Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Leslie Kanthan"'
Autor:
Fan Fang, Carmine Ventre, Michail Basios, Leslie Kanthan, David Martinez-Rego, Fan Wu, Lingbo Li
Publikováno v:
Financial Innovation, Vol 8, Iss 1, Pp 1-59 (2022)
Abstract In recent years, the tendency of the number of financial institutions to include cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital assets to be included by asset managers. Although they have so
Externí odkaz:
https://doaj.org/article/a3c5ac0c79b84c548603e56037b054ab
Autor:
Ji Qi, Tianhua Xu, Zheng Liu, Cenqin Jin, Tongyang Xu, Lingbo Li, Leslie Kanthan, Jian Zhao, Tiegen Liu
Publikováno v:
Optoelectronic Devices and Integration XI.
Publikováno v:
The European Journal of Finance. :1-23
The cryptocurrency market is amongst the fastest-growing of all the financial markets in the world. Unlike traditional markets, such as equities, foreign exchange and commodities, cryptocurrency ma...
Autor:
Fan Wu, Michail Basios, Fan Pu, Lingbo Li, Leslie Kanthan, Xiangyang Jia, Wahidur Rahman, Baowen Xu, Yisen Xu, Jifeng Xuan
Publikováno v:
IWSC
Code clones are identical or similar code segments. The wide existence of code clones can increase the cost of maintenance and jeopardise the quality of software. The research community has developed many techniques to detect code clones, however, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1390cc448bf5e41cfd0e2fddadd37085
Publikováno v:
Journal of Advances in Mathematics and Computer Science. :1-15
We propose a simpler derivation of the probability density function of Feller Diffusion using the Fourier Transform and solving the resulting equation via the Method of Characteristics. We also discuss simulation algorithms and confirm key properties
Publikováno v:
ICSE (Workshops)
Advent of microservices has increased the popularity of the API-first design principles. Developers have been focusing on concretising the API to a system before building the system. An API-first approach assumes that the API will be correctly used.
Autor:
Fan Fang, Carmine Ventre, Michail Basios, Leslie Kanthan, David Martinez-Rego, Fan Wu, Lingbo Li
Publikováno v:
Financial Innovation, Vol 8, Iss 1, Pp 1-59 (2022)
In recent years, the tendency of the number of financial institutions to include cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital assets to be included by asset managers. Although they have some common
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a244b3a91e5b32ff4c5245a9ed56091d
http://arxiv.org/abs/2003.11352
http://arxiv.org/abs/2003.11352
Autor:
Carlos Eiras-Franco, David Martínez-Rego, César Piñeiro, Amparo Alonso-Betanzos, Leslie Kanthan, Antonio Bahamonde, Bertha Guijarro-Berdiñas
Publikováno v:
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
RUO: Repositorio Institucional de la Universidad de Oviedo
Universidad de Oviedo (UNIOVI)
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
RUO: Repositorio Institucional de la Universidad de Oviedo
Universidad de Oviedo (UNIOVI)
The k -nearest-neighbors ( k NN) graph is a popular and powerful data structure that is used in various areas of Data Science, but the high computational cost of obtaining it hinders its use on large datasets. Approximate solutions have been describe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37b0064e4c01f6f94526e55f1b70797f
http://hdl.handle.net/10651/58522
http://hdl.handle.net/10651/58522
Publikováno v:
IEEE International Conference on Image Processing (ICIP)
Increasing shape-bias in deep neural networks has been shown to improve robustness to common corruptions and noise. In this paper we analyze the adversarial robustness of texture and shape-biased models to Universal Adversarial Perturbations (UAPs).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f56824b01ac418d469ea13216b07423
Publikováno v:
ESEC/SIGSOFT FSE
Data structure selection and tuning is laborious but can vastly improve an application's performance and memory footprint. Some data structures share a common interface and enjoy multiple implementations. We call them Darwinian Data Structures (DDS),