John Cartlidge

72 papers A* 3A 3B 2C 3Misc 1Journal 39Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	BondBERT: What We Learn when Assigning Sentiment in the Bond Market. ICAART (5) Toby Barter, Zheng Gao, Eva Christodoulaki, Jing Chen, John Cartlidge
2026	A*	`conf`	How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation. AAAI Zinuo You, Jin Zheng, John Cartlidge
2025	—	`conf`	Automated Risk Management Mechanisms in DeFi Lending Protocols: A Crosschain Comparative Analysis of Aave and Compound. BRAINS Erum Iftikhar, Wei Wei, John Cartlidge
2025	J	`jnl`	BondBERT: What we learn when assigning sentiment in the bond market. CoRR Toby Barter, Zheng Gao, Eva Christodoulaki, Jing Chen, John Cartlidge
2025	A	`conf`	Cross-Modal Temporal Fusion for Financial Market Forecasting. ECAI Yunhua Pei, John Cartlidge, Anandadeep Mandal, Daniel Gold, Enrique Marcilio, Riccardo Mazzon
2025	J	`jnl`	Cross-Modal Temporal Fusion for Financial Market Forecasting. CoRR Yunhua Pei, John Cartlidge, Anandadeep Mandal, Daniel Gold, Enrique Marcilio, Riccardo Mazzon
2025	J	`jnl`	Deep Reinforcement Learning for Optimal Asset Allocation Using DDPG with TiDE. CoRR Rongwei Liu, Jin Zheng, John Cartlidge
2025	—	`conf`	Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations. ICAART (2) Yunhua Pei, Jin Zheng, John Cartlidge
2025	J	`jnl`	How Wide and How Deep? Mitigating Over-Squashing of GNNs via Channel Capacity Constrained Estimation. CoRR Zinuo You, Jin Zheng, John Cartlidge
2025	—	`conf`	Improving Bayesian Optimization for Portfolio Management with an Adaptive Scheduling. ICAAI Zinuo You, John Cartlidge, Karen Elliott, Menghan Ge, Daniel Gold
2025	J	`jnl`	Intransitive Player Dominance and Market Inefficiency in Tennis Forecasting: A Graph Neural Network Approach. CoRR Lawrence Clegg, John Cartlidge
2025	J	`jnl`	Risk-aware black-box portfolio construction using Bayesian optimization with adaptive weighted Lagrangian estimator. CoRR Zinuo You, John Cartlidge, Karen Elliott, Menghan Ge, Daniel Gold
2025	J	`jnl`	VMDNet: Time Series Forecasting with Leakage-Free Samplewise Variational Mode Decomposition and Multibranch Decoding. CoRR Weibin Feng, Ran Tao, John Cartlidge, Jin Zheng
2025	J	`jnl`	zkMixer: A Configurable Zero-Knowledge Mixer with Proof of Innocence and Anti-Money Laundering Consensus Protocols. CoRR Theodoros Constantinides, John Cartlidge
2024	J	`jnl`	Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy. CoRR Seth Bullock, Nirav Ajmeri, Mike Batty, Michaela Black, John Cartlidge, Robert Challen, Cangxiong Chen, Jing Chen, Joan Condell, Leon Danon, Adam Dennett, Alison J. Heppenstall, Paul Marshall, Phil Morgan, Aisling Ann O'Kane, Laura G. E. Smith, Theresa Smith, Hywel T. P. Williams
2024	J	`jnl`	Artificial intelligence for collective intelligence: a national-scale research strategy. Knowl. Eng. Rev. Seth Bullock, Nirav Ajmeri, Mike Batty, Michaela Black, John Cartlidge, Robert Challen, Cangxiong Chen, Jing Chen, Joan Condell, Leon Danon, Adam Dennett, Alison J. Heppenstall, Paul Marshall, Phil Morgan, Aisling Ann O'Kane, Laura G. E. Smith, Theresa Smith, Hywel T. P. Williams
2024	—	`conf`	DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. ICAART (2) Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
2024	J	`jnl`	DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. CoRR Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
2024	J	`jnl`	Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations. CoRR Yunhua Pei, Jin Zheng, John Cartlidge
2024	Misc	`conf`	Multi-Relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification. ICASSP Zinuo You, Pengju Zhang, Jin Zheng, John Cartlidge
2024	J	`jnl`	Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification. CoRR Zinuo You, Pengju Zhang, Jin Zheng, John Cartlidge
2024	—	`conf`	Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach. ICAART (Revised Selected Paper, 2) Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
2024	J	`jnl`	Neural stochastic agent-based limit order book simulation with neural point process and diffusion probabilistic model. Intell. Syst. Account. Finance Manag. Zijian Shi, John Cartlidge
2024	J	`jnl`	Simulation of Social Media-Driven Bubble Formation in Financial Markets using an Agent-Based Model with Hierarchical Influence Network. CoRR Gonzalo Bohorquez, John Cartlidge
2023	A	`conf`	Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology. AAMAS Zijian Shi, John Cartlidge
2023	J	`jnl`	Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology. CoRR Zijian Shi, John Cartlidge
2023	J	`jnl`	Not feeling the buzz: Correction study of mispricing and inefficiency in online sportsbooks. CoRR Lawrence Clegg, John Cartlidge
2023	J	`jnl`	Using Coevolution and Substitution of the Fittest for Health and Well-Being Recommender Systems. SN Comput. Sci. Hugo Alcaraz-Herrera, John Cartlidge
2022	J	`jnl`	All for one and one for all: Fully decentralised privacy-preserving dark pool trading using multi-party computation. IACR Cryptol. ePrint Arch. Mariana Botelho da Gama, John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui
2022	—	`conf`	Challenges Faced by Industries and Their Potential Solutions in Deploying Machine Learning Applications. CCWC Raj Mani Shukla, John Cartlidge
2022	J	`jnl`	EvoRecSys: Evolutionary framework for health and well-being recommender systems. User Model. User Adapt. Interact. Hugo Alcaraz-Herrera, John Cartlidge, Zoi Toumpakari, Max Western, Iván Palomares
2022	B	`conf`	Exploration of Ontological Representations for Evolutionary Computation. CEC Hugo Alcaraz-Herrera, John Cartlidge
2022	—	`conf`	Kicking-the-Bucket: Fast Privacy-Preserving Trading Using Buckets. Financial Cryptography Mariana Botelho da Gama, John Cartlidge, Antigoni Polychroniadou, Nigel P. Smart, Younes Talibi Alaoui
2022	A*	`conf`	State Dependent Parallel Neural Hawkes Process for Limit Order Book Event Stream Prediction and Simulation. KDD Zijian Shi, John Cartlidge
2022	J	`jnl`	Using coevolution and substitution of the fittest for health and well-being recommender systems. CoRR Hugo Alcaraz-Herrera, John Cartlidge
2021	—	`conf`	Block Auction: A General Blockchain Protocol for Privacy-Preserving and Verifiable Periodic Double Auctions. Blockchain Theodoros Constantinides, John Cartlidge
2021	J	`jnl`	Geographical and temporal huff model calibration using taxi trajectory data. GeoInformatica Shuhui Gong, John Cartlidge, Ruibin Bai, Yang Yue, Qingquan Li, Guoping Qiu
2021	J	`jnl`	Kicking-the-Bucket: Fast Privacy-Preserving Trading Using Buckets. IACR Cryptol. ePrint Arch. Mariana Botelho da Gama, John Cartlidge, Antigoni Polychroniadou, Nigel P. Smart, Younes Talibi Alaoui
2021	J	`jnl`	Multi-party computation mechanism for anonymous equity block trading: A secure implementation of turquoise plato uncross. Intell. Syst. Account. Finance Manag. John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui
2021	C	`conf`	Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms. IJCCI Hugo Alcaraz-Herrera, John Cartlidge
2021	J	`jnl`	Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms. CoRR Hugo Alcaraz-Herrera, John Cartlidge
2021	A*	`conf`	The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network. AAAI Zijian Shi, Yu Chen, John Cartlidge
2021	J	`jnl`	The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network. CoRR Zijian Shi, Yu Chen, John Cartlidge
2021	—	`conf`	The Limit Order Book Recreation Model (LOBRM): An Extended Analysis. ECML/PKDD (4) Zijian Shi, John Cartlidge
2021	J	`jnl`	The Limit Order Book Recreation Model (LOBRM): An Extended Analysis. CoRR Zijian Shi, John Cartlidge
2021	J	`jnl`	Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders. CoRR Henry Hanifan, Ben Watson, John Cartlidge, Dave Cliff
2020	J	`jnl`	Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation. Int. J. Geogr. Inf. Sci. Shuhui Gong, John Cartlidge, Ruibin Bai, Yang Yue, Qingquan Li, Guoping Qiu
2020	—	`conf`	Fools Rush In: Competitive Effects of Reaction Time in Automated Trading. ICAART (1) Henry Hanifan, John Cartlidge
2020	J	`jnl`	Multi-Party Computation Mechanism for Anonymous Equity Block Trading: A Secure Implementation of Turquoise Plato Uncross. IACR Cryptol. ePrint Arch. John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui
2020	—	`conf`	Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders. ICAART (Revised Selected Papers) Henry Hanifan, Ben Watson, John Cartlidge, Dave Cliff
2019	J	`jnl`	Fools Rush In: Competitive Effects of Reaction Time in Automated Trading. CoRR Henry Hanifan, John Cartlidge
2019	A	`conf`	MPC Joins The Dark Side. AsiaCCS John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui
2018	—	`conf`	Agent-Based Model Exploration of Latency Arbitrage in Fragmented Financial Markets. SSCI Matthew Duffin, John Cartlidge
2018	J	`jnl`	MPC Joins the Dark Side. IACR Cryptol. ePrint Arch. John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui
2018	J	`jnl`	Optimisation of transportation service network using κ-node large neighbourhood search. Comput. Oper. Res. Ruibin Bai, John R. Woodward, Nachiappan Subramanian, John Cartlidge
2017	—	`conf`	Geographical Huff Model Calibration using Taxi Trajectory Data. IWCTS@SIGSPATIAL Shuhui Gong, John Cartlidge, Yang Yue, Guoping Qiu, Qingquan Li, Jingyu Xin
2014	J	`jnl`	Behavioural Investigations of Financial Trading Agents Using Exchange Portal (ExPo). Trans. Comput. Collect. Intell. Steve Stotter, John Cartlidge, Dave Cliff
2014	J	`jnl`	Correcting a financial brokerage model for cloud computing: closing the window of opportunity for commercialisation. J. Cloud Comput. John Cartlidge, Philip Clamp
2014	—	`conf`	Trading Experiments using Financial Agents in a Simulated Cloud Computing Commodity Market. ICAART (2) John Cartlidge
2013	C	`conf`	Comparison of Cloud Middleware Protocols and Subscription Network Topologies using CReST, the Cloud Research Simulation Toolkit - The Three Truths of Cloud Computing are: Hardware Fails, Software has Bugs, and People Make Mistakes. CLOSER John Cartlidge, Dave Cliff
2013	—	`conf`	Evidencing the "Robot Phase Transition" in Human-agent Experimental Financial Markets. ICAART (1) John Cartlidge, Dave Cliff
2013	—	`conf`	Exploring Assignment-Adaptive (ASAD) Trading Agents in Financial Market Experiments. ICAART (1) Steve Stotter, John Cartlidge, Dave Cliff
2013	—	`conf`	Flying by the seat of their pants: what can high frequency trading learn from aviation? ATACCS Gordon D. Baxter, John Cartlidge
2012	—	`conf`	Too Fast Too Furious - Faster Financial-market Trading Agents Can Give Less Efficient Markets. ICAART (2) John Cartlidge, Charlotte Szostek, Marco De Luca, Dave Cliff
2011	J	`jnl`	Autonomous Virulence Adaptation Improves Coevolutionary Optimization. IEEE Trans. Evol. Comput. John Cartlidge, Djamel Ait-Boudaoud
2011	J	`jnl`	Modelling Resilience in Cloud-Scale Data Centres CoRR John Cartlidge, Ilango Sriram
2008	C	`conf`	Dynamically adapting parasite virulence to combat coevolutionary disengagement. ALIFE John Cartlidge
2004	J	`jnl`	Combating Coevolutionary Disengagement by Reducing Parasite Virulence. Evol. Comput. John Cartlidge, Seth Bullock
2004	—	`—`	Rules of engagement : competitive coevolutionary dynamics in computational systems. John Cartlidge
2004	J	`jnl`	Unpicking Tartan CIAO Plots: Understanding Irregular Coevolutionary Cycling. Adapt. Behav. John Cartlidge, Seth Bullock
2003	—	`conf`	Caring versus Sharing: How to Maintain Engagement and Diversity in Coevolving Populations. ECAL John Cartlidge, Seth Bullock
2002	B	`conf`	Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization. IEEE Congress on Evolutionary Computation John Cartlidge, Seth Bullock