Stephan Bosch

Computer Vision and Pattern Recognition · 2010–2016

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Stephan Bosch trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Muhammad Shoaib
  2. D. Segal
  3. Hong Lu
  4. Ling Bao
  5. Mark A. Hall
  6. Tâm Huynh
  7. Nicholas Donald Lane
  8. Emiliano Miluzzo
  9. Jani Mäntyjärvi
  10. Bernt Schiele

Who trusts Stephan Bosch overall

  1. Muhammad Shoaib
  2. Daniel Hsu
  3. Zehua Sun
  4. Florenc Demrozi
  5. Daniela Micucci
  6. Zhihua Wang
  7. Mohammad Malekzadeh

Papers from Stephan Bosch's perspective

Ordered by how strongly the researchers Stephan Bosch trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Activity Recognition from User-Annotated Acceleration Data
  2. Activity Recognition from Accelerometer Data (AAAI Conference on Artificial Intelligence)
  3. Analyzing features for activity recognition (sOc-EUSAI '05)
  4. Activity sensing in the wild: a field trial of ubifit garden (International Conference on Human Factors in Computing Systems)
  5. The WEKA data mining software: an update
  6. Recognizing human motion with multiple acceleration sensors (2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236))
  7. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring (IEEE Transactions on Information Technology in Biomedicine)
  8. Hierarchical control of multiple resources in distributed real-time and embedded systems (Euromicro Conference on Real-Time Systems)
  9. Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly (IEEE Transactions on Biomedical Engineering)
  10. Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers