Paolo Bonato

Biomedical Engineering · 2000–2019

A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Paolo Bonato trusts overall

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

  1. Jeffrey M. Hausdorff
  2. Konrad Lorincz
  3. Miikka Ermes
  4. Daniel Roetenberg
  5. Juha Pärkkä

Who trusts Paolo Bonato overall

  1. Giovanni Acampora
  2. Diane Joyce Cook
  3. Parisa Rashidi
  4. Subhas Chandra Mukhopadhyay
  5. Satya Prakash Singh
  6. Giuseppe Aceto
  7. Athanasios V. Vasilakos

Papers from Paolo Bonato's perspective

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

  1. The Nature of Statistical Learning Theory
  2. PRTools3: A Matlab Toolbox for Pattern Recognition
  3. The nesC language: A holistic approach to networked embedded systems (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  4. Versatile low power media access for wireless sensor networks (ACM International Conference on Embedded Networked Sensor Systems)
  5. Gait assessment in Parkinson's disease: toward an ambulatory system for long-term monitoring (IEEE Transactions on Biomedical Engineering)
  6. Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application (ACM International Conference on Embedded Networked Sensor Systems)
  7. ECOSystem: managing energy as a first class operating system resource (ASPLOS X)
  8. Classification of basic daily movements using a triaxial accelerometer (Medical and Biological Engineering and Computing)
  9. Sensor networks for emergency response: challenges and opportunities (IEEE pervasive computing)
  10. Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information (2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks)

Their papers