Results 1 to 10 of about 555,379 (343)
Frontiers in Medicine, 2022 ObjectiveTo report a preliminary experience of outpatient management of patients with Coronavirus disease 2019 (COVID-19) through an innovative approach of healthcare delivery.Patients and MethodsPatients evaluated at the Mild-to-Moderate COVID-19 ...
Rebecca De Lorenzo +23 more
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Speaker/Style-Dependent Neural Network Speech Synthesis Based on Speaker/Style Embedding [PDF]
Journal of Universal Computer Science, 2020 The paper presents a novel architecture and method for training neural networks to produce synthesized speech in a particular voice and speaking style, based on a small quantity of target speaker/style training data. The method is based on neural network
Milan Sečujski +4 more
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Towards Learning Causal Representations of Technical Word Embeddings for Smart Troubleshooting
International Journal of Prognostics and Health Management, 2022 This work explores how the causality inference paradigm may be applied to troubleshoot the root causes of failures through language processing and Deep Learning. To do so, the causality hierarchy has been taken for reference: associative, interventional,
Alexandre Trilla +2 more
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Matching Biomedical Ontologies via a Hybrid Graph Attention Network
Frontiers in Genetics, 2022 Biomedical ontologies have been used extensively to formally define and organize biomedical terminologies, and these ontologies are typically manually created by biomedical experts. With more biomedical ontologies being built independently, matching them
Peng Wang, Peng Wang, Yunyan Hu
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Embedding Graphs into Embedded Graphs [PDF]
Algorithmica, 2020 A (possibly denerate) drawing of a graph $G$ in the plane is approximable by an embedding if it can be turned into an embedding by an arbitrarily small perturbation. We show that testing, whether a straight-line drawing of a planar graph $G$ in the plane is approximable by an embedding, can be carried out in polynomial time, if a desired embedding of ...
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SSRN Electronic Journal, 2012 Abstract Many financial instruments are designed with embedded leverage, such as options and leveraged exchange-traded funds (ETFs). Embedded leverage alleviates investors’ leverage constraints, and, therefore, we hypothesize that embedded leverage lowers required returns. Consistent with this hypothesis, we find empirically that options
Andrea Frazzini, Lasse H. Pedersen
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Extended Factorization Machines for Sequential Recommendation
IEEE Access, 2020 Users' historical activities are usually contained in real-life sequential recommendation systems to predict their future behaviors. In this situation, traditional Factorization Machines (FMs) approaches may be not suitable.
Nuan Wen, Fang Zhang
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Locked and unlocked smooth embeddings of surfaces [PDF]
Computing in Geometry and Topology 2 (2): 5.1-5.20, 2023, 2022 We study the continuous motion of smooth isometric embeddings of a planar surface in three-dimensional Euclidean space, and two related discrete analogues of these embeddings, polygonal embeddings and flat foldings without interior vertices, under continuous changes of the embedding or folding.
arxiv +1 more source
Extractive Summarization of Call Transcripts
IEEE Access, 2022 Automatic text summarization is one of the most challenging and interesting problems in natural language processing (NLP). Text summarization is the process of extracting the most important information from the text and presenting it concisely in fewer ...
Pratik K. Biswas, Aleksandr Iakubovich
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