Mohamed-Rafik Bouguelia

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Slawomir NowaczykProfessor, Center for Applied Intelligent Systems Research, Halmstad UniversityCorreu electrònic verificat a hh.se
Abdel BelaidProfessor of Computer ScienceCorreu electrònic verificat a loria.fr
Thorsteinn RögnvaldssonProfessor of Computer Science, Halmstad UniversityCorreu electrònic verificat a hh.se
Anna VettoruzzoPhD student, Halmstad UniversityCorreu electrònic verificat a hh.se
KC SantoshDept. of Computer Science (Prof. & Chair) and AI Lab (Founding Director), University of South DakotaCorreu electrònic verificat a usd.edu
Sepideh PashamiAssociate Professor, Halmstad University; Senior researcher, RISE Research Institutes of SwedenCorreu electrònic verificat a hh.se
Stefan ByttnerProfessor in Information Technology, Halmstad UniversityCorreu electrònic verificat a hh.se
Juhee BaeAssistant professor, University of SkovdeCorreu electrònic verificat a his.se
Henrik GaddHalmstad UniversityCorreu electrònic verificat a hh.se
Macarena Espinilla-EstévezUniversity of JaénCorreu electrònic verificat a ujaen.es
Joaquin VanschorenEindhoven University of TechnologyCorreu electrònic verificat a tue.nl
Göran FalkmanUniversity of Skövde, SwedenCorreu electrònic verificat a his.se
Zahra (Nasrin) TaghiyarrenaniPostdoctoral researcherCorreu electrònic verificat a hh.se
antanas verikasHalmstad UniversityCorreu electrònic verificat a hh.se
Anders HolstRISE Research Institutes of SwedenCorreu electrònic verificat a ri.se
Sarunas GirdzijauskasRoyal Institute of Technology (KTH), SwedenCorreu electrònic verificat a kth.se
Alexander KarlssonAssociate Professor, University of SkövdeCorreu electrònic verificat a his.se
Rebeen Ali HamadResearch Associate Health DataCorreu electrònic verificat a newcastle.ac.uk
Javi Medina QueroAssociate professor, University of GranadaCorreu electrònic verificat a ugr.es
Maria RiveiroProfessor of Computer Science, Jönköping UniversityCorreu electrònic verificat a ju.se

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Mohamed-Rafik Bouguelia

Associate Professor, Halmstad University, Sweden

Correu electrònic verificat a hh.se

Machine Learning Deep Learning Data Mining Artificial Intelligence Data Science


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	119	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	85	2020
Advances and challenges in meta-learning: A technical review A Vettoruzzo, MR Bouguelia, J Vanschoren, T Rögnvaldsson, KC Santosh IEEE transactions on pattern analysis and machine intelligence 46 (7), 4763-4779, 2024	78	2024
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
A stream-based semi-supervised active learning approach for document classification MR Bouguelia, Y Belaïd, A Belaïd 2013 12th International Conference on Document Analysis and Recognition, 611-615, 2013	48	2013
An adaptive streaming active learning strategy based on instance weighting MR Bouguelia, Y Belaïd, A Belaïd Pattern Recognition Letters 70, 38-44, 2016	46	2016
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	44	2020
Unsupervised classification of slip events for planetary exploration rovers MR Bouguelia, R Gonzalez, K Iagnemma, S Byttner Journal of Terramechanics 73, 95-106, 2017	44	2017
An adaptive algorithm for anomaly and novelty detection in evolving data streams MR Bouguelia, S Nowaczyk, AH Payberah Data Mining and Knowledge Discovery, 2018	34	2018
An adaptive incremental clustering method based on the growing neural gas algorithm MR Bouguelia, Y Belaïd, A Belaïd 2nd International Conference on Pattern Recognition Applications and Methods …, 2013	34	2013
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
Personalized recommendation: an enhanced hybrid collaborative filtering P Pirasteh, MR Bouguelia, KC Santosh Advances in Computational Intelligence 1 (1), 2021	20	2021
Mode tracking using multiple data streams MR Bouguelia, A Karlsson, S Pashami, S Nowaczyk, A Holst Information Fusion 43, 33-46, 2018	18	2018
Multi-domain adaptation for regression under conditional distribution shift Z Taghiyarrenani, S Nowaczyk, S Pashami, MR Bouguelia Expert systems with applications 224, 119907, 2023	17	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	17	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
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	12	2022
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 Belaïd, A Belaïd 2013 IEEE International Conference on Image Processing, 4230-4234, 2013	9	2013
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

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