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Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Jump to: 2022 | 2021 | 2020
Number of items: 10.

2022

Nicol, Emma and Briggs, Jo and Moncur, Wendy and Htait, Amal and Carey, Daniel and Azzopardi, Leif and Schafer, Burkhard (2022) Revealing cumulative risks in online personal information : a data narrative study. Proceedings of the ACM on Human-Computer Interaction, 6 (CSCW2). pp. 1-25. 323. ISSN 2573-0142

Nicol, Emma and Briggs, Jo and Moncur, Wendy and Htait, Amal and Carey, Daniel and Azzopardi, Leif and Schafer, Burkhard (2022) Revealing cumulative risks in online personal information : a data narrative study. Other. arXiv.org, Ithaca, N.Y..

2021

Nicol, Emma and Htait, Amal and Azzopardi, Leif and Moncur, Wendy (2021) Towards identifying, understanding and controlling cumulative revelations in social media. Proceedings of the Association for Information Science and Technology, 58 (1). pp. 798-800. ISSN 2373-9231

Martínez-Castaño, Rodrigo and Htait, Amal and Azzopardi, Leif and Moshfeghi, Yashar; Candan, K. Selçuk and Ionescu, Bogdan and Goeuriot, Lorraine and Larsen, Birger and Müller, Henning and Joly, Alexis and Maistro, Maria and Piroi, Florina and Faggioli, Guglielmo and Ferro, Nicola, eds. (2021) BERT-based transformers for early detection of mental health illnesses. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer Science and Business Media Deutschland GmbH, Virtual, Online, pp. 189-200. ISBN 9783030852504

Htait, Amal and Azzopardi, Leif; (2021) Sentiment intensity prediction using neural word embeddings. In: ICTIR '21 : Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval. ACM, NLD, pp. 93-102. ISBN 9781450386111

Htait, Amal and Azzopardi, Leif; Hiemstra, Djoerd and Moens, Marie-Francine and Mothe, Josiane and Perego, Raffaele and Potthast, Martin and Sebastiani, Fabrizio, eds. (2021) AWESSOME : An unsupervised sentiment intensity scoring framework using neural word embeddings. In: Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12657 . Springer, ITA, pp. 509-513. ISBN 9783030722401

Azzopardi, Leif and Briggs, Jo and Htait, Amal and Moncur, Wendy and Nicol, Emma and Schafer, Burkhard (2021) Cumulative revelations in personal data. In: SPRITE+ Online Showcase, 2021-01-14, Online.

2020

Martínez-Castaño, Rodrigo and Htait, Amal and Azzopardi, Leif and Moshfeghi, Yashar (2020) Early risk detection of self-harm and depression severity using BERT-based transformers : iLab at CLEF eRisk 2020. CEUR Workshop Proceedings, 2696. 50. ISSN 1613-0073

Htait, Amal and Fournier, Sebastien and Bellot, Patrice and Azzopardi, Leif and Pasi, Gabriella; (2020) Using sentiment analysis for pseudo-relevance feedback in social book search. In: ICTIR 2020 - Proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval. ICTIR 2020 - Proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval . ACM, NOR, 29–32. ISBN 9781450380676

Htait, Amal and Azzopardi, Leif and Nicol, Emma and Moncur, Wendy; (2020) DataMirror: reflecting on one's data self : a tool for social media users to explore their digital footprint. In: SIGIR '20 - The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, CHN, 2125–2128. ISBN 9781450380164

This list was generated on Sun Apr 28 10:53:56 2024 BST.