Adriano S. Koshiyama

72 papers A* 2A 1B 11Journal 45Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentDrift: Unsafe Recommendation Drift Under Tool Corruption Hidden by Ranking Metrics in LLM Agents. CoRR Zekun Wu, Adriano S. Koshiyama, Sahan Bulathwela, María Pérez-Ortiz
2026	A*	`conf`	AgentGraph: Trace-to-Graph Platform for Interactive Analysis and Robustness Testing in Agentic AI Systems. AAAI Zekun Wu, Seonglae Cho, Cristian E. Muñoz Villalobos, Theo King, Umar Mohammed, Emre Kazim, María Pérez-Ortiz, Sahan Bulathwela, Adriano S. Koshiyama
2026	A*	`conf`	AgentSeer: Visualizing and Evaluating Temporal Actions in Agentic AI Systems. AAAI Ilham Wicaksono, Zekun Wu, Rahul Patel, Theo King, Adriano S. Koshiyama, Philip Colin Treleaven
2026	J	`jnl`	Control Reinforcement Learning: Interpretable Token-Level Steering of LLMs via Sparse Autoencoder Features. CoRR Seonglae Cho, Zekun Wu, Adriano S. Koshiyama
2026	J	`jnl`	The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models. CoRR Seonglae Cho, Zekun Wu, Kleyton da Costa, Adriano S. Koshiyama
2025	—	`conf`	Bias Amplification: Large Language Models as Increasingly Biased Media. IJCNLP-AACL (long papers) Ze Wang, Zekun Wu, Yichi Zhang, Xin Guan, Navya Jain, Qinyang Lu, Saloni Gupta, Adriano S. Koshiyama
2025	J	`jnl`	CorrSteer: Steering Improves Task Performance and Safety in LLMs through Correlation-based Sparse Autoencoder Feature Selection. CoRR Seonglae Cho, Zekun Wu, Adriano S. Koshiyama
2025	—	`conf`	From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. NAACL (Findings) Navya Jain, Zekun Wu, Cristian E. Muñoz Villalobos, Airlie Hilliard, Xin Guan, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven
2025	—	`conf`	HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection. IJCNLP-AACL (long papers) Theo King, Zekun Wu, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven
2025	—	`conf`	HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications. NAACL (Industry Track) Rishi Kalra, Zekun Wu, Ayesha Gulley, Airlie Hilliard, Xin Guan, Adriano S. Koshiyama, Philip C. Treleaven
2025	J	`jnl`	Knowledge Collapse in LLMs: When Fluency Survives but Facts Fail under Recursive Synthetic Training. CoRR Figarri Keisha, Zekun Wu, Ze Wang, Adriano S. Koshiyama, Philip C. Treleaven
2025	—	`conf`	LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries. ACL (4) Zekun Wu, Seonglae Cho, Umar Mohammed, Cristian E. Muñoz Villalobos, Kleyton da Costa, Xin Guan, Theo King, Ze Wang, Emre Kazim, Adriano S. Koshiyama
2025	J	`jnl`	LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries. CoRR Zekun Wu, Seonglae Cho, Umar Mohammed, Cristian E. Muñoz, Kleyton da Costa, Xin Guan, Theo King, Ze Wang, Emre Kazim, Adriano S. Koshiyama
2025	J	`jnl`	MPF: Aligning and Debiasing Language Models post Deployment via Multi Perspective Fusion. CoRR Xin Guan, PeiHsin Lin, Zekun Wu, Ze Wang, Ruibo Zhang, Emre Kazim, Adriano S. Koshiyama
2025	—	`conf`	MPF: Aligning and Debiasing Language Models post Deployment via Multi-Perspective Fusion. IJCNLP-AACL (Findings) Xin Guan, PeiHsin Lin, Zekun Wu, Ze Wang, Ruibo Zhang, Emre Kazim, Adriano S. Koshiyama
2025	J	`jnl`	Mind the Gap: Comparing Model- vs Agentic-Level Red Teaming with Action-Graph Observability on GPT-OSS-20B. CoRR Ilham Wicaksono, Zekun Wu, Rahul Patel, Theo King, Adriano S. Koshiyama, Philip C. Treleaven
2025	J	`jnl`	Mind the Gap: Evaluating Model- and Agentic-Level Vulnerabilities in LLMs with Action Graphs. CoRR Ilham Wicaksono, Zekun Wu, Rahul Patel, Theo King, Adriano S. Koshiyama, Philip C. Treleaven
2025	J	`jnl`	Personality as a Probe for LLM Evaluation: Method Trade-offs and Downstream Effects. CoRR Gunmay Handa, Zekun Wu, Adriano S. Koshiyama, Philip C. Treleaven
2025	B	`conf`	SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration. COLING Xin Guan, Nathaniel Demchak, Saloni Gupta, Ze Wang, Ediz Ertekin Jr., Adriano S. Koshiyama, Emre Kazim, Zekun Wu
2024	J	`jnl`	Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks. CoRR Nathaniel Demchak, Xin Guan, Zekun Wu, Ziyi Xu, Adriano S. Koshiyama, Emre Kazim
2024	J	`jnl`	Bias Amplification: Language Models as Increasingly Biased Media. CoRR Ze Wang, Zekun Wu, Jeremy Zhang, Navya Jain, Xin Guan, Adriano S. Koshiyama
2024	J	`jnl`	From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. CoRR Navya Jain, Zekun Wu, Cristian E. Muñoz, Airlie Hilliard, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven
2024	J	`jnl`	HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection. CoRR Theo King, Zekun Wu, Adriano S. Koshiyama, Emre Kazim, Philip C. Treleaven
2024	J	`jnl`	HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications. CoRR Rishi Kalra, Zekun Wu, Ayesha Gulley, Airlie Hilliard, Xin Guan, Adriano S. Koshiyama, Philip C. Treleaven
2024	—	`conf`	JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models. EMNLP (Findings) Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano S. Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin Jr., María Pérez-Ortiz
2024	J	`jnl`	JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models. CoRR Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano S. Koshiyama, Skylar Lu, Sachin Beepath, Ediz Ertekin Jr., María Pérez-Ortiz
2024	J	`jnl`	SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration. CoRR Xin Guan, Nathaniel Demchak, Saloni Gupta, Ze Wang, Ediz Ertekin Jr., Adriano S. Koshiyama, Emre Kazim, Zekun Wu
2024	J	`jnl`	THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models. CoRR Mengfei Liang, Archish Arun, Zekun Wu, Cristian E. Muñoz, Jonathan Lutch, Emre Kazim, Adriano S. Koshiyama, Philip C. Treleaven
2023	J	`jnl`	Intersectional Fairness: A Fractal Approach. CoRR Giulio Filippi, Sara Zannone, Adriano S. Koshiyama
2023	J	`jnl`	Local Law 144: A Critical Analysis of Regression Metrics. CoRR Giulio Filippi, Sara Zannone, Airlie Hilliard, Adriano S. Koshiyama
2023	J	`jnl`	Local and Global Explainability Metrics for Machine Learning Predictions. CoRR Cristian E. Muñoz, Kleyton da Costa, Bernardo Modenesi, Adriano S. Koshiyama
2023	J	`jnl`	Proposed EU AI Act - Presidency compromise text: select overview and comment on the changes to the proposed regulation. AI Ethics Emre Kazim, Osman Güçlütürk, Denise R. S. Almeida, Charles Kerrigan, Elizabeth Lomas, Adriano S. Koshiyama, Airlie Hilliard, Markus Trengove
2023	J	`jnl`	Uncovering Bias in Face Generation Models. CoRR Cristian E. Muñoz, Sara Zannone, Umar Mohammed, Adriano S. Koshiyama
2022	J	`jnl`	Overview and commentary of the CDEI's extended roadmap to an effective AI assurance ecosystem. Frontiers Artif. Intell. Ethan Barrance, Emre Kazim, Airlie Hilliard, Markus Trengove, Sara Zannone, Adriano S. Koshiyama
2022	J	`jnl`	Public sector AI transparency standard: UK Government seeks to lead by example. Discov. Artif. Intell. Nigel Kingsman, Emre Kazim, Ali Chaudhry, Airlie Hilliard, Adriano S. Koshiyama, Roseline Polle, Giles Pavey, Umar Mohammed
2022	J	`jnl`	Tacit knowledge elicitation process for industry 4.0. Discov. Artif. Intell. Enzo Fenoglio, Emre Kazim, Hugo Latapie, Adriano S. Koshiyama
2021	J	`jnl`	AI auditing and impact assessment: according to the UK information commissioner's office. AI Ethics Emre Kazim, Danielle Mendes Thame Denny, Adriano S. Koshiyama
2021	J	`jnl`	Correction to: AI auditing and impact assessment: according to the UK information commissioner's office. AI Ethics Emre Kazim, Danielle Mendes Thame Denny, Adriano S. Koshiyama
2021	J	`jnl`	Innovation and opportunity: review of the UK's national AI strategy. Discov. Artif. Intell. Emre Kazim, Denise R. S. Almeida, Nigel Kingsman, Charles Kerrigan, Adriano S. Koshiyama, Elizabeth Lomas, Airlie Hilliard
2021	J	`jnl`	Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. 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
2021	J	`jnl`	The interrelation between data and AI ethics in the context of impact assessments. AI Ethics Emre Kazim, Adriano S. Koshiyama
2020	—	`conf`	Algorithms in future capital markets: a survey on AI, ML and associated algorithms in capital markets. ICAIF Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
2020	J	`jnl`	Neuroevolutionary learning in nonstationary environments. Appl. Intell. Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco
2020	J	`jnl`	QuantNet: Transferring Learning Across Systematic Trading Strategies. CoRR Adriano S. Koshiyama, Sebastian Flennerhag, Stefano B. Blumberg, Nick Firoozye, Philip C. Treleaven
2020	J	`jnl`	Unimodal optimization using a genetic-programming-based method with periodic boundary conditions. Genet. Program. Evolvable Mach. Rogerio C. B. L. Povoa, Adriano S. Koshiyama, Douglas Mota Dias, Patricia L. Souza, Bruno A. C. Horta
2019	J	`jnl`	A derivatives trading recommendation system: The mid-curve calendar spread case. Intell. Syst. Account. Finance Manag. Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
2019	J	`jnl`	Algorithms: Law and Regulation. Computer Philip C. Treleaven, Jeremy Barnett, Adriano S. Koshiyama
2019	J	`jnl`	Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3. Intell. Syst. Account. Finance Manag. Wenmei Yang, Adriano S. Koshiyama
2019	J	`jnl`	Augmenting correlation structures in spatial data using deep generative models. CoRR Konstantin Klemmer, Adriano S. Koshiyama, Sebastian Flennerhag
2019	J	`jnl`	Automatic synthesis of fuzzy systems: An evolutionary overview with a genetic programming perspective. WIREs Data Mining Knowl. Discov. Adriano S. Koshiyama, Ricardo Tanscheit, Marley M. B. R. Vellasco
2019	J	`jnl`	Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination. CoRR Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
2018	J	`jnl`	DetectA: abrupt concept drift detection in non-stationary environments. Appl. Soft Comput. Tatiana Escovedo, Adriano S. Koshiyama, André Vargas Abs da Cruz, Marley M. B. R. Vellasco
2018	B	`conf`	Mid-Curve Recommendation System: a Stacking Approach Through Neural Networks. IJCNN Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven
2018	B	`conf`	Multi-Modal Optimization by Multi-Gene Genetic Programming. CEC Rogerio C. B. L. Povoa, Adriano S. Koshiyama, Douglas Mota Dias, Patricia L. Souza, Bruno A. C. Horta
2016	—	`ch.`	A Novel Genetic Fuzzy System for Regression Problems. Fuzzy Technology Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit
2016	B	`conf`	AutoMFIS: Fuzzy Inference System for multivariate time series forecasting. FUZZ-IEEE Julio Ribeiro Coutinho, Ricardo Tanscheit, Marley M. B. R. Vellasco, Adriano S. Koshiyama
2016	—	`conf`	Automatic Synthesis of Fuzzy Inference Systems for Classification. IPMU (1) Jorge Paredes, Ricardo Tanscheit, Marley M. B. R. Vellasco, Adriano S. Koshiyama
2016	—	`conf`	RandomFIS: A Fuzzy Classification System for Big Datasets. INNS Conference on Big Data Oscar Samudio, Marley M. B. R. Vellasco, Ricardo Tanscheit, Adriano S. Koshiyama
2015	—	`conf`	A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems. IFSA-EUSFLAT Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit
2015	B	`conf`	A2D2: A pre-event abrupt drift detection. IJCNN Tatiana Escovedo, Adriano S. Koshiyama, Marley Maria Bernardes Rebuzzi Vellasco, Rubens Nascimento Melo, André Vargas Abs da Cruz
2015	B	`conf`	Development of a fuzzy rule-based system using Genetic Programming for Forecasting problems. FUZZ-IEEE Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit
2015	J	`jnl`	GPFIS-CLASS: A Genetic Fuzzy System based on Genetic Programming for classification problems. Appl. Soft Comput. Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit
2014	B	`conf`	Evolutionary features and parameter optimization of spiking neural networks for unsupervised learning. IJCNN Marco Silva, Adriano S. Koshiyama, Marley Maria Bernardes Rebuzzi Vellasco, Edson Cataldo
2014	J	`jnl`	GPFIS-Control: A Genetic Fuzzy System For Control Tasks. J. Artif. Intell. Soft Comput. Res. Adriano S. Koshiyama, Marley M. B. R. Vellasco, Ricardo Tanscheit
2014	B	`conf`	GPFIS-Control: A fuzzy Genetic model for Control tasks. FUZZ-IEEE Adriano S. Koshiyama, Tatiana Escovedo, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Tanscheit
2014	A	`conf`	Lithology discrimination using seismic elastic attributes: a genetic fuzzy classifier approach. GECCO Eric da Silva Praxedes, Adriano S. Koshiyama, Elita Selmara Abreu, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco
2014	B	`conf`	NEVE++: A neuro-evolutionary unlimited ensemble for adaptive learning. IJCNN Tatiana Escovedo, André Vargas Abs da Cruz, Adriano S. Koshiyama, Rubens Nascimento Melo, Marley Maria Bernardes Rebuzzi Vellasco
2014	—	`conf`	Quantum-Inspired Multi-gene Linear Genetic Programming Model for Regression Problems. BRACIS Guilherme Cesário Strachan, Adriano S. Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco
2013	B	`conf`	GPF-CLASS: A Genetic Fuzzy model for classification. IEEE Congress on Evolutionary Computation Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley M. B. R. Vellasco, Ricardo Tanscheit
2013	J	`jnl`	Learning under Concept Drift using a Neuro-Evolutionary Ensemble. Int. J. Comput. Intell. Appl. Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama
2013	B	`conf`	Using ensembles for adaptive learning: A comparative approach. IJCNN Tatiana Escovedo, André Vargas Abs da Cruz, Marley Maria Bernardes Rebuzzi Vellasco, Adriano S. Koshiyama
2012	J	`jnl`	Combining Forecasts: A Genetic Programming Approach. Int. J. Nat. Comput. Res. Adriano S. Koshiyama, Tatiana Escovedo, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco