| A high-level overview of AI ethics E Kazim, AS Koshiyama Patterns 2 (9), 2021 | 350 | 2021 |
| 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 | 246* | 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 | 124 | 2021 |
| Systematizing audit in algorithmic recruitment E Kazim, AS Koshiyama, A Hilliard, R Polle Journal of Intelligence 9 (3), 46, 2021 | 83 | 2021 |
| 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 | 76 | 2018 |
| 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 (12), 105, 2021 | 68 | 2021 |
| AI auditing and impact assessment: according to the UK information commissioner’s office E Kazim, DMT Denny, A Koshiyama AI and Ethics 1 (3), 301-310, 2021 | 55 | 2021 |
| The interrelation between data and AI ethics in the context of impact assessments E Kazim, A Koshiyama AI and Ethics 1 (3), 219-225, 2021 | 55 | 2021 |
| Algorithms: law and regulation P Treleaven, J Barnett, A Koshiyama Computer 52 (2), 32-40, 2019 | 52* | 2019 |
| Introdução a Data Science: Algoritmos de Machine Learning e métodos de análise T Escovedo, A Koshiyama Casa do Código, 2020 | 49 | 2020 |
| Algorithms in future capital markets A Koshiyama, N Firoozye, P Treleaven Available at SSRN 3527511, 2020 | 39 | 2020 |
| HyPA-RAG: A hybrid parameter adaptive retrieval-augmented generation system for AI legal and policy applications R Kalra, Z Wu, A Gulley, A Hilliard, X Guan, A Koshiyama, PC Treleaven Proceedings of the 1st workshop on customizable nlp: Progress and challenges …, 2024 | 38 | 2024 |
| 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), 14, 2021 | 38 | 2021 |
| Jobfair: A framework for benchmarking gender hiring bias in large language models Z Wang, Z Wu, X Guan, M Thaler, A Koshiyama, S Lu, S Beepath, ... Findings of the association for computational linguistics: EMNLP 2024, 3227-3246, 2024 | 35 | 2024 |
| 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 | 35 | 2021 |
| Investigating algorithmic bias in student progress monitoring JA Idowu, AS Koshiyama, P Treleaven Computers and Education: Artificial Intelligence 7, 100267, 2024 | 34 | 2024 |
| Augmenting correlation structures in spatial data using deep generative models K Klemmer, A Koshiyama, S Flennerhag https://arxiv.org/abs/1905.09796v1, 2019 | 33 | 2019 |
| Tacit knowledge elicitation process for industry 4.0 E Fenoglio, E Kazim, H Latapie, A Koshiyama Discover Artificial Intelligence 2 (1), 6, 2022 | 32 | 2022 |
| 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 | 32 | 2015 |
| The future of cybercrime: AI and emerging technologies are creating a cybercrime tsunami P Treleaven, J Barnett, D Brown, A Bud, E Fenoglio, C Kerrigan, ... Available at SSRN 4507244, 2023 | 23 | 2023 |
Marley VellascoPontifícia Universidade Católica do Rio de JaneiroVerified email at ele.puc-rio.br
