Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Markus Hagenbuchner

Showing results (1-10 of 17) with videos related to

Pageof 2
Sort By:
Neural Networks : the Official Journal of the International Neural Network Society|September 17, 2018
The Vapnik-Chervonenkis dimension of graph and recursive neural networksFranco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner
Computer Methods and Programs in Biomedicine|March 8, 2018
Breast cancer data analysis for survivability studies and predictionNagesh Shukla, Markus Hagenbuchner, Khin Than Win, et al.
IEEE Transactions on Neural Networks|October 23, 2009
Learning nonsparse kernels by self-organizing maps for structured dataFabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 30, 2018
High-resolution Self-Organizing Maps for advanced visualization and dimension reductionAyu Saraswati, Van Tuc Nguyen, Markus Hagenbuchner, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 27, 2013
Solving graph data issues using a layered architecture approach with applications to web spam detectionFranco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner, et al.
IEEE Transactions on Neural Networks|December 11, 2008
The graph neural network modelFranco Scarselli, Marco Gori, Ah Chung Tsoi, et al.
IEEE Transactions on Neural Networks|January 9, 2009
Computational capabilities of graph neural networksFranco Scarselli, Marco Gori, Ah Chung Tsoi, et al.
Journal of Science and Medicine in Sport|August 5, 2014
Prediction of activity type in preschool children using machine learning techniquesMarkus Hagenbuchner, Dylan P Cliff, Stewart G Trost, et al.
BMJ Open|February 9, 2017
Educator engagement and interaction and children's physical activity in early childhood education and care settings: an observational study protocolKaren L Tonge, Rachel A Jones, Markus Hagenbuchner, et al.
Medicine and Science in Sports and Exercise|October 24, 2017
Sensor-enabled Activity Class Recognition in Preschoolers: Hip versus Wrist DataStewart G Trost, Dylan P Cliff, Matthew N Ahmadi, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Neural Networks : the Official Journal of the International Neural Network Society|September 17, 2018
The Vapnik-Chervonenkis dimension of graph and recursive neural networksFranco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner
Computer Methods and Programs in Biomedicine|March 8, 2018
Breast cancer data analysis for survivability studies and predictionNagesh Shukla, Markus Hagenbuchner, Khin Than Win, et al.
IEEE Transactions on Neural Networks|October 23, 2009
Learning nonsparse kernels by self-organizing maps for structured dataFabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 30, 2018
High-resolution Self-Organizing Maps for advanced visualization and dimension reductionAyu Saraswati, Van Tuc Nguyen, Markus Hagenbuchner, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 27, 2013
Solving graph data issues using a layered architecture approach with applications to web spam detectionFranco Scarselli, Ah Chung Tsoi, Markus Hagenbuchner, et al.
IEEE Transactions on Neural Networks|December 11, 2008
The graph neural network modelFranco Scarselli, Marco Gori, Ah Chung Tsoi, et al.
IEEE Transactions on Neural Networks|January 9, 2009
Computational capabilities of graph neural networksFranco Scarselli, Marco Gori, Ah Chung Tsoi, et al.
Journal of Science and Medicine in Sport|August 5, 2014
Prediction of activity type in preschool children using machine learning techniquesMarkus Hagenbuchner, Dylan P Cliff, Stewart G Trost, et al.
BMJ Open|February 9, 2017
Educator engagement and interaction and children's physical activity in early childhood education and care settings: an observational study protocolKaren L Tonge, Rachel A Jones, Markus Hagenbuchner, et al.
Medicine and Science in Sports and Exercise|October 24, 2017
Sensor-enabled Activity Class Recognition in Preschoolers: Hip versus Wrist DataStewart G Trost, Dylan P Cliff, Matthew N Ahmadi, et al.
Pageof 2