Towards Adjusting Mobile Devices to User's Behaviour. - Peter Fricke; Felix Jungermann; Katharina Morik; Nico Piatkowski; Olaf Spinczyk; Marco Stolpe; Jochen Streicher (MSM/MUSE, 2010)

Towards Adjusting Mobile Devices to User's Behaviour. - Peter Fricke; Felix Jungermann; Katharina Morik; Nico Piatkowski; Olaf Spinczyk; Marco Stolpe (LWA, 2010)

Learning from Label Proportions by Optimizing Cluster Model Selection. - Marco Stolpe; Katharina Morik (ECML/PKDD (3), 2011)

Separable Approximate Optimization of Support Vector Machines for Distributed Sensing. - Sangkyun Lee 002; Marco Stolpe; Katharina Morik (ECML/PKDD (2), 2012)

Distributed Data Mining in Sensor Networks. - Kanishka Bhaduri; Marco Stolpe (Managing and Mining Sensor Data, 2013)

Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines. - Marco Stolpe; Kanishka Bhaduri; Kamalika Das; Katharina Morik (ECML/PKDD (3), 2013)

Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI. - Thomas Liebig; Marco Stolpe; Katharina Morik (MUD@ICML, 2015)

Distributed Support Vector Machines: An Overview. - Marco Stolpe; Kanishka Bhaduri; Kamalika Das (Solving Large Scale Learning Tasks, 2016)

Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten. - Mario Wiegand; Marco Stolpe; Jochen Deuse; Katharina Morik (Autom., 2016)

The Internet of Things: Opportunities and Challenges for Distributed Data Analysis. - Marco Stolpe (SIGKDD Explor., 2016)

Sustainable Industrial Processes by Embedded Real-Time Quality Prediction. - Marco Stolpe; Hendrik Blom; Katharina Morik (Computational Sustainability, 2016)

Distributed analysis of vertically partitioned sensor measurements under communication constraints. - Marco Stolpe (2017)

Label Proportion Learning. - Marco Stolpe; Katharina Morik (Mach. Learn. under Resour. Constraints Vol. 3 (3), 2022)