CA3064223A1 - Techniques basees sur l`apprentissage profond d`apprentissage prealable de reseaux neuronaux a convolution profonde - Google Patents

Techniques basees sur l`apprentissage profond d`apprentissage prealable de reseaux neuronaux a convolution profonde Download PDF

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Publication number
CA3064223A1
CA3064223A1 CA3064223A CA3064223A CA3064223A1 CA 3064223 A1 CA3064223 A1 CA 3064223A1 CA 3064223 A CA3064223 A CA 3064223A CA 3064223 A CA3064223 A CA 3064223A CA 3064223 A1 CA3064223 A1 CA 3064223A1
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Canada
Prior art keywords
training
supplemental
missense
sequence pairs
training example
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Pending
Application number
CA3064223A
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English (en)
Inventor
Hong Gao
Kai-How FARH
Samskruthi REDDY PADIGEPATI
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Illumina Inc
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Illumina Inc
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Publication date
Priority claimed from US16/160,903 external-priority patent/US10423861B2/en
Priority claimed from US16/407,149 external-priority patent/US10540591B2/en
Application filed by Illumina Inc filed Critical Illumina Inc
Priority claimed from PCT/US2019/031621 external-priority patent/WO2020081122A1/fr
Publication of CA3064223A1 publication Critical patent/CA3064223A1/fr
Pending legal-status Critical Current

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CA3064223A 2018-10-15 2019-05-09 Techniques basees sur l`apprentissage profond d`apprentissage prealable de reseaux neuronaux a convolution profonde Pending CA3064223A1 (fr)

Applications Claiming Priority (15)

Application Number Priority Date Filing Date Title
USPCT/US2018/055878 2018-10-15
US16/160,903 US10423861B2 (en) 2017-10-16 2018-10-15 Deep learning-based techniques for training deep convolutional neural networks
US16/160,986 2018-10-15
US16/160,968 2018-10-15
USPCT/US2018/055881 2018-10-15
PCT/US2018/055878 WO2019079180A1 (fr) 2017-10-16 2018-10-15 Réseaux neuronaux à convolution profonde de classification de variants
PCT/US2018/055840 WO2019079166A1 (fr) 2017-10-16 2018-10-15 Techniques basées sur l'apprentissage profond d'apprentissage de réseaux neuronaux à convolution profonde
USPCT/US2018/055840 2018-10-15
US16/160,968 US11798650B2 (en) 2017-10-16 2018-10-15 Semi-supervised learning for training an ensemble of deep convolutional neural networks
US16/160,986 US11315016B2 (en) 2017-10-16 2018-10-15 Deep convolutional neural networks for variant classification
US16/160,903 2018-10-15
PCT/US2018/055881 WO2019079182A1 (fr) 2017-10-16 2018-10-15 Apprentissage semi-supervisé pour l'apprentissage d'un ensemble de réseaux neuronaux à convolution profonde
US16/407,149 2019-05-08
US16/407,149 US10540591B2 (en) 2017-10-16 2019-05-08 Deep learning-based techniques for pre-training deep convolutional neural networks
PCT/US2019/031621 WO2020081122A1 (fr) 2018-10-15 2019-05-09 Techniques de pré-entraînement de réseaux neuronaux à convolution profonde fondées sur l'apprentissage profond

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Publication Number Publication Date
CA3064223A1 true CA3064223A1 (fr) 2020-04-15

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CA3064223A Pending CA3064223A1 (fr) 2018-10-15 2019-05-09 Techniques basees sur l`apprentissage profond d`apprentissage prealable de reseaux neuronaux a convolution profonde

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CA (1) CA3064223A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111859785A (zh) * 2020-06-30 2020-10-30 上海交通大学 流体特征提取方法、系统、计算机可读存储介质及设备
CN117765264A (zh) * 2024-02-22 2024-03-26 北京理工大学 基于频率自适应膨胀卷积的图像语义分割方法及系统

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111859785A (zh) * 2020-06-30 2020-10-30 上海交通大学 流体特征提取方法、系统、计算机可读存储介质及设备
CN111859785B (zh) * 2020-06-30 2022-11-11 上海交通大学 流体特征提取方法、系统、计算机可读存储介质及设备
CN117765264A (zh) * 2024-02-22 2024-03-26 北京理工大学 基于频率自适应膨胀卷积的图像语义分割方法及系统

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