Items where authors include "Lukasik, M."

Article

Aad, G., Abbott, B., Abbott, D.C. et al. (5241 more authors) (2023) Combination of inclusive top-quark pair production cross-section measurements using ATLAS and CMS data at s√ = 7 and 8 TeV. Journal of High Energy Physics, 2023 (7). 213. ISSN 1126-6708

Tumasyan, A. orcid.org/0009-0000-0684-6742, Adam, W. orcid.org/0000-0001-9099-4341, Andrejkovic, J.W. et al. (2348 more authors) (2023) Measurement of the mass dependence of the transverse momentum of lepton pairs in Drell–Yan production in proton–proton collisions at √s = 13 TeV. The European Physical Journal C, 83 (7). 628. ISSN 1434-6044

Lukasik, M., Bontcheva, K. orcid.org/0000-0001-6152-9600, Cohn, T. et al. (3 more authors) (2019) Gaussian processes for rumour stance classification in social media. ACM Transactions on Information Systems, 37 (2). 20. ISSN 1046-8188

Zubiaga, A., Kochkina, E., Liakata, M. et al. (5 more authors) (2018) Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers. Information Processing & Management, 54. pp. 273-290. ISSN 0306-4573

Bokota, G., Magnowska, M., Kusmierczyk, T. et al. (3 more authors) (2016) Computational Approach to Dendritic Spine Taxonomy and Shape Transition Analysis. Frontiers in Computational Neuroscience, 10. 140. ISSN 1662-5188

Lukasik, M., Bontcheva, K., Cohn, T. et al. (3 more authors) (2016) Using Gaussian Processes for Rumour Stance Classification in Social Media. arXiv. (Unpublished)

Proceedings Paper

Lukasik, M., Cohn, T. and Bontcheva, K. (2015) Classifying Tweet Level Judgements of Rumours in Social Media. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 2015 Conference on Empirical Methods in Natural Language Processing, 17-21 Sep 2015, Lisbon, Portugal. , pp. 2590-2595. ISBN 978-1-941643-32-7