Ammar Shaker

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 27

Top Topics

Bilevel Programming

Conditional Distributions

Adaptive Learning

Top Venues

Publications

Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu
Uncertainty Propagation in Node Classification. CoRR (2023)
Ammar Shaker, Carolin Lawrence
Multi-Source Survival Domain Adaptation. AAAI (2023)
Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio
Learning to Transfer with von Neumann Conditional Divergence. AAAI (2022)
Ammar Shaker, Francesco Alesiani, Shujian Yu
Modular-Relatedness for Continual Learning. IDA (2022)
Ammar Shaker, Carolin Lawrence
Multi-Source Survival Domain Adaptation. CoRR (2022)
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 (2022)
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 (2022)
Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu
Uncertainty Propagation in Node Classification. ICDM (2022)
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)
Ammar Shaker, Eyke Hüllermeier
TSK-Streams: learning TSK fuzzy systems for regression on data streams. Data Min. Knowl. Discov. 35 (5) (2021)
Ammar Shaker, Shujian Yu
Learning to Transfer with von Neumann Conditional Divergence. CoRR (2021)
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
Bilevel Continual Learning. IJCNN (2021)
Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin
Learning an Interpretable Graph Structure in Multi-Task Learning. CoRR (2020)
Ammar Shaker, Christoph Gärtner, Xiao He, Shujian Yu
Online Meta-Forest for Regression Data Streams. IJCNN (2020)
Ammar Shaker, Shujian Yu, Francesco Alesiani
Modular-Relatedness for Continual Learning. CoRR (2020)
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin
Towards Interpretable Multi-Task Learning Using Bilevel Programming. CoRR (2020)
Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. IJCAI (2020)
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
Bilevel Continual Learning. CoRR (2020)
Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. CoRR (2020)
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin
Towards Interpretable Multi-task Learning Using Bilevel Programming. ECML/PKDD (2) (2020)
Xiao He, Francesco Alesiani, Ammar Shaker
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks. AAAI (2019)
Ammar Shaker, Eyke Hüllermeier
TSK-Streams: Learning TSK Fuzzy Systems on Data Streams. CoRR (2019)
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
MetaBags: Bagged Meta-Decision Trees for Regression. CoRR (2018)
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
MetaBags: Bagged Meta-Decision Trees for Regression. ECML/PKDD (1) (2018)
Xiao He, Francesco Alesiani, Ammar Shaker
Efficient and Scalable Multi-task Regression on Massive Number of Tasks. CoRR (2018)
Ammar Shaker, Waleri Heldt, Eyke Hüllermeier
Learning TSK Fuzzy Rules from Data Streams. ECML/PKDD (2) (2017)
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) (2017)
Ammar Shaker, Eyke Hüllermeier
Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing 150 (2015)
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) (2014)
Ammar Shaker, Eyke Hüllermeier
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Int. J. Appl. Math. Comput. Sci. 24 (1) (2014)
Ammar Shaker, Edwin Lughofer
Self-adaptive and local strategies for a smooth treatment of drifts in data streams. Evol. Syst. 5 (4) (2014)
Ammar Shaker, Eyke Hüllermeier
Recovery Analysis for Adaptive Learning from Non-stationary Data Streams. CORES (2013)
Ammar Shaker, Robin Senge, Eyke Hüllermeier
Evolving fuzzy pattern trees for binary classification on data streams. Inf. Sci. 220 (2013)
Ammar Shaker, Edwin Lughofer
Resolving global and local drifts in data stream regression using evolving rule-based models. EAIS (2013)
Ammar Shaker, Eyke Hüllermeier
IBLStreams: a system for instance-based classification and regression on data streams. Evol. Syst. 3 (4) (2012)
Ammar Shaker, Robin Senge, Eyke Hüllermeier
Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams. LWA (2011)
Edwin Lughofer, Jean-Luc Bouchot, Ammar Shaker
On-line elimination of local redundancies in evolving fuzzy systems. Evol. Syst. 2 (3) (2011)
Jöran Beel, Bela Gipp, Ammar Shaker, Nick Friedrich
SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size). ECDL (2010)