Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Raymond S. T. Lee"'
Publikováno v:
IEEE Access, Vol 10, Pp 129564-129579 (2022)
Long Short-Term Memory (LSTM) networks are unique to exercise data in its memory cell with long-term memory as Natural Language Processing (NLP) tasks have inklings of intensive time and computational power due to their complex structures like magnit
Externí odkaz:
https://doaj.org/article/8dbd181cc9874ff484bba51d0f1843f7
Autor:
Luochao Wang, Raymond S. T. Lee
Publikováno v:
Fractal and Fractional, Vol 7, Iss 4, p 292 (2023)
Financial prediction persists a strenuous task in Fintech research. This paper introduces a multifractal asymmetric detrended cross-correlation analysis (MF-ADCCA)-based deep learning forecasting model to predict a succeeding day log return via excit
Externí odkaz:
https://doaj.org/article/e138b44c011348dc8d997b8e400b608c
Autor:
Weiming Mai, Raymond S. T. Lee
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 3876 (2021)
Chart patterns are significant for financial market behavior analysis. Lots of approaches have been proposed to detect specific patterns in financial time series data, most of them can be categorized as distance-based or training-based. In this paper
Externí odkaz:
https://doaj.org/article/ee46a1a7ee224533bb4ccbeca089c8e6
Autor:
LuoChao Wang, Raymond S. T. Lee
Publikováno v:
2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::083597ff4fd490f198a29e9cec9654f6
https://doi.org/10.1109/ithet56107.2022.10031712
https://doi.org/10.1109/ithet56107.2022.10031712
Publikováno v:
International Journal on Natural Language Computing. 9:1-21
In this paper, we proposed a XAI-based Language Learning Chatbot (namely XAI Language Tutor) by using ontology and transfer learning techniques. To facilitate three levels of language learning, XAI Language Tutor consists of three levels for systemat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8886259555154e17b10f73083d6e4b9f
https://doi.org/10.5121/ijnlc.2020.9501
https://doi.org/10.5121/ijnlc.2020.9501
Autor:
Raymond S. T. Lee
Publikováno v:
IEEE Transactions on Fuzzy Systems. 28:731-745
Over the years, financial engineering ranging from the study of financial signals to the modeling of financial prediction is one of the most exciting topics for both academia and financial community. With the flourishing AI technology in the past 20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc26e959143694af2e42d5ffb8088022
https://doi.org/10.1109/tfuzz.2019.2914642
https://doi.org/10.1109/tfuzz.2019.2914642
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Frontiers in Artificial Intelligence
Frontiers in Artificial Intelligence
Reinforcement Learning (RL) based machine trading attracts a rich profusion of interest. However, in the existing research, RL in the day-trade task suffers from the noisy financial movement in the short time scale, difficulty in order settlement, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a28905ffde3561cc9f7de9c06264bd5
https://www.frontiersin.org/articles/10.3389/frai.2021.749878/full
https://www.frontiersin.org/articles/10.3389/frai.2021.749878/full
Autor:
Raymond S. T. Lee
Publikováno v:
International Journal of Fuzzy Systems. 21:2223-2244
In this paper, the author proposes an innovative Chaotic Interval Type-2 Fuzzy Neuro-oscillatory Network (CIT2-FNON) for worldwide financial prediction. Inspired by the author’s original work on Lee-oscillator—a chaotic discrete-time neural oscil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3499b1f8b9f636c9d8ac867a7afa77d
https://doi.org/10.1007/s40815-019-00688-w
https://doi.org/10.1007/s40815-019-00688-w
Autor:
Raymond S. T. Lee
Publikováno v:
Journal of Finance and Data Science, Vol 5, Iss 2, Pp 61-82 (2019)
Over the years, financial engineering ranging from the study of financial signals to the modelling of financial prediction is one of the most stimulating topics for both academia and financial community. Not only because of its importance in terms of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6b428e06ead32dc29afe274bb6b9650
http://www.sciencedirect.com/science/article/pii/S2405918818300990
http://www.sciencedirect.com/science/article/pii/S2405918818300990
Autor:
Raymond S. T. Lee
This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering
