332 results on '"Malcolm I. Heywood"'
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2. Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks.
3. Large language models and unsupervised feature learning: implications for log analysis.
4. Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker Tasks.
5. A Boosting Approach to Constructing an Ensemble Stack.
6. MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection.
7. Emergent Braitenberg-style Behaviours for Navigating the ViZDoom 'My Way Home' Labyrinth.
8. Assessing the impact of bag-of-words versus word-to-vector embedding methods and dimension reduction on anomaly detection from log files.
9. On the interaction between lexicase selection, modularity and data subsets.
10. Genetic programming with external memory in sequence recall tasks.
11. Benchmarking genetic programming in a multi-action reinforcement learning locomotion task.
12. Benchmarking Large Language Models for Log Analysis, Security, and Interpretation.
13. Exploring syntactical features for anomaly detection in application logs.
14. Benchmarking Large Language Models for Log Analysis, Security, and Interpretation.
15. Training regime influences to semi-supervised learning for insider threat detection.
16. Evolving Simple Solutions to the CIFAR-10 Benchmark using Tangled Program Graphs.
17. Log Abstraction for Information Security: Heuristics and Reproducibility.
18. Finding Simple Solutions to Multi-Task Visual Reinforcement Learning Problems with Tangled Program Graphs.
19. On the impact of tangled program graph marking schemes under the atari reinforcement learning benchmark.
20. Solving complex problems with coevolutionary algorithms.
21. Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks.
22. Stock selection heuristics for performing frequent intraday trading with genetic programming.
23. A Boosting Approach to Constructing an Ensemble Stack.
24. W. B. Langdon "Jaws 30".
25. A Model of External Memory for Navigation in Partially Observable Visual Reinforcement Learning Tasks.
26. Dynamic Insider Threat Detection Based on Adaptable Genetic Programming.
27. Network Analytics for Streaming Traffic Analysis.
28. Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model.
29. Evolving dota 2 shadow fiend bots using genetic programming with external memory.
30. Solving complex problems with coevolutionary algorithms.
31. Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning.
32. Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom.
33. Streaming Botnet traffic analysis using bio-inspired active learning.
34. Emergent Tangled Program Graphs in Multi-Task Learning.
35. Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial.
36. Benchmarking evolutionary computation approaches to insider threat detection.
37. A genetic algorithm for dynamic controller placement in software defined networking.
38. Solving complex problems with coevolutionary algorithms.
39. Unsupervised Monitoring of Networkand Service Behaviour Using SelfOrganizing Maps.
40. Emergent Tangled Graph Representations for Atari Game Playing Agents.
41. Properties of a GP active learning framework for streaming data with class imbalance.
42. Coevolving deep hierarchies of programs to solve complex tasks.
43. Multi-task learning in Atari video games with emergent tangled program graphs.
44. Solving complex problems with coevolutionary algorithms.
45. Return-oriented programme evolution with ROPER: a proof of concept.
46. Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker Tasks
47. Discovering Agent Behaviors Through Code Reuse: Examples From Half-Field Offense and Ms. Pac-Man.
48. On botnet detection with genetic programming under streaming data label budgets and class imbalance.
49. On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets.
50. On novelty driven evolution in Poker.
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