People:
Andre Busche, MSc.
Office hour:
C36SPl., upon request
C36SPl., upon request
Contact:
Phone: | +49 5121/ 883-40364 |
Fax: | +49 5121 / 883-40361 |
e-mail: |
Postal address:
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Visitor address:
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Projects:
Teaching:
- Winter Term 2012/2013: BSc/MSc Practical Business Intelligence, Business Analytics and Machine Learning
- Summer Term 2012: Information Systems 2
- Winter Term 2011/2012: Operating Systems and Networks Artificial Intelligence
- Summer Term 2011: Information Systems 2
- Winter Term 2010/2011: Information Systems 3
- Summer Term 2010: MSc Practical: Machine Learning and Artificial Intelligence
- Winter Term 2009/2010 MSc Practical: XML und Semantic Web Technologies
- Summer Term 2009 Tutorial: XML and Semantic Web Technologies
Information Systems 4: Business Process Modeling
Bachelor/Masterthesis:
- WiSe 2011: Lars Künnemann: Identifizierung von Hyperbeln auf Radargrammen durch Analyse von GPR-Daten
- SoSe 2011: Nadejda Muntean: Integration von Empfehlungssystemen in DLNA-kompatible Medienserver
- SoSe 2010: Franziska Mill: Untersuchung und Implementierung heuristischer Optimierungsverfahren für die An- und Abflugplanung
- SoSe 2010: Thorsten Warnecke: Geschäftsprozessmanagement und Web 2.0-Anwendungen unter Beruecksichtigung von kollektiver Intelligenz und Selbstorganisation
Publications:
- Nicolas Schilling, Andre Busche, Simone Miller, Michael Jungheim, Martin Ptok, Lars Schmidt-Thieme (2014):
Event Prediction in Pharyngeal High-Resolution Manometry , in Proceedings of the European Conference on Data Analysis, ECDA 2013, Springer, Luxemburg. - Andre Busche, Daniel Seyfried, Lars Schmidt-Thieme (2013):
Hough Transform and Kirchhoff Migration for Supervised GPR Data Analysis, in Proceedings of the European Conference on Data Analysis, ECDA 2013, Springer, Luxemburg. - Andre Busche, Ruth Janning, Lars Schmidt-Thieme (2013):
Analysing the Potential Impact of Labeling Disagreements for Engineering Sensor Data, in Proceedings of the LWA 2013 - Lernen, Wissen und Adaptivität, Knowledge Discovery and Machine Learning track, Bamberg. - Andre Busche, Ruth Janning, Tomas Horvath, Lars Schmidt-Thieme (2012):
A Unifying Framework for GPR Image Reconstruction, in 36nd Annual Conference of the Gesellschaft für Klassifikation (GfKl 2012). - Andre Busche, Ruth Janning, Tomas Horvath, Lars Schmidt-Thieme (2012):
Some Improvements for Multi-Hyperbola Detection on GPR Data, in Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML 2012). - Ruth Janning, Tomas Horvath, Andre Busche, Lars Schmidt-Thieme (2012):
Pipe Localization by Apex Detection, in Proceedings of the IET international conference on radar systems (Radar 2012), Glasgow, Scotland. - Ruth Janning, Tomas Horvath, Andre Busche, Lars Schmidt-Thieme (2012):
GamRec: a Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing, in Artificial Intelligence Applications and Innovations (IFIP Advances in Information and Communication Technology 381), Springer, Heidelberg, Halkidiki, Greece, pp. 347--356. - Daniel Seyfried, Andre Busche, Ruth Janning, Lars Schmidt-Thieme, Jörg Schöbel (2012):
Information Extraction From Ultrawideband Ground Penetrating Radar Data: A Machine Learning Approach, Proceedings of the 7th German Microwave Conference . - Artus Krohn-Grimberghe, Andre Busche, Alexandros Nanopoulos, Lars Schmidt-Thieme (2011):
Active Learning for Technology Enhanced Learning, in Proceedings of the European Conference on Technology Enhanced Learning (EC-TEL) 2011, LNCS, Springer. - Andre Busche, Artus Krohn-Grimberghe, Lars Schmidt-Thieme (2010):
Mining Music Playlogs for Next Song Recommendations, in Workshop Proceedings of Knowledge Discovery, Data Mining, Maschinelles Lernen 2010 (KDML 2010). - Krisztian Buza, Christine Preisach, Andre Busche, Lars Schmidt-Thieme, Wye Houn Leong, Mark Walters (2009):
Eigenmode Identification in Campbell Diagrams, in International Workshop on Machine Learning for Aerospace. - Nguyen Thai-Nghe, Andre Busche, Lars Schmidt-Thieme (2009):
Improving Academic Performance Prediction by Dealing with Class Imbalance, in Proceedings of the 9th IEEE International Conference on Intelligent Systems Design and Applications (ISDA 2009), IEEE Computer Society, pp. 878--883.