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1
U2-VC: one-shot voice conversion using two-level nested U-structure ...
Liu, Fangkun; Wang, Hui; Peng, Renhua. - : figshare, 2021
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U2-VC: one-shot voice conversion using two-level nested U-structure ...
Liu, Fangkun; Wang, Hui; Peng, Renhua. - : figshare, 2021
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3
Sample data for "Design and Collection Challenges of Building an Academic Email Corpus for Linguistics and Computational Research" ...
Diaz, Damian Yukio Romero; Hanyu Jia; Xu, Wei. - : University of Arizona Research Data Repository, 2021
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Sample data for "Design and Collection Challenges of Building an Academic Email Corpus for Linguistics and Computational Research" ...
Romero Diaz, Damian Yukio; Jia, Hanyu; Xu, Wei. - : University of Arizona Research Data Repository, 2021
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5
Neural Network Translated into Bag-of-Words: Lexicon of Attentions
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6
Measurement of single-diffractive dijet production in proton-proton collisions at $\sqrt{s} =$ 8 TeV with the CMS and TOTEM experiments
In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-02507664 ; Eur.Phys.J.C, 2020, 80 (12), pp.1164. ⟨10.1140/epjc/s10052-020-08562-y⟩ (2020)
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7
Measurement of the top quark mass with lepton+jets final states using $\mathrm {p}$ $\mathrm {p}$ collisions at $\sqrt{s}=13\,\text {TeV} $
In: http://infoscience.epfl.ch/record/275278 (2020)
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8
The Informativeness of Text, the Deep Learning Approach
Abstract: This paper uses a deep learning natural language processing approach (Google's Bidirectional Encoder Representations from Transformers, hereafter BERT) to comprehensively summarize financial texts and examine their informativeness. First, we compare BERT's effectiveness in sentiment classification in financial texts with that of a finance specific dictionary, the naïve Bayes, and Word2Vec, a shallow machine learning approach. We find that first, BERT outperforms all other approaches, and second, pre-training BERT with financial texts further improves its performance. Using BERT, we show that conference call texts provide information to investors and that other less accurate approaches underestimate the economic significance of textual informativeness by at least 25%. Last, textual sentiments summarized by BERT can predict future earnings and capital expenditure, after controlling for financial statement based determinants commonly used in finance and accounting research.
Keyword: Capital Investment; Deep Learning; Earnings; Informativeness; Machine Learning; Natural Language Processing; Textual Analysis
URL: http://hdl.handle.net/10125/70549
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9
Tongue features of patients with coronavirus disease 2019: a retrospective cross-sectional study
In: Integr Med Res (2020)
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10
A Review of Functional Near-Infrared Spectroscopy Studies of Motor and Cognitive Function in Preterm Infants
In: Neurosci Bull (2019)
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11
Corticosterone rather than ethanol epigenetic programmed testicular dysplasia caused by prenatal ethanol exposure in male offspring rats
Liu, Min; Zhang, Qi; Pei, Linguo. - : Taylor & Francis, 2019
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12
Measurement of prompt and nonprompt charmonium suppression in $\text {PbPb}$ collisions at 5.02 $\,\text {Te}\text {V}$
In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-01833739 ; Eur.Phys.J.C, 2018, 78 (6), pp.509. ⟨10.1140/epjc/s10052-018-5950-6⟩ (2018)
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13
Real-time Face Detection and Recognition Based on Deep Learning
Wang, Hui. - : Auckland University of Technology, 2018
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14
A Systematic Review of Teachers’ Causal Attributions: Prevalence, Correlates, and Consequences
Wang, Hui; Hall, Nathan C.. - : Frontiers Media S.A., 2018
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15
Measurement of prompt and nonprompt charmonium suppression in $\text {PbPb}$ collisions at 5.02 $\,\text {Te}\text {V}$
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16
Distinguish Effect of Cu, Zn and Cd on Wheat’s Growth Using Nondestructive and Rapid Minolta SPAD-502
In: IFIP Advances in Information and Communication Technology ; 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA) ; https://hal.inria.fr/hal-01557828 ; 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.231-238, ⟨1010.1007/978-3-319-48357-3_22⟩ (2015)
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17
A linguistic multi-criteria decision making approach based on logical reasoning
In: Information sciences. - New York, NY : Elsevier Science Inc. 258 (2014), 266-276
OLC Linguistik
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18
An active contour model and its algorithms with local and global Gaussian distribution fitting energies
In: Information sciences. - New York, NY : Elsevier Science Inc. 263 (2014), 43-59
OLC Linguistik
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19
Multi-strategy ensemble artificial bee colony algorithm
In: Information sciences. - New York, NY : Elsevier Science Inc. 279 (2014), 587-603
OLC Linguistik
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20
A linguistic multi-criteria decision making approach based on logical reasoning
Chen, Shuwei; Liu, Jun; Wang, Hui. - : Elsevier, 2014
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