activity
20172025
most citedWin Prediction in Esports: Mixed-Rank Match Prediction in Multi-player Online Battle Arena Games

18 citations · 20 across the 5 of their papers we have counts for

collaborators

7 papers

cs.AI2025

Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems

Victoria J. Hodge, Colin Paterson, Ibrahim Habli

The operational capabilities and application domains of AI-enabled autonomous systems have expanded significantly in recent years due to advances in robotics and machine learning (…

cs.RO2025

Probabilistic Safety Verification for an Autonomous Ground Vehicle: A Situation Coverage Grid Approach

Nawshin Mannan Proma, Gricel Vázquez, Sepeedeh Shahbeigi +2

As industrial autonomous ground vehicles are increasingly deployed in safety-critical environments, ensuring their safe operation under diverse conditions is paramount. This paper…

cs.RO2025

SCALOFT: An Initial Approach for Situation Coverage-Based Safety Analysis of an Autonomous Aerial Drone in a Mine Environment

Nawshin Mannan Proma, Victoria J Hodge, Rob Alexander

The safety of autonomous systems in dynamic and hazardous environments poses significant challenges. This paper presents a testing approach named SCALOFT for systematically assessi…

cs.RO20222 cited

Analysing Ultra-Wide Band Positioning for Geofencing in a Safety Assurance Context

Victoria Hodge, Richard Hawkins, James Hilder +1

There is a desire to move towards more flexible and automated factories. To enable this, we need to assure the safety of these dynamic factories. This safety assurance must be achi…

cs.LG2019

Time to Die: Death Prediction in Dota 2 using Deep Learning

Adam Katona, Ryan Spick, Victoria Hodge +4

Esports have become major international sports with hundreds of millions of spectators. Esports games generate massive amounts of telemetry data. Using these to predict the outcome…

stat.ML2018

An Evaluation of Classification and Outlier Detection Algorithms

Victoria J. Hodge, Jim Austin

This paper evaluates algorithms for classification and outlier detection accuracies in temporal data. We focus on algorithms that train and classify rapidly and can be used for sys…