| Does label smoothing mitigate label noise? M Lukasik, S Bhojanapalli, A Menon, S Kumar International Conference on Machine Learning, 6448-6458, 2020 | 167 | 2020 |
| Hawkes processes for continuous time sequence classification: an application to rumour stance classification in twitter M Lukasik, PK Srijith, D Vu, K Bontcheva, A Zubiaga, T Cohn Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 152 | 2016 |
| Scaling graph neural networks with approximate pagerank A Bojchevski, J Klicpera, B Perozzi, A Kapoor, M Blais, B Rózemberczki, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 130 | 2020 |
| Discourse-aware rumour stance classification in social media using sequential classifiers A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik, K Bontcheva, ... Information Processing & Management 54 (2), 273-290, 2018 | 129 | 2018 |
| Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik arXiv preprint arXiv:1609.09028, 2016 | 110 | 2016 |
| Classifying Tweet Level Judgements of Rumours in Social Media M Lukasik, T Cohn, K Bontcheva The 2015 Conference on Empirical Methods on Natural Language Processing., 2015 | 83 | 2015 |
| Point process modelling of rumour dynamics in social media M Lukasik, T Cohn, K Bontcheva Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 43 | 2015 |
| Pheme: Computing veracity—the fourth challenge of big social data L Derczynski, K Bontcheva, M Lukasik, T Declerck, A Scharl, G Georgiev, ... Proceedings of the Extended Semantic Web Conference EU Project Networking …, 2015 | 37 | 2015 |
| Gaussian processes for rumour stance classification in social media M Lukasik, K Bontcheva, T Cohn, A Zubiaga, M Liakata, R Procter ACM Transactions on Information Systems (TOIS) 37 (2), 1-24, 2019 | 32 | 2019 |
| Text segmentation by cross segment attention M Lukasik, B Dadachev, G Simoes, K Papineni arXiv preprint arXiv:2004.14535, 2020 | 30 | 2020 |
| Using Gaussian processes for rumour stance classification in social media M Lukasik, K Bontcheva, T Cohn, A Zubiaga, M Liakata, R Procter arXiv preprint arXiv:1609.01962, 2016 | 22 | 2016 |
| Is pagerank all you need for scalable graph neural networks A Bojchevski, J Klicpera, B Perozzi, M Blais, A Kapoor, M Lukasik, ... ACM KDD, MLG Workshop, 2019 | 19 | 2019 |
| Modeling Tweet Arrival Times using Log-Gaussian Cox Processes M Lukasik, PK Srijith, T Cohn, K Bontcheva The 2015 Conference on Empirical Methods on Natural Language Processing., 2015 | 19 | 2015 |
| Evaluation of features for author name disambiguation using linear support vector machines PJ Dendek, L Bolikowski, M Lukasik 2012 10th IAPR International Workshop on Document Analysis Systems, 440-444, 2012 | 18 | 2012 |
| Longitudinal modeling of social media with Hawkes process based on users and networks PK Srijith, M Lukasik, K Bontcheva, T Cohn Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 17 | 2017 |
| Semantic label smoothing for sequence to sequence problems M Lukasik, H Jain, AK Menon, S Kim, S Bhojanapalli, F Yu, S Kumar arXiv preprint arXiv:2010.07447, 2020 | 12 | 2020 |
| Computational approach to dendritic spine taxonomy and shape transition analysis G Bokota, M Magnowska, T Kuśmierczyk, M Łukasik, M Roszkowska, ... Frontiers in Computational Neuroscience 10, 140, 2016 | 12 | 2016 |
| Convolution kernels for discriminative learning from streaming text M Lukasik, T Cohn Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 10 | 2016 |
| Hierarchical, multi-label classification of scholarly publications: modifications of ML-KNN algorithm M Łukasik, T Kuśmierczyk, Ł Bolikowski, HS Nguyen Intelligent Tools for Building a Scientific Information Platform: Advanced …, 2013 | 9 | 2013 |
| Teacher's pet: understanding and mitigating biases in distillation M Lukasik, S Bhojanapalli, AK Menon, S Kumar arXiv preprint arXiv:2106.10494, 2021 | 7 | 2021 |
Kalina BontchevaProfessor of Text Analytics, University of SheffieldGeverifieerd e-mailadres voor sheffield.ac.uk
