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Found 13 papers, 2 papers with code
The Strain of Success: A Predictive Model for Injury Risk Mitigation and Team Success in Soccer
In this paper, we present a novel sequential team selection model in soccer.
Design Space Exploration of Low-Bit Quantized Neural Networks for Visual Place Recognition
This has resulted in methods that use deep learning models too large to deploy on low powered edge devices.
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations
By imputing player locations from easy to obtain event data, we increase the accessibility of downstream tasks.
From Intelligent Agents to Trustworthy Human-Centred Multiagent Systems
The Agents, Interaction and Complexity research group at the University of Southampton has a long track record of research in multiagent systems (MAS).
Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design
Recent advances in artificial intelligence, specifically machine learning, contributed positively to enhancing the autonomous systems industry, along with introducing social, technical, legal and ethical challenges to make them trustworthy.
Large-scale, Dynamic and Distributed Coalition Formation with Spatial and Temporal Constraints
The Coalition Formation with Spatial and Temporal constraints Problem (CFSTP) is a multi-agent task allocation problem in which few agents have to perform many tasks, each with its deadline and workload.
Multi-Agent Routing and Scheduling Through Coalition Formation
Our results constitute the first large-scale benchmark for the MARSC problem.
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football
In this paper, we present a novel approach for optimising long-term tactical and strategic decision-making in football (soccer) by encapsulating events in a league environment across a given time frame.
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model
In this paper, we present a new application-focused benchmark dataset and results from a set of baseline Natural Language Processing and Machine Learning models for prediction of match outcomes for games of football (soccer).
Anytime and Efficient Coalition Formation with Spatial and Temporal Constraints
Since we cannot eliminate the limitations of CFLA in CFLA2, we also develop a novel algorithm to solve the CFSTP, the first to be anytime, efficient and with provable guarantees, called Cluster-based Coalition Formation (CCF).
Optimising Game Tactics for Football
In this paper we present a novel approach to optimise tactical and strategic decision making in football (soccer).
Algorithms for Graph-Constrained Coalition Formation in the Real World
In this paper, we focus on a special case of coalition formation known as Graph-Constrained Coalition Formation (GCCF) whereby a network connecting the agents constrains the formation of coalitions.
Efficient Task Collaboration with Execution Uncertainty
We study a general task allocation problem, involving multiple agents that collaboratively accomplish tasks and where agents may fail to successfully complete the tasks assigned to them (known as execution uncertainty).
