Shaker, Ammar

9 publications

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

ECML-PKDD 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

AAAI 2023 Multi-Source Survival Domain Adaptation Ammar Shaker, Carolin Lawrence

AAAI 2022 Learning to Transfer with Von Neumann Conditional Divergence Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio

IJCAI 2020 Measuring the Discrepancy Between Conditional Distributions: Methods, Properties and Applications Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe

ECML-PKDD 2020 Towards Interpretable Multi-Task Learning Using Bilevel Programming Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin

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

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

ECML-PKDD 2017 Learning TSK Fuzzy Rules from Data Streams Ammar Shaker, Waleri Heldt, Eyke Hüllermeier