Christian Borgelt

Affiliations:
  • Otto von Guericke University of Magdeburg, Germany


According to our database1, Christian Borgelt authored at least 126 papers between 1997 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2022
Computational Intelligence - A Methodological Introduction, Third Edition
Texts in Computer Science, Springer, ISBN: 978-3-030-42226-4, 2022

Fast Multiplex Graph Association Rules for Link Prediction.
CoRR, 2022

Deep Differentiable Logic Gate Networks.
CoRR, 2022

Differentiable Top-k Classification Learning.
Proceedings of the International Conference on Machine Learning, 2022

Monotonic Differentiable Sorting Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

GenDR: A Generalized Differentiable Renderer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning with Algorithmic Supervision via Continuous Relaxations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gradient Ascent for Best Response Regression.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Guide to Intelligent Data Science - How to Intelligently Make Use of Real Data, Second Edition
Texts in Computer Science, Springer, ISBN: 978-3-030-45573-6, 2020

Even Faster Exact k-Means Clustering.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Initializing k-means Clustering.
Proceedings of the 9th International Conference on Data Science, 2020

Unsicheres, impräzises und unscharfes Wissen.
Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

2019
AlgoNet: C<sup>∞</sup> Smooth Algorithmic Neural Networks.
CoRR, 2019

Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning.
IEEE Comput. Intell. Mag., 2019

Aggregation of Subclassifications: Methods, Tools and Experiments.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Widened Learning of Index Tracking Portfolios.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Wide and Deep Reinforcement Learning Extended for Grid-Based Action Games.
Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019

Wide and Deep Reinforcement Learning for Grid-based Action Games.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

2018
Mining Frequent Synchronous Patterns based on Item Cover Similarity.
Int. J. Comput. Intell. Syst., 2018

Residual Neural Networks to Distinguish Craving Smokers, Non-craving Smokers and Non-smokers by their EEG signals.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Learned Feature Generation for Molecules.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

2016
Computational Intelligence - A Methodological Introduction, Second Edition
Texts in Computer Science, Springer, ISBN: 978-1-4471-7296-3, 2016

Significant Frequent Item Sets Via Pattern Spectrum Filtering.
Proceedings of the Fuzzy Technology - Present Applications and Future Challenges, 2016

Memory-Efficient Analysis of Dense Functional Connectomes.
Frontiers Neuroinformatics, 2016

Agglomerative Fuzzy Clustering.
Proceedings of the Soft Methods for Data Science, 2016

2015
Handling Noise and Outliers in Fuzzy Clustering.
Proceedings of the Fifty Years of Fuzzy Logic and its Applications, 2015

Bedeutung von Zugehörigkeitsgraden in der Fuzzy-Technologie.
Inform. Spektrum, 2015

Test Statistics for the Identification of Assembly Neurons in Parallel Spike Trains.
Comput. Intell. Neurosci., 2015

Handling Selective Participation in Neuron Assembly Detection.
Proceedings of the Computational Intelligence - International Joint Conference, 2015

Mining Significant Frequent Patterns in Parallel Episodes with a Graded Notion of Synchrony and Selective Participation.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Automatic learning of synchrony in neuronal electrode recordings.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Mining Frequent Synchronous Patterns with a Graded Notion of Synchrony.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Mining Frequent Parallel Episodes with Selective Participation.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014
Fuzzy characterization of spike synchrony in parallel spike trains.
Soft Comput., 2014

Frequent item set mining for sequential data: Synchrony in neuronal spike trains.
Intell. Data Anal., 2014

Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2013
Finding neural assemblies with frequent item set mining.
Frontiers Neuroinformatics, 2013

Statistical evaluation of synchronous spike patterns extracted by frequent item set mining.
Frontiers Comput. Neurosci., 2013

Behavioral Clustering for Point Processes.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Finding Frequent Patterns in Parallel Point Processes.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Incremental Frequent Route Based Trajectory Prediction.
Proceedings of the CTS 2013, 2013

Prototype Construction for Clustering of Point Processes based on Imprecise Synchrony.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

Unsicheres und vages Wissen.
Proceedings of the Handbuch der Künstlichen Intelligenz, 5. Auflage, 2013

Computational Intelligence - A Methodological Introduction.
Texts in Computer Science, Springer, ISBN: 978-1-4471-5013-8, 2013

2012
Cover Similarity Based Item Set Mining.
Proceedings of the Bisociative Knowledge Discovery, 2012

Selecting the Links in BisoNets Generated from Document Collections.
Proceedings of the Bisociative Knowledge Discovery, 2012

Network Creation: Overview.
Proceedings of the Bisociative Knowledge Discovery, 2012

Frequent item set mining.
WIREs Data Mining Knowl. Discov., 2012

New algorithms for finding approximate frequent item sets.
Soft Comput., 2012

Soft Pattern Mining in Neuroscience.
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Fuzzy Frequent Pattern Mining in Spike Trains.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Assembly Detection in Continuous Neural Spike Train Data.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

2011
Item Set Mining Based on Cover Similarity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Frequent route based continuous moving object location- and density prediction on road networks.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

Finding closed frequent item sets by intersecting transactions.
Proceedings of the EDBT 2011, 2011

2010
Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data.
Texts in Computer Science 42, Springer, ISBN: 978-1-84882-260-3, 2010

Simple Algorithms for Frequent Item Set Mining.
Proceedings of the Advances in Machine Learning II, 2010

Complexity distribution as a measure for assembly size and temporal precision.
Neural Networks, 2010

A conditional independence algorithm for learning undirected graphical models.
J. Comput. Syst. Sci., 2010

Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains.
Comput. Intell. Neurosci., 2010

Selecting the Links in BisoNets Generated from Document Collections.
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

2009
Full Perfect Extension Pruning for Frequent Subgraph Mining.
Proceedings of the Mining Complex Data, 2009

Accelerating fuzzy clustering.
Inf. Sci., 2009

Identification of neurons participating in cell assemblies.
Proceedings of the IEEE International Conference on Acoustics, 2009

SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

(Approximate) Frequent Item Set Mining Made Simple with a Split and Merge Algorithm.
Proceedings of the Scalable Fuzzy Algorithms for Data Management and Analysis, 2009

2008
Fixed Parameter Algorithms for the Minimum Weight Triangulation Problem.
Int. J. Comput. Geom. Appl., 2008

Fuzzy Subspace Clustering.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Feature weighting and feature selection in fuzzy clustering.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Resampling for Fuzzy Clustering.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007

Support Computation for Mining Frequent Subgraphs in a Single Graph.
Proceedings of the Mining and Learning with Graphs, 2007

Subgraph Support in a Single Large Graph.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Graph Mining: Repository vs. Canonical Form.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

FrIDA - A Free Intelligent Data Analysis Toolbox.
Proceedings of the FUZZ-IEEE 2007, 2007

Learning Undirected Possibilistic Networks with Conditional Independence Tests.
Proceedings of the FUZZ-IEEE 2007, 2007

Prototype-less Fuzzy Clustering.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Full Perfect Extension Pruning for Frequent Graph Mining.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Canonical Forms for Frequent Graph Mining.
Proceedings of the Advances in Data Analysis, 2006

Finding the Number of Fuzzy Clusters by Resampling.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Minimum Weight Triangulation by Cutting Out Triangles.
Proceedings of the Algorithms and Computation, 16th International Symposium, 2005

Fuzzy frequent pattern discovering based on recursive elimination.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Effects of Irrelevant Attributes in Fuzzy Clustering.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Fuzzy Learning Vector Quantization with Size and Shape Parameters.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Molecular Fragment Mining for Drug Discovery.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
Large scale mining of molecular fragments with wildcards.
Intell. Data Anal., 2004

An extension to possibilistic fuzzy cluster analysis.
Fuzzy Sets Syst., 2004

Probabilistische grafische Modellle und ihre Anwendung in der Automobilindustrie.
Datenbank-Spektrum, 2004

Advanced pruning strategies to speed up mining closed molecular fragments.
Proceedings of the IEEE International Conference on Systems, 2004

Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Experiments in Term Weighting and Keyword Extraction in Document Clustering.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Modeling and diagnosis of analog circuits with probabilistic graphical models.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Learning vector quantization: cluster size and cluster number.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Information measures in fuzzy decision trees.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Recursion Pruning for the Apriori Algorithm.
Proceedings of the FIMI '04, 2004

2003
Learning possibilistic graphical models from data.
IEEE Trans. Fuzzy Syst., 2003

Information mining.
Int. J. Approx. Reason., 2003

Operations and evaluation measures for learning possibilistic graphical models.
Artif. Intell., 2003

On Identifying Tree-Structured Perfect Maps.
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

Speeding up fuzzy clustering with neural network techniques.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

Local Structure Learning in Graphical Models.
Proceedings of the Planning Based on Decision Theory, 2003

Unsicheres und vages Wissens.
Proceedings of the Handbuch der Künstlichen Intelligenz, 4. Auflage, 2003

Neuro-Fuzzy-Systeme
Vieweg, ISBN: 978-3-528-25265-6, 2003

2002
Mining Molecular Fragments: Finding Relevant Substructures of Molecules.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Data Mining with Graphical Models.
Proceedings of the Discovery Science, 5th International Conference, 2002

Induction of Association Rules: Apriori Implementation.
Proceedings of the COMPSTAT 2002, 2002

Graphical models - methods for data analysis and mining.
Wiley, ISBN: 978-0-470-84337-6, 2002

2001
Unsicherheit und Vagheit - Serviceteil.
Künstliche Intell., 2001

Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen.
Künstliche Intell., 2001

Learning Graphical Models With Hypertree Structure Using a Simulated Annealing Approach.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

An Empirical Investigation of the K2 Metric.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000
Data mining with graphical models.
PhD thesis, 2000

Problems and Prospects in Fuzzy Data Analysis.
Proceedings of the Intelligent Systems and Soft Computing: Prospects, 2000

Advanced Fuzzy Clustering and Decision Tree Plug-Ins for Data Engine<sup>TM</sup>.
Proceedings of the Intelligent Systems and Soft Computing: Prospects, 2000

Data mining with graphical models.
Proceedings of the Ausgezeichnete Informatikdissertationen 2000, 2000

Using fuzzy clustering to improve naive Bayes classifiers and probabilistic networks.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

Possibilistic Graphical Models.
Proceedings of the Computational Intelligence in Data Mining, 2000

1999
A Critique of Inductive Causation.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999

Fuzzy Methoden in der Datenanalyse.
Proceedings of the Fuzzy Theorie und Stochastik, 1999

1998
Lernen probabilistischer und possibilistischer Netze aus Daten: Theorie und Anwendung.
Künstliche Intell., 1998

1997
Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures.
Proceedings of the Qualitative and Quantitative Practical Reasoning, 1997


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