Stefan Wrobel

Affiliations:
  • Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany
  • University of Bonn, Germany


According to our database1, Stefan Wrobel authored at least 138 papers between 1987 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2022
A generalized Weisfeiler-Lehman graph kernel.
Mach. Learn., 2022

Robustness in Fatigue Strength Estimation.
CoRR, 2022

A Fast Heuristic for Computing Geodesic Cores in Large Networks.
CoRR, 2022

Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs.
CoRR, 2022

Tailored Uncertainty Estimation for Deep Learning Systems.
CoRR, 2022

Visual Analytics for Human-Centered Machine Learning.
IEEE Computer Graphics and Applications, 2022

The why and how of trustworthy AI.
Autom., 2022

A Fast Heuristic for Computing Geodesic Closures in Large Networks.
Proceedings of the Discovery Science - 25th International Conference, 2022

Graph Filtration Kernels.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning.
Proceedings of the Designing Data Spaces: The Ecosystem Approach to Competitive Advantage, 2022

2021
A theoretical model for pattern discovery in visual analytics.
Vis. Informatics, 2021

Constructing Spaces and Times for Tactical Analysis in Football.
IEEE Trans. Vis. Comput. Graph., 2021

A Novel Regression Loss for Non-Parametric Uncertainty Optimization.
CoRR, 2021

Learning Weakly Convex Sets in Metric Spaces.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020
Effective approximation of parametrized closure systems over transactional data streams.
Mach. Learn., 2020

Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties.
CoRR, 2020

Learning Syllogism with Euler Neural-Networks.
CoRR, 2020

Adiabatic Quantum Computing for Max-Sum Diversification.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Maximum Margin Separations in Finite Closure Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

HOPS: Probabilistic Subtree Mining for Small and Large Graphs.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Decision Snippet Features.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Probabilistic and exact frequent subtree mining in graphs beyond forests.
Mach. Learn., 2019

Maximal Closed Set and Half-Space Separations in Finite Closure Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Support Estimation in Frequent Itemset Mining by Locality Sensitive Hashing.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Max-Sum Dispersion via Quantum Annealing.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

A QUBO Formulation of the k-Medoids Problem.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Artificial Intelligence Meets IS Researchers: Can it Replace Us?
Proceedings of the 40th International Conference on Information Systems, 2019

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018
Probabilistic frequent subtrees for efficient graph classification and retrieval.
Mach. Learn., 2018

Mining Tree Patterns with Partially Injective Homomorphisms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Efficient Decentralized Deep Learning by Dynamic Model Averaging.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Adiabatic Quantum Computing for Kernel k=2 Means Clustering.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Informed Machine Learning Through Functional Composition.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Policy Learning Using SPSA.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Learning from Structured Data.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Graph Kernels.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Co-Regularised Support Vector Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Using Echo State Networks for Cryptography.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Ising Models for Binary Clustering via Adiabatic Quantum Computing.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016
Ligand-Based Virtual Screening with Co-regularised Support Vector Regression.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Min-Hashing for Probabilistic Frequent Subtree Feature Spaces.
Proceedings of the Discovery Science - 19th International Conference, 2016

2015
Big Data, Big Opportunities - Anwendungssituation und Forschungsbedarf des Themas Big Data in Deutschland.
Inform. Spektrum, 2015

Probabilistic Frequent Subtree Kernels.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Whole-body self-calibration via graph-optimization and automatic configuration selection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
On the Complexity of Frequent Subtree Mining in Very Simple Structures.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Big Data Analytics - Vom Maschinellen Lernen zur DataScience.
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014

2013
Scalable Analysis of Movement Data for Extracting and Exploring Significant Places.
IEEE Trans. Vis. Comput. Graph., 2013

One click mining: interactive local pattern discovery through implicit preference and performance learning.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Maschinelles Lernen und Data Mining.
Proceedings of the Handbuch der Künstlichen Intelligenz, 5. Auflage, 2013

Visual Analytics of Movement.
Springer, ISBN: 978-3-642-37582-8, 2013

2012
Spatiotemporal Modeling and Analysis - Introduction and Overview.
Künstliche Intell., 2012

Special Issue on Spatiotemporal Modeling and Analysis.
Künstliche Intell., 2012

Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081).
Dagstuhl Reports, 2012

Pedestrian Quantity Estimation with Trajectory Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Challenging problems of geospatial visual analytics.
J. Vis. Lang. Comput., 2011

A conceptual framework and taxonomy of techniques for analyzing movement.
J. Vis. Lang. Comput., 2011

Introduction to the special issue on mining and learning with graphs.
Mach. Learn., 2011

From movement tracks through events to places: Extracting and characterizing significant places from mobility data.
Proceedings of the 6th IEEE Conference on Visual Analytics Science and Technology, 2011

2010
Spatial Data Mining in Practice: Principles and Case Studies.
Proceedings of the Data Mining for Business Applications, 2010

Learning from Structured Data.
Proceedings of the Encyclopedia of Machine Learning, 2010

Graph Kernels.
Proceedings of the Encyclopedia of Machine Learning, 2010

Movement Data Anonymity through Generalization.
Trans. Data Priv., 2010

Listing closed sets of strongly accessible set systems with applications to data mining.
Theor. Comput. Sci., 2010

Frequent subgraph mining in outerplanar graphs.
Data Min. Knowl. Discov., 2010

Listing closed sets of strongly accessible set systems with applications to data.
Proceedings of the LWA 2010, 2010

On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms.
Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

eHumanities: Intelligent Analysis and Information System for Humanities and Culture.
Proceedings of the 40. Jahrestagung der Gesellschaft für Informatik, Service Science - Neue Perspektiven für die Informatik, INFORMATIK 2010, Leipzig, Germany, September 27, 2010

10471 Executive Summary - Scalable Visual Analytics.
Proceedings of the Scalable Visual Analytics, 21.11. - 26.11.2010, 2010

10471 Abstracts Collection - Scalable Visual Analytics.
Proceedings of the Scalable Visual Analytics, 21.11. - 26.11.2010, 2010

Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility Applications.
Proceedings of the Geospatial Thinking, 2010

2009
Efficient discovery of interesting patterns based on strong closedness.
Stat. Anal. Data Min., 2009

Context-Based Clustering of Image Search Results.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

A Logic-Based Approach to Relation Extraction from Texts.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters.
Proceedings of the ICDM Workshops 2009, 2009

Metadata Extraction using Text Mining.
Proceedings of the Healthgrid Research, Innovation and Business Case - Proceedings of HealthGrid 2009, Berlin, Germany, 29 June, 2009

2008
Visual Analytics Methods for Movement Data.
Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008

Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds.
J. Chem. Inf. Model., 2008

Tight Optimistic Estimates for Fast Subgroup Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Facilitating Clinico-Genomic Knowledge Discovery by Automatic Selection of KDD Processes.
Proceedings of the LWA 2008, 2008

2007
Visual analytics tools for analysis of movement data.
SIGKDD Explor., 2007

Geovisual analytics for spatial decision support: Setting the research agenda.
Int. J. Geogr. Inf. Sci., 2007

Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract).
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Semidefinite Ranking on Graphs.
Proceedings of the Mining and Learning with Graphs, 2007

Efficient Closed Pattern Mining in Strongly Accessible Set Systems.
Proceedings of the Mining and Learning with Graphs, 2007

2006
Intelligenz ist Lernen - 50 Jahre Künstliche Intelligenz und Maschinelles Lernen.
Künstliche Intell., 2006

Bias-free hypothesis evaluation in multirelational domains.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Effective rule induction from labeled graphs.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Efficient co-regularised least squares regression.
Proceedings of the Machine Learning, 2006

Multi-class Ensemble-Based Active Learning.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Kernels for Predictive Graph Mining.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004
Cyclic pattern kernels for predictive graph mining.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning.
Proceedings of the Machine Learning, 2004

2003
Multirelational data mining 2003: workshop report.
SIGKDD Explor., 2003

Comparative Evaluation of Approaches to Propositionalization.
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting.
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Learning Minesweeper with Multirelational Learning.
Proceedings of the IJCAI-03, 2003

On Graph Kernels: Hardness Results and Efficient Alternatives.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

Maschinelles Lernen und Data Mining.
Proceedings of the Handbuch der Künstlichen Intelligenz, 4. Auflage, 2003

2002
Lerning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text.
Künstliche Intell., 2002

Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling.
J. Mach. Learn. Res., 2002

A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

On the Stability of Example-Driven Learning Systems: A Case Study in Multirelational Learning.
Proceedings of the MICAI 2002: Advances in Artificial Intelligence, 2002

Scaling Boosting by Margin-Based Inclusionof Features and Relations.
Proceedings of the Machine Learning: ECML 2002, 2002

Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique.
Proceedings of the Machine Learning: ECML 2002, 2002

Feature Selection for Propositionalization.
Proceedings of the Discovery Science, 5th International Conference, 2002

2001
Relational Instance-Based Learning with Lists and Terms.
Mach. Learn., 2001

Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Transformation-Based Learning Using Multirelational Aggregation.
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

Relational Learning Using Constrained Confidence-Rated Boosting.
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

Active Hidden Markov Models for Information Extraction.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Mining the Web with Active Hidden Markov Models.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity.
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

2000
A sequential sampling algorithm for a general class of utility criteria.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Extending K-Means Clustering to First-Order Representations.
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

1999
Application of Different Learning Methods to Hungarian Part-of-Speech Tagging.
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999

1998
Data Mining Serviceteil.
Künstliche Intell., 1998

Data Mining und Wissensentdeckung in Datenbanken.
Künstliche Intell., 1998

Einsatz von Data Mining-Techniken zur Analyse ökologischer Standort- und Pflanzendaten.
Künstliche Intell., 1998

Relational Distance-Based Clustering.
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Term Comparisons in First-Order Similarity Measures.
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Measuring similarity of RNA structures by relational instance-based learning: A first step toward detecting RNA signal structures in silico.
Proceedings of the German Conference on Bioinformatics, 1998

Scalability Issues in Inductive Logic Programming.
Proceedings of the Algorithmic Learning Theory, 9th International Conference, 1998

1997
Data Mining - Das aktuelle Schlagwort.
Künstliche Intell., 1997

Interactive Configuration in KIKon.
Proceedings of the Expertensysteme 97, 1997

An Algorithm for Multi-relational Discovery of Subgroups.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997

1996
Induktive Logikprogrammierung - Grundlagen und Techniken.
Künstliche Intell., 1996

Extensibility in Data Mining Systems.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

1994
Concept Formation During Interactive Theory Revision.
Mach. Learn., 1994

Concept formation and knowledge revision: a demand driven approach to representation change.
Kluwer, ISBN: 978-0-7923-9500-3, 1994

1993
On the Proper Definition of Minimality in Specialization and Theory Revision.
Proceedings of the Machine Learning: ECML-93, 1993

1991
Die Umweltverankerung von Begriffsbildungsprozessen.
Künstliche Intell., 1991

Towards a Model of Grounded Concept Formation.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Panel: Evaluating and Changing Representation in Concept Acquisition.
Proceedings of the Machine Learning, 1991

1988
Design Goals for Sloppy Modeling Systems.
Int. J. Man Mach. Stud., 1988

Automatic Representation Adjustment in an Observational Discovery System.
Proceedings of the Third European Working Session on Learning, 1988

1987
Demand-Driven Concept Formation.
Proceedings of the Knowledge Representation and Organization in Machine Learning [Workshop, 1987

Higher-order Concepts in a Tractable Knowledge Representation.
Proceedings of the GWAI-87, 11th German Workshop on Artificial Intelligence, Geseke, Germany, September 28, 1987


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