Ammar Shaker

According to our database, Ammar Shaker authored at least 31 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision.

Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Multi-Source Survival Domain Adaptation.

Ammar Shaker, Carolin Lawrence

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Human-Centric Research for NLP: Towards a Definition and Guiding Questions.

Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu

CoRR, 2022

A Human-Centric Assessment Framework for AI.

Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence

CoRR, 2022

Modular-Relatedness for Continual Learning.

Ammar Shaker, Francesco Alesiani, Shujian Yu

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Uncertainty Propagation in Node Classification.

Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu

Proceedings of the IEEE International Conference on Data Mining, 2022

MILIE: Modular & Iterative Multilingual Open Information Extraction.

Bhushan Kotnis, Kiril Gashteovski, Daniel Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Learning to Transfer with von Neumann Conditional Divergence.

Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

TSK-Streams: learning TSK fuzzy systems for regression on data streams.

Ammar Shaker, Eyke Hüllermeier

Data Min. Knowl. Discov., 2021

Learning to Transfer with von Neumann Conditional Divergence.

Ammar Shaker, Shujian Yu

CoRR, 2021

Bilevel Continual Learning.

Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Learning an Interpretable Graph Structure in Multi-Task Learning.

Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin

CoRR, 2020

Towards Interpretable Multi-task Learning Using Bilevel Programming.

Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Online Meta-Forest for Regression Data Streams.

Ammar Shaker, Christoph Gärtner, Xiao He, Shujian Yu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications.

Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

TSK-Streams: Learning TSK Fuzzy Systems on Data Streams.

Ammar Shaker, Eyke Hüllermeier

CoRR, 2019

Efficient and Scalable Multi-Task Regression on Massive Number of Tasks.

Xiao He, Francesco Alesiani, Ammar Shaker

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

MetaBags: Bagged Meta-Decision Trees for Regression.

Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Novel methods for mining and learning from data streams

Ammar Shaker

PhD thesis, 2017

Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.

Marie Christin Platenius, Ammar Shaker, Matthias Becker, Eyke Hüllermeier, Wilhelm Schäfer

IEEE Trans. Software Eng., 2017

Learning TSK Fuzzy Rules from Data Streams.

Ammar Shaker, Waleri Heldt, Eyke Hüllermeier

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2015

Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study.

Ammar Shaker, Eyke Hüllermeier

Neurocomputing, 2015

2014

Open challenges for data stream mining research.

Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski

SIGKDD Explor., 2014

Self-adaptive and local strategies for a smooth treatment of drifts in data streams.

Ammar Shaker, Edwin Lughofer

Evol. Syst., 2014

Survival analysis on data streams: Analyzing temporal events in dynamically changing environments.

Ammar Shaker, Eyke Hüllermeier

Int. J. Appl. Math. Comput. Sci., 2014

2013

Evolving fuzzy pattern trees for binary classification on data streams.

Ammar Shaker, Robin Senge, Eyke Hüllermeier

Inf. Sci., 2013

Resolving global and local drifts in data stream regression using evolving rule-based models.

Ammar Shaker, Edwin Lughofer

Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

Recovery Analysis for Adaptive Learning from Non-stationary Data Streams.

Ammar Shaker, Eyke Hüllermeier

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2012

IBLStreams: a system for instance-based classification and regression on data streams.

Ammar Shaker, Eyke Hüllermeier

Evol. Syst., 2012

2011

On-line elimination of local redundancies in evolving fuzzy systems.

Edwin Lughofer, Jean-Luc Bouchot, Ammar Shaker

Evol. Syst., 2011

2010

SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size).

Jöran Beel, Bela Gipp, Ammar Shaker, Nick Friedrich

Proceedings of the Research and Advanced Technology for Digital Libraries, 2010