Anthony Ventresque
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View article: Decoding the Tackle: Using a Machine Learning Approach to Understand Direct Head Contact Events in Elite Women's Rugby
Decoding the Tackle: Using a Machine Learning Approach to Understand Direct Head Contact Events in Elite Women's Rugby Open
Concerns about the cumulative effects of head acceleration events in rugby are growing, but how tackle events lead to direct head contact in women's rugby remains underexplored. This cross‐sectional study aimed to develop and evaluate a ma…
View article: Metamorphic Testing for Pose Estimation Systems
Metamorphic Testing for Pose Estimation Systems Open
Pose estimation systems are used in a variety of fields, from sports analytics to livestock care. Given their potential impact, it is paramount to systematically test their behaviour and potential for failure. This is a complex task due to…
View article: Frisbees and Dogs: Domain Adaptation for Object Detection with Limited Labels in Rugby Data
Frisbees and Dogs: Domain Adaptation for Object Detection with Limited Labels in Rugby Data Open
Object detection often struggles when applied to low-resource, domain-specific datasets. This challenge is exacerbated when dealing with sports-related data such as rugby, where fast-paced gameplay and tackles result in frequent instances …
View article: Enhancing Program Synthesis with Large Language Models Using Many-Objective Grammar-Guided Genetic Programming
Enhancing Program Synthesis with Large Language Models Using Many-Objective Grammar-Guided Genetic Programming Open
The ability to automatically generate code, i.e., program synthesis, is one of the most important applications of artificial intelligence (AI). Currently, two AI techniques are leading the way: large language models (LLMs) and genetic prog…
View article: An investigation into Structured Grammatical Evolution Initialisation
An investigation into Structured Grammatical Evolution Initialisation Open
A key ingredient in any successful genetic programming is robust initialisation. Many successful initialisation methods used in genetic programming have been adapted to use with grammatical evolution, to varying levels success. This papaer…
View article: What's left can't be right -- The remaining positional incompetence of contrastive vision-language models
What's left can't be right -- The remaining positional incompetence of contrastive vision-language models Open
Contrastive vision-language models like CLIP have been found to lack spatial understanding capabilities. In this paper we discuss the possible causes of this phenomenon by analysing both datasets and embedding space. By focusing on simple …
View article: From Scarcity to Understanding: Transfer Learning for the Extremely Low Resource Irish Sign Language
From Scarcity to Understanding: Transfer Learning for the Extremely Low Resource Irish Sign Language Open
One of the most significant challenges to sign language recognition (SLR) today is the low resource nature of sign language datasets, with many datasets being extremely low resource. Transfer learning is therefore a promising, and likely i…
View article: Sign Language Recognition: Can depth cameras be used to correct Mediapipe errors?
Sign Language Recognition: Can depth cameras be used to correct Mediapipe errors? Open
Mediapipe is increasingly deployed in Sign Language Recognition (SLR) pipelines. This paper highlights errors in Mediapipe that adversely affect the performance of these models. The use of depth cameras has been intuitively proposed for th…
View article: Towards the extraction of robust sign embeddings for low resource sign language recognition
Towards the extraction of robust sign embeddings for low resource sign language recognition Open
Isolated Sign Language Recognition (SLR) has mostly been applied on datasets containing signs executed slowly and clearly by a limited group of signers. In real-world scenarios, however, we are met with challenging visual conditions, coart…
View article: JSIMutate: understanding performance results through mutations
JSIMutate: understanding performance results through mutations Open
Understanding the performance characteristics of software systems is particular relevant when looking at design alternatives. However, it is a very challenging problem, due to the complexity of interpreting the role and incidence of the di…
View article: A Data Augmentation and Pre-processing Technique for Sign Language Fingerspelling Recognition
A Data Augmentation and Pre-processing Technique for Sign Language Fingerspelling Recognition Open
The reliance of deep learning algorithms on large scale datasets is a significant challenge for sign language recognition (SLR). The shortage of data resources for training SLR models inevitably leads to poor generalisation, especially for…
View article: Parameter Coverage for Testing of Autonomous Driving Systems under Uncertainty
Parameter Coverage for Testing of Autonomous Driving Systems under Uncertainty Open
Autonomous Driving Systems (ADSs) are promising, but must show they are secure and trustworthy before adoption. Simulation-based testing is a widely adopted approach, where the ADS is run in a simulated environment over specific scenarios.…
View article: The case for grammatical evolution in test generation
The case for grammatical evolution in test generation Open
Generating tests for software is an important, but difficult, task. Search-based test generation is promising, as it reduces the time required from human experts, but suffers from many problems and limitations. Namely, the inability to ful…
View article: The Forgotten Margins of AI Ethics
The Forgotten Margins of AI Ethics Open
How has recent AI Ethics literature addressed topics such as fairness and justice in the context of continued social and structural power asymmetries? We trace both the historical roots and current landmark work that have been shaping the …
View article: Mutation-based analysis of queueing network performance models
Mutation-based analysis of queueing network performance models Open
Performance models have been used in the past to understand the performance characteristics of software systems. However, the identification of performance criticalities is still an open challenge, since there might be several system compo…
View article: Achieving weight coverage for an autonomous driving system with search-based test generation (HOP track at GECCO 2021)
Achieving weight coverage for an autonomous driving system with search-based test generation (HOP track at GECCO 2021) Open
Autonomous Driving Systems (ADSs) are complex critical systems that must be thoroughly tested. Still, assessing the strength of tests for ADSs is an open and complex problem. Weight Coverage is a test criterion targeting ADSs which are bas…
View article: The Influence of Regional Pronunciation Variation on Children’s Spelling and the Potential Benefits of Accent Adapted Spellcheckers
The Influence of Regional Pronunciation Variation on Children’s Spelling and the Potential Benefits of Accent Adapted Spellcheckers Open
A child who is unfamiliar with the correct spelling of a word often employs a “sound it out” approach: breaking the word down into its constituent sounds and then choosing letters to represent the identified sounds. This often results in a…
View article: Developing a conversational agent with a globally distributed team
Developing a conversational agent with a globally distributed team Open
In this experience report, we discuss the development of a solution that enables conflict-affected youth to discover and access relevant learning content. A team of individuals from a not-for-profit, a large multi-national technology compa…
View article: Training a Chatbot with Microsoft LUIS
Training a Chatbot with Microsoft LUIS Open
The 25th International Conference on Intelligent User Interfaces Companion (IUI'20), Cagliari, Italy, 17-20 March 2020
View article: Virtual Avatars as Children Companions For a VR-based Educational Platform: How Should They Look Like?
Virtual Avatars as Children Companions For a VR-based Educational Platform: How Should They Look Like? Open
Virtual Reality (VR) has the potential of becoming a game changer in education, with studies showing that VR can lead to better quality of and access to education. One area that is promising, especially for young children, is the use of Vi…
View article: Multi-Layer-Mesh: A Novel Topology and SDN-Based Path Switching for Big Data Cluster Networks
Multi-Layer-Mesh: A Novel Topology and SDN-Based Path Switching for Big Data Cluster Networks Open
International audience