Detecting anomalies in dynamic rating data: A robust probabilistic model for rating evolution S Günnemann, N Günnemann, C Faloutsos Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 73 | 2014 |
Robust multivariate autoregression for anomaly detection in dynamic product ratings N Günnemann, S Günnemann, C Faloutsos Proceedings of the 23rd international conference on World wide web, 361-372, 2014 | 72 | 2014 |
Predicting defective engines using convolutional neural networks on temporal vibration signals N Günnemann, J Pfeffer First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017 | 33 | 2017 |
Cost matters: a new example-dependent cost-sensitive logistic regression model N Günnemann, J Pfeffer Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 12 | 2017 |
An interactive system for visual analytics of dynamic topic models N Günnemann, M Derntl, R Klamma, M Jarke Datenbank-Spektrum 13, 213-223, 2013 | 12 | 2013 |
Finding non-redundant multi-word events on twitter N Günnemann, J Pfeffer Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 11 | 2015 |
Building and exploring dynamic topic models on the web M Derntl, N Günnemann, A Tillmann, R Klamma, M Jarke Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 9 | 2014 |
A Dynamic Topic Model of Learning Analytics Research. M Derntl, N Günnemann, R Klamma LAK (Data Challenge), 2013 | 9 | 2013 |
D-VITA: a visual interactive text analysis system using dynamic topic mining N Günnemann Gesellschaft für Informatik eV, 2013 | 3 | 2013 |
CLUSTER BASED CLASSIFICATION FOR TIME SERIES DATA S GEIPEL, Markus Michael GÜNNEMANN-GHOLIZADEH, Nikou MERK, Stephan MITTELSTÄDT | | 2020 |