- Home
- Leiter: Prof. Dr. Rudolf Kruse
- Mitarbeiter
- Lehre
- Forschung
- Publikations- datenbank
- Kontakt/Anreise
News-Archiv
Christian Braune
|
E-mail: | |
|
Adresse: |
Christian Braune, M.Sc. |
|
Büro: |
Gebäude 29, Raum 013 |
|
Tel: |
+49 391 67 52506 |
|
Fax: |
+49 391 67 12018 |
Veröffentlichungen
Keywords:
- Assembly
- assembly detection
- biology computing
- brain
- Brain modeling
- clustering
- continuous data
- dynamic graphs
- EEG
- Electric potential
- Electrodes
- Enron dataset
- ensemble detection
- feature extraction
- Hebbian learning
- multidimensional scaling
- neural assemblies online detection
- neural nets
- neurobiologists
- neurobiology
- neuroimaging
- neuron activation
- Neurons
- neuroscience
- online algorithms
- Pattern Recognition
- point processes
- Real-time systems
- social network analysis
- spike train
- spike train analysis
- spike trains behavior
- spike-time hypothesis
- stream analysis
- Trajectory
Publications of Christian Braune
2016
| , , , and , Computational Intelligence - A Methodological Introduction, Springer, 2016 |
| and , Fuzzy density based clustering with generalized centroids, in: 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1-7, 2016 |
| , and , Obtaining shape descriptors from a concave hull-based clustering algorithm, in: Advances in Intelligent Data Analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings, Stockholm, Sweden, pages 61-72, 2016 |
| , and , Variable Density Based Clustering, in: 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Athen, pages 1-8, IEEE, 2016 |
2015
| , and , An Alternating Optimization Approach based on Hierarchical Adaptations of DBSCAN, in: 2015 IEEE Symposium Series on Computational Intelligence (SSCI), 2015 |
| , , , , and , Computational Intelligence: Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze, Springer Vieweg, 2015 |
| and , Detecting parallel bursts in in silico generated parallel spike train data, in: 24th Annual Computational Neuroscience Meeting: CNS*2015, pages P134, 2015 |
| , and , Exploring dinofun park happenings, in: Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on, pages 157-158, 2015 |
| , , and , Handling Noise and Outliers in Fuzzy Clustering, in: Fifty Years of Fuzzy Logic and its Applications, pages 315-335, Springer International Publishing, 2015 |
| , , and , Mining Frequent Parallel Episodes with Selective Participation, in: 16th World Congress of the International Fuzzy Systems Association (IFSA) 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Atlantis Press, 2015 |
| , and , Towards Online Detection of Neural Assemblies in Parallel Spike Trains, in: 48th Hawaii International Conference on System Sciences (HICSS), 2015, pages 1503-1511, 2015 |
| , and , Using Changes in Distribution to Identify Synchronized Point Processes, in: Strengthening Links Between Data Analysis and Soft Computing, pages 241-248, Springer International Publishing, 2015 |
2014
| and , Active Learning-Based Identification of Neuronal Assemblies in Parallel Spike Trains, in: Proceedings. 24. Workshop Computational Intelligence, Dortmund, 27.-28. November 2014, pages 155-172, KIT Scientific Publishing, 2014 |
2013
| , , , and , Advanced Analysis of Dynamic Graphs in Social and Neural Networks, in: Towards Advanced Data Analysis by Combining Soft Computing and Statistics, pages 205--222, Springer, 2013 |
|
| , and , Behavioral Clustering for Point Processes, in: Advances in Intelligent Data Analysis XII, pages 127-137, Springer Berlin Heidelberg, 2013 |
| and , Prototype Construction for Clustering of Point Processes based on Imprecise Synchrony, in: EUSFLAT-13, Atlantis Press, 2013 |
| , , and , Unsicheres und vages Wissen, in: Handbuch der Künstlichen Intelligenz, pages 235-296, De Gruyter, 2013 |
2012
| , Analysis of Parallel Spike Trains with Clustering Methods, Otto von Guericke University Magdeburg, School of Computer Science, Department of Knowledge and Language Processing, 2012 |
| , and , Assembly Detection in Continuous Neural Spike Train Data, in: Advances in Intelligent Data Analysis XI, pages 78-89, Springer Berlin / Heidelberg, 2012 |
| , and , Estimating Edge Weights in Dynamic Graphs based on Events, in: Proceedings // 22. Workshop Computational Intelligence, pages 201-215, KIT Scientific Publishing, 2012 |
|
| , , and , New Algorithms for Finding Approximate Frequent Item Sets (2012), in: Soft Computing - A Fusion of Foundations, Methodologies and Applications, 16:2(903-917) |
2011
| , and , Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing, in: Advances in Intelligent Data Analysis X, pages 55-66, Springer Berlin / Heidelberg, 2011 |
| , Identifying Neuron Ensembles in Parallel Spike Trains: Detection Methods and Reduction of False-Positives, Otto-von-Guericke-Universität, 2011 |
