Dr. Nikou Günnemann

Finanzierung

Promotionstipendium vom BMW Group.

Resume

Nikou Günnemann schloss 2018 ihre Promotion in der Informatik ab. Ihr Forschungsinteresse liegt in der Analyse dynamischer Daten und maschinellen Lernens, um Muster, Trends und Beziehungen in Daten zu erkennen und zu beschreiben.

Ausgewählte Publikationen

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.