| Agreeing to disagree: Active learning with noisy labels without crowdsourcing MR Bouguelia, S Nowaczyk, KC Santosh, A Verikas International journal of machine learning and cybernetics 9, 1307-1319, 2018 | 118 | 2018 |
| Efficient activity recognition in smart homes using delayed fuzzy temporal windows on binary sensors R Hamad, AG Salguero, MR Bouguelia, M Espinilla, JM Quero IEEE Journal of Biomedical and Health Informatics 24 (2), 387 - 395, 2020 | 84 | 2020 |
| Interactive clustering: A comprehensive review J Bae, T Helldin, M Riveiro, S Nowaczyk, MR Bouguelia, G Falkman ACM Computing Surveys (CSUR) 53 (1), 1-39, 2020 | 69 | 2020 |
| Advances and challenges in meta-learning: A technical review A Vettoruzzo, MR Bouguelia, J Vanschoren, T Rognvaldsson, KC Santosh IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 60 | 2024 |
| An adaptive streaming active learning strategy based on instance weighting MR Bouguelia, Y Belaďd, A Belaďd Pattern Recognition Letters 70, 38-44, 2016 | 47 | 2016 |
| A stream-based semi-supervised active learning approach for document classification MR Bouguelia, Y Belaďd, A Belaďd 2013 12th International Conference on Document Analysis and Recognition, 611-615, 2013 | 47 | 2013 |
| Unsupervised classification of slip events for planetary exploration rovers MR Bouguelia, R Gonzalez, K Iagnemma, S Byttner Journal of Terramechanics 73, 95-106, 2017 | 43 | 2017 |
| Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach S Farouq, S Byttner, MR Bouguelia, N Nord, H Gadd Engineering applications of artificial intelligence 90, 2020 | 42 | 2020 |
| An adaptive incremental clustering method based on the growing neural gas algorithm MR Bouguelia, Y Belaďd, A Belaďd 2nd International Conference on Pattern Recognition Applications and Methods …, 2013 | 33 | 2013 |
| An adaptive algorithm for anomaly and novelty detection in evolving data streams MR Bouguelia, S Nowaczyk, AH Payberah Data Mining and Knowledge Discovery, 2018 | 30 | 2018 |
| Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters A Soliman, S Girdzijauskas, MR Bouguelia, S Pashami, S Nowaczyk Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 23 | 2020 |
| Mode tracking using multiple data streams MR Bouguelia, A Karlsson, S Pashami, S Nowaczyk, A Holst Information Fusion 43, 33-46, 2018 | 18 | 2018 |
| Personalized recommendation: an enhanced hybrid collaborative filtering P Pirasteh, MR Bouguelia, KC Santosh Advances in Computational Intelligence 1 (1), 2021 | 17 | 2021 |
| Multi-domain adaptation for regression under conditional distribution shift Z Taghiyarrenani, S Nowaczyk, S Pashami, MR Bouguelia Expert systems with applications 224, 119907, 2023 | 16 | 2023 |
| Multipage administrative document stream segmentation H Daher, MR Bouguelia, A Belaid, VP d'Andecy 2014 22nd International Conference on Pattern Recognition, 966-971, 2014 | 16 | 2014 |
| Identifying and mitigating labelling errors in active learning MR Bouguelia, Y Belaid, A Belaid Pattern Recognition: Applications and Methods: 4th International Conference …, 2015 | 13 | 2015 |
| Efficient active novel class detection for data stream classification MR Bouguelia, Y Belaid, A Belaid 2014 22nd International Conference on Pattern Recognition, 2826-2831, 2014 | 12 | 2014 |
| Document image and zone classification through incremental learning MR Bouguelia, Y Belaďd, A Belaďd 2013 IEEE International Conference on Image Processing, 4230-4234, 2013 | 9 | 2013 |
| Wisdom of the contexts: active ensemble learning for contextual anomaly detection E Calikus, S Nowaczyk, MR Bouguelia, O Dikmen Data Mining and Knowledge Discovery 36 (6), 2410-2458, 2022 | 8 | 2022 |
| Stream-based Active Learning in the Presence of Label Noise MR Bouguelia, Y Belaıd, A Belaıd International Conference on Pattern Recognition Applications and Methods, 25-34, 2015 | 7 | 2015 |
Slawomir NowaczykProfessor, Center for Applied Intelligent Systems Research, Halmstad UniversityVerified email at hh.se
