Comparison of Multi-service Routing Strategies for IP Core Networks. - Ulf Jensen; Armin Heindl (ASMTA, 2009)

Eingebettete Klassifikation der Ermüdung von Laufsportlern. - Bjoern M. Eskofier; Daniel Melzer; Patrick Kugler; Ulf Jensen (GI Jahrestagung (1), 2010)

Feedback-Training mit tragbaren Sensor-Netzwerken. - Patrick Kugler; Ulf Jensen; Björn M. Eskofier; Joachim Hornegger (GI Jahrestagung (1), 2010)

Classification of kinematic golf putt data with emphasis on feature selection. - Ulf Jensen; Bjoern M. Eskofier; Frank Dassler (ICPR, 2012)

Software-based performance and complexity analysis for the design of embedded classification systems. - Matthias Ring; Ulf Jensen; Patrick Kugler; Bjoern M. Eskofier (ICPR, 2012)

Classification of surfaces and inclinations during outdoor running using shoe-mounted inertial sensors. - Dominik Schuldhaus; Patrick Kugler; Ulf Jensen; Bjoern M. Eskofier; Heiko Schlarb; Magnus Leible (ICPR, 2012)

Sensor-Based Mobile Functional Movement Screening. - Ulf Jensen; Fabian Weilbrenner; Franz Rott; Bjoern M. Eskofier (MobiHealth, 2012)

Estimation of the Knee Flexion-Extension Angle During Dynamic Sport Motions Using Body-worn Inertial Sensors. - Carolin Jakob; Patrick Kugler; Felix Hebenstreit; Samuel J. Reinfelder; Ulf Jensen; Dominik Schuldhaus; Matthias Lochmann; Bjoern M. Eskofier (BODYNETS, 2013)

Classification of kinematic swimming data with emphasis on resource consumption. - Ulf Jensen; Franziska Prade; Bjoern M. Eskofier (BSN, 2013)

Approaching the accuracy-cost conflict in embedded classification system design. - Ulf Jensen; Patrick Kugler; Matthias Ring; Björn M. Eskofier (Pattern Anal. Appl., 2016)

Design Considerations and Application Examples for Embedded Classification Systems = Gesichtspunkte zum Entwurf und Anwendungsbeispiele eingebetteter Klassifikationssysteme. - Ulf Jensen (2016)

Can machine learning techniques predict customer dissatisfaction? A feasibility study for the automotive industry. - Stefan Meinzer; Ulf Jensen; Alexander Thamm; Joachim Hornegger; Björn M. Eskofier (Artif. Intell. Res., 2017)

Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports. - Thomas Kautz; Benjamin H. Groh; Julius Hannink; Ulf Jensen; Holger Strubberg; Björn M. Eskofier (Data Min. Knowl. Discov., 2017)

Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation. - Markus Zrenner; Martin Ullrich; Pascal Zobel; Ulf Jensen; Felix Laser; Benjamin H. Groh; Burkhard Dümler; Björn M. Eskofier (BSN, 2018)

Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units. - Markus Zrenner; Stefan Gradl; Ulf Jensen; Martin Ullrich; Björn M. Eskofier (Sensors, 2018)

Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running? - Markus Zrenner; Arne Küderle; Nils Roth; Ulf Jensen; Burkhard Dümler; Björn M. Eskofier (Sensors, 2020)