nature Communications, 2021 Existing long-read de novo assembly methods can partially, but not completely, separate strains. Here, the authors develop Strainberry, a metagenome assembly bioinformatic pipeline that exclusively uses longread data to accurately separate and ...
Riccardo Vicedomini +3 more
doaj +1 more source