Dr. Nikou Günnemann

Funding

PhD scholarship from the BMW Group

About

Nikou Günnemann graduated in 2018 with a PhD in computer science from the TU-Munich. Her research interests include the analysis of dynamic data and machine learning to identify and describe patterns, trends, and relationships in data.

Selected publications

2017: Gunnemann, Nikou and Jürgen Pfeffer. "Predicting Defective Engines using Convolutional Neural Networks on Temporal Vibration Signals." In: First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 92-102.

2017: Gunnemann, Nikou and Jürgen Pfeffer. "Cost Matters: A New Example-Dependent CostSensitive Logistic Regression Model." In: Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer, 210-222.

2015: Gunnemann, Nikou and Jürgen Pfeffer. "Finding Non-Redundant Multi-Word Events on Twitter." In: Advances in Social Networks Analysis and Mining (ASONAM). 2015 IEEE/ACM International Conference on IEEE, 520-525.

2014: Gunnemann, Nikou, Stephan Gunnemann and Christos Faloutsos "Robust Multivariate Autoregression for Anomaly Detection in Dynamic Product Ratings." In: Proceedings of the 23rd International Conference on World Wide Web ACM, 361-372.

2014. Gunnemann, Nikou, Stephan Gunnemann and Christos Faloutsos. "Detecting Anomalies in Dynamic Rating Data: A Robust Probabilistic Model for Rating Evolution." In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ACM, 841-850.