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Ammar Shaker
Person information

- affiliation: University of Paderborn, Department of Computer Science, Germany
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2020 – today
- 2023
- [c16]Ammar Shaker, Carolin Lawrence:
Multi-Source Survival Domain Adaptation. AAAI 2023: 9752-9762 - [i12]Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu:
Uncertainty Propagation in Node Classification. CoRR abs/2304.00918 (2023) - 2022
- [c15]Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio:
Learning to Transfer with von Neumann Conditional Divergence. AAAI 2022: 8231-8239 - [c14]Bhushan Kotnis, Kiril Gashteovski, Daniel Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence:
MILIE: Modular & Iterative Multilingual Open Information Extraction. ACL (1) 2022: 6939-6950 - [c13]Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu:
Uncertainty Propagation in Node Classification. ICDM 2022: 1275-1280 - [c12]Ammar Shaker, Francesco Alesiani
, Shujian Yu:
Modular-Relatedness for Continual Learning. IDA 2022: 290-301 - [i11]Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence:
A Human-Centric Assessment Framework for AI. CoRR abs/2205.12749 (2022) - [i10]Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu:
Human-Centric Research for NLP: Towards a Definition and Guiding Questions. CoRR abs/2207.04447 (2022) - [i9]Ammar Shaker, Carolin Lawrence:
Multi-Source Survival Domain Adaptation. CoRR abs/2212.00424 (2022) - 2021
- [j9]Ammar Shaker, Eyke Hüllermeier
:
TSK-Streams: learning TSK fuzzy systems for regression on data streams. Data Min. Knowl. Discov. 35(5): 1941-1971 (2021) - [c11]Ammar Shaker, Francesco Alesiani
, Shujian Yu, Wenzhe Yin:
Bilevel Continual Learning. IJCNN 2021: 1-8 - [i8]Ammar Shaker, Shujian Yu:
Learning to Transfer with von Neumann Conditional Divergence. CoRR abs/2108.03531 (2021) - 2020
- [c10]Shujian Yu
, Ammar Shaker, Francesco Alesiani
, José C. Príncipe:
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. IJCAI 2020: 2777-2784 - [c9]Ammar Shaker, Christoph Gärtner, Xiao He, Shujian Yu:
Online Meta-Forest for Regression Data Streams. IJCNN 2020: 1-8 - [c8]Francesco Alesiani
, Shujian Yu, Ammar Shaker, Wenzhe Yin:
Towards Interpretable Multi-task Learning Using Bilevel Programming. ECML/PKDD (2) 2020: 593-608 - [i7]Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe:
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. CoRR abs/2005.02196 (2020) - [i6]Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin:
Towards Interpretable Multi-Task Learning Using Bilevel Programming. CoRR abs/2009.05483 (2020) - [i5]Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin:
Learning an Interpretable Graph Structure in Multi-Task Learning. CoRR abs/2009.05618 (2020) - [i4]Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin:
Bilevel Continual Learning. CoRR abs/2011.01168 (2020)
2010 – 2019
- 2019
- [c7]Xiao He, Francesco Alesiani, Ammar Shaker:
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks. AAAI 2019: 3763-3770 - [i3]Ammar Shaker, Eyke Hüllermeier:
TSK-Streams: Learning TSK Fuzzy Systems on Data Streams. CoRR abs/1911.03951 (2019) - 2018
- [c6]Jihed Khiari
, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
:
MetaBags: Bagged Meta-Decision Trees for Regression. ECML/PKDD (1) 2018: 637-652 - [i2]Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski:
MetaBags: Bagged Meta-Decision Trees for Regression. CoRR abs/1804.06207 (2018) - [i1]Xiao He, Francesco Alesiani, Ammar Shaker:
Efficient and Scalable Multi-task Regression on Massive Number of Tasks. CoRR abs/1811.05695 (2018) - 2017
- [j8]Marie Christin Platenius, Ammar Shaker, Matthias Becker, Eyke Hüllermeier, Wilhelm Schäfer:
Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic. IEEE Trans. Software Eng. 43(8): 739-759 (2017) - [c5]Ammar Shaker, Waleri Heldt, Eyke Hüllermeier:
Learning TSK Fuzzy Rules from Data Streams. ECML/PKDD (2) 2017: 559-574 - 2015
- [j7]Ammar Shaker, Eyke Hüllermeier:
Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing 150: 250-264 (2015) - 2014
- [j6]Ammar Shaker, Eyke Hüllermeier:
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Int. J. Appl. Math. Comput. Sci. 24(1): 199-212 (2014) - [j5]Ammar Shaker, Edwin Lughofer:
Self-adaptive and local strategies for a smooth treatment of drifts in data streams. Evol. Syst. 5(4): 239-257 (2014) - [j4]Georg Krempl, Indre Zliobaite
, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski:
Open challenges for data stream mining research. SIGKDD Explor. 16(1): 1-10 (2014) - 2013
- [j3]Ammar Shaker, Robin Senge, Eyke Hüllermeier:
Evolving fuzzy pattern trees for binary classification on data streams. Inf. Sci. 220: 34-45 (2013) - [c4]Ammar Shaker, Eyke Hüllermeier:
Recovery Analysis for Adaptive Learning from Non-stationary Data Streams. CORES 2013: 289-298 - [c3]Ammar Shaker, Edwin Lughofer:
Resolving global and local drifts in data stream regression using evolving rule-based models. EAIS 2013: 9-16 - 2012
- [j2]Ammar Shaker, Eyke Hüllermeier:
IBLStreams: a system for instance-based classification and regression on data streams. Evol. Syst. 3(4): 235-249 (2012) - 2011
- [j1]Edwin Lughofer, Jean-Luc Bouchot, Ammar Shaker:
On-line elimination of local redundancies in evolving fuzzy systems. Evol. Syst. 2(3): 165-187 (2011) - [c2]Ammar Shaker, Robin Senge, Eyke Hüllermeier:
Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams. LWA 2011: 106-113 - 2010
- [c1]Jöran Beel, Bela Gipp
, Ammar Shaker, Nick Friedrich:
SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size). ECDL 2010: 413-416
Coauthor Index

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last updated on 2023-09-12 23:58 CEST by the dblp team
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