105 results on '"John Cartlidge"'
Search Results
2. DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction.
3. Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations.
4. Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy.
5. Simulation of Social Media-Driven Bubble Formation in Financial Markets using an Agent-Based Model with Hierarchical Influence Network.
6. Neural stochastic agent-based limit order book simulation with neural point process and diffusion probabilistic model.
7. Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology.
8. Challenges Faced by Industries and Their Potential Solutions in Deploying Machine Learning Applications.
9. State Dependent Parallel Neural Hawkes Process for Limit Order Book Event Stream Prediction and Simulation.
10. Kicking-the-Bucket: Fast Privacy-Preserving Trading Using Buckets.
11. Exploration of Ontological Representations for Evolutionary Computation.
12. EvoRecSys: Evolutionary framework for health and well-being recommender systems.
13. Not feeling the buzz: Correction study of mispricing and inefficiency in online sportsbooks.
14. Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms.
15. The Limit Order Book Recreation Model (LOBRM): An Extended Analysis.
16. The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network.
17. Block Auction: A General Blockchain Protocol for Privacy-Preserving and Verifiable Periodic Double Auctions.
18. Fools Rush In: Competitive Effects of Reaction Time in Automated Trading.
19. Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders.
20. Multi-party computation mechanism for anonymous equity block trading: A secure implementation of turquoise plato uncross.
21. Geographical and temporal huff model calibration using taxi trajectory data.
22. Using coevolution and substitution of the fittest for health and well-being recommender systems.
23. Using Coevolution and Substitution of the Fittest for Health and Well-Being Recommender Systems.
24. MPC Joins The Dark Side.
25. Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation.
26. Agent-Based Model Exploration of Latency Arbitrage in Fragmented Financial Markets.
27. Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders.
28. All for one and one for all: Fully decentralised privacy-preserving dark pool trading using multi-party computation.
29. Geographical Huff Model Calibration using Taxi Trajectory Data.
30. Optimisation of transportation service network using κ-node large neighbourhood search.
31. Kicking-the-Bucket: Fast Privacy-Preserving Trading Using Buckets.
32. Fools Rush In: Competitive Effects of Reaction Time in Automated Trading.
33. Trading Experiments using Financial Agents in a Simulated Cloud Computing Commodity Market.
34. 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.
35. Flying by the seat of their pants: what can high frequency trading learn from aviation?
36. Exploring Assignment-Adaptive (ASAD) Trading Agents in Financial Market Experiments.
37. Evidencing the 'Robot Phase Transition' in Human-agent Experimental Financial Markets.
38. Too Fast Too Furious - Faster Financial-market Trading Agents Can Give Less Efficient Markets.
39. Multi-Party Computation Mechanism for Anonymous Equity Block Trading: A Secure Implementation of Turquoise Plato Uncross.
40. Behavioural Investigations of Financial Trading Agents Using Exchange Portal (ExPo).
41. Caring versus Sharing: How to Maintain Engagement and Diversity in Coevolving Populations.
42. Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization.
43. Autonomous Virulence Adaptation Improves Coevolutionary Optimization.
44. AgileML: A Machine Learning Project Development Pipeline Incorporating Active Consumer Engagement
45. Unpicking Tartan CIAO Plots: Understanding Irregular Coevolutionary Cycling.
46. Combating Coevolutionary Disengagement by Reducing Parasite Virulence.
47. MPC Joins the Dark Side.
48. Modelling Resilience in Cloud-Scale Data Centres
49. Data-Driven Agent-Based Model of Intra-Urban Activities
50. Dynamically adapting parasite virulence to combat coevolutionary disengagement.
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