Jérémie Clos

Orcid: 0000-0003-4280-5993

According to our database1, Jérémie Clos authored at least 25 papers between 2017 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
"The ChatGPT bot is causing panic now - but it'll soon be as mundane a tool as Excel": analysing topics, sentiment and emotions relating to ChatGPT on Twitter.
Pers. Ubiquitous Comput., December, 2024

Objection Overruled! Lay People can Distinguish Large Language Models from Lawyers, but still Favour Advice from an LLM.
CoRR, 2024

Examining the Feasibility of AI-Generated Questions in Educational Settings.
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

A Survey of Lay People's Willingness to Generate Legal Advice using Large Language Models (LLMs).
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

Meta-Meme: a Responsible Researcher?s Tool for the analysis of Internet Memes.
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

Designing and Evaluating a Discourse Analysis Dashboard.
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

Not the Law's First Rodeo: Towards regulating trustworthy collaborative industrial embodied autonomous systems.
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation.
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature.
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

A Multimethod Analysis of US Perspectives towards Trustworthy Autonomous Systems.
Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

2023
Critical reflections on three popular computational linguistic approaches to examine Twitter discourses.
PeerJ Comput. Sci., 2023

Predicting Stance to Detect Misinformation in Few-shot Learning.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

The Social Impact of Decision-Making Algorithms: Reviewing the Influence of Agency, Responsibility and Accountability on Trust and Blame.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

Digital twins for human-assistive robot teams in ambient assisted living.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

2022
A Framework of Ensemble CNN Models for Real-Time Sign Language Translation.
Proceedings of the 14th International Conference on Software, 2022

2020
ExTRA: Explainable Therapy-Related Annotations.
Proceedings of the 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020

2019
Representation and learning schemes for argument stance mining.
PhD thesis, 2019

Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning.
Proceedings of the Artificial Intelligence XXXVI, 2019

Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks.
Proceedings of the Halfway to the Future Symposium 2019, 2019

2018
Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks.
Proceedings of the Artificial Intelligence XXXV, 2018

2017
Neural Induction of a Lexicon for Fast and Interpretable Stance Classification.
Proceedings of the Language, Data, and Knowledge - First International Conference, 2017

A Convolutional Siamese Network for Developing Similarity Knowledge in the SelfBACK Dataset.
Proceedings of ICCBR 2017 Workshops (CAW, 2017

Lexicon Induction for Interpretable Text Classification.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

Predicting Emotional Reaction in Social Networks.
Proceedings of the Advances in Information Retrieval, 2017


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