Christian Borgelt

154 papers A* 12B 31C 6Misc 3Journal 43Unranked 34

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Recommender System Based on Binary Matrix Representations for Cognitive Disorders. CoRR Raoul H. Kutil, Georg Zimmermann, Christian Borgelt
2025	J	`jnl`	Data Augmentation of Time-Series Data in Human Movement Biomechanics: A Scoping Review. CoRR Christina Halmich, Lucas Höschler, Christoph Schranz, Christian Borgelt
2025	J	`jnl`	Profile Generators: A Link between the Narrative and the Binary Matrix Representation. CoRR Raoul H. Kutil, Georg Zimmermann, Barbara Strasser-Kirchweger, Christian Borgelt
2025	—	`conf`	Variable-Size Genetic Network Programming for Portfolio Optimization with Trading Rules. EvoApplications (2) Fabian Köhnke, Christian Borgelt
2024	A*	`conf`	Convolutional Differentiable Logic Gate Networks. NeurIPS Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon
2024	J	`jnl`	Convolutional Differentiable Logic Gate Networks. CoRR Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon
2024	J	`jnl`	Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation. CoRR Felix Petersen, Christian Borgelt, Aashwin Ananda Mishra, Stefano Ermon
2024	A*	`conf`	Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms. NeurIPS Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
2024	J	`jnl`	Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms. CoRR Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
2024	A*	`conf`	TrAct: Making First-layer Pre-Activations Trainable. NeurIPS Felix Petersen, Christian Borgelt, Stefano Ermon
2024	J	`jnl`	TrAct: Making First-layer Pre-Activations Trainable. CoRR Felix Petersen, Christian Borgelt, Stefano Ermon
2024	A*	`conf`	Uncertainty Quantification via Stable Distribution Propagation. ICLR Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
2024	J	`jnl`	Uncertainty Quantification via Stable Distribution Propagation. CoRR Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
2023	A*	`conf`	ISAAC Newton: Input-based Approximate Curvature for Newton's Method. ICLR Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
2023	J	`jnl`	ISAAC Newton: Input-based Approximate Curvature for Newton's Method. CoRR Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
2023	B	`conf`	Trustworthy Medical Operational AI: Marrying AI and Regulatory Requirements. IEEE Big Data Fabian Berns, Georg Zimmermann, Christian Borgelt, Niclas Heilig, Jan Kirchhoff, Florian Stumpe
2022	—	`book`	Computational Intelligence - A Methodological Introduction, Third Edition Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher
2022	A*	`conf`	Deep Differentiable Logic Gate Networks. NeurIPS Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022	J	`jnl`	Deep Differentiable Logic Gate Networks. CoRR Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022	A*	`conf`	Differentiable Top-k Classification Learning. ICML Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen
2022	J	`jnl`	Differentiable Top-k Classification Learning. CoRR Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen
2022	J	`jnl`	Fast Multiplex Graph Association Rules for Link Prediction. CoRR Michele Coscia, Christian Borgelt, Michael Szell
2022	A*	`conf`	GenDR: A Generalized Differentiable Renderer. CVPR Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen
2022	J	`jnl`	GenDR: A Generalized Differentiable Renderer. CoRR Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen
2022	A*	`conf`	Monotonic Differentiable Sorting Networks. ICLR Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2022	J	`jnl`	Monotonic Differentiable Sorting Networks. CoRR Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021	A*	`conf`	Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. ICML Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021	J	`jnl`	Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. CoRR Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021	B	`conf`	Gradient Ascent for Best Response Regression. IDA Victoria Racher, Christian Borgelt
2021	A*	`conf`	Learning with Algorithmic Supervision via Continuous Relaxations. NeurIPS Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2021	J	`jnl`	Learning with Algorithmic Supervision via Continuous Relaxations. CoRR Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
2020	B	`conf`	Even Faster Exact k-Means Clustering. IDA Christian Borgelt
2020	—	`book`	Guide to Intelligent Data Science - How to Intelligently Make Use of Real Data, Second Edition Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo
2020	C	`conf`	Initializing k-means Clustering. DATA Christian Borgelt, Olha Yarikova
2020	—	`ch.`	Unsicheres, impräzises und unscharfes Wissen. Handbuch der Künstlichen Intelligenz Christian Borgelt, Christian Braune, Rudolf Kruse
2019	—	`conf`	Aggregation of Subclassifications: Methods, Tools and Experiments. SSCI Christoph Doell, Christian Borgelt
2019	J	`jnl`	AlgoNet: C CoRR Felix Petersen, Christian Borgelt, Oliver Deussen
2019	J	`jnl`	Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Comput. Intell. Mag. Inés Couso, Christian Borgelt, Eyke Hüllermeier, Rudolf Kruse
2019	—	`conf`	Wide and Deep Reinforcement Learning Extended for Grid-Based Action Games. ICAART (Revised Selected Papers) Juan M. Montoya, Christoph Doell, Christian Borgelt
2019	—	`conf`	Wide and Deep Reinforcement Learning for Grid-based Action Games. ICAART (2) Juan M. Montoya, Christian Borgelt
2019	C	`conf`	Widened Learning of Index Tracking Portfolios. ICMLA Iuliia Gavriushina, Oliver Sampson, Michael R. Berthold, Winfried Pohlmeier, Christian Borgelt
2018	B	`conf`	Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors. IDA Oliver R. Sampson, Christian Borgelt, Michael R. Berthold
2018	B	`conf`	Learned Feature Generation for Molecules. IDA Patrick Winter, Christian Borgelt, Michael R. Berthold
2018	J	`jnl`	Mining Frequent Synchronous Patterns based on Item Cover Similarity. Int. J. Comput. Intell. Syst. Salatiel Ezennaya-Gomez, Christian Borgelt
2018	—	`conf`	Residual Neural Networks to Distinguish Craving Smokers, Non-craving Smokers and Non-smokers by their EEG signals. SSCI Christoph Doell, Sarah E. Donohue, Christian Borgelt
2018	B	`conf`	Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers. IDA Christoph Doell, Sarah E. Donohue, Cedrik Pätz, Christian Borgelt
2016	—	`conf`	Agglomerative Fuzzy Clustering. SMPS Christian Borgelt, Rudolf Kruse
2016	—	`book`	Computational Intelligence - A Methodological Introduction, Second Edition Rudolf Kruse, Christian Borgelt, Christian Braune, Sanaz Mostaghim, Matthias Steinbrecher
2016	J	`jnl`	Memory-Efficient Analysis of Dense Functional Connectomes. Frontiers Neuroinformatics Kristian Loewe, Sarah E. Donohue, Mircea Ariel Schoenfeld, Rudolf Kruse, Christian Borgelt
2016	—	`ch.`	Significant Frequent Item Sets Via Pattern Spectrum Filtering. Fuzzy Technology Christian Borgelt, David Picado-Muiño
2015	—	`conf`	Automatic learning of synchrony in neuronal electrode recordings. IFSA-EUSFLAT David Picado-Muiño, Christian Borgelt
2015	J	`jnl`	Bedeutung von Zugehörigkeitsgraden in der Fuzzy-Technologie. Inform. Spektrum Christian Borgelt, Rudolf Kruse
2015	—	`ch.`	Handling Noise and Outliers in Fuzzy Clustering. Fifty Years of Fuzzy Logic and its Applications Christian Borgelt, Christian Braune, Marie-Jeanne Lesot, Rudolf Kruse
2015	—	`conf`	Handling Selective Participation in Neuron Assembly Detection. IJCCI (Selected Papers) Salatiel Ezennaya-Gomez, Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse
2015	—	`conf`	Mining Frequent Parallel Episodes with Selective Participation. IFSA-EUSFLAT Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse
2015	—	`conf`	Mining Frequent Synchronous Patterns with a Graded Notion of Synchrony. IFSA-EUSFLAT Salatiel Ezennaya-Gomez, Christian Borgelt
2015	—	`conf`	Mining Significant Frequent Patterns in Parallel Episodes with a Graded Notion of Synchrony and Selective Participation. IJCCI (NCTA) Salatiel Ezennaya-Gomez, Christian Borgelt
2015	J	`jnl`	Test Statistics for the Identification of Assembly Neurons in Parallel Spike Trains. Comput. Intell. Neurosci. David Picado-Muiño, Christian Borgelt
2014	J	`jnl`	Frequent item set mining for sequential data: Synchrony in neuronal spike trains. Intell. Data Anal. David Picado-Muiño, Christian Borgelt
2014	J	`jnl`	Fuzzy characterization of spike synchrony in parallel spike trains. Soft Comput. David Picado-Muiño, Iván Castro León, Christian Borgelt
2014	B	`conf`	Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD. IDA Christian Borgelt, David Picado-Muiño
2013	B	`conf`	Behavioral Clustering for Point Processes. IDA Christian Braune, Christian Borgelt, Rudolf Kruse
2013	—	`book`	Computational Intelligence - A Methodological Introduction. Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held
2013	B	`conf`	Finding Frequent Patterns in Parallel Point Processes. IDA Christian Borgelt, David Picado-Muiño
2013	J	`jnl`	Finding neural assemblies with frequent item set mining. Frontiers Neuroinformatics David Picado-Muiño, Christian Borgelt, Denise Berger, George L. Gerstein, Sonja Grün
2013	—	`conf`	Incremental Frequent Route Based Trajectory Prediction. CTS@SIGSPATIAL Anja Bachmann, Christian Borgelt, Gyözö Gidófalvi
2013	—	`conf`	Prototype Construction for Clustering of Point Processes based on Imprecise Synchrony. EUSFLAT Conf. Christian Borgelt, Christian Braune
2013	J	`jnl`	Statistical evaluation of synchronous spike patterns extracted by frequent item set mining. Frontiers Comput. Neurosci. Emiliano Torre, David Picado-Muiño, Michael Denker, Christian Borgelt, Sonja Grün
2013	—	`ch.`	Unsicheres und vages Wissen. Handbuch der Künstlichen Intelligenz Christian Borgelt, Christian Braune, Heiko Timm, Rudolf Kruse
2012	B	`conf`	Assembly Detection in Continuous Neural Spike Train Data. IDA Christian Braune, Christian Borgelt, Sonja Grün
2012	—	`ch.`	Cover Similarity Based Item Set Mining. Bisociative Knowledge Discovery Marc Segond, Christian Borgelt
2012	J	`jnl`	Frequent item set mining. WIREs Data Mining Knowl. Discov. Christian Borgelt
2012	B	`conf`	Fuzzy Frequent Pattern Mining in Spike Trains. IDA David Picado-Muiño, Iván Castro León, Christian Borgelt
2012	—	`ch.`	Network Creation: Overview. Bisociative Knowledge Discovery Christian Borgelt
2012	J	`jnl`	New algorithms for finding approximate frequent item sets. Soft Comput. Christian Borgelt, Christian Braune, Tobias Kötter, Sonja Grün
2012	—	`ch.`	Selecting the Links in BisoNets Generated from Document Collections. Bisociative Knowledge Discovery Marc Segond, Christian Borgelt
2012	—	`conf`	Soft Pattern Mining in Neuroscience. SMPS Christian Borgelt
2011	B	`conf`	Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing. IDA Christian Braune, Christian Borgelt, Sonja Grün
2011	B	`conf`	Finding closed frequent item sets by intersecting transactions. EDBT Christian Borgelt, Xiaoyuan Yang, Rubén Nogales-Cadenas, Pedro Carmona-Saez, Alberto D. Pascual-Montano
2011	—	`conf`	Frequent route based continuous moving object location- and density prediction on road networks. GIS Gyözö Gidófalvi, Manohar Kaul, Christian Borgelt, Torben Bach Pedersen
2011	—	`conf`	Item Set Mining Based on Cover Similarity. PAKDD (2) Marc Segond, Christian Borgelt
2011	B	`conf`	Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions. IDA Christian Borgelt, Tobias Kötter
2010	J	`jnl`	A conditional independence algorithm for learning undirected graphical models. J. Comput. Syst. Sci. Christian Borgelt
2010	—	`ed.`	Combining Soft Computing and Statistical Methods in Data Analysis, SMPS 2010, Oviedo, Spain, September 29 - October 1, 2010 SMPS Christian Borgelt, Gil González-Rodríguez, Wolfgang Trutschnig, María Asunción Lubiano, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz
2010	J	`jnl`	Complexity distribution as a measure for assembly size and temporal precision. Neural Networks Sebastien Louis, Christian Borgelt, Sonja Grün
2010	J	`jnl`	Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains. Comput. Intell. Neurosci. Denise Berger, Christian Borgelt, Sebastien Louis, Abigail Morrison, Sonja Grün
2010	—	`book`	Guide to Intelligent Data Analysis - How to Intelligently Make Sense of Real Data. Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn
2010	B	`conf`	Selecting the Links in BisoNets Generated from Document Collections. IDA Marc Segond, Christian Borgelt
2010	—	`ch.`	Simple Algorithms for Frequent Item Set Mining. Advances in Machine Learning II Christian Borgelt
2009	—	`ch.`	(Approximate) Frequent Item Set Mining Made Simple with a Split and Merge Algorithm. Scalable Fuzzy Algorithms for Data Management and Analysis Christian Borgelt, Xiaomeng Wang
2009	J	`jnl`	Accelerating fuzzy clustering. Inf. Sci. Christian Borgelt
2009	—	`ch.`	Full Perfect Extension Pruning for Frequent Subgraph Mining. Mining Complex Data Christian Borgelt, Thorsten Meinl
2009	Misc	`conf`	Identification of neurons participating in cell assemblies. ICASSP Sonja Grün, Denise Berger, Christian Borgelt
2009	—	`conf`	SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining. IFSA/EUSFLAT Conf. Christian Borgelt, Xiaomeng Wang
2008	B	`conf`	Feature weighting and feature selection in fuzzy clustering. FUZZ-IEEE Christian Borgelt
2008	J	`jnl`	Fixed Parameter Algorithms for the Minimum Weight Triangulation Problem. Int. J. Comput. Geom. Appl. Magdalene G. Borgelt, Christian Borgelt, Christos Levcopoulos
2008	—	`conf`	Fuzzy Subspace Clustering. GfKl Christian Borgelt
2007	B	`conf`	FrIDA - A Free Intelligent Data Analysis Toolbox. FUZZ-IEEE Christian Borgelt, Gil Gonzáles-Rodríguez
2007	—	`conf`	Graph Mining: Repository vs. Canonical Form. GfKl Christian Borgelt, Mathias Fiedler
2007	B	`conf`	Learning Undirected Possibilistic Networks with Conditional Independence Tests. FUZZ-IEEE Christian Borgelt
2007	B	`conf`	Prototype-less Fuzzy Clustering. FUZZ-IEEE Christian Borgelt
2007	J	`jnl`	Resampling for Fuzzy Clustering. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Christian Borgelt
2007	—	`conf`	Subgraph Support in a Single Large Graph. ICDM Workshops Mathias Fiedler, Christian Borgelt
2007	—	`conf`	Support Computation for Mining Frequent Subgraphs in a Single Graph. MLG Mathias Fiedler, Christian Borgelt
2006	—	`conf`	Canonical Forms for Frequent Graph Mining. GfKl Christian Borgelt
2006	B	`conf`	Finding the Number of Fuzzy Clusters by Resampling. FUZZ-IEEE Christian Borgelt, Rudolf Kruse
2006	—	`ed.`	From Data and Information Analysis to Knowledge Engineering, Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005 GfKl Myra Spiliopoulou, Rudolf Kruse, Christian Borgelt, Andreas Nürnberger, Wolfgang Gaul
2006	—	`conf`	Full Perfect Extension Pruning for Frequent Graph Mining. ICDM Workshops Christian Borgelt, Thorsten Meinl
2005	B	`conf`	Effects of Irrelevant Attributes in Fuzzy Clustering. FUZZ-IEEE Christian Döring, Christian Borgelt, Rudolf Kruse
2005	B	`conf`	Fuzzy Learning Vector Quantization with Size and Shape Parameters. FUZZ-IEEE Christian Borgelt, Andreas Nürnberger, Rudolf Kruse
2005	C	`conf`	Fuzzy frequent pattern discovering based on recursive elimination. ICMLA Xiaomeng Wang, Christian Borgelt, Rudolf Kruse
2005	B	`conf`	Minimum Weight Triangulation by Cutting Out Triangles. ISAAC Magdalene Grantson, Christian Borgelt, Christos Levcopoulos
2005	C	`conf`	Molecular Fragment Mining for Drug Discovery. ECSQARU Christian Borgelt, Michael R. Berthold, David E. Patterson
2005	C	`conf`	Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits. ECSQARU Christian Borgelt, Rudolf Kruse
2004	—	`conf`	Advanced pruning strategies to speed up mining closed molecular fragments. SMC (5) Christian Borgelt, Thorsten Meinl, Michael R. Berthold
2004	J	`jnl`	An extension to possibilistic fuzzy cluster analysis. Fuzzy Sets Syst. Heiko Timm, Christian Borgelt, Christian Döring, Rudolf Kruse
2004	—	`conf`	Experiments in Term Weighting and Keyword Extraction in Document Clustering. LWA Christian Borgelt, Andreas Nürnberger
2004	B	`conf`	Information measures in fuzzy decision trees. FUZZ-IEEE Xiaomeng Wang, Christian Borgelt
2004	J	`jnl`	Large scale mining of molecular fragments with wildcards. Intell. Data Anal. Heiko Hofer, Christian Borgelt, Michael R. Berthold
2004	—	`conf`	Learning vector quantization: cluster size and cluster number. ISCAS (5) Christian Borgelt, Daniela Girimonte, Giuseppe Acciani
2004	—	`conf`	Modeling and diagnosis of analog circuits with probabilistic graphical models. ISCAS (4) Christian Borgelt, Daniela Girimonte, Giuseppe Acciani
2004	J	`jnl`	Probabilistische grafische Modellle und ihre Anwendung in der Automobilindustrie. Datenbank-Spektrum Christian Borgelt, Rudolf Kruse
2004	—	`conf`	Recursion Pruning for the Apriori Algorithm. FIMI Christian Borgelt
2004	—	`conf`	Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering. PKDD Christian Borgelt, Rudolf Kruse
2003	B	`ed.`	Advances in Intelligent Data Analysis V, 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings IDA Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt
2003	J	`jnl`	Information mining. Int. J. Approx. Reason. Rudolf Kruse, Christian Borgelt
2003	B	`conf`	Large Scale Mining of Molecular Fragments with Wildcards. IDA Heiko Hofer, Christian Borgelt, Michael R. Berthold
2003	J	`jnl`	Learning possibilistic graphical models from data. IEEE Trans. Fuzzy Syst. Christian Borgelt, Rudolf Kruse
2003	—	`ch.`	Local Structure Learning in Graphical Models. Planning Based on Decision Theory Christian Borgelt, Rudolf Kruse
2003	—	`book`	Neuro-Fuzzy-Systeme Neuro-Fuzzy-Systeme Christian Borgelt, Frank Klawonn, Rudolf Kruse, Detlef D. Nauck
2003	Misc	`conf`	On Identifying Tree-Structured Perfect Maps. KI Christian Borgelt
2003	J	`jnl`	Operations and evaluation measures for learning possibilistic graphical models. Artif. Intell. Christian Borgelt, Rudolf Kruse
2003	B	`conf`	Speeding up fuzzy clustering with neural network techniques. FUZZ-IEEE Christian Borgelt, Rudolf Kruse
2003	—	`ch.`	Unsicheres und vages Wissens. Handbuch der Künstlichen Intelligenz Christian Borgelt, Heiko Timm, Rudolf Kruse
2002	B	`conf`	Data Mining with Graphical Models. ALT Rudolf Kruse, Christian Borgelt
2002	B	`conf`	Data Mining with Graphical Models. Discovery Science Rudolf Kruse, Christian Borgelt
2002	—	`book`	Graphical models - methods for data analysis and mining. Christian Borgelt, Rudolf Kruse
2002	—	`conf`	Induction of Association Rules: Apriori Implementation. COMPSTAT Christian Borgelt, Rudolf Kruse
2002	A*	`conf`	Mining Molecular Fragments: Finding Relevant Substructures of Molecules. ICDM Christian Borgelt, Michael R. Berthold
2001	C	`conf`	An Empirical Investigation of the K2 Metric. ECSQARU Christian Borgelt, Rudolf Kruse
2001	B	`conf`	Learning Graphical Models With Hypertree Structure Using a Simulated Annealing Approach. FUZZ-IEEE Christian Borgelt, Rudolf Kruse
2001	J	`jnl`	Unsicherheit und Vagheit - Serviceteil. Künstliche Intell. Christian Borgelt, Rudolf Kruse
2001	J	`jnl`	Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen. Künstliche Intell. Christian Borgelt, Rudolf Kruse
2000	—	`conf`	Advanced Fuzzy Clustering and Decision Tree Plug-Ins for Data Engine Intelligent Systems and Soft Computing Christian Borgelt, Heiko Timm
2000	—	`ch.`	Data mining with graphical models. Ausgezeichnete Informatikdissertationen Christian Borgelt
2000	—	`—`	Data mining with graphical models. Christian Borgelt
2000	—	`ch.`	Possibilistic Graphical Models. Computational Intelligence in Data Mining Christian Borgelt, Jörg Gebhardt, Rudolf Kruse
2000	—	`conf`	Problems and Prospects in Fuzzy Data Analysis. Intelligent Systems and Soft Computing Rudolf Kruse, Christian Borgelt, Detlef D. Nauck
2000	B	`conf`	Using fuzzy clustering to improve naive Bayes classifiers and probabilistic networks. FUZZ-IEEE Christian Borgelt, Heiko Timm, Rudolf Kruse
1999	—	`conf`	A Critique of Inductive Causation. ESCQARU Christian Borgelt, Rudolf Kruse
1999	—	`ch.`	Fuzzy Methoden in der Datenanalyse. Fuzzy Theorie und Stochastik Christian Borgelt, Jörg Gebhardt, Rudolf Kruse
1998	Misc	`conf`	Data Mining with Graphical Models. KI Rudolf Kruse, Christian Borgelt
1998	J	`jnl`	Lernen probabilistischer und possibilistischer Netze aus Daten: Theorie und Anwendung. Künstliche Intell. Christian Borgelt, Rudolf Kruse, Guido Lindner
1997	—	`conf`	Some Experimental Results on Learning Probabilistic and Possibilistic Networks with Different Evaluation Measures. ECSQARU-FAPR Christian Borgelt, Rudolf Kruse