S. Wrobel

发表

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

Katharina Morik, Stefan Wrobel, Werner Emde, 1993 .

Artificial Intelligence Meets IS Researchers: Can it Replace Us?

Omar El Sawy, Stefan Wrobel, Dov Te'eni, 2019, ICIS.

Tight Optimistic Estimates for Fast Subgroup Discovery

Stefan Wrobel, Stefan Rüping, Henrik Grosskreutz, 2008, ECML/PKDD.

Frequent subgraph mining in outerplanar graphs

Jan Ramon, Stefan Wrobel, Tamás Horváth, 2006, KDD.

Pedestrian Quantity Estimation with Trajectory Patterns

Thomas Liebig, Stefan Wrobel, Zhao Xu, 2012, ECML/PKDD.

6th IEEE Conference on Visual Analytics Science and Technology, IEEE VAST 2011, Providence, RI, USA, October 23-28, 2011

Xiao Zhang, Alex Endert, Matthew O. Ward, 2011, IEEE VAST.

First Order Theory Reenement

S. Wrobel, 1996 .

Algebraic Uncertainty Theory A Unifying Perspective on Reasoning under Uncertainty

S. Wrobel, 2013 .

Concept Formation and Knowledge Revision

S. Wrobel, 1994, Springer US.

Efficient co-regularised least squares regression

Thomas Gärtner, Ulf Brefeld, Stefan Wrobel, 2006, ICML.

A conceptual framework and taxonomy of techniques for analyzing movement

Slava Kisilevich, Daniel A. Keim, Stefan Wrobel, 2011, J. Vis. Lang. Comput..

Chapter 13-Visual Analytics Methods for Movement Data

S. Wrobel, G. Andrienko, N. Andrienko, 2007 .

Completing Inverse Entailment

S. Wrobel, 2022 .

Identi cation of Relevant Patterns in Spectral Signatures

S. Wrobel, U. Rascher, Christoph Römer, 2015 .

Tailored Uncertainty Estimation for Deep Learning Systems

Jan David Schneider, T. Wirtz, S. Wrobel, 2022, ArXiv.

Draft Pedestrian Quantity Estimation with Trajectory Patterns

S. Wrobel, T. Liebig, Zhao Xu, 2014 .

Active Learning of Partially Hidden Markov Models

Stefan Wrobel, Tobias Scheffer, S. Wrobel, 2001 .

Maximum Margin Separations in Finite Closure Systems

T. Horváth, S. Wrobel, F. Seiffarth, 2020, ECML/PKDD.

Graph Kernels

Thomas Gärtner, Stefan Wrobel, Tamás Horváth, 2017, Encyclopedia of Machine Learning and Data Mining.

Graph Kernels

Thomas Gärtner, Stefan Wrobel, Tamás Horváth, 2010, Encyclopedia of Machine Learning.

Learning from Labeled and Unlabeled Data

Lise Getoor, Stefan Wrobel, Stefan Schaal, 2010, Encyclopedia of Machine Learning.

Stefan Wrobel, Tamás Horváth, Uta Bohnebeck, 1998, German Conference on Bioinformatics.

User Interactivity in Very Large Scale Data Mining

D. Wettschereck, Schloss Birlinghoven, S. Wrobel, 2007 .

Effective Rule Induction from Molecular Structures Represented by Labeled Graphs.

T. Horváth, S. Wrobel, S. Hoche, 2003 .

Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs

T. Wirtz, S. Wrobel, Nathalie Paul, 2022, ArXiv.

Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005

Luc De Raedt, Stefan Wrobel, L. D. Raedt, 2005, ICML.

Special issue on inductive logic programming

Luc De Raedt, Stefan Wrobel, L. D. Raedt, 2001 .

Maximal Closed Set and Half-Space Separations in Finite Closure Systems

T. Horváth, S. Wrobel, F. Seiffarth, 2019, ECML/PKDD.

Visual Analytics for Human-Centered Machine Learning

S. Wrobel, G. Andrienko, N. Andrienko, 2022, IEEE Computer Graphics and Applications.

A Fast Heuristic for Computing Geodesic Cores in Large Networks

S. Wrobel, F. Seiffarth, Tam'as Horv'ath, 2022, DS.

Lerning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text

Susanne Hoche, Stefan Wrobel, Tobias Scheffer, 2002, Künstliche Intell..

Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems

Stefan Wrobel, Tobias Scheffer, S. Wrobel, 2001, ICML.

Proceedings of the 8th European Conference on Machine Learning

Stefan Wrobel, Nada Lavrač, N. Lavrac, 1995 .

Applications of the Graph Tukey Depth

T. Horváth, S. Wrobel, F. Seiffarth, 2022 .

Effective approximation of parametrized closure systems over transactional data streams

T. Horváth, S. Wrobel, Daniel Trabold, 2019, Machine Learning.

Machine Learning, Special Issue on Learning and Mining with Graphs, 82(2)

Sundar Vishwanathan, Jennifer Neville, Stefan Wrobel, 2011 .

A theoretical model for pattern discovery in visual analytics

Heidrun Schumann, Silvia Miksch, Stefan Wrobel, 2021, Vis. Informatics.

Ising Models for Binary Clustering via Adiabatic Quantum Computing

Christian Bauckhage, Stefan Wrobel, Rafet Sifa, 2017, EMMCVPR.

Adiabatic Quantum Computing for Binary Clustering

Christian Bauckhage, Stefan Wrobel, Rafet Sifa, 2017, 1706.05528.

Scalability Issues in Inductive Logic Programming

Stefan Wrobel, S. Wrobel, 1998, ALT.

Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures

Christian Bauckhage, Stefan Wrobel, Rajkumar Ramamurthy, 2019, ICANN.

Active Hidden Markov Models for Information Extraction

Stefan Wrobel, Tobias Scheffer, Christian Decomain, 2001, IDA.

Informed Machine Learning Through Functional Composition

Christian Bauckhage, Stefan Wrobel, Rafet Sifa, 2018, LWDA.

A review of machine learning for the optimization of production processes

Stefan Wrobel, Stefan Rüping, Patrick Link, 2019, The International Journal of Advanced Manufacturing Technology.

Learning Word-to-Concept Mappings for Automatic Text Classification

Gerhard Weikum, Stefan Wrobel, Luc de Raedt, 2005, ICML 2005.

Application of Diierent Learning Methods to Hungarian Part-of-speech Tagging

S. Wrobel, T. Gyim, 1999 .

On Graph Kernels: Hardness Results and Efficient Alternatives

Thomas Gärtner, Peter A. Flach, Stefan Wrobel, 2003, COLT.

Data Mining with Graphical Models

Stefan Wrobel, Hans-Joachim Lenz, S. Wrobel, 2000 .

Multi-class Ensemble-Based Active Learning

Stefan Wrobel, Christine Kopp, S. Wrobel, 2006, ECML.

Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity

Stefan Wrobel, Tamás Horváth, T. Horváth, 2001, Discovery Science.

Mining the Web with active hidden Markov models

Stefan Wrobel, Tobias Scheffer, Christian Decomain, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

Towards a Model of Grounded Concept Formation

Stefan Wrobel, S. Wrobel, 1991, IJCAI.

Efficient Decentralized Deep Learning by Dynamic Model Averaging

Stefan Wrobel, Michael Kamp, Peter Schlicht, 2018, ECML/PKDD.

Proceedings of the 22nd international conference on Machine learning

Luc De Raedt, Saso Dzeroski, Stefan Wrobel, 2005 .

Cyclic pattern kernels for predictive graph mining

Thomas Gärtner, Stefan Wrobel, Tamás Horváth, 2004, KDD.

A generalized Weisfeiler-Lehman graph kernel pdf

Stefan Wrobel, Pascal Welke, Till Hendrik Schulz, 2021, Machine Learning.

Towards a Data Generation Tool for NoSQL Data Stores

Stefan Wrobel, Hasan Mahmud, S. Wrobel, 2018 .

Visual Analytics of Movement

Daniel A. Keim, Stefan Wrobel, Peter Bak, 2013, Springer Berlin Heidelberg.

Visual Analytics for Data Scientists

Cagatay Turkay, Aidan Slingsby, Gennady Andrienko, 2020 .

Extensibility in Data Mining Systems

Stefan Wrobel, Edgar Sommer, Dietrich Wettschereck, 1996, KDD.

Visual analytics tools for analysis of movement data

Stefan Wrobel, Gennady L. Andrienko, Natalia V. Andrienko, 2007, SKDD.

An Algorithm for Multi-relational Discovery of Subgroups

Stefan Wrobel, S. Wrobel, 1997, PKDD.

Machine Learning: ECML-95

Stefan Wrobel, Nada Lavrač, S. Wrobel, 1995, Lecture Notes in Computer Science.

Geovisual analytics for spatial decision support: Setting the research agenda

Daniel A. Keim, Stefan Wrobel, Alan M. MacEachren, 2007, Int. J. Geogr. Inf. Sci..

Configuration of Telecommunication Systems in KIKon

Stefan Wrobel, Wolfgang Orth, Michael Spenke, 1996 .

Inductive Logic Programming for Knowledge Discovery in Databases

Stefan Wrobel, S. Wrobel, 2001 .

Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling

Stefan Wrobel, Tobias Scheffer, S. Wrobel, 2003, J. Mach. Learn. Res..

A sequential sampling algorithm for a general class of utility criteria

Stefan Wrobel, Tobias Scheffer, S. Wrobel, 2000, KDD '00.

Effective rule induction from labeled graphs

Susanne Hoche, Stefan Wrobel, Tamás Horváth, 2006, SAC.

Relational Instance-Based Learning with Lists and Terms

Stefan Wrobel, Tamás Horváth, Uta Bohnebeck, 2001, Machine Learning.

Inductive logic programming for knowedge discovery in databases

Stefan Wrobel, S. Wrobel, 2001 .

The ILP description learning problem: Towards a general model-level definition of data mining in ILP

Saso Dzeroski, Stefan Wrobel, Schlo Birlinghoven, 1995 .

On the Proper Definition of Minimality in Specialization and Theory Revision

Stefan Wrobel, S. Wrobel, 1993, ECML.

Automatic Representation Adjustment in an Observational Discovery System

Stefan Wrobel, S. Wrobel, 1988, EWSL.

Kernels for Predictive Graph Mining

Thomas Gärtner, Stefan Wrobel, Tamás Horváth, 2005, GfKl.

Probabilistic and exact frequent subtree mining in graphs beyond forests

Stefan Wrobel, Pascal Welke, Tamás Horváth, 2019, Machine Learning.

On the Complexity of Frequent Subtree Mining in Very Simple Structures

Stefan Wrobel, Tamás Horváth, Pascal Welke, 2014, ILP.

Movement data anonymity through generalization

Anna Monreale, Dino Pedreschi, Fosca Giannotti, 2009, SPRINGL '09.

Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds

Thomas Gärtner, Hanna Geppert, Stefan Wrobel, 2008, J. Chem. Inf. Model..

Predicting Emerging Trends in Citation Networks

Christian Bauckhage, Stefan Wrobel, César Ojeda, 2018 .

A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases

Stefan Wrobel, Tobias Scheffer, S. Wrobel, 2002, PKDD.

Transformation-Based Learning Using Multirelational Aggregation

Stefan Wrobel, Mark-A. Krogel, S. Wrobel, 2001, ILP.

Concept Formation During Interactive Theory Revision

Stefan Wrobel, S. Wrobel, 1994, Machine Learning.

Max-Sum Dispersion via Quantum Annealing

Christian Bauckhage, Stefan Wrobel, Rafet Sifa, 2019, LWDA.

Adiabatic Quantum Computing for Kernel k=2 Means Clustering

Christian Bauckhage, Stefan Wrobel, Rafet Sifa, 2018, LWDA.

Scalable Analysis of Movement Data for Extracting and Exploring Significant Places

Christophe Hurter, Stefan Wrobel, Gennady L. Andrienko, 2013, IEEE Transactions on Visualization and Computer Graphics.

Discussion and Outlook

Daniel A. Keim, Stefan Wrobel, Peter Bak, 2013 .

Application of Different Learning Methods to Hungarian Part-of-Speech Tagging

Tibor Gyimóthy, Stefan Wrobel, Zoltán Alexin, 1999, ILP.

Constructing Spaces and Times for Tactical Analysis in Football

Stefan Wrobel, Georg Fuchs, Gennady Andrienko, 2019, IEEE Transactions on Visualization and Computer Graphics.

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

Christophe Hurter, Stefan Wrobel, Gennady L. Andrienko, 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).

Spatiotemporal Modeling and Analysis—Introduction and Overview

S. Wrobel, M. May, Christine Kopp, 2012, KI - Künstliche Intelligenz.

Visual Analytics Focusing on Movers

Daniel A. Keim, Stefan Wrobel, Peter Bak, 2013 .

Challenging problems of geospatial visual analytics

Daniel A. Keim, Stefan Wrobel, Alan M. MacEachren, 2011, J. Vis. Lang. Comput..

Mining Tree Patterns with Partially Injective Homomorphisms

Stefan Wrobel, Tamás Horváth, Pascal Welke, 2018, ECML/PKDD.

Probabilistic Frequent Subtree Kernels

Stefan Wrobel, Tamás Horváth, Pascal Welke, 2015, NFMCP.

Frequent subgraph mining in outerplanar graphs

Jan Ramon, Stefan Wrobel, Tamás Horváth, 2006, KDD '06.

Visual Analytics Infrastructure

Daniel A. Keim, Stefan Wrobel, Peter Bak, 2013 .

Visual Analytics Focusing on Space

Daniel A. Keim, Stefan Wrobel, Peter Bak, 2013 .

Visual Analytics Focusing on Spatial Events

Daniel A. Keim, Stefan Wrobel, Peter Bak, 2013 .

Support Estimation in Frequent Itemset Mining by Locality Sensitive Hashing

Stefan Wrobel, Tamás Horváth, Annika Pick, 2019, LWDA.

Graph kernels

S. V. N. Vishwanathan, Nicol N. Schraudolph, Karsten M. Borgwardt, 2007 .

A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting

Susanne Hoche, Stefan Wrobel, S. Wrobel, 2003, ILP.

Towards feature selection for disk-based multirelational learners: a case study with a boosting algorithm.

S Hoche, S Wrobel, S. Wrobel, 2003 .

Scaling Boosting by Margin-Based Inclusionof Features and Relations

Susanne Hoche, Stefan Wrobel, S. Wrobel, 2002, ECML.

Adiabatic Quantum Computing for Max-Sum Diversification

Stefan Wrobel, Rafet Sifa, Christian Bauckhage, 2020, SDM.

Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties pdf

Asja Fischer, Stefan Wrobel, Joachim Sicking, 2020, ArXiv.

Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters

Stefan Wrobel, Michael Mock, Dennis Wegener, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Learning Minesweeper with Multirelational Learning

Stefan Wrobel, Lourdes Peña Castillo, S. Wrobel, 2003, IJCAI.

A Novel Regression Loss for Non-Parametric Uncertainty Optimization pdf

Asja Fischer, Stefan Wrobel, Joachim Sicking, 2021, ArXiv.

Context-Based Clustering of Image Search Results

Thomas Gärtner, Stefan Wrobel, Hongqi Wang, 2009, KI.

Big Data, Big Opportunities

Joachim Köhler, Sören Auer, Stefan Wrobel, 2015, Informatik-Spektrum.

Bias-free hypothesis evaluation in multirelational domains

Stefan Wrobel, Christine Kopp, S. Wrobel, 2005, MRDM '05.

On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms

Thomas Gärtner, Stefan Wrobel, Sebastian Bothe, 2010, KI.

One click mining: interactive local pattern discovery through implicit preference and performance learning

Stefan Wrobel, Bo Kang, Mario Boley, 2013, IDEA@KDD.

Co-Regularised Support Vector Regression

Thomas Gärtner, Stefan Wrobel, Martin Vogt, 2017, ECML/PKDD.

Relational Distance-Based Clustering

Mathias Kirsten, Stefan Wrobel, M. Kirsten, 1998, ILP.

Learning Syllogism with Euler Neural-Networks pdf

Tiansi Dong, Armin B. Cremers, Chengjiang Li, 2020, ArXiv.

Visual Analytics Focusing on Time

Daniel A. Keim, Stefan Wrobel, Peter Bak, 2013 .

Learning Bias

S. Vijayakumar, M. Lagoudakis, Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning and Data Mining.

Using Echo State Networks for Cryptography

Christian Bauckhage, Stefan Wrobel, Rajkumar Ramamurthy, 2017, ICANN.

Design Goals for Sloppy Modeling Systems

Stefan Wrobel, S. Wrobel, 1988, Int. J. Man Mach. Stud..

Spatial Data Mining in Practice: Principles and Case Studies

Simon Scheider, Stefan Wrobel, Michael May, 2010, Data Mining for Business Applications.

Linear Separability

S. Vijayakumar, M. Lagoudakis, Geoffrey I. Webb, 2010, Encyclopedia of Machine Learning.

Learning Weakly Convex Sets in Metric Spaces pdf

Stefan Wrobel, Tamás Horváth, Eike Stadtländer, 2021, ECML/PKDD.

Listing closed sets of strongly accessible set systems with applications to data

Stefan Wrobel, Tamás Horváth, Mario Boley, 2010, LWA.

Comparative Evaluation of Approaches to Propositionalization

Peter A. Flach, Nada Lavrac, Stefan Wrobel, 2003, ILP.