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Adriano Soares Koshiyama
Adriano Soares Koshiyama
CEO at Holistic AI, Research Fellow in Computer Science at UCL
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
A high-level overview of AI ethics
E Kazim, AS Koshiyama
Patterns 2 (9), 2021
1532021
Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithms
A Koshiyama, E Kazim, P Treleaven, P Rai, L Szpruch, G Pavey, ...
Royal Society Open Science 11 (5), 230859, 2024
118*2024
Generative adversarial networks for financial trading strategies fine-tuning and combination
A Koshiyama, N Firoozye, P Treleaven
Quantitative Finance 21 (5), 797-813, 2021
892021
DetectA: abrupt concept drift detection in non-stationary environments
T Escovedo, A Koshiyama, AA da Cruz, M Vellasco
Applied Soft Computing 62, 119-133, 2018
622018
Machine learning for health: algorithm auditing & quality control
L Oala, AG Murchison, P Balachandran, S Choudhary, J Fehr, AW Leite, ...
Journal of medical systems 45, 1-8, 2021
442021
Algorithms: law and regulation
P Treleaven, J Barnett, A Koshiyama
Computer 52 (2), 32-40, 2019
42*2019
Systematizing audit in algorithmic recruitment
E Kazim, AS Koshiyama, A Hilliard, R Polle
Journal of Intelligence 9 (3), 46, 2021
392021
AI auditing and impact assessment: according to the UK information commissioner’s office
E Kazim, DMT Denny, A Koshiyama
AI and Ethics 1, 301-310, 2021
382021
The interrelation between data and AI ethics in the context of impact assessments
E Kazim, A Koshiyama
AI and Ethics 1, 219-225, 2021
372021
GPFIS-CLASS: A Genetic Fuzzy System based on Genetic Programming for classification problems
AS Koshiyama, MMBR Vellasco, R Tanscheit
Applied Soft Computing 37, 561-571, 2015
322015
Algorithms in future capital markets
A Koshiyama, N Firoozye, P Treleaven
Available at SSRN 3527511, 2020
302020
Introdução a Data Science: Algoritmos de Machine Learning e métodos de análise
T Escovedo, A Koshiyama
Casa do Código, 2020
272020
Augmenting correlation structures in spatial data using deep generative models
K Klemmer, A Koshiyama, S Flennerhag
https://arxiv.org/abs/1905.09796v1, 2019
272019
Innovation and opportunity: review of the UK’s national AI strategy
E Kazim, D Almeida, N Kingsman, C Kerrigan, A Koshiyama, E Lomas, ...
Discover Artificial Intelligence 1, 1-10, 2021
222021
Algorithms in future insurance markets
M Śmietanka, A Koshiyama, P Treleaven
International Journal of Data Science and Big Data Analytics 1 (1), 1-19, 2021
212021
Automatic synthesis of fuzzy systems: An evolutionary overview with a genetic programming perspective
A Koshiyama, R Tanscheit, M Vellasco
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2018
172018
Quantnet: Transferring learning across systematic trading strategies
A Koshiyama, S Flennerhag, SB Blumberg, N Firoozye, P Treleaven
arXiv preprint arXiv:2004.03445, 2020
16*2020
Fungi infection in honeybee hives in regions affected by Brazilian sac brood
KM Keller, MV Deveza, AS Koshiyama, WS Tassinari, OM Barth, ...
Arquivo Brasileiro de Medicina Veterinária e Zootecnia 66, 1471-1478, 2014
162014
GPFIS-control: a genetic fuzzy system for control tasks
AS Koshiyama, MMBR Vellasco, R Tanscheit
Journal of Artificial Intelligence and Soft Computing Research 4 (3), 167-179, 2014
162014
AI assurance processes
E Kazim, A Koshiyama
Available at SSRN 3685087, 2020
142020
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Articles 1–20