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ORCIDAdriano S. Koshiyama
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- affiliation: University College London, Department of Computer Science, UK
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Books and Theses
- 2020
[b1]Adriano Soares Koshiyama:
Applications of machine learning methods in financial markets. University College London, UK, 2020
Journal Articles
- 2023
- [j23]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): 381-387 (2023) - 2022
- [j22]Adriano Soares Koshiyama, Emre Kazim, Philip C. Treleaven:
Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms. Computer 55(4): 40-50 (2022) - [j21]Enzo Fenoglio, Emre Kazim, Hugo Latapie, Adriano S. Koshiyama:
Tacit knowledge elicitation process for industry 4.0. Discov. Artif. Intell. 2(1) (2022) - [j20]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) - [j19]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) - [j18]Emre Kazim
, Enzo Fenoglio, Airlie Hilliard, Adriano Soares Koshiyama, Catherine Mulligan, Markus Trengove, Abigail Gilbert, Arthur Gwagwa, Denise R. S. Almeida, Phil Godsiff, Kaska Porayska-Pomsta:
On the sui generis value capture of new digital technologies: The case of AI. Patterns 3(7): 100526 (2022) - 2021
- [j17]Emre Kazim, Adriano S. Koshiyama:
The interrelation between data and AI ethics in the context of impact assessments. AI Ethics 1(3): 219-225 (2021) - [j16]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): 301-310 (2021) - [j15]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): 311 (2021) - [j14]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) - [j13]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 D. 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): 105 (2021) - [j12]Emre Kazim, Adriano Soares Koshiyama:
A high-level overview of AI ethics. Patterns 2(9): 100314 (2021) - 2020
- [j11]Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco:
Neuroevolutionary learning in nonstationary environments. Appl. Intell. 50(5): 1590-1608 (2020) - [j10]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): 503-523 (2020) - 2019
- [j9]Philip C. Treleaven, Jeremy Barnett, Adriano S. Koshiyama:
Algorithms: Law and Regulation. Computer 52(2): 32-40 (2019) - [j8]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): 16-31 (2019) - [j7]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): 83-103 (2019) - [j6]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) - 2018
- [j5]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: 119-133 (2018) - 2015
- [j4]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: 561-571 (2015) - 2014
- [j3]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): 167-179 (2014) - 2013
- [j2]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) - 2012
- [j1]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): 41-58 (2012)
Conference and Workshop Papers
- 2020
- [c19]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: 14:1-14:8 - 2018
- [c18]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: 1-8 - [c17]Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven:
Mid-Curve Recommendation System: a Stacking Approach Through Neural Networks. IJCNN 2018: 1-8 - 2016
- [c16]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: 2120-2127 - [c15]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: 262-272 - [c14]Jorge Paredes, Ricardo Tanscheit, Marley M. B. R. Vellasco, Adriano S. Koshiyama:
Automatic Synthesis of Fuzzy Inference Systems for Classification. IPMU (1) 2016: 486-497 - 2015
- [c13]Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit:
A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems. IFSA-EUSFLAT 2015 - [c12]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: 1-7 - [c11]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: 1-8 - 2014
- [c10]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: 152-157 - [c9]Adriano S. Koshiyama, Tatiana Escovedo, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit:
GPFIS-Control: A fuzzy Genetic model for Control tasks. FUZZ-IEEE 2014: 1953-1959 - [c8]Guilherme Cesário Strachan, Adriano Soares Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco:
Towards a quantum-inspired multi-gene linear genetic programming model. GECCO (Companion) 2014: 149-150 - [c7]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: 1151-1158 - [c6]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: 2391-2398 - [c5]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: 3331-3338 - 2013
- [c4]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: 3275-3282 - [c3]Adriano Soares Koshiyama, Douglas Mota Dias, André Vargas Abs da Cruz, Marco Aurélio Cavalcanti Pacheco:
Numerical optimization by multi-gene genetic programming. GECCO (Companion) 2013: 145-146 - [c2]Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano Soares Koshiyama:
NEVE: A Neuro-Evolutionary Ensemble for Adaptive Learning. AIAI 2013: 636-645 - [c1]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: 1-7
Parts in Books or Collections
- 2016
- [p1]Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit:
A Novel Genetic Fuzzy System for Regression Problems. Fuzzy Technology 2016: 85-101
Informal and Other Publications
- 2024
- [i17]Airlie Hilliard, Cristian Muñoz, Zekun Wu, Adriano Soares Koshiyama:
Eliciting Personality Traits in Large Language Models. CoRR abs/2402.08341 (2024) - [i16]Zekun Wu, Sahan Bulathwela, María Pérez-Ortiz, Adriano Soares Koshiyama:
Auditing Large Language Models for Enhanced Text-Based Stereotype Detection and Probing-Based Bias Evaluation. CoRR abs/2404.01768 (2024) - [i15]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 abs/2406.15484 (2024) - [i14]Rishi Kalra, Zekun Wu, Ayesha Gulley, Airlie Hilliard, Xin Guan, Adriano S. Koshiyama, Philip C. Treleaven:
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications. CoRR abs/2409.09046 (2024) - [i13]Navya Jain, Zekun Wu, Cristian Muñoz, Airlie Hilliard, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven:
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. CoRR abs/2409.10245 (2024) - [i12]Xin Guan, Nathaniel Demchak, Saloni Gupta, Ze Wang, Ediz Ertekin Jr., Adriano S. Koshiyama, Emre Kazim, Zekun Wu:
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration. CoRR abs/2409.11149 (2024) - [i11]Mengfei Liang, Archish Arun, Zekun Wu, Cristian Muñoz, Jonathan Lutch, Emre Kazim, Adriano S. Koshiyama, Philip C. Treleaven:
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models. CoRR abs/2409.11353 (2024) - [i10]Theo King, Zekun Wu, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven:
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection. CoRR abs/2409.11579 (2024) - 2023
- [i9]Giulio Filippi, Sara Zannone, Airlie Hilliard, Adriano S. Koshiyama:
Local Law 144: A Critical Analysis of Regression Metrics. CoRR abs/2302.04119 (2023) - [i8]Cristian Muñoz, Sara Zannone, Umar Mohammed, Adriano S. Koshiyama:
Uncovering Bias in Face Generation Models. CoRR abs/2302.11562 (2023) - [i7]Cristian Muñoz, Kleyton da Costa, Bernardo Modenesi, Adriano S. Koshiyama:
Local and Global Explainability Metrics for Machine Learning Predictions. CoRR abs/2302.12094 (2023) - [i6]Giulio Filippi, Sara Zannone, Adriano S. Koshiyama:
Intersectional Fairness: A Fractal Approach. CoRR abs/2302.12683 (2023) - [i5]Zekun Wu, Sahan Bulathwela, Adriano Soares Koshiyama:
Towards Auditing Large Language Models: Improving Text-based Stereotype Detection. CoRR abs/2311.14126 (2023) - 2020
- [i4]Adriano S. Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg, Nick Firoozye, Philip C. Treleaven:
QuantNet: Transferring Learning Across Systematic Trading Strategies. CoRR abs/2004.03445 (2020) - 2019
- [i3]Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven:
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination. CoRR abs/1901.01751 (2019) - [i2]Konstantin Klemmer, Adriano S. Koshiyama, Sebastian Flennerhag:
Augmenting correlation structures in spatial data using deep generative models. CoRR abs/1905.09796 (2019) - 2018
- [i1]Adriano Soares Koshiyama, Nick Firoozye, Philip C. Treleaven:
A Machine Learning-based Recommendation System for Swaptions Strategies. CoRR abs/1810.02125 (2018)
Coauthor Index
aka: Marley Maria Bernardes Rebuzzi Vellasco
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