Adam Berry

15 papers A* 1A 1B 1C 1Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies.
AAAI
Bowen Zhang, Hongda Tian, Adam Berry, A. Craig Roussac
2026 J jnl
Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies.
CoRR
Bowen Zhang, Hongda Tian, Adam Berry, A. Craig Roussac
2025 — conf
A Scalable AI Framework for Proactive Health Monitoring Using Physiological Signals.
PerCom Workshops
Meera Radhakrishnan, Roupen Minassian, Kun Yu, Adam Berry
2023 J jnl
Artistic control over the glitch in AI-generated motion capture.
CoRR
Jamal Knight, Andrew Johnston, Adam Berry
2022 — conf
Machine Art: Exploring Abstract Human Animation Through Machine Learning Methods.
MOCO
Jamal Knight, Andrew Johnston, Adam Berry
2021 — conf
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach.
ITSC
Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita
2021 J jnl
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach.
CoRR
Artur Grigorev, Tuo Mao, Adam Berry, Joachim Tan, Loki Purushothaman, Adriana Simona Mihaita
2020 — conf
A Survey on Ethical Principles of AI and Implementations.
SSCI
Jianlong Zhou, Fang Chen, Adam Berry, Mike Reed, Shujia Zhang, Siobhan Savage
2017 J jnl
Steering approaches to Pareto-optimal multiobjective reinforcement learning.
Neurocomputing
Peter Vamplew, Rustam Issabekov, Richard Dazeley, Cameron Foale, Adam Berry, Tim Moore, Douglas C. Creighton
2011 J jnl
Empirical evaluation methods for multiobjective reinforcement learning algorithms.
Mach. Learn.
Peter Vamplew, Richard Dazeley, Adam Berry, Rustam Issabekov, Evan Dekker
2008 — conf
On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts.
Australasian Conference on Artificial Intelligence
Peter Vamplew, John Yearwood, Richard Dazeley, Adam Berry
2006 A conf
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm.
GECCO
Adam Berry, Peter Vamplew
2005 — conf
Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum.
Australian Conference on Artificial Intelligence
Luke Temby, Peter Vamplew, Adam Berry
2005 C conf
The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking.
EMO
Adam Berry, Peter Vamplew
2003 B conf
A simplified artificial life model for multiobjective optimisation: a preliminary report.
IEEE Congress on Evolutionary Computation
Adam Berry, Peter Vamplew