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2020 – today
- 2024
[c21]Pepita Barnard
, Andriana Boudouraki, Jérémie Clos:
A Multimethod Analysis of US Perspectives towards Trustworthy Autonomous Systems. TAS 2024: 5:1-5:11- [c20]Jérémie Clos, Emma McClaughlin, Pepita Barnard, Tino Tom, Sudarshan Yajaman:
LOOM: a Privacy-Preserving Linguistic Observatory of Online Misinformation. TAS 2024: 11:1-11:9 - [c19]Natalie Leesakul, Jérémie Clos, Richard Hyde:
Not the Law's First Rodeo: Towards regulating trustworthy collaborative industrial embodied autonomous systems. TAS 2024: 15:1-15:10 - [c18]Jérémie Clos, Yoke Yie Chen:
Investigating the Impact of Generative AI on Students and Educators: Evidence and Insights from the Literature. TAS 2024: 25:1-25:6 - [c17]Xin Yu Liew, Nazia Hameed, Jérémie Clos, Joel E. Fischer:
Designing and Evaluating a Discourse Analysis Dashboard. TAS 2024: 26:1-26:5 - [c16]Giovanni Schiazza, Helena Webb, Jérémie Clos, Patrick Brundell, Annemarie Walter:
Meta-Meme: a Responsible Researcher?s Tool for the analysis of Internet Memes. TAS 2024: 32:1-32:5 - [c15]Tina Seabrooke, Eike Schneiders, Liz Dowthwaite, Joshua Krook, Natalie Leesakul, Jérémie Clos, Horia A. Maior, Joel E. Fischer:
A Survey of Lay People's Willingness to Generate Legal Advice using Large Language Models (LLMs). TAS 2024: 33:1-33:5 - [c14]Omar Zeghouani, Zawar Ali, William Simson van Dijkhuizen, Jia-Wei Hong, Jérémie Clos:
Examining the Feasibility of AI-Generated Questions in Educational Settings. TAS 2024: 36:1-36:6 - [i1]Eike Schneiders, Tina Seabrooke, Joshua Krook, Richard Hyde, Natalie Leesakul, Jérémie Clos, Joel E. Fischer:
Objection Overruled! Lay People can Distinguish Large Language Models from Lawyers, but still Favour Advice from an LLM. CoRR abs/2409.07871 (2024) - 2023
- [j1]Dan Heaton, Jérémie Clos, Elena Nichele, Joel E. Fischer:
Critical reflections on three popular computational linguistic approaches to examine Twitter discourses. PeerJ Comput. Sci. 9: e1211 (2023) - [c13]Dan Heaton, Jérémie Clos, Elena Nichele, Joel E. Fischer:
The Social Impact of Decision-Making Algorithms: Reviewing the Influence of Agency, Responsibility and Accountability on Trust and Blame. TAS 2023: 11:1-11:11 - [c12]Jialin Chen, Jérémie Clos, Dominic Price, Praminda Caleb-Solly:
Digital twins for human-assistive robot teams in ambient assisted living. TAS 2023: 38:1-38:5 - [c11]Jérémie Clos, Emma McClaughlin, Pepita Barnard, Tino Tom, Sudarshan Yajaman:
A Privacy-Preserving Observatory of Misinformation using Linguistic Markers - A Work in Progress. TAS 2023: 51:1-51:4 - [c10]Xin Yu Liew, Nazia Hameed, Jérémie Clos, Joel E. Fischer:
Predicting Stance to Detect Misinformation in Few-shot Learning. TAS 2023: 53:1-53:5 - 2022
- [c9]Hao Xian Chung, Nazia Hameed, Jérémie Clos, Md Mahmud Hasan:
A Framework of Ensemble CNN Models for Real-Time Sign Language Translation. SKIMA 2022: 27-32 - 2020
- [c8]Mat Rawsthorne, Tahseen Jilani, Jacob Andrews, Yunfei Long, Jérémie Clos, Samuel Malins, Daniel Hunt:
ExTRA: Explainable Therapy-Related Annotations. NL4XAI@INGL 2020: 11-15
2010 – 2019
- 2019
- [b1]Jérémie Clos:
Representation and learning schemes for argument stance mining. Robert Gordon University, Aberdeen, UK, 2019 - [c7]Johann Benerradi, Horia A. Maior, Adrian Marinescu, Jérémie Clos, Max L. Wilson:
Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks. HTTF 2019: 8:1-8:11 - [c6]Jérémie Clos, Rong Qu, Jason A. D. Atkin:
Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning. SGAI Conf. 2019: 487-493 - 2018
- [c5]Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jérémie Clos:
Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks. SGAI Conf. 2018: 34-49 - 2017
- [c4]Jérémie Clos, Anil Bandhakavi, Nirmalie Wiratunga, Guillaume Cabanac:
Predicting Emotional Reaction in Social Networks. ECIR 2017: 527-533 - [c3]Jérémie Clos, Nirmalie Wiratunga:
Lexicon Induction for Interpretable Text Classification. TPDL 2017: 498-510 - [c2]Kyle Martin, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Jérémie Clos:
A Convolutional Siamese Network for Developing Similarity Knowledge in the SelfBACK Dataset. ICCBR (Workshops) 2017: 85-94 - [c1]Jérémie Clos, Nirmalie Wiratunga:
Neural Induction of a Lexicon for Fast and Interpretable Stance Classification. LDK 2017: 181-193
Coauthor Index
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last updated on 2024-11-13 23:45 CET by the dblp team
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