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Stefan Wrobel

Stefan Wrobel

D-Index & Metrics

Computer Science

D-Index
40
Citations
10142
World Ranking
9108
National Ranking
452

Overview

Stefan Wrobel is affiliated with the University of Bonn in Germany. Their research primarily falls within the broad domain of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Statistical and Nonlinear Physics, and Signal Processing.

The scientist's work covers a range of topics related to machine learning, graph theory, and data analysis. Key topics include Advanced Graph Neural Networks, Graph Theory and Algorithms, Machine Learning and Algorithms, Explainable Artificial Intelligence (XAI), Adversarial Robustness in Machine Learning, Data Visualization and Analytics, and Topological and Geometric Data Analysis.

Frequent coauthors collaborating with Stefan Wrobel include Tamás Horváth, Maram Akila, Florian Seiffarth, Alexander Kister, and Tim Wirtz. These partnerships reflect ongoing contributions to research communities centered around machine learning and computational theory.

Publications by Stefan Wrobel have appeared in various venues, with multiple works published in arXiv (Cornell University). Other notable publication venues where their work is found include Machine Learning, at - Automatisierungstechnik, SSRN Electronic Journal, and the European Journal of Agronomy.

Examples of recent papers authored or co-authored by Stefan Wrobel are as follows:

  • "A theoretical model for pattern discovery in visual analytics," 2020, Visual Informatics
  • "A generalized Weisfeiler-Lehman graph kernel," 2022, Machine Learning
  • "Research priorities to leverage smart digital technologies for sustainable crop production," 2024, European Journal of Agronomy
  • "Visual Analytics for Human-Centered Machine Learning," 2022, IEEE Computer Graphics and Applications
  • "Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews," 2024, International Journal of Medical Informatics

Best Publications

  • On Graph Kernels: Hardness Results and Efficient Alternatives

    Thomas Gärtner;Thomas Gärtner;Peter A. Flach;Stefan Wrobel

  • An Algorithm for Multi-relational Discovery of Subgroups

    Stefan Wrobel

  • Active Hidden Markov Models for Information Extraction

    Tobias Scheffer;Christian Decomain;Stefan Wrobel

  • Geovisual analytics for spatial decision support: Setting the research agenda

    G. Andrienko;N. Andrienko;P. Jankowski;D. Keim

  • Visual analytics tools for analysis of movement data

    Gennady Andrienko;Natalia Andrienko;Stefan Wrobel

  • Cyclic pattern kernels for predictive graph mining

    Tamás Horváth;Thomas Gärtner;Stefan Wrobel

  • Visual Analytics of Movement

    Gennady Andrienko;Natalia Andrienko;Peter Bak;Daniel Keim

  • A review of machine learning for the optimization of production processes

    Dorina Weichert;Patrick Link;Anke Stoll;Stefan Rüping

  • Efficient co-regularised least squares regression

    Ulf Brefeld;Thomas Gärtner;Tobias Scheffer;Stefan Wrobel

  • Movement Data Anonymity through Generalization

    Anna Monreale;Gennady Andrienko;Natalia Andrienko;Fosca Giannotti

  • A conceptual framework and taxonomy of techniques for analyzing movement

    G. Andrienko;N. Andrienko;P. Bak;D. Keim

  • Comparative Evaluation of Approaches to Propositionalization

    Mark-A. Krogel;Simon Rawles;Filip Železný;Filip Železný;Peter A. Flach

  • Transformation-based learning using multirelational aggregation

    Mark-A. Krogel;Stefan Wrobel

  • Inductive Logic Programming for Knowledge Discovery in Databases

    Stefan Wrobel

  • From movement tracks through events to places: Extracting and characterizing significant places from mobility data

    Gennady Andrienko;Natalia Andrienko;Christophe Hurter;Salvatore Rinzivillo

  • Proceedings of the 22nd international conference on Machine learning

    Saso Dzeroski;Luc De Raedt;Stefan Wrobel

  • Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications

    Katharina Morik;Stefan Wrobel;Jörg-Uwe Kietz;Werner Emde

  • Frequent subgraph mining in outerplanar graphs

    Tamás Horváth;Jan Ramon;Stefan Wrobel

  • Tight optimistic estimates for fast subgroup discovery

    Henrik Grosskreutz;Stefan Rüping;Stefan Wrobel

  • Concept Formation and Knowledge Revision

    Stefan Wrobel

  • Movement data anonymity through generalization

    Gennady Andrienko;Natalia Andrienko;Fosca Giannotti;Anna Monreale

Frequent Co-Authors

Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Daniel A. Keim
Daniel A. Keim University of Konstanz
Christian Bauckhage
Christian Bauckhage University of Bonn
Tobias Scheffer
Tobias Scheffer University of Potsdam
Nada Lavrač
Nada Lavrač Jozef Stefan Institute
Luc De Raedt
Luc De Raedt KU Leuven
Jan Ramon
Jan Ramon French Institute for Research in Computer Science and Automation - INRIA
Michel Verleysen
Michel Verleysen Université Catholique de Louvain
Thomas Seidl
Thomas Seidl Ludwig-Maximilians-Universität München

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