Andrea Mannini
Computer Vision and Pattern Recognition · 2010–2013
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it; #6,761 of 21,575 by trust here, #12,172 by citations
- Biomedical Engineering — 12 citations into it; #1,291 of 10,734 by trust here, #6,455 by citations
- Physiology — 5 citations into it
Whom Andrea Mannini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ling Bao
- Lawrence R. Rabiner
- Anil K. Jain
- Chih-Jen Lin
- Stephen S. Intille
- Robert P. W. Duin
- Mark A. Hall
- Jianchang Mao
- Ronald Poppe
- Vladimir Naumovich Vapni
Who trusts Andrea Mannini overall
- Dana Hughes
- Che-Chang Yang
- Omer Berat Sezer
- Jorge Luis Reyes-Ortiz
- Davide Anguita
- Juri Taborri
- Ferhat Attal
- Luca Oneto
- Dapeng Tao
- Nikolaus Correll
Papers from Andrea Mannini's perspective
Ordered by how strongly the researchers Andrea Mannini trusts endorse each paper. Same corpus, a different order for every researcher.
- LIBSVM: A library for support vector machines
- The Nature of Statistical Learning Theory
- Statistical Pattern Recognition: A Review (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- A tutorial on hidden Markov models and selected applications in speech recognition
- 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))
- Measuring daily behavior using ambulatory accelerometry: The Activity Monitor (Behavoir research methods, instruments & computers)
- Activity Recognition from User-Annotated Acceleration Data
- The WEKA data mining software: an update
- Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement (Physiological Measurement)
- A reliable gait phase detection system (IEEE transactions on neural systems and rehabilitation engineering)
Their papers
- Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers (2010) — 792 citations
- Activity recognition using a single accelerometer placed at the wrist or ankle (2013) — 391 citations