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2020 – today
- 2025
[j3]Daniil Osudin
, Alena Denisova, Christopher Child:
Non-Euclidean Video Games: Exploring Player Perceptions and Experiences Inside Impossible Spaces. IEEE Trans. Games 17(1): 115-124 (2025)- [c12]Chris Child, Lam Ngo:
DeeP-Mod: Deep Dynamic Programming Based Environment Modelling Using Feature Extraction. ISNN 2025: 27-38 - [i4]Chris Child, Lam Ngo:
DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction. CoRR abs/2504.20535 (2025) - [i3]Syed Mahbubul Huq, Daniel Brito, Daniel Sikar, Chris Child, Tillman Weyde, Rajesh Mojumder:
Evaluating LLMs for Combinatorial Optimization: One-Phase and Two-Phase Heuristics for 2D Bin-Packing. CoRR abs/2509.22255 (2025) - 2024
- [j2]Ilyas Aden, Christopher H. T. Child, Constantino Carlos Reyes-Aldasoro:
International Classification of Diseases Prediction from MIMIIC-III Clinical Text Using Pre-Trained ClinicalBERT and NLP Deep Learning Models Achieving State of the Art. Big Data Cogn. Comput. 8(5): 47 (2024)
2010 – 2019
- 2019
- [c11]Can Koluman, Christopher Child, Tillman Weyde:
Modelling Emotion Based Reward Valuation with Computational Reinforcement Learning. CogSci 2019: 582-588 - [c10]Daniil Osudin, Chris Child, Yang-Hui He:
Rendering Non-Euclidean Space in Real-Time Using Spherical and Hyperbolic Trigonometry. ICCS (5) 2019: 543-550 - [i2]Daniil Osudin, Christopher Child, Yang-Hui He:
Rendering Non-Euclidean Geometry in Real-Time Using Spherical and Hyperbolic Trigonometry. CoRR abs/1908.01742 (2019) - 2018
- [j1]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Gregory G. Slabaugh:
Data-driven recovery of hand depth using CRRF on stereo images. IET Comput. Vis. 12(5): 666-678 (2018) - [c9]Joaquin Ollero, Christopher Child:
Performance Enhancement of Deep Reinforcement Learning Networks Using Feature Extraction. ISNN 2018: 208-218 - 2017
- [c8]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Hand Pose Estimation Using Deep Stereovision and Markov-Chain Monte Carlo. ICCV Workshops 2017: 595-603 - [c7]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Conditional Regressive Random Forest Stereo-Based Hand Depth Recovery. ICCV Workshops 2017: 614-622 - 2016
- [c6]Rilwan Remilekun Basaru, Gregory G. Slabaugh, Christopher Child, Eduardo Alonso:
HandyDepth: Example-based stereoscopic hand depth estimation using Eigen Leaf Node Features. IWSSIP 2016: 1-4 - [i1]Jeffrey Georgeson, Christopher Child:
NPCs as People, Too: The Extreme AI Personality Engine. CoRR abs/1609.04879 (2016) - 2014
- [c5]Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg G. Slabaugh:
Quantized Census for Stereoscopic Image Matching. 3DV (Workshops) 2014: 22-29 - 2013
- [c4]Rahul Dey, Chris Child:
QL-BT: Enhancing behaviour tree design and implementation with Q-learning. CIG 2013: 1-8 - 2011
- [b1]Christopher H. T. Child:
Approximate dynamic programming with parallel stochastic planning operators. City University London, UK, 2011
2000 – 2009
- 2006
- [c3]Christopher Child, Kostas Stathis:
Rule value reinforcement learning for cognitive agents. AAMAS 2006: 792-794 - 2005
- [c2]Christopher Child, Kostas Stathis:
SMART (Stochastic Model Acquisition with ReinforcemenT) Learning Agents: A Preliminary Report. Adaptive Agents and Multi-Agent Systems 2005: 73-87 - 2004
- [c1]Christopher Child, Kostas Stathis:
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules. CLIMA 2004: 234-249
Coauthor Index
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