School of Computer Science
 

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Jeremie Clos

Assistant Professor, Faculty of Science

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Biography

Jeremie Clos is an Assistant Professor of Computer Science, mainly associated to the Cyber-physical Health and Assistive Robotics Technologies Research Group and partially to the Mixed Reality Lab. His work is centered around the application of machine learning and the study of machine learning systems, mostly focused on natural language processing systems such as privacy-preserving text classification systems for linguistic data donation, and large language models for professional advice in a legal context.

Recent Publications

  • HEATON, DAN, NICHELE, ELENA, CLOS, JEREMIE and FISCHER, JOEL E, 2024. “ChatGPT says no”: agency, trust, and blame in Twitter discourses after the launch of ChatGPT AI and Ethics. 1-23
  • HEATON, DAN, NICHELE, ELENA, CLOS, JÉRÉMIE, FISCHER, JOEL E and OTHERS, 2024. Perceptions of the agency and responsibility of the NHS COVID-19 app on Twitter: critical discourse analysis Journal of Medical Internet Research. 26(1), e50388
  • HEATON, DAN, CLOS, JEREMIE, NICHELE, ELENA and FISCHER, JOEL, 2023. Critical reflections on three popular computational linguistic approaches to examine Twitter discourses PeerJ Computer Science. 9, e1211
  • HEATON, DAN, NICHELE, ELENA, CLOS, JEREMIE and FISCHER, JOEL E, 2023. “The algorithm will screw you”: Blame, social actors and the 2020 A Level results algorithm on Twitter Plos one. 18(7), e0288662
  • HEATON, DAN, NICHELE, ELENA, CLOS, JEREMIE and FISCHER, JOEL E, 2024. “ChatGPT says no”: agency, trust, and blame in Twitter discourses after the launch of ChatGPT AI and Ethics. 1-23
  • HEATON, DAN, NICHELE, ELENA, CLOS, JÉRÉMIE, FISCHER, JOEL E and OTHERS, 2024. Perceptions of the agency and responsibility of the NHS COVID-19 app on Twitter: critical discourse analysis Journal of Medical Internet Research. 26(1), e50388
  • HEATON, DAN, CLOS, JEREMIE, NICHELE, ELENA and FISCHER, JOEL, 2023. Critical reflections on three popular computational linguistic approaches to examine Twitter discourses PeerJ Computer Science. 9, e1211
  • HEATON, DAN, NICHELE, ELENA, CLOS, JEREMIE and FISCHER, JOEL E, 2023. “The algorithm will screw you”: Blame, social actors and the 2020 A Level results algorithm on Twitter Plos one. 18(7), e0288662
  • HEATON, DAN, NICHELE, ELENA, CLOS, JEREMIE and FISCHER, JOEL E, 2023. “The pingdemic has been a greater challenge than Covid itself”: semantic prosodies in UK newspaper articles during the pandemic SN Social Sciences. 3(9), 146
  • HEATON, DAN, CLOS, JÉRÉMIE, NICHELE, ELENA and FISCHER, JOEL E, 2023. The Social Impact of Decision-Making Algorithms: Reviewing the Influence of Agency, Responsibility and Accountability on Trust and Blame In: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. 1-11
  • ADOLPHS, S., MCAULEY, D., VILAR-LLUCH, S., KNIGHT, D., MCCLAUGHLIN, E., NICHELE, E., CLOS, J., BARNARD, P., PARNELL, T. and LANG, A., 2023. Communicating health threats: Linguistic evidence for effective public health messaging during the Covid-19 pandemic.
  • MCCLAUGHLIN, EMMA, VILAR-LLUCH, SARA, PARNELL, TAMSIN, KNIGHT, DAWN, NICHELE, ELENA, ADOLPHS, SVENJA, CLOS, JÉRÉMIE and SCHIAZZA, GIOVANNI, 2023. The reception of public health messages during the COVID-19 pandemic Applied Corpus Linguistics. 3(1), 100037
  • HEATON, DAN, CLOS, JEREMIE, NICHELE, ELENA and FISCHER, JOEL, 2023. Critical reflections on three popular computational linguistic approaches to examine Twitter discourses PeerJ Computer Science. 9, e1211
  • BENERRADI, JOHANN, CLOS, JEREMIE, LANDOWSKA, ALEKSANDRA, VALSTAR, MICHEL F and WILSON, MAX L, 2023. Benchmarking framework for machine learning classification from fNIRS data Frontiers in Neuroergonomics. 4, 994969
  • ADOLPHS, SVENJA, MCAULEY, DEREK, VILAR-LLUCH, SARA, KNIGHT, DAWN, MCCLAUGHLIN, EMMA, NICHELE, ELENA, CLOS, JEREMIE, BARNARD, PEPITA, PARNELL, TAMSIN and LANG, ALEXANDRA, 2023. Communicating health threats: Linguistic evidence for effective public health messaging during the Covid-19 pandemic
  • HEATON, DAN, CLOS, JÉRÉMIE, NICHELE, ELENA and FISCHER, JOEL E, 2023. The social impact of decision-making algorithms: reviewing the influence of agency, responsibility and accountability on trust and blame In: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. 1-11
  • CLOS, JEREMIE, MCCLAUGHLIN, EMMA, BARNARD, PEPITA, TOM, TINO and YAJAMAN, SUDARSHAN, 2023. A Privacy-Preserving Observatory of Misinformation using Linguistic Markers In: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. 1-4
  • LIEW, XIN YU, HAMEED, NAZIA, CLOS, JEREMIE and FISCHER, JOEL E, 2023. Predicting Stance to Detect Misinformation in Few-shot Learning In: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. 1-5
  • CHEN, JIALIN, CLOS, JEREMIE, PRICE, DOMINIC and CALEB-SOLLY, PRAMINDA, 2023. Digital twins for human-assistive robot teams in ambient assisted living In: Proceedings of the First International Symposium on Trustworthy Autonomous Systems. 1-5
  • HEATON, DAN, NICHELE, ELENA, CLOS, JEREMIE and FISCHER, JOEL E, 2023. “The algorithm will screw you”: Blame, social actors and the 2020 A Level results algorithm on Twitter Plos one. 18(7), e0288662
  • HEATON, DAN, NICHELE, ELENA, CLOS, JEREMIE and FISCHER, JOEL E, 2023. “The pingdemic has been a greater challenge than Covid itself”: semantic prosodies in UK newspaper articles during the pandemic SN Social Sciences. 3(9), 146
  • DOWTHWAITE, LIZ, WAGNER, HANNE GESINE, BABBAGE, CAMILLA MAY, FISCHER, JOEL E, BARNARD, PEPITA, NICHELE, ELENA, PEREZ VALLEJOS, ELVIRA, CLOS, JEREMIE, PORTILLO, VIRGINIA and MCAULEY, DEREK, 2022. The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK. PloS one. 17(10), e0276661
  • ANDREWS, JACOB, RAWSTHORNE, MAT, MANOLESCU, COSMIN, BURTON MCFAUL, MATTHEW, FRENCH, BLANDINE, RYE, ELIZABETH, MCNAUGHTON, REBECCA, BALIOUSIS, MICHAEL, SMITH, SHARRON, BISWAS, SANCHIA, BAKER, ERIN, REPPER, DEAN, LONG, YUNFEI, JILANI, TAHSEEN, CLOS, JEREMIE, HIGTON, FRED, MOGHADDAM, NIMA and MALINS, SAM, 2022. Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project Journal of Responsible Technology. 11, 100044
  • MALINS, S., FIGUEREDO, G., JILANI, T., LONG, Y., ANDREWS, J., RAWSTHORNE, M., MANOLESCU, C., CLOS, J., HIGTON, F., WALDRAM, D., HUNT, D., PEREZ VALLEJOS, E. and MOGHADDAM, N., 2022. Developing An Automated Assessment Of In-session Patient Activation For Psychological Therapy: Codevelopment Approach JMIR Medical Informatics. 10(11), e38168
  • CLOS, JEREMIE, MCCLAUGHLIN, EMMA, BARNARD, PEPITA, NICHELE, ELENA, KNIGHT, DAWN, MCAULEY, DEREK and ADOLPHS, SVENJA, 2022. PriPA: a tool for privacy-preserving analytics of linguistic data In: Proceedings of the Workshop on Ethical and Legal Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Data In Language Resources within the 13th Language Resources and Evaluation Conference. 73-78
  • MCCLAUGHLIN, EMMA, NICHELE, ELENA, ADOLPHS, SVENJA, BARNARD, PEPITA, CLOS, JEREMIE, KNIGHT, DAWN, MCAULEY, DEREK, AYDT, MIRIAM, TOM, TINO and LANG, ALEXANDRA, 2022. Privacy preserving corpus linguistics: investigating the trajectories of public health messaging online
  • ANDREWS, JACOB A, RAWSTHORNE, MAT, MANOLESCU, COSMIN, MCFAUL, MATTHEW BURTON, FRENCH, BLANDINE, RYE, ELIZABETH, MCNAUGHTON, REBECCA, BALIOUSIS, MICHAEL, SMITH, SHARRON, BISWAS, SANCHIA and OTHERS, 2022. Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project Journal of Responsible Technology. 11, 100044
  • DOWTHWAITE, LIZ, WAGNER, HANNE GESINE, BABBAGE, CAMILLA MAY, FISCHER, JOEL E, BARNARD, PEPITA, NICHELE, ELENA, PEREZ VALLEJOS, ELVIRA, CLOS, JEREMIE, PORTILLO, VIRGINIA and MCAULEY, DEREK, 2022. The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK PLoS One. 17(10), e0276661
  • MALINS, SAM, FIGUEREDO, GRAZZIELA, JILANI, TAHSEEN, LONG, YUNFEI, ANDREWS, JACOB, RAWSTHORNE, MAT, MANOLESCU, COSMIN, CLOS, JEREMIE, HIGTON, FRED, WALDRAM, DAVID and OTHERS, 2022. Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment Approach JMIR Medical Informatics. 10(11), e38168
  • CHUNG, HAO XIAN, HAMEED, NAZIA, CLOS, JEREMIE and HASAN, MD MAHMUD, 2022. A Framework of Ensemble CNN Models for Real-Time Sign Language Translation In: 2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). 27-32
  • ISMAIL, M. AFZAL, HAMEED, NAZIA and CLOS, JEREMIE, 2021. Deep Learning-Based Algorithm for Skin Cancer Classification In: International Conference on Trends in Computational and Cognitive Engineering. 709-719
  • RAWSTHORNE, MAT, JILANI, TAHSEEN, ANDREWS, JACOB, LONG, YUNFEI, CLOS, JÉRÉMIE, MALINS, SAM and HUNT, DANIEL, 2021. ExTRA: Explainable Therapy-Related Annotations
  • LIEW, XIN YU, HAMEED, NAZIA and CLOS, JEREMIE, 2021. A review of computer-aided expert systems for breast cancer diagnosis Cancers. 13(11), 2764
  • LIEW, XIN YU and CLOS, JÉRÉMIE, 2021. Computer-Aided Breast Cancer Diagnosis
  • MCCLAUGHLIN, EMMA, NICHELE, ELENA, ADOLPHS, SVENJA, BARNARD, PEPITA, CLOS, JEREMIE, KNIGHT, DAWN, MCAULEY, DEREK and LANG, ALEXANDRA, 2021. Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson
  • BENERRADI, JOHANN, CLOS, JEREMIE, LANDOWSKA, ALEKSANDRA, VALSTAR, MICHEL F and WILSON, MAX L, 2021. Benchmarking Framework for Machine Learning with fNIRS
  • LIEW, XIN YU, HAMEED, NAZIA and CLOS, JEREMIE, 2021. An investigation of XGBoost-based algorithm for breast cancer classification Machine Learning with Applications. 6, 100154
  • MCCLAUGHLIN, EMMA, NICHELE, ELENA, ADOLPHS, SVENJA, BARNARD, PEPITA, CLOS, JEREMY, KNIGHT, DAWN, MCAULEY, DEREK and LANG, ALEXANDRA, 2021. Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study
  • RAWSTHORNE, M, JILANI, T, ANDREWS, JA, LONG, Y, CLOS, J, MALINS, S and HUNT, D, 2020. ExTRA: Explainable Therapy-Related Annotations In: 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence.
  • BENERRADI, JOHANN, A. MAIOR, HORIA, MARINESCU, ADRIAN, CLOS, JEREMIE and L. WILSON, MAX, 2019. Exploring machine learning approaches for classifying mental workload using fNIRS data from HCI tasks In: Proceedings of the Halfway to the Future Symposium 2019. 1-11
  • CLOS, JÉRÉMIE, QU, RONG and ATKIN, JASON, 2019. Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning In: Artificial Intelligence XXXVI: 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17-19, 2019, Proceedings 39. 487-493
  • MARTIN, KYLE, WIRATUNGA, NIRMALIE, MASSIE, STEWART and CLOS, JÉRÉMIE, 2018. Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks In: International Conference on Innovative Techniques and Applications of Artificial Intelligence. 34-49
  • CLOS, JÉRÉMIE, BANDHAKAVI, ANIL, WIRATUNGA, NIRMALIE and CABANAC, GUILLAUME, 2017. Predicting emotional reaction in social networks In: Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings 39. 527-533
  • CLOS, JÉRÉMIE and WIRATUNGA, NIRMALIE, 2017. Neural Induction of a Lexicon for Fast and Interpretable Stance Classification In: Language, Data, and Knowledge: First International Conference, LDK 2017, Galway, Ireland, June 19-20, 2017, Proceedings 1. 181-193
  • CLOS, JÉRÉMIE, WIRATUNGA, NIRMALIE and MASSIE, STEWART, 2017. Towards Explainable Text Classification by Jointly Learning Lexicon and Modifier Terms In: IJCAI Workshop on Explainable Artificial Intelligence.
  • CLOS, JÉRÉMIE and WIRATUNGA, NIRMALIE, 2017. Lexicon induction for interpretable text classification In: Research and Advanced Technology for Digital Libraries: 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017, Proceedings 21. 498-510
  • MARTIN, KYLE, WIRATUNGA, NIRMALIE, SANI, SADIQ, MASSIE, STEWART and CLOS, JÉRÉMIE, 2017. A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset.
  • CLOS, JÉRÉMIE, WIRATUNGA, NIRMALIE, MASSIE, STEWART and CABANAC, GUILLAUME, 2015. Shallow techniques for argument mining In: 1st European Conference on Argumentation (ECA 2015). pp-341

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