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

Michael A Lones

Showing results (1-10 of 18) with videos related to

Pageof 2
Sort By:
Patterns (New York, N.Y.)|May 14, 2026
Pitfalls and risks of generative AI in machine learningMichael A Lones
Patterns (New York, N.Y.)|November 21, 2024
Avoiding common machine learning pitfallsMichael A Lones
Bio Systems|September 8, 2004
Modelling biological evolvability: implicit context and variation filtering in enzyme genetic programmingMichael A Lones, Andy M Tyrrell
Artificial Intelligence in Medicine|February 25, 2018
Using echo state networks for classification: A case study in Parkinson's disease diagnosisStuart E Lacy, Stephen L Smith, Michael A Lones
Plos One|January 20, 2026
Reassessing feature-based Android malware detection in a contemporary contextAli Muzaffar, Hani Ragab Hassen, Hind Zantout, et al.
Bio Systems|September 13, 2016
2015 Information Processing in Cells and Tissues (IPCAT 2015)Andy M Tyrrell, Michael A Lones, Stephen L Smith, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing DataArjun Shenoy A V, Michael A Lones, Stephen L Smith, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 8, 2016
Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-ModificationAlexander P Turner, Leo S D Caves, Susan Stepney, et al.
Bio Systems|March 19, 2013
Characterising neurological time series data using biologically motivated networks of coupled discrete mapsMichael A Lones, Stephen L Smith, Andy M Tyrrell, et al.
Disease Models & Mechanisms|August 30, 2020
Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's diseaseGideon L Hughes, Michael A Lones, Matthew Bedder, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Patterns (New York, N.Y.)|May 14, 2026
Pitfalls and risks of generative AI in machine learningMichael A Lones
Patterns (New York, N.Y.)|November 21, 2024
Avoiding common machine learning pitfallsMichael A Lones
Bio Systems|September 8, 2004
Modelling biological evolvability: implicit context and variation filtering in enzyme genetic programmingMichael A Lones, Andy M Tyrrell
Artificial Intelligence in Medicine|February 25, 2018
Using echo state networks for classification: A case study in Parkinson's disease diagnosisStuart E Lacy, Stephen L Smith, Michael A Lones
Plos One|January 20, 2026
Reassessing feature-based Android malware detection in a contemporary contextAli Muzaffar, Hani Ragab Hassen, Hind Zantout, et al.
Bio Systems|September 13, 2016
2015 Information Processing in Cells and Tissues (IPCAT 2015)Andy M Tyrrell, Michael A Lones, Stephen L Smith, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing DataArjun Shenoy A V, Michael A Lones, Stephen L Smith, et al.
IEEE Transactions on Neural Networks and Learning Systems|January 8, 2016
Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-ModificationAlexander P Turner, Leo S D Caves, Susan Stepney, et al.
Bio Systems|March 19, 2013
Characterising neurological time series data using biologically motivated networks of coupled discrete mapsMichael A Lones, Stephen L Smith, Andy M Tyrrell, et al.
Disease Models & Mechanisms|August 30, 2020
Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's diseaseGideon L Hughes, Michael A Lones, Matthew Bedder, et al.
Pageof 2