Adriano S. Koshiyama

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 30

Top Topics

Genetic Programming

Trading Strategies

Fuzzy Inference

Top Venues

Publications

Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano S. Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin Jr., María Pérez-Ortiz
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models. CoRR (2024)
Emre Kazim, Osman Güçlütürk, Denise R. S. Almeida, Charles Kerrigan, Elizabeth Lomas, Adriano S. Koshiyama, Airlie Hilliard, Markus Trengove
Proposed EU AI Act - Presidency compromise text: select overview and comment on the changes to the proposed regulation. AI Ethics 3 (2) (2023)
Giulio Filippi, Sara Zannone, Adriano S. Koshiyama
Intersectional Fairness: A Fractal Approach. CoRR (2023)
Cristian Muñoz, Kleyton da Costa, Bernardo Modenesi, Adriano S. Koshiyama
Local and Global Explainability Metrics for Machine Learning Predictions. CoRR (2023)
Giulio Filippi, Sara Zannone, Airlie Hilliard, Adriano S. Koshiyama
Local Law 144: A Critical Analysis of Regression Metrics. CoRR (2023)
Cristian Muñoz, Sara Zannone, Umar Mohammed, Adriano S. Koshiyama
Uncovering Bias in Face Generation Models. CoRR (2023)
Ethan Barrance, Emre Kazim, Airlie Hilliard, Markus Trengove, Sara Zannone, Adriano S. Koshiyama
Overview and commentary of the CDEI's extended roadmap to an effective AI assurance ecosystem. Frontiers Artif. Intell. 5 (2022)
Enzo Fenoglio, Emre Kazim, Hugo Latapie, Adriano S. Koshiyama
Tacit knowledge elicitation process for industry 4.0. Discov. Artif. Intell. 2 (1) (2022)
Nigel Kingsman, Emre Kazim, Ali Chaudhry, Airlie Hilliard, Adriano S. Koshiyama, Roseline Polle, Giles Pavey, Umar Mohammed
Public sector AI transparency standard: UK Government seeks to lead by example. Discov. Artif. Intell. 2 (1) (2022)
Emre Kazim, Danielle Mendes Thame Denny, Adriano S. Koshiyama
Correction to: AI auditing and impact assessment: according to the UK information commissioner's office. AI Ethics 1 (3) (2021)
Emre Kazim, Adriano S. Koshiyama
The interrelation between data and AI ethics in the context of impact assessments. AI Ethics 1 (3) (2021)
Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saúl Calderón Ramírez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand
Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. 45 (12) (2021)
Emre Kazim, Denise R. S. Almeida, Nigel Kingsman, Charles Kerrigan, Adriano S. Koshiyama, Elizabeth Lomas, Airlie Hilliard
Innovation and opportunity: review of the UK's national AI strategy. Discov. Artif. Intell. 1 (1) (2021)
Emre Kazim, Danielle Mendes Thame Denny, Adriano S. Koshiyama
AI auditing and impact assessment: according to the UK information commissioner's office. AI Ethics 1 (3) (2021)
Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco
Neuroevolutionary learning in nonstationary environments. Appl. Intell. 50 (5) (2020)
Rogerio C. B. L. Povoa, Adriano S. Koshiyama, Douglas Mota Dias, Patricia L. Souza, Bruno A. C. Horta
Unimodal optimization using a genetic-programming-based method with periodic boundary conditions. Genet. Program. Evolvable Mach. 21 (3) (2020)
Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
Algorithms in future capital markets: a survey on AI, ML and associated algorithms in capital markets. ICAIF (2020)
Adriano S. Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg, Nick Firoozye, Philip C. Treleaven
QuantNet: Transferring Learning Across Systematic Trading Strategies. CoRR (2020)
Wenmei Yang, Adriano S. Koshiyama
Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3. Intell. Syst. Account. Finance Manag. 26 (1) (2019)
Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination. CoRR (2019)
Konstantin Klemmer, Adriano S. Koshiyama, Sebastian Flennerhag
Augmenting correlation structures in spatial data using deep generative models. CoRR (2019)
Adriano S. Koshiyama, Ricardo Tanscheit, Marley M. B. R. Vellasco
Automatic synthesis of fuzzy systems: An evolutionary overview with a genetic programming perspective. WIREs Data Mining Knowl. Discov. 9 (2) (2019)
Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
A derivatives trading recommendation system: The mid-curve calendar spread case. Intell. Syst. Account. Finance Manag. 26 (2) (2019)
Philip C. Treleaven, Jeremy Barnett, Adriano S. Koshiyama
Algorithms: Law and Regulation. Computer 52 (2) (2019)
Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
Mid-Curve Recommendation System: a Stacking Approach Through Neural Networks. IJCNN (2018)
Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco
DetectA: abrupt concept drift detection in non-stationary environments. Appl. Soft Comput. 62 (2018)
Rogerio C. B. L. Povoa, Adriano S. Koshiyama, Douglas Mota Dias, Patricia L. Souza, Bruno A. C. Horta
Multi-Modal Optimization by Multi-Gene Genetic Programming. CEC (2018)
Oscar Samudio, Marley M. B. R. Vellasco, Ricardo Tanscheit, Adriano S. Koshiyama
RandomFIS: A Fuzzy Classification System for Big Datasets. INNS Conference on Big Data (2016)
Julio Ribeiro Coutinho, Ricardo Tanscheit, Marley M. B. R. Vellasco, Adriano S. Koshiyama
AutoMFIS: Fuzzy Inference System for multivariate time series forecasting. FUZZ-IEEE (2016)
Jorge Paredes, Ricardo Tanscheit, Marley M. B. R. Vellasco, Adriano S. Koshiyama
Automatic Synthesis of Fuzzy Inference Systems for Classification. IPMU (1) (2016)
Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit
Development of a fuzzy rule-based system using Genetic Programming for Forecasting problems. FUZZ-IEEE (2015)
Tatiana Escovedo, Adriano S. Koshiyama, Marley Maria Bernardes Rebuzzi Vellasco, Rubens Nascimento Melo, André Vargas Abs da Cruz
A2D2: A pre-event abrupt drift detection. IJCNN (2015)
Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit
A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems. IFSA-EUSFLAT (2015)
Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit
GPFIS-CLASS: A Genetic Fuzzy System based on Genetic Programming for classification problems. Appl. Soft Comput. 37 (2015)
Adriano S. Koshiyama, Tatiana Escovedo, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit
GPFIS-Control: A fuzzy Genetic model for Control tasks. FUZZ-IEEE (2014)
Tatiana Escovedo, André Vargas Abs da Cruz, Adriano S. Koshiyama, Rubens Nascimento Melo, Marley Maria Bernardes Rebuzzi Vellasco
NEVE++: A neuro-evolutionary unlimited ensemble for adaptive learning. IJCNN (2014)
Marco Silva, Adriano S. Koshiyama, Marley Maria Bernardes Rebuzzi Vellasco, Edson Cataldo
Evolutionary features and parameter optimization of spiking neural networks for unsupervised learning. IJCNN (2014)
Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit
GPFIS-Control: A Genetic Fuzzy System For Control Tasks. J. Artif. Intell. Soft Comput. Res. 4 (3) (2014)
Guilherme Cesário Strachan, Adriano S. Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco
Quantum-Inspired Multi-gene Linear Genetic Programming Model for Regression Problems. BRACIS (2014)
Eric da Silva Praxedes, Adriano S. Koshiyama, Elita Selmara Abreu, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco
Lithology discrimination using seismic elastic attributes: a genetic fuzzy classifier approach. GECCO (2014)
Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama
Using ensembles for adaptive learning: A comparative approach. IJCNN (2013)
Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley M. B. R. Vellasco, Ricardo Tanscheit
GPF-CLASS: A Genetic Fuzzy model for classification. IEEE Congress on Evolutionary Computation (2013)
Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama
Learning under Concept Drift using a Neuro-Evolutionary Ensemble. Int. J. Comput. Intell. Appl. 12 (4) (2013)
Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco
Combining Forecasts: A Genetic Programming Approach. Int. J. Nat. Comput. Res. 3 (3) (2012)