Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Algorithms Based On Computational Intelligence Based For Autonomous Physical Rehabilitation At Home
Date
2014-05-15
Author
Borghese, Nunzio Alberto
Lanzi, Pier Luca
Mainetti, Renato
Pirovano, Michele
Sürer, Elif
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
45
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/90440
Conference Name
24th Italian Workshop on Neural Networks (WIRN 2014)
Collections
Graduate School of Informatics, Conference / Seminar
Suggestions
OpenMETU
Core
Algorithms Based on Computational Intelligence for Autonomous Physical Rehabilitation at Home
Borghese, N. Alberto; Lanzi, Pier Luca; Mainetti, Renato; Pirovano, Michele; Sürer, Elif (null, Springer, 2015-01-01)
Algorithms for Efficient Learning Systems: Online and Active Learning Approaches
Ertekin Bolelli, Şeyda (VDM Verlag, 2019-01-01)
Algorithms for multi-level capacitated lot-sizing problem with set-up times
Şahin, E. İffet; Kırca, Ömer; Department of Industrial Engineering (1989)
Algorithms for regularized set Operations on solid objects
Mumcuoğlu, Alim; Gökler, Mustafa; Selbes, Fügen; Department of Computer Engineering (1990)
Methods for location prediction of mobile phone users
Keleş, İlkcan; Toroslu, İsmail Hakkı; Department of Computer Engineering (2014)
Due to the increasing use of mobile phones and their increasing capabilities, huge amount of usage and location data can be collected. Location prediction is an important task for mobile phone operators and smart city administrations to provide better services and recommendations. In this work, we have investigated several approaches for location prediction problem including clustering, classification and sequential pattern mining. We propose a sequence mining based approach for location prediction of mobil...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
N. A. Borghese, P. L. Lanzi, R. Mainetti, M. Pirovano, and E. Sürer, “Algorithms Based On Computational Intelligence Based For Autonomous Physical Rehabilitation At Home,” presented at the 24th Italian Workshop on Neural Networks (WIRN 2014), Salerno, İtalya, 2014, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/90440.