SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size). - Jöran Beel; Bela Gipp; Ammar Shaker; Nick Friedrich (ECDL, 2010)

On-line elimination of local redundancies in evolving fuzzy systems. - Edwin Lughofer; Jean-Luc Bouchot; Ammar Shaker (Evol. Syst., 2011)

IBLStreams: a system for instance-based classification and regression on data streams. - Ammar Shaker; Eyke Hüllermeier (Evol. Syst., 2012)

Recovery Analysis for Adaptive Learning from Non-stationary Data Streams. - Ammar Shaker; Eyke Hüllermeier (CORES, 2013)

Resolving global and local drifts in data stream regression using evolving rule-based models. - Ammar Shaker; Edwin Lughofer (EAIS, 2013)

Evolving fuzzy pattern trees for binary classification on data streams. - Ammar Shaker; Robin Senge; Eyke Hüllermeier (Inf. Sci., 2013)

Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. - Ammar Shaker; Eyke Hüllermeier (Int. J. Appl. Math. Comput. Sci., 2014)

Self-adaptive and local strategies for a smooth treatment of drifts in data streams. - Ammar Shaker; Edwin Lughofer (Evol. Syst., 2014)

Open challenges for data stream mining research. - Georg Krempl; Indre Zliobaite; Dariusz Brzezinski; Eyke Hüllermeier; Mark Last; Vincent Lemaire 001; Tino Noack; Ammar Shaker; Sonja Sievi; Myra Spiliopoulou; Jerzy Stefanowski (SIGKDD Explor., 2014)

Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. - Ammar Shaker; Eyke Hüllermeier (Neurocomputing, 2015)

Learning TSK Fuzzy Rules from Data Streams. - Ammar Shaker; Waleri Heldt; Eyke Hüllermeier (ECML/PKDD (2), 2017)

Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic. - Marie Christin Platenius; Ammar Shaker; Matthias Becker 001; Eyke Hüllermeier; Wilhelm Schäfer (IEEE Trans. Software Eng., 2017)

Novel methods for mining and learning from data streams - Ammar Shaker (2017)

MetaBags: Bagged Meta-Decision Trees for Regression. - Jihed Khiari; Luís Moreira-Matias; Ammar Shaker; Bernard Zenko; Saso Dzeroski (ECML/PKDD (1), 2018)

Efficient and Scalable Multi-Task Regression on Massive Number of Tasks. - Xiao He; Francesco Alesiani; Ammar Shaker (AAAI, 2019)

TSK-Streams: Learning TSK Fuzzy Systems on Data Streams. - Ammar Shaker; Eyke Hüllermeier (CoRR, 2019)

Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications. - Shujian Yu; Ammar Shaker; Francesco Alesiani; José C. Príncipe (IJCAI, 2020)

Online Meta-Forest for Regression Data Streams. - Ammar Shaker; Christoph Gärtner; Xiao He; Shujian Yu (IJCNN, 2020)

Towards Interpretable Multi-task Learning Using Bilevel Programming. - Francesco Alesiani; Shujian Yu; Ammar Shaker; Wenzhe Yin (ECML/PKDD (2), 2020)

Learning an Interpretable Graph Structure in Multi-Task Learning. - Shujian Yu; Francesco Alesiani; Ammar Shaker; Wenzhe Yin (CoRR, 2020)

Bilevel Continual Learning. - Ammar Shaker; Francesco Alesiani; Shujian Yu; Wenzhe Yin (IJCNN, 2021)

Learning to Transfer with von Neumann Conditional Divergence. - Ammar Shaker; Shujian Yu (CoRR, 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; Daniel Oñoro-Rubio (AAAI, 2022)

MILIE: Modular & Iterative Multilingual Open Information Extraction. - Bhushan Kotnis; Kiril Gashteovski; Daniel Oñoro-Rubio; Ammar Shaker; Vanesa Rodriguez-Tembras; Makoto Takamoto; Mathias Niepert; Carolin Lawrence (ACL (1), 2022)

Uncertainty Propagation in Node Classification. - Zhao Xu 001; Carolin Lawrence; Ammar Shaker; Raman Siarheyeu (ICDM, 2022)

Modular-Relatedness for Continual Learning. - Ammar Shaker; Francesco Alesiani; Shujian Yu (IDA, 2022)

A Human-Centric Assessment Framework for AI. - Sascha Saralajew; Ammar Shaker; Zhao Xu 001; Kiril Gashteovski; Bhushan Kotnis; Wiem Ben Rim; Jürgen Quittek; Carolin Lawrence (CoRR, 2022)

Human-Centric Research for NLP: Towards a Definition and Guiding Questions. - Bhushan Kotnis; Kiril Gashteovski; Julia Gastinger; Giuseppe Serra 002; Francesco Alesiani; Timo Sztyler; Ammar Shaker; Na Gong; Carolin Lawrence; Zhao Xu 001 (CoRR, 2022)

Multi-Source Survival Domain Adaptation. - Ammar Shaker; Carolin Lawrence (AAAI, 2023)

A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision. - Wiem Ben Rim; Ammar Shaker; Zhao Xu 001; Kiril Gashteovski; Bhushan Kotnis; Carolin Lawrence; Jürgen Quittek; Sascha Saralajew (ECML/PKDD (5), 2024)

A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations. - Sascha Saralajew; Ashish Rana; Thomas Villmann; Ammar Shaker (AAAI, 2025)

Tracing Pain: Predictive Modeling for Migraine and Headache Triggers. - Israa Alqassem; Piyush Borole; Ammar Shaker; Ajitha Rajan (ICHI, 2025)