Marco Stolpe

According to our database, Marco Stolpe authored at least 13 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Label Proportion Learning.

Marco Stolpe, Katharina Morik

Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022

2017

Distributed analysis of vertically partitioned sensor measurements under communication constraints.

Marco Stolpe

PhD thesis, 2017

2016

Sustainable Industrial Processes by Embedded Real-Time Quality Prediction.

Marco Stolpe, Hendrik Blom, Katharina Morik

Proceedings of the Computational Sustainability, 2016

The Internet of Things: Opportunities and Challenges for Distributed Data Analysis.

Marco Stolpe

SIGKDD Explor., 2016

Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten.

Mario Wiegand, Marco Stolpe, Jochen Deuse, Katharina Morik

Autom., 2016

Distributed Support Vector Machines: An Overview.

Marco Stolpe, Kanishka Bhaduri, Kamalika Das

Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015

Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI.

Thomas Liebig, Marco Stolpe, Katharina Morik

Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

2013

Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines.

Marco Stolpe, Kanishka Bhaduri, Kamalika Das, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Distributed Data Mining in Sensor Networks.

Kanishka Bhaduri, Marco Stolpe

Proceedings of the Managing and Mining Sensor Data, 2013

2012

Separable Approximate Optimization of Support Vector Machines for Distributed Sensing.

Sangkyun Lee, Marco Stolpe, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Learning from Label Proportions by Optimizing Cluster Model Selection.

Marco Stolpe, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Towards Adjusting Mobile Devices to User's Behaviour.

Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe

Proceedings of the LWA 2010, 2010

Towards Adjusting Mobile Devices to User's Behaviour.

Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe, Jochen Streicher

Proceedings of the Analysis of Social Media and Ubiquitous Data, 2010