Jérémie Clos

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Text Classification Tasks

Machine Learning Approaches

Top Venues

Publications

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)
Xin Yu Liew, Nazia Hameed, Jérémie Clos, Joel E. Fischer
Predicting Stance to Detect Misinformation in Few-shot Learning. TAS (2023)
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)
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 (2023)
Jialin Chen, Jérémie Clos, Dominic Price, Praminda Caleb-Solly
Digital twins for human-assistive robot teams in ambient assisted living. TAS (2023)
Hao Xian Chung, Nazia Hameed, Jérémie Clos, Md Mahmud Hasan
A Framework of Ensemble CNN Models for Real-Time Sign Language Translation. SKIMA (2022)
Mat Rawsthorne, Tahseen Jilani, Jacob Andrews, Yunfei Long, Jérémie Clos, Samuel Malins, Daniel Hunt
ExTRA: Explainable Therapy-Related Annotations. NL4XAI@INGL (2020)
Jérémie Clos, Rong Qu, Jason A. D. Atkin
Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning. SGAI Conf. (2019)
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)
Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jérémie Clos
Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks. SGAI Conf. (2018)
Jérémie Clos, Anil Bandhakavi, Nirmalie Wiratunga, Guillaume Cabanac
Predicting Emotional Reaction in Social Networks. ECIR (2017)
Jérémie Clos, Nirmalie Wiratunga
Lexicon Induction for Interpretable Text Classification. TPDL (2017)
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)
Jérémie Clos, Nirmalie Wiratunga
Neural Induction of a Lexicon for Fast and Interpretable Stance Classification. LDK (2017)