A stream processing network. - D. Morris; Philip C. Treleaven (Programming Languages and Compilers for Parallel and Vector Machines, 1975)

Reliability Issues in Computing System Design. - Brian Randell; P. A. Lee; Philip C. Treleaven (ACM Comput. Surv., 1978)

Exploitng Program Concurrency in Computing Systems. - Philip C. Treleaven (Computer, 1979)

A Multi-Processor Reduction Machine for User-Defined Reduction Languages. - Philip C. Treleaven; Geoffrey F. Mole (ISCA, 1980)

VLSI: machine architecture and very high level languages. - Philip C. Treleaven (SIGARCH Comput. Archit. News, 1980)

Decentralized Computation. - Philip C. Treleaven; Richard P. Hopkins (ISCA, 1981)

A recursive computer architecture for VLSI. - Philip C. Treleaven; Richard P. Hopkins (ISCA, 1982)

Towards a Decentralised General-Purpose Computer. - Philip C. Treleaven (Fachtagung über Programmiersprachen, 1982)

Combining Data Flow and Control Flow Computing. - Philip C. Treleaven; Richard P. Hopkins; Paul W. Rautenbach (Comput. J., 1982)

VLSI Processor Architectures. - Philip C. Treleaven (Computer, 1982)

Japan's Fifth-Generation Computer Systems. - Philip C. Treleaven; Isabel Gouveia Lima (Computer, 1982)

Data-Driven and Demand-Driven Computer Architecture. - Philip C. Treleaven; David R. Brownbridge; Richard P. Hopkins (ACM Comput. Surv., 1982)

Decentralised Control Flow Programming. - Isabel Gouveia Lima; David Mundy; Philip C. Treleaven (IFIP Congress, 1983)

The New Generation of Computer Architecture - Philip C. Treleaven (ISCA, 1983)

Decentralised control flow - based on UNIX. - Isabel Gouveia Lima; Richard P. Hopkins; Lindsay Marshall; David Mundy; Philip C. Treleaven (SIGPLAN, 1983)

Reduced-instruction set multi-microcomputer system. - Lewis Foti; David English; Richard P. Hopkins; David Kinniment; Philip C. Treleaven; Wang Long Wang (AFIPS National Computer Conference, 1984)

Future Computers: Logic, Data Flow, ..., Control Flow? - Philip C. Treleaven; Isabel Gouveia Lima (Computer, 1984)

Fifth generation and VLSI architectures. - Philip C. Treleaven; Apostolos Nikolaos Refenes (Future Gener. Comput. Syst., 1985)

Control-driven, data-driven and demand-driven computer architecture. - Philip C. Treleaven (Parallel Comput., 1985)

Computer Architectures for Artificial Intelligence. - Philip C. Treleaven; Apostolos Nikolaos Refenes; Kenneth J. Lees; Stephen C. McCabe (Future Parallel Computers, 1986)

Future Parallel Computers. - Philip C. Treleaven (CONPAR, 1986)

Parallel architecture overview. - Philip C. Treleaven (Parallel Comput., 1988)

PARLE: A Parallel Target Language for Integrating Symbolic and Numeric Processing. - Apostolos Nikolaos Refenes; Eugene Eberbach; Stephen C. McCabe; Philip C. Treleaven (PARLE (2), 1989)

Neurocomputers. - Philip C. Treleaven (Neurocomputing, 1989)

VLSI architectures for neural networks. - Philip C. Treleaven; Marco Aurélio Cavalcanti Pacheco; Marley M. B. R. Vellasco (IEEE Micro, 1989)

Neural Computing and the GALATEA Project. - Philip C. Treleaven (PARLE (1), 1991)

Europe 1992 and Its Impact on Information Technology. - Philip C. Treleaven (Computer, 1991)

An object-oriented hybrid environment for integrating neural networks and experts systems. - Sukhdev Singh Khebbal; Philip C. Treleaven (ANNES, 1993)

A framework for hybrid intelligent systems. - Paulo V. Rocha; Sukhdev Singh Khebbal; Philip C. Treleaven (ANNES, 1993)

High Level Syntheses of Neural Network Chips. - Meyer E. Nigri; Philip C. Treleaven (IWANN, 1993)

A Risc Architecture to Support Neural Net Simulation. - Marco Aurélio Cavalcanti Pacheco; Philip C. Treleaven (IWANN, 1993)

Hybrid Programming Environments. - Philip C. Treleaven; Paulo V. Rocha (IWANN, 1993)

The Generic Neuron Architectural Framework for the Automatic Generation of ASICs. - Marley M. B. R. Vellasco; Philip C. Treleaven (IWANN, 1993)

A Concurrent Object-Oriented Model for Parallel Distributed-Memory Architectures. - A. T. Balou; Philip C. Treleaven (PARCO, 1993)

GAME: A Framework for Programming Genetic Algorithms Applications. - José L. Ribeiro Filho; Philip C. Treleaven (International Conference on Evolutionary Computation, 1994)

Genetic-Algorithm Programming Environments. - José L. Ribeiro Filho; Philip C. Treleaven; Cesare Alippi (Computer, 1994)

Building Symbolic Information for 3D Human Body Modeling from Range Data. - Laura Daye Dekker; Ioannis Douros; Bernard F. Buxton; Philip C. Treleaven (3DIM, 1999)

Modelling Terrorism. - Timothy William Hackworth; Philip C. Treleaven (ICNSC, 2007)

3D Body Scanning and Healthcare Applications. - Philip C. Treleaven; Jonathan Wells (Computer, 2008)

Computational Finance. - Chaiyakorn Yingsaeree; Giuseppe Nuti; Philip C. Treleaven (Computer, 2010)

Algorithmic Trading. - Giuseppe Nuti; Mahnoosh Mirghaemi; Philip C. Treleaven; Chaiyakorn Yingsaeree (Computer, 2011)

Continuous hyperparameter optimization for large-scale recommender systems. - Simon Chan; Philip C. Treleaven; Licia Capra (IEEE BigData, 2013)

Algorithmic trading review. - Philip C. Treleaven; Michal Galas; Vidhi Lalchand (Commun. ACM, 2013)

Beating the S&P 500 index - A successful neural network approach. - Mininder Sethi; Philip C. Treleaven; Sebastian Del Bano Rollin (IJCNN, 2014)

A graphical model framework for stock portfolio construction with application to a Neural Network based trading strategy. - Mininder Sethi; Philip C. Treleaven (IJCNN, 2015)

Social media analytics: a survey of techniques, tools and platforms. - Bogdan Batrinca; Philip C. Treleaven (AI Soc., 2015)

In Quest of Significance: Identifying Types of Twitter Sentiment Events that Predict Spikes in Sales. - Olga Kolchyna; Thársis T. P. Souza; Tomaso Aste; Philip C. Treleaven (CoRR, 2015)

Twitter Sentiment Analysis. - Olga Kolchyna; Thársis T. P. Souza; Philip C. Treleaven; Tomaso Aste (CoRR, 2015)

Twitter Sentiment Analysis Applied to Finance: A Case Study in the Retail Industry. - Thársis Tuani Pinto Souza; Olga Kolchyna; Philip C. Treleaven; Tomaso Aste (CoRR, 2015)

Blockchain Technology in Finance. - Philip C. Treleaven; Richard Gendal Brown; Danny Yang (Computer, 2017)

Mid-Curve Recommendation System: a Stacking Approach Through Neural Networks. - Adriano S. Koshiyama; Nick Firoozye; Philip C. Treleaven (IJCNN, 2018)

Algorithmic Dispute Resolution - The Automation of Professional Dispute Resolution Using AI and Blockchain Technologies. - Jeremy Barnett; Philip C. Treleaven (Comput. J., 2018)

A Machine Learning-based Recommendation System for Swaptions Strategies. - Adriano Soares Koshiyama; Nick Firoozye; Philip C. Treleaven (CoRR, 2018)

Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies. - Zeynep Engin; Philip C. Treleaven (Comput. J., 2019)

Algorithms: Law and Regulation. - Philip C. Treleaven; Jeremy Barnett; Adriano S. Koshiyama (Computer, 2019)

Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination. - Adriano S. Koshiyama; Nick Firoozye; Philip C. Treleaven (CoRR, 2019)

A derivatives trading recommendation system: The mid-curve calendar spread case. - Adriano S. Koshiyama; Nick Firoozye; Philip C. Treleaven (Intell. Syst. Account. Finance Manag., 2019)

Algorithms in future capital markets: a survey on AI, ML and associated algorithms in capital markets. - Adriano S. Koshiyama; Nick Firoozye; Philip C. Treleaven (ICAIF, 2020)

QuantNet: Transferring Learning Across Systematic Trading Strategies. - Adriano S. Koshiyama; Sebastian Flennerhag; Stefano B. Blumberg; Nick Firoozye; Philip C. Treleaven (CoRR, 2020)

ALGA: Automatic Logic Gate Annotator for Building Financial News Events Detectors. - Julija Bainiaksinaite; Nikolaos Kaplis; Philip C. Treleaven (HICSS, 2021)

Graph neural network for merger and acquisition prediction. - Yinfei Li; Jiafeng Shou; Philip C. Treleaven; Jun Wang (ICAIF, 2021)

Real Estate Data Marketplace. - Philip C. Treleaven; Jeremy Barnett; Andrew Knight; Will Serrano (AI Ethics, 2021)

Future Computers: Digital, Quantum, Biological. - Philip C. Treleaven (Computer, 2021)

Multiscale Governance. - David Pastor-Escuredo; Philip C. Treleaven (CoRR, 2021)

ANN, LSTM, and SVR for Gold Price Forecasting. - Jiacheng Yang; Denis De Montigny; Philip C. Treleaven (CIFEr, 2022)

Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms. - Adriano Soares Koshiyama; Emre Kazim; Philip C. Treleaven (Computer, 2022)

Federated Learning: The Pioneering Distributed Machine Learning and Privacy-Preserving Data Technology. - Philip C. Treleaven; Malgorzata Smietanka; Hirsh Pithadia (Computer, 2022)

Machine Learning Modeling to Evaluate the Value of Football Players. - Chenyao Li; Stylianos Kampakis; Philip C. Treleaven (CoRR, 2022)

Multi-scale governance and data for sustainable development. - David Pastor-Escuredo; Andrea Gardeazabal; Jawoo Koo; Asuka Imai; Philip C. Treleaven (Frontiers Big Data, 2022)

Decentralized Token Economy Theory (DeTEcT). - Rem Sadykhov; Geoffrey Goodell; Denis De Montigny; Martin Schoernig; Philip C. Treleaven (CoRR, 2023)

Limit Order Book Dynamics and Order Size Modelling Using Compound Hawkes Process. - Konark Jain; Nick Firoozye; Jonathan Kochems; Philip C. Treleaven (CoRR, 2023)

Decentralized token economy theory (DeTEcT): token pricing, stability and governance for token economies. - Rem Sadykhov; Geoffrey Goodell; Denis De Montigny; Martin Schoernig; Philip C. Treleaven (Frontiers Blockchain, 2023)

Investigating algorithmic bias in student progress monitoring. - Jamiu Adekunle Idowu; Adriano Soares Koshiyama; Philip C. Treleaven (Comput. Educ. Artif. Intell., 2024)

The Effect of Model Size on LLM Post-hoc Explainability via LIME. - Henning Heyen; Amy Widdicombe; Noah Y. Siegel; María Pérez-Ortiz 001; Philip C. Treleaven (CoRR, 2024)

BERT vs GPT for financial engineering. - Edward Sharkey; Philip C. Treleaven (CoRR, 2024)

From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. - Navya Jain; Zekun Wu 003; Cristian E. Muñoz; Airlie Hilliard; Adriano S. Koshiyama; Emre Kazim; Philip C. Treleaven (CoRR, 2024)

THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models. - Mengfei Liang; Archish Arun; Zekun Wu 003; Cristian E. Muñoz; Jonathan Lutch; Emre Kazim; Adriano S. Koshiyama; Philip C. Treleaven (CoRR, 2024)

HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection. - Theo King; Zekun Wu 003; Adriano S. Koshiyama; Emre Kazim; Philip C. Treleaven (CoRR, 2024)

DeTEcT: dynamic and probabilistic parameters extension. - Rem Sadykhov; Geoffrey Goodell; Philip C. Treleaven (Frontiers Blockchain, 2024)

Venture Scientists and Technology Entrepreneurship. - Sumi Helal; Philip C. Treleaven (Computer, 2024)

Educating Venture Scientists: Inspiring Students and Young Professionals To Commercialize Their Deep Tech Research Supported by Their Institutions. - Philip C. Treleaven (Computer, 2024)

Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. - Reem I. Masoud; Ziquan Liu; Martin Ferianc; Philip C. Treleaven; Miguel Rodrigues 001 (COLING, 2025)

From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs. - Navya Jain; Zekun Wu 003; Cristian E. Muñoz Villalobos; Airlie Hilliard; Xin Guan; Adriano S. Koshiyama; Emre Kazim; Philip C. Treleaven (NAACL (Findings), 2025)

HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications. - Rishi Kalra; Zekun Wu 003; Ayesha Gulley; Airlie Hilliard; Xin Guan; Adriano S. Koshiyama; Philip C. Treleaven (NAACL (Industry Track), 2025)

The Algorithmic State Architecture (ASA): An Integrated Framework for AI-Enabled Government. - Zeynep Engin; Jon Crowcroft; David Hand; Philip C. Treleaven (CoRR, 2025)

Cultural Alignment in Large Language Models Using Soft Prompt Tuning. - Reem I. Masoud; Martin Ferianc; Philip C. Treleaven; Miguel Rodrigues 001 (CoRR, 2025)