Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tingting (Amy) Gibson"'
Artificial intelligence for basal cell carcinoma: diagnosis and distinction from histological mimics
Autor:
Blake O'Brien, Kun Zhao, Tingting (Amy) Gibson, Daniel F. Smith, David Ryan, Joseph Whitfield, Christopher D. Smith, Mark Bromley
Publikováno v:
Pathology. 55:342-349
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1c2db62335794a0752e96d863ffbe71
https://doi.org/10.1016/j.pathol.2022.10.004
https://doi.org/10.1016/j.pathol.2022.10.004
Autor:
Peter Worthy, Rachel A. Sluis, Daniel Angus, Andrew D. Back, Jacki Liddle, Anthony J. Angwin, David A. Copland, Janet Wiles, Tingting Amy Gibson
Publikováno v:
American Journal of Alzheimer's Disease & Other Dementiasr. 35:153331752093977
Dementia is a common neurodegenerative condition involving the deterioration of cognitive and communication skills. Pausing in the speech of people with dementia is a dysfluency that may be used to signal conversational trouble in social interaction.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02fd1f0289d34c5247d17a08d7d4a9d3
https://doi.org/10.1177/1533317520939773
https://doi.org/10.1177/1533317520939773
Autor:
Tingting Amy Gibson
Computer vision is enjoying huge success in visual processing applications such as facial recognition, object identification, and navigation. Most of these studies work with traditional cameras which produce frames at predetermined fixed time interva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b767fa73c85d9d5dd9495b4319550e2
https://doi.org/10.14264/uql.2018.664
https://doi.org/10.14264/uql.2018.664
Publikováno v:
IJCNN
This paper presents a novel paradigm for a spiking neural network to forecast temporal sequences. The key to the approach is a new model of a spiking neuron that can make multi-step predictions, using learnable temporal delays at both dendrites and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7a340128e0f8983dcc7254503c8360e
https://doi.org/10.1109/ijcnn.2014.6889850
https://doi.org/10.1109/ijcnn.2014.6889850
Autor:
Janet Wiles, Joshua Arnold, Scott Heath, Robert P. Quinn, Tharun S. Sonti, Tingting Amy Gibson, Brian T. Song, Andrew Whalley, George P. Shannon, James A. Henderson, Alexia H. Lee
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2014 ISBN: 9783319111780
ICANN
ICANN
For spiking networks to perform computational tasks, benchmark data sets are required for model design, refinement and testing. Classic machine learning benchmark data sets use classification as the dominant paradigm, however the temporal characteris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::032dc4dc5814350c53a4c599e6e0882e
https://doi.org/10.1007/978-3-319-11179-7_80
https://doi.org/10.1007/978-3-319-11179-7_80