Christian Borgelt

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 34

Top Venues

CoRR

IDA

IFSA-EUSFLAT

ICLR

Otto-von-Guericke University Magdeburg, Germany (PHD)

Education History

Otto-von-Guericke University Magdeburg, Germany

PHD

Publications

Felix Petersen, Aashwin Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
Uncertainty Quantification via Stable Distribution Propagation. CoRR (2024)
Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
Uncertainty Quantification via Stable Distribution Propagation. ICLR (2024)
Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
ISAAC Newton: Input-based Approximate Curvature for Newton's Method. ICLR (2023)
Fabian Berns, Georg Zimmermann, Christian Borgelt, Niclas Heilig, Jan Kirchhoff, Florian Stumpe
Trustworthy Medical Operational AI: Marrying AI and Regulatory Requirements. BigData (2023)
Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen
ISAAC Newton: Input-based Approximate Curvature for Newton's Method. CoRR (2023)
Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen
Differentiable Top-k Classification Learning. CoRR (2022)
Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen
GenDR: A Generalized Differentiable Renderer. CoRR (2022)
Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen
GenDR: A Generalized Differentiable Renderer. CVPR (2022)
Michele Coscia, Christian Borgelt, Michael Szell
Fast Multiplex Graph Association Rules for Link Prediction. CoRR (2022)
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Deep Differentiable Logic Gate Networks. NeurIPS (2022)
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Monotonic Differentiable Sorting Networks. CoRR (2022)
Felix Petersen, Hilde Kuehne, Christian Borgelt, Oliver Deussen
Differentiable Top-k Classification Learning. ICML (2022)
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Monotonic Differentiable Sorting Networks. ICLR (2022)
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Deep Differentiable Logic Gate Networks. CoRR (2022)
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Learning with Algorithmic Supervision via Continuous Relaxations. CoRR (2021)
Victoria Racher, Christian Borgelt
Gradient Ascent for Best Response Regression. IDA (2021)
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. ICML (2021)
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision. CoRR (2021)
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
Learning with Algorithmic Supervision via Continuous Relaxations. NeurIPS (2021)
Christian Borgelt
Even Faster Exact k-Means Clustering. IDA (2020)
Christian Borgelt, Olha Yarikova
Initializing k-means Clustering. DATA (2020)
Juan M. Montoya, Christoph Doell, Christian Borgelt
Wide and Deep Reinforcement Learning Extended for Grid-Based Action Games. ICAART (Revised Selected Papers) (2019)
Christoph Doell, Christian Borgelt
Aggregation of Subclassifications: Methods, Tools and Experiments. SSCI (2019)
Iuliia Gavriushina, Oliver Sampson, Michael R. Berthold, Winfried Pohlmeier, Christian Borgelt
Widened Learning of Index Tracking Portfolios. ICMLA (2019)
Felix Petersen, Christian Borgelt, Oliver Deussen
Smooth Algorithmic Neural Networks. CoRR (2019)
Juan M. Montoya, Christian Borgelt
Wide and Deep Reinforcement Learning for Grid-based Action Games. ICAART (2) (2019)
Inés Couso, Christian Borgelt, Eyke Hüllermeier, Rudolf Kruse
Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Comput. Intell. Mag. 14 (1) (2019)
Patrick Winter, Christian Borgelt, Michael R. Berthold
Learned Feature Generation for Molecules. IDA (2018)
Christoph Doell, Sarah E. Donohue, Cedrik Pätz, Christian Borgelt
Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers. IDA (2018)
Salatiel Ezennaya-Gomez, Christian Borgelt
Mining Frequent Synchronous Patterns based on Item Cover Similarity. Int. J. Comput. Intell. Syst. 11 (1) (2018)
Oliver R. Sampson, Christian Borgelt, Michael R. Berthold
Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors. IDA (2018)
Christoph Doell, Sarah E. Donohue, Christian Borgelt
Residual Neural Networks to Distinguish Craving Smokers, Non-craving Smokers and Non-smokers by their EEG signals. SSCI (2018)
Christian Borgelt, Rudolf Kruse
Agglomerative Fuzzy Clustering. SMPS (2016)
Kristian Loewe, Sarah E. Donohue, Mircea Ariel Schoenfeld, Rudolf Kruse, Christian Borgelt
Memory-Efficient Analysis of Dense Functional Connectomes. Frontiers Neuroinformatics 10 (2016)
Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse
Mining Frequent Parallel Episodes with Selective Participation. IFSA-EUSFLAT (2015)
Salatiel Ezennaya-Gomez, Christian Borgelt, Christian Braune, Kristian Loewe, Rudolf Kruse
Handling Selective Participation in Neuron Assembly Detection. IJCCI (Selected Papers) (2015)
David Picado-Muiño, Christian Borgelt
Test Statistics for the Identification of Assembly Neurons in Parallel Spike Trains. Comput. Intell. Neurosci. 2015 (2015)
Salatiel Ezennaya-Gomez, Christian Borgelt
Mining Frequent Synchronous Patterns with a Graded Notion of Synchrony. IFSA-EUSFLAT (2015)
Christian Borgelt, Rudolf Kruse
Bedeutung von Zugehörigkeitsgraden in der Fuzzy-Technologie. Inform. Spektrum 38 (6) (2015)
Salatiel Ezennaya-Gomez, Christian Borgelt
Mining Significant Frequent Patterns in Parallel Episodes with a Graded Notion of Synchrony and Selective Participation. IJCCI (NCTA) (2015)
David Picado-Muiño, Christian Borgelt
Automatic learning of synchrony in neuronal electrode recordings. IFSA-EUSFLAT (2015)
Christian Borgelt, David Picado-Muiño
Simple Pattern Spectrum Estimation for Fast Pattern Filtering with CoCoNAD. IDA (2014)
David Picado-Muiño, Iván Castro León, Christian Borgelt
Fuzzy characterization of spike synchrony in parallel spike trains. Soft Comput. 18 (1) (2014)
David Picado-Muiño, Christian Borgelt
Frequent item set mining for sequential data: Synchrony in neuronal spike trains. Intell. Data Anal. 18 (6) (2014)
Anja Bachmann, Christian Borgelt, Gyözö Gidófalvi
Incremental Frequent Route Based Trajectory Prediction. CTS@SIGSPATIAL (2013)
Christian Borgelt, David Picado-Muiño
Finding Frequent Patterns in Parallel Point Processes. IDA (2013)
Christian Braune, Christian Borgelt, Rudolf Kruse
Behavioral Clustering for Point Processes. IDA (2013)
David Picado-Muiño, Christian Borgelt, Denise Berger, George L. Gerstein, Sonja Grün
Finding neural assemblies with frequent item set mining. Frontiers Neuroinformatics 7 (2013)
Christian Borgelt, Christian Braune
Prototype Construction for Clustering of Point Processes based on Imprecise Synchrony. EUSFLAT Conf. (2013)
Emiliano Torre, David Picado-Muiño, Michael Denker, Christian Borgelt, Sonja Grün
Statistical evaluation of synchronous spike patterns extracted by frequent item set mining. Frontiers Comput. Neurosci. 7 (2013)
Christian Borgelt
Soft Pattern Mining in Neuroscience. SMPS (2012)
Christian Borgelt, Christian Braune, Tobias Kötter, Sonja Grün
New algorithms for finding approximate frequent item sets. Soft Comput. 16 (5) (2012)
David Picado-Muiño, Iván Castro León, Christian Borgelt
Fuzzy Frequent Pattern Mining in Spike Trains. IDA (2012)
Christian Braune, Christian Borgelt, Sonja Grün
Assembly Detection in Continuous Neural Spike Train Data. IDA (2012)
Christian Borgelt
Frequent item set mining. WIREs Data Mining Knowl. Discov. 2 (6) (2012)
Christian Braune, Christian Borgelt, Sonja Grün
Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing. IDA (2011)
Christian Borgelt, Xiaoyuan Yang, Rubén Nogales-Cadenas, Pedro Carmona-Saez, Alberto D. Pascual-Montano
Finding closed frequent item sets by intersecting transactions. EDBT (2011)
Gyözö Gidófalvi, Manohar Kaul, Christian Borgelt, Torben Bach Pedersen
Frequent route based continuous moving object location- and density prediction on road networks. GIS (2011)
Christian Borgelt, Tobias Kötter
Mining Fault-Tolerant Item Sets Using Subset Size Occurrence Distributions. IDA (2011)
Marc Segond, Christian Borgelt
Item Set Mining Based on Cover Similarity. PAKDD (2) (2011)
Sebastien Louis, Christian Borgelt, Sonja Grün
Complexity distribution as a measure for assembly size and temporal precision. Neural Networks 23 (6) (2010)
Christian Borgelt
A conditional independence algorithm for learning undirected graphical models. J. Comput. Syst. Sci. 76 (1) (2010)
Denise Berger, Christian Borgelt, Sebastien Louis, Abigail Morrison, Sonja Grün
Efficient Identification of Assembly Neurons within Massively Parallel Spike Trains. Comput. Intell. Neurosci. 2010 (2010)
Marc Segond, Christian Borgelt
Selecting the Links in BisoNets Generated from Document Collections. IDA (2010)
Christian Borgelt, Xiaomeng Wang
SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining. IFSA/EUSFLAT Conf. (2009)
Christian Borgelt
Accelerating fuzzy clustering. Inf. Sci. 179 (23) (2009)
Sonja Grün, Denise Berger, Christian Borgelt
Identification of neurons participating in cell assemblies. ICASSP (2009)
Christian Borgelt
Feature weighting and feature selection in fuzzy clustering. FUZZ-IEEE (2008)
Magdalene G. Borgelt, Christian Borgelt, Christos Levcopoulos
Fixed Parameter Algorithms for the Minimum Weight Triangulation Problem. Int. J. Comput. Geom. Appl. 18 (3) (2008)
Christian Borgelt
Fuzzy Subspace Clustering. GfKl (2008)
Christian Borgelt
Prototype-less Fuzzy Clustering. FUZZ-IEEE (2007)
Mathias Fiedler, Christian Borgelt
Subgraph Support in a Single Large Graph. ICDM Workshops (2007)
Christian Borgelt, Gil Gonzáles-Rodríguez
FrIDA - A Free Intelligent Data Analysis Toolbox. FUZZ-IEEE (2007)
Mathias Fiedler, Christian Borgelt
Support Computation for Mining Frequent Subgraphs in a Single Graph. MLG (2007)
Christian Borgelt, Mathias Fiedler
Graph Mining: Repository vs. Canonical Form. GfKl (2007)
Christian Borgelt
Learning Undirected Possibilistic Networks with Conditional Independence Tests. FUZZ-IEEE (2007)
Christian Borgelt
Resampling for Fuzzy Clustering. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15 (5) (2007)
Christian Borgelt, Rudolf Kruse
Finding the Number of Fuzzy Clusters by Resampling. FUZZ-IEEE (2006)
Christian Borgelt, Thorsten Meinl
Full Perfect Extension Pruning for Frequent Graph Mining. ICDM Workshops (2006)
Christian Borgelt
Canonical Forms for Frequent Graph Mining. GfKl (2006)
Christian Borgelt, Andreas Nürnberger, Rudolf Kruse
Fuzzy Learning Vector Quantization with Size and Shape Parameters. FUZZ-IEEE (2005)
Christian Borgelt, Rudolf Kruse
Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits. ECSQARU (2005)
Christian Döring, Christian Borgelt, Rudolf Kruse
Effects of Irrelevant Attributes in Fuzzy Clustering. FUZZ-IEEE (2005)
Magdalene Grantson, Christian Borgelt, Christos Levcopoulos
Minimum Weight Triangulation by Cutting Out Triangles. ISAAC (2005)
Xiaomeng Wang, Christian Borgelt, Rudolf Kruse
Fuzzy frequent pattern discovering based on recursive elimination. ICMLA (2005)
Christian Borgelt, Michael R. Berthold, David E. Patterson
Molecular Fragment Mining for Drug Discovery. ECSQARU (2005)
Heiko Timm, Christian Borgelt, Christian Döring, Rudolf Kruse
An extension to possibilistic fuzzy cluster analysis. Fuzzy Sets Syst. 147 (1) (2004)
Christian Borgelt, Daniela Girimonte, Giuseppe Acciani
Learning vector quantization: cluster size and cluster number. ISCAS (5) (2004)
Christian Borgelt, Rudolf Kruse
Probabilistische grafische Modellle und ihre Anwendung in der Automobilindustrie. Datenbank-Spektrum 9 (2004)
Christian Borgelt, Thorsten Meinl, Michael R. Berthold
Advanced pruning strategies to speed up mining closed molecular fragments. SMC (5) (2004)
Heiko Hofer, Christian Borgelt, Michael R. Berthold
Large scale mining of molecular fragments with wildcards. Intell. Data Anal. 8 (5) (2004)
Christian Borgelt, Andreas Nürnberger
Experiments in Term Weighting and Keyword Extraction in Document Clustering. LWA (2004)
Christian Borgelt
Recursion Pruning for the Apriori Algorithm. FIMI (2004)
Christian Borgelt, Daniela Girimonte, Giuseppe Acciani
Modeling and diagnosis of analog circuits with probabilistic graphical models. ISCAS (4) (2004)
Xiaomeng Wang, Christian Borgelt
Information measures in fuzzy decision trees. FUZZ-IEEE (2004)
Christian Borgelt, Rudolf Kruse
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering. PKDD (2004)
Christian Borgelt, Rudolf Kruse
Learning possibilistic graphical models from data. IEEE Trans. Fuzzy Syst. 11 (2) (2003)
Christian Borgelt, Rudolf Kruse
Speeding up fuzzy clustering with neural network techniques. FUZZ-IEEE (2003)
Rudolf Kruse, Christian Borgelt
Information mining. Int. J. Approx. Reason. 32 (2-3) (2003)
Christian Borgelt, Rudolf Kruse
Operations and evaluation measures for learning possibilistic graphical models. Artif. Intell. 148 (1-2) (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christian Borgelt