Ammar Shaker

44 papers A* 6B 3Journal 23Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Prototype-Based Learning for Healthcare: A Demonstration of Interpretable AI.
CoRR
Ashish Rana, Ammar Shaker, Sascha Saralajew, Takashi Suzuki, Kosuke Yasuda, Shintaro Kato, Toshikazu Wada, Toshiyuki Fujikawa, Toru Kikutsuji
2025 A* conf
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations.
AAAI
Sascha Saralajew, Ashish Rana, Thomas Villmann, Ammar Shaker
2025 — conf
Prototype-Based Learning for Healthcare: A Demonstration of Interpretable AI.
ICDM (Workshops)
Ashish Rana, Ammar Shaker, Sascha Saralajew, Takashi Suzuki, Kosuke Yasuda, Shintaro Kato, Toshikazu Wada, Toshiyuki Fujikawa, Toru Kikutsuji
2025 — conf
Tracing Pain: Predictive Modeling for Migraine and Headache Triggers.
ICHI
Israa Alqassem, Piyush Borole, Ammar Shaker, Ajitha Rajan
2024 — conf
A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision.
ECML/PKDD (5)
Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew
2024 J jnl
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations.
CoRR
Sascha Saralajew, Ashish Rana, Thomas Villmann, Ammar Shaker
2023 A* conf
Multi-Source Survival Domain Adaptation.
AAAI
Ammar Shaker, Carolin Lawrence
2023 J jnl
Uncertainty Propagation in Node Classification.
CoRR
Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu
2022 J jnl
A Human-Centric Assessment Framework for AI.
CoRR
Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence
2022 J jnl
Human-Centric Research for NLP: Towards a Definition and Guiding Questions.
CoRR
Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu
2022 A* conf
Learning to Transfer with von Neumann Conditional Divergence.
AAAI
Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio
2022 — conf
MILIE: Modular & Iterative Multilingual Open Information Extraction.
ACL (1)
Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro-Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence
2022 B conf
Modular-Relatedness for Continual Learning.
IDA
Ammar Shaker, Francesco Alesiani, Shujian Yu
2022 J jnl
Multi-Source Survival Domain Adaptation.
CoRR
Ammar Shaker, Carolin Lawrence
2022 A* conf
Uncertainty Propagation in Node Classification.
ICDM
Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu
2021 B conf
Bilevel Continual Learning.
IJCNN
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
2021 J jnl
Learning to Transfer with von Neumann Conditional Divergence.
CoRR
Ammar Shaker, Shujian Yu
2021 J jnl
TSK-Streams: learning TSK fuzzy systems for regression on data streams.
Data Min. Knowl. Discov.
Ammar Shaker, Eyke Hüllermeier
2020 J jnl
Bilevel Continual Learning.
CoRR
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
2020 J jnl
Learning an Interpretable Graph Structure in Multi-Task Learning.
CoRR
Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin
2020 A* conf
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications.
IJCAI
Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
2020 J jnl
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications.
CoRR
Shujian Yu, Ammar Shaker, Francesco Alesiani, José C. Príncipe
2020 B conf
Online Meta-Forest for Regression Data Streams.
IJCNN
Ammar Shaker, Christoph Gärtner, Xiao He, Shujian Yu
2020 J jnl
Towards Interpretable Multi-Task Learning Using Bilevel Programming.
CoRR
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin
2020 — conf
Towards Interpretable Multi-task Learning Using Bilevel Programming.
ECML/PKDD (2)
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin
2019 A* conf
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks.
AAAI
Xiao He, Francesco Alesiani, Ammar Shaker
2019 J jnl
TSK-Streams: Learning TSK Fuzzy Systems on Data Streams.
CoRR
Ammar Shaker, Eyke Hüllermeier
2018 J jnl
Efficient and Scalable Multi-task Regression on Massive Number of Tasks.
CoRR
Xiao He, Francesco Alesiani, Ammar Shaker
2018 — conf
MetaBags: Bagged Meta-Decision Trees for Regression.
ECML/PKDD (1)
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
2018 J jnl
MetaBags: Bagged Meta-Decision Trees for Regression.
CoRR
Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski
2017 J jnl
Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic.
IEEE Trans. Software Eng.
Marie Christin Platenius, Ammar Shaker, Matthias Becker, Eyke Hüllermeier, Wilhelm Schäfer
2017 — conf
Learning TSK Fuzzy Rules from Data Streams.
ECML/PKDD (2)
Ammar Shaker, Waleri Heldt, Eyke Hüllermeier
2017 — —
Novel methods for mining and learning from data streams
Ammar Shaker
2015 J jnl
Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study.
Neurocomputing
Ammar Shaker, Eyke Hüllermeier
2014 J jnl
Open challenges for data stream mining research.
SIGKDD Explor.
Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski
2014 J jnl
Self-adaptive and local strategies for a smooth treatment of drifts in data streams.
Evol. Syst.
Ammar Shaker, Edwin Lughofer
2014 J jnl
Survival analysis on data streams: Analyzing temporal events in dynamically changing environments.
Int. J. Appl. Math. Comput. Sci.
Ammar Shaker, Eyke Hüllermeier
2013 J jnl
Evolving fuzzy pattern trees for binary classification on data streams.
Inf. Sci.
Ammar Shaker, Robin Senge, Eyke Hüllermeier
2013 — conf
Recovery Analysis for Adaptive Learning from Non-stationary Data Streams.
CORES
Ammar Shaker, Eyke Hüllermeier
2013 — conf
Resolving global and local drifts in data stream regression using evolving rule-based models.
EAIS
Ammar Shaker, Edwin Lughofer
2012 J jnl
IBLStreams: a system for instance-based classification and regression on data streams.
Evol. Syst.
Ammar Shaker, Eyke Hüllermeier
2011 — conf
Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams.
LWA
Ammar Shaker, Robin Senge, Eyke Hüllermeier
2011 J jnl
On-line elimination of local redundancies in evolving fuzzy systems.
Evol. Syst.
Edwin Lughofer, Jean-Luc Bouchot, Ammar Shaker
2010 — conf
SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size).
ECDL
Jöran Beel, Bela Gipp, Ammar Shaker, Nick Friedrich