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Ammar Shaker
Ammar Shaker
NEC Laboratories Europe GmbH
Email verificata su neclab.eu
Titolo
Citata da
Citata da
Anno
Open challenges for data stream mining research
G Krempl, I Žliobaite, D Brzeziński, E Hüllermeier, M Last, V Lemaire, ...
ACM SIGKDD explorations newsletter 16 (1), 1-10, 2014
3852014
On-line elimination of local redundancies in evolving fuzzy systems
E Lughofer, JL Bouchot, A Shaker
Evolving systems 2, 165-187, 2011
1262011
IBLStreams: a system for instance-based classification and regression on data streams
A Shaker, E Hüllermeier
Evolving Systems 3, 235-249, 2012
952012
Self-adaptive and local strategies for a smooth treatment of drifts in data streams
A Shaker, E Lughofer
Evolving Systems 5, 239-257, 2014
732014
Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study
A Shaker, E Hüllermeier
Neurocomputing 150, 250-264, 2015
582015
Evolving fuzzy pattern trees for binary classification on data streams
A Shaker, R Senge, E Hüllermeier
Information Sciences 220, 34-45, 2013
452013
SciPlore Xtract: extracting titles from scientific PDF documents by analyzing style information (Font Size)
J Beel, B Gipp, A Shaker, N Friedrich
Research and Advanced Technology for Digital Libraries: 14th European …, 2010
392010
Metabags: Bagged meta-decision trees for regression
J Khiari, L Moreira-Matias, A Shaker, B Ženko, S Džeroski
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
242019
Instance-based classification and regression on data streams
A Shaker, E Hüllermeier
Learning in non-stationary environments: methods and applications, 185-201, 2012
182012
Measuring the discrepancy between conditional distributions: Methods, properties and applications
S Yu, A Shaker, F Alesiani, JC Principe
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
152020
MILIE: Modular & iterative multilingual open information extraction
B Kotnis, K Gashteovski, DO Rubio, V Rodriguez-Tembras, A Shaker, ...
arXiv preprint arXiv:2110.08144, 2021
142021
Efficient and scalable multi-task regression on massive number of tasks
X He, F Alesiani, A Shaker
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3763-3770, 2019
142019
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments
A Shaker, E Hüllermeier
International Journal of Applied Mathematics and Computer Science 24 (1 …, 2014
132014
Imprecise matching of requirements specifications for software services using fuzzy logic
MC Platenius, A Shaker, M Becker, E Hüllermeier, W Schaefer
IEEE Transactions on Software Engineering 43 (8), 739-759, 2016
122016
Resolving global and local drifts in data stream regression using evolving rule-based models
A Shaker, E Lughofer
2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 9-16, 2013
82013
Recovery analysis for adaptive learning from non-stationary data streams
A Shaker, E Hüllermeier
Proceedings of the 8th International Conference on Computer Recognition …, 2013
82013
Human-centric research for nlp: Towards a definition and guiding questions
B Kotnis, K Gashteovski, J Gastinger, G Serra, F Alesiani, T Sztyler, ...
arXiv preprint arXiv:2207.04447, 2022
42022
A Human-Centric Assessment Framework for AI
S Saralajew, A Shaker, Z Xu, K Gashteovski, B Kotnis, WB Rim, J Quittek, ...
arXiv preprint arXiv:2205.12749, 2022
32022
Towards interpretable multi-task learning using bilevel programming
F Alesiani, S Yu, A Shaker, W Yin
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
32021
Online meta-forest for regression data streams
A Shaker, C Gärtner, X He, S Yu
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
32020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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