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2020 – today
- 2024
[j12]Zijian Shi, John Cartlidge
:
Neural stochastic agent-based limit order book simulation with neural point process and diffusion probabilistic model. Intell. Syst. Account. Finance Manag. 31(2) (2024)- [c25]Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge:
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. ICAART (2) 2024: 431-442 - [c24]Zinuo You, Pengju Zhang, Jin Zheng, John Cartlidge:
Multi-Relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification. ICASSP 2024: 6545-6549 - [i16]Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge:
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. CoRR abs/2401.01846 (2024) - [i15]Zinuo You, Pengju Zhang, Jin Zheng, John Cartlidge:
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification. CoRR abs/2401.05430 (2024) - [i14]Gonzalo Bohorquez, John Cartlidge:
Simulation of Social Media-Driven Bubble Formation in Financial Markets using an Agent-Based Model with Hierarchical Influence Network. CoRR abs/2409.00742 (2024) - 2023
- [j11]Hugo Alcaraz-Herrera, John Cartlidge:
Using Coevolution and Substitution of the Fittest for Health and Well-Being Recommender Systems. SN Comput. Sci. 4(3): 319 (2023) - [c23]Zijian Shi, John Cartlidge:
Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology. AAMAS 2023: 2481-2483 - [i13]Zijian Shi, John Cartlidge:
Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology. CoRR abs/2303.00080 (2023) - [i12]Lawrence Clegg, John Cartlidge:
Not feeling the buzz: Correction study of mispricing and inefficiency in online sportsbooks. CoRR abs/2306.01740 (2023) - 2022
- [j10]Hugo Alcaraz-Herrera, John Cartlidge, Zoi Toumpakari, Max Western, Iván Palomares:
EvoRecSys: Evolutionary framework for health and well-being recommender systems. User Model. User Adapt. Interact. 32(5): 883-921 (2022) - [c22]Raj Mani Shukla, John Cartlidge:
Challenges Faced by Industries and Their Potential Solutions in Deploying Machine Learning Applications. CCWC 2022: 119-124 - [c21]Hugo Alcaraz-Herrera, John Cartlidge:
Exploration of Ontological Representations for Evolutionary Computation. CEC 2022: 1-8 - [c20]Mariana Botelho da Gama, John Cartlidge, Antigoni Polychroniadou, Nigel P. Smart, Younes Talibi Alaoui:
Kicking-the-Bucket: Fast Privacy-Preserving Trading Using Buckets. Financial Cryptography 2022: 20-37 - [c19]Zijian Shi, John Cartlidge:
State Dependent Parallel Neural Hawkes Process for Limit Order Book Event Stream Prediction and Simulation. KDD 2022: 1607-1615 - [i11]Hugo Alcaraz-Herrera, John Cartlidge:
Using coevolution and substitution of the fittest for health and well-being recommender systems. CoRR abs/2211.00414 (2022) - [i10]Mariana Botelho da Gama, John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui:
All for one and one for all: Fully decentralised privacy-preserving dark pool trading using multi-party computation. IACR Cryptol. ePrint Arch. 2022: 923 (2022) - 2021
- [j9]Shuhui Gong, John Cartlidge, Ruibin Bai, Yang Yue, Qingquan Li, Guoping Qiu:
Geographical and temporal huff model calibration using taxi trajectory data. GeoInformatica 25(3): 485-512 (2021) - [j8]John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui:
Multi-party computation mechanism for anonymous equity block trading: A secure implementation of turquoise plato uncross. Intell. Syst. Account. Finance Manag. 28(4): 239-267 (2021) - [c18]Zijian Shi, Yu Chen, John Cartlidge:
The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network. AAAI 2021: 548-556 - [c17]Theodoros Constantinides, John Cartlidge:
Block Auction: A General Blockchain Protocol for Privacy-Preserving and Verifiable Periodic Double Auctions. Blockchain 2021: 513-520 - [c16]Hugo Alcaraz-Herrera, John Cartlidge:
Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms. IJCCI 2021: 59-67 - [c15]Zijian Shi, John Cartlidge:
The Limit Order Book Recreation Model (LOBRM): An Extended Analysis. ECML/PKDD (4) 2021: 204-220 - [i9]Henry Hanifan, Ben Watson, John Cartlidge, Dave Cliff:
Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders. CoRR abs/2103.00600 (2021) - [i8]Zijian Shi, Yu Chen, John Cartlidge:
The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network. CoRR abs/2103.01670 (2021) - [i7]Zijian Shi, John Cartlidge:
The Limit Order Book Recreation Model (LOBRM): An Extended Analysis. CoRR abs/2107.00534 (2021) - [i6]Hugo Alcaraz-Herrera, John Cartlidge:
Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms. CoRR abs/2108.03156 (2021) - [i5]Mariana Botelho da Gama, John Cartlidge, Antigoni Polychroniadou, Nigel P. Smart, Younes Talibi Alaoui:
Kicking-the-Bucket: Fast Privacy-Preserving Trading Using Buckets. IACR Cryptol. ePrint Arch. 2021: 1549 (2021) - 2020
- [j7]Shuhui Gong, John Cartlidge, Ruibin Bai, Yang Yue, Qingquan Li, Guoping Qiu:
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. 34(6): 1210-1234 (2020) - [c14]Henry Hanifan, John Cartlidge:
Fools Rush In: Competitive Effects of Reaction Time in Automated Trading. ICAART (1) 2020: 82-93 - [c13]Henry Hanifan, Ben Watson, John Cartlidge, Dave Cliff:
Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders. ICAART (Revised Selected Papers) 2020: 149-170 - [i4]John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui:
Multi-Party Computation Mechanism for Anonymous Equity Block Trading: A Secure Implementation of Turquoise Plato Uncross. IACR Cryptol. ePrint Arch. 2020: 662 (2020)
2010 – 2019
- 2019
- [c12]John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui:
MPC Joins The Dark Side. AsiaCCS 2019: 148-159 - [i3]Henry Hanifan, John Cartlidge:
Fools Rush In: Competitive Effects of Reaction Time in Automated Trading. CoRR abs/1912.02775 (2019) - 2018
- [j6]Ruibin Bai, John R. Woodward, Nachiappan Subramanian, John Cartlidge:
Optimisation of transportation service network using κ-node large neighbourhood search. Comput. Oper. Res. 89: 193-205 (2018) - [c11]Matthew Duffin, John Cartlidge:
Agent-Based Model Exploration of Latency Arbitrage in Fragmented Financial Markets. SSCI 2018: 2312-2320 - [i2]John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui:
MPC Joins the Dark Side. IACR Cryptol. ePrint Arch. 2018: 1045 (2018) - 2017
- [c10]Shuhui Gong, John Cartlidge, Yang Yue, Guoping Qiu, Qingquan Li, Jingyu Xin:
Geographical Huff Model Calibration using Taxi Trajectory Data. IWCTS@SIGSPATIAL 2017: 30-35 - 2014
- [j5]John Cartlidge, Philip Clamp:
Correcting a financial brokerage model for cloud computing: closing the window of opportunity for commercialisation. J. Cloud Comput. 3: 2 (2014) - [j4]Steve Stotter, John Cartlidge, Dave Cliff:
Behavioural Investigations of Financial Trading Agents Using Exchange Portal (ExPo). Trans. Comput. Collect. Intell. 17: 22-45 (2014) - [c9]John Cartlidge:
Trading Experiments using Financial Agents in a Simulated Cloud Computing Commodity Market. ICAART (2) 2014: 311-317 - 2013
- [c8]Gordon D. Baxter, John Cartlidge:
Flying by the seat of their pants: what can high frequency trading learn from aviation? ATACCS 2013: 56-65 - [c7]John Cartlidge, Dave Cliff:
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 2013: 58-68 - [c6]Steve Stotter, John Cartlidge, Dave Cliff:
Exploring Assignment-Adaptive (ASAD) Trading Agents in Financial Market Experiments. ICAART (1) 2013: 77-88 - [c5]John Cartlidge, Dave Cliff:
Evidencing the "Robot Phase Transition" in Human-agent Experimental Financial Markets. ICAART (1) 2013: 345-352 - 2012
- [c4]John Cartlidge, Charlotte Szostek, Marco De Luca, Dave Cliff:
Too Fast Too Furious - Faster Financial-market Trading Agents Can Give Less Efficient Markets. ICAART (2) 2012: 126-135 - 2011
- [j3]John Cartlidge, Djamel Ait-Boudaoud:
Autonomous Virulence Adaptation Improves Coevolutionary Optimization. IEEE Trans. Evol. Comput. 15(2): 215-229 (2011) - [i1]John Cartlidge, Ilango Sriram:
Modelling Resilience in Cloud-Scale Data Centres. CoRR abs/1106.5457 (2011)
2000 – 2009
- 2008
- [c3]John Cartlidge:
Dynamically adapting parasite virulence to combat coevolutionary disengagement. ALIFE 2008: 757 - 2004
- [b1]John Cartlidge:
Rules of engagement : competitive coevolutionary dynamics in computational systems. University of Leeds, UK, 2004 - [j2]John Cartlidge, Seth Bullock:
Unpicking Tartan CIAO Plots: Understanding Irregular Coevolutionary Cycling. Adapt. Behav. 12(2): 69-92 (2004) - [j1]John Cartlidge, Seth Bullock:
Combating Coevolutionary Disengagement by Reducing Parasite Virulence. Evol. Comput. 12(2): 193-222 (2004) - 2003
- [c2]John Cartlidge, Seth Bullock:
Caring versus Sharing: How to Maintain Engagement and Diversity in Coevolving Populations. ECAL 2003: 299-308 - 2002
- [c1]John Cartlidge, Seth Bullock:
Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization. IEEE Congress on Evolutionary Computation 2002: 1420-1425
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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