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The Impact of Game Elements on Learner Motivation: Influence of Initial Motivation and Player Profile
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In: EISSN: 1939-1382 ; IEEE Transactions on Learning Technologies ; https://hal.univ-lyon2.fr/hal-03579428 ; IEEE Transactions on Learning Technologies, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/TLT.2022.3153239⟩ (2022)
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Human cumulative culture and the exploitation of natural phenomena
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In: ISSN: 1471-2970 ; Philosophical Transactions of the Royal Society B: Biological Sciences ; https://hal.archives-ouvertes.fr/hal-03509412 ; Philosophical Transactions of the Royal Society B: Biological Sciences, 2022, 377 (1843), ⟨10.1098/rstb.2020.0311⟩ (2022)
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Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language?
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Águas Lopes, José David; Cumbal, Ronald; Engwall, Olov. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022
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Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
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In: Sensors; Volume 22; Issue 5; Pages: 1799 (2022)
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A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin
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In: Mathematics; Volume 10; Issue 8; Pages: 1307 (2022)
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Abstract:
Cryptocurrencies can be considered as mathematical money. As the most famous cryptocurrency, the Bitcoin price forecasting model is one of the popular mathematical models in financial technology because of its large price fluctuations and complexity. This paper proposes a novel ensemble deep learning model to predict Bitcoin’s next 30 min prices by using price data, technical indicators and sentiment indexes, which integrates two kinds of neural networks, long short-term memory (LSTM) and gate recurrent unit (GRU), with stacking ensemble technique to improve the accuracy of decision. Because of the real-time updates of comments on social media, this paper uses social media texts instead of news websites as the source data of public opinion. It is processed by linguistic statistical method to form the sentiment indexes. Meanwhile, as a financial market forecasting model, the model selects the technical indicators as input as well. Real data from September 2017 to January 2021 is used to train and evaluate the model. The experimental results show that the near-real time prediction has a better performance, with a mean absolute error (MAE) 88.74% better than the daily prediction. The purpose of this work is to explain our solution and show that the ensemble method has better performance and can better help investors in making the right investment decision than other traditional models.
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Keyword:
Bitcoin price prediction; cryptocurrencies; ensemble learning; financial technology; forecasting model
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URL: https://doi.org/10.3390/math10081307
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TECHNOLOGIES FOR DEVELOPING LEXICAL COMPETENCE OF MEDICAL STUDENTS IN ENGLISH ...
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TECHNOLOGIES FOR DEVELOPING LEXICAL COMPETENCE OF MEDICAL STUDENTS IN ENGLISH ...
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The “Social” in Social VR: A Linguistic Analysis of Verbal Behavior in Groups ...
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Technology-mediated task-based language teaching : a qualitative research synthesis
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How do L2 student moderators facilitate a peer-led discussion forum?
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Satisfacción de los estudiantes con la docencia online en tiempos de COVID-19
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 70, 2022 (Ejemplar dedicado a: Nuevos retos del profesorado ante la enseñanza digital), pags. 35-45 (2022)
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Mobile assisted language learning: : scope, praxis and theory
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In: Porta Linguarum: revista internacional de didáctica de las lenguas extranjeras, ISSN 1697-7467, Nº. 4, 2022 (Ejemplar dedicado a: Monográfico), pags. 11-25 (2022)
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Neural-based Knowledge Transfer in Natural Language Processing
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Uma abordagem complexa para aprendizagem baseada em tarefas mediada por tecnologias ; A complex approach to technology-mediated task-based learning
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In: Entrepalavras; v. 11, n. 3 (11): Linguagem e Tecnologia; 148-169 (2022)
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| 15 |
Improving Learners’ Assessment and Evaluation in Crisis Management Serious Games: an Emotion-based Educational Data Mining Approach
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In: ISSN: 1875-9521 ; Entertainment Computing ; https://hal.archives-ouvertes.fr/hal-03203938 ; Entertainment Computing, Elsevier, 2021, pp.100428. ⟨10.1016/j.entcom.2021.100428⟩ (2021)
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How Hermeneutic Spirals may reduce Complexity to Narrative Schemata - expanding on "Complexity and the Userly Text"
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In: https://hal.archives-ouvertes.fr/hal-03254233 ; 2021 (2021)
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Argumentation of Prospective Mathematics Teachers in Fraction Tasks Mediated by an Online Assessment System With Automatic Feedback
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In: Eurasia Journal of Mathematics, Science and Technology Education ; https://hal.archives-ouvertes.fr/hal-03538861 ; Eurasia Journal of Mathematics, Science and Technology Education, 2021, 17 (12), pp.em2055. ⟨10.29333/ejmste/11425⟩ (2021)
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The L2L system for second language learning using visualised zoom calls among students
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In: Dey-Plissonneau, Aparajita, Lee, Hyowon orcid:0000-0003-4395-7702 , Pradier, Vincent orcid:0000-0002-7050-6408 , Scriney, Michael orcid:0000-0001-6813-2630 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) The L2L system for second language learning using visualised zoom calls among students. In: 16th European Conference on Technology-Enhanced Learning EC-TEL 2021, 20-24 Sept 2021, Bozen-Bolzano, Italy (Online). ISBN 978-3-030-86435-4 (2021)
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Utilising visual attention cues for vehicle detection and tracking
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In: Hu, Feiyan orcid:0000-0001-7451-6438 , Gurram Munirathnam, Venkatesh orcid:0000-0002-4393-9267 , O'Connor, Noel E. orcid:0000-0002-4033-9135 , Smeaton, Alan F. orcid:0000-0003-1028-8389 and Little, Suzanne orcid:0000-0003-3281-3471 (2021) Utilising visual attention cues for vehicle detection and tracking. In: 25th International Conference on Pattern Recognition (ICPR2020), 10-15 Jan 2021, Milan, Italy (Online). (2021)
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cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations
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In: Erofeev, Gleb, Sorokina, Irina, Han, Lifeng orcid:0000-0002-3221-2185 and Gladkoff, Serge (2021) cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations. In: Machine Translation Summit 2021, 16-20 Aug 2021, USA (online). (In Press) (2021)
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