tag :: neural Networks

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1Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
http://hal.science/hal-04124796
8 месяцев назад , @attika
Probabilistic
convolutional
networks
neural
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1Chen-Cai-OSU/awesome-equivariant-network: Paper list for equivariant neural network
https://github.com/Chen-Cai-OSU/awesome-equivariant-network
год назад , @becker
group
equivariant
neural
networks
nn
geometric
deep
learning
network
mmis
kirste
groupequivariantneuralnetworksnngeometricdeeplearningnetworkmmiskirste
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1Introducing Neural Structured Learning in TensorFlow | by TensorFlow | TensorFlow | Medium
https://medium.com/tensorflow/introducing-neural-structured-learning-in-tensorflow-5a802efd7afd
3 лет назад , @becker
toread
neural
structured
learning
networks
intro
background
knowledge
integration
toreadneuralstructuredlearningnetworksintrobackgroundknowledgeintegration
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1optimization - What causes sudden drops in training/test errors when training a neural network? - Cross Validated
https://stats.stackexchange.com/questions/300839/what-causes-sudden-drops-in-training-test-errors-when-training-a-neural-network
4 лет назад , @becker
learning
rate
stagnant
drop
decrease
decay
neural
network
nn
networks
learningratestagnantdropdecreasedecayneuralnetworknnnetworks
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1deep learning - What should I do when my neural network doesn't learn? - Cross Validated
https://stats.stackexchange.com/questions/352036/what-should-i-do-when-my-neural-network-doesnt-learn
4 лет назад , @becker
nn
neural
networks
network
guide
101
mistakes
training
stack
overflow
stackoverflow
cross
validated
nnneuralnetworksnetworkguide101mistakestrainingstackoverflowstackoverflowcrossvalidated
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1Breaking the curse of small data sets in Machine Learning: Part 2
https://towardsdatascience.com/breaking-the-curse-of-small-data-sets-in-machine-learning-part-2-894aa45277f4
4 лет назад , @becker
data
dataset
small
neural
networks
nn
datadatasetsmallneuralnetworksnn
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1Stationary log-normal distribution of weights stems from spontaneous ordering in adaptive node networks | Scientific Reports
https://www.nature.com/articles/s41598-018-31523-1#citeas
4 лет назад , @sigoldberg1
adaptive
dendritic
hypergraphs
networks
neural
nodes
temporal
adaptivedendritichypergraphsnetworksneuralnodestemporal
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1A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
https://towardsdatascience.com/a-comprehensive-hands-on-guide-to-transfer-learning-with-real-world-applications-in-deep-learning-212bf3b2f27a
4 лет назад , @becker
transfer
learning
neural
network
networks
nn
project
butterfly
echo
deep
transferlearningneuralnetworknetworksnnprojectbutterflyechodeep
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1Dive into Deep Learning — Dive into Deep Learning documentation
http://d2l.ai/index.html
5 лет назад , @becker
book
deep
learning
tutorial
neural
networks
jupyter
bookdeeplearningtutorialneuralnetworksjupyter
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1confusion matrix - Prediction on Neural Network in R - Stack Overflow
https://stackoverflow.com/questions/37327421/prediction-on-neural-network-in-r
6 лет назад , @athang
analysis
data
networks
neural
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публикации (спрятать)354
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1Classification of risk factors of climate change on infectious diseases using Bio-Inspired Algorithms
K. Udonyah, и I. Umoren. Global Journal of Engineering and Technology Advances, 17 (1): 029–044 (февраля 2024)
один месяц назад , @gjetajournal
Artificial
Networks
Neural
ArtificialNetworksNeural
(0)
копироватьудалитьдобавить публикацию в буфер
1DeepMask Transforming Face Mask Identification for Better Pandemic Control in the COVID 19 Era
D. Yadav. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (1): 857-862 (февраля 2024)
2 месяцев назад , @ijtsrd
(CNNs),
COVID-19,
Convolutional
Deep
Face
Networks
Neural
Preventive
Technological
Transfer
health,
identification,
learning,
mask
measures,
public
solutions
(CNNs),COVID-19,ConvolutionalDeepFaceNetworksNeuralPreventiveTechnologicalTransferhealth,identification,learning,maskmeasures,publicsolutions
(0)
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2A Survey on Hypergraph Representation Learning
A. Antelmi, G. Cordasco, M. Polato, V. Scarano, C. Spagnuolo, и D. Yang. ACM Comput. Surv., (августа 2023)
2 месяцев назад , @tobias.koopmann
Hypergraph
attention
convolution
embedding
networks
neural
representation
Hypergraphattentionconvolutionembeddingnetworksneuralrepresentation
(0)
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3Inductive and transductive link prediction for criminal network analysis
Z. Ahmadi, H. Nguyen, Z. Zhang, D. Bozhkov, D. Kudenko, M. Jofre, F. Calderoni, N. Cohen, и Y. Solewicz. Journal of Computational Science, (сентября 2023)
3 месяцев назад , @erichoang
#rank1
Co-offender
Crime
Deep
Inductive
Machine
Repeat
Transductive
learning
link
linkage
myown
networks
neural
offenders
prediction
#rank1Co-offenderCrimeDeepInductiveMachineRepeatTransductivelearninglinklinkagemyownnetworksneuraloffendersprediction
(0)
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3Inductive and transductive link prediction for criminal network analysis
Z. Ahmadi, H. Nguyen, Z. Zhang, D. Bozhkov, D. Kudenko, M. Jofre, F. Calderoni, N. Cohen, и Y. Solewicz. Journal of Computational Science, (сентября 2023)
3 месяцев назад , @l3s
myown
neural
from:erichoang
Transductive
learning
linkage
Deep
Repeat
link
#rank1
networks
Machine
offenders
Co-offender
Crime
Inductive
prediction
myownneuralfrom:erichoangTransductivelearninglinkageDeepRepeatlink#rank1networksMachineoffendersCo-offenderCrimeInductiveprediction
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2Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer
H. Chereda, A. Bleckmann, F. Kramer, A. Leha, и T. Beissbarth. Studies in health technology and informatics, (сентября 2019)
3 месяцев назад , @becker
background
bki
gnn
graph
informed
integration
knowledge
learning
machine
ml
networks
neural
backgroundbkignngraphinformedintegrationknowledgelearningmachinemlnetworksneural
(0)
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2Online Quantization Adaptation for Fault-Tolerant Neural Network Inference
M. Beyer, J. Borrmann, A. Guntoro, и H. Blume. стр. 243--256. Springer International Publishing AG, (2023)
3 месяцев назад , @fabcho
Approximate
Automotive
Computing
Fault
Hardware
Network
Networks
Neural
Quantization
Tolerance
myown
ApproximateAutomotiveComputingFaultHardwareNetworkNetworksNeuralQuantizationTolerancemyown
(0)
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3Multi-Class Data Description for Out-of-Distribution Detection
D. Lee, S. Yu, и H. Yu. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, стр. 1362–1370. New York, NY, USA, Association for Computing Machinery, (2020)
4 месяцев назад , @andolab
Gaussian
OOD_detection
analysis
classification
discriminant
multi-class
networks
neural
out-of-distribution
GaussianOOD_detectionanalysisclassificationdiscriminantmulti-classnetworksneuralout-of-distribution
(0)
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2Optimization of Sparsity-Constrained Neural Networks as a Mixed Integer Linear Program
B. Rosenhahn. Journal of Optimization Theory and Applications, (октября 2023)(open access).
5 месяцев назад , @tntl3s
Networks
Neural
Sparsity-Constrained
leibnizailab
myown
NetworksNeuralSparsity-Constrainedleibnizailabmyown
(0)
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1The Use of Machine Learning and Neural Networks in the Digital Economy and International Digital Integration
D. Okhunov. Journal of Ethics and Diversity in International Communication, 3 (2): 79-84 (февраля 2023)
7 месяцев назад , @openaccess_20
algorithms,
approach,
artificial
intelligence,
learning,
logical
machine
networks
neural
neurocybernetic
algorithms,approach,artificialintelligence,learning,logicalmachinenetworksneuralneurocybernetic
(0)
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1HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization
P. Glandorf*, T. Kaiser*, B. Rosenhahn, и (*contributed equally). International Conference on Computer Vision Workshops (ICCVW), (октября 2023)
8 месяцев назад , @tntl3s
HyperSparse
Networks
Neural
leibnizailab
myown
HyperSparseNetworksNeuralleibnizailabmyown
(0)
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1Electric vehicle charging state predictions through hybrid deep learning: A review
R. Nagashree, и K. Gowda. GSC Advanced Research and Reviews, 15 (1): 076–080 (апреля 2023)
10 месяцев назад , @gscarrjournal
(RNNs)
Networks
Neural
Recursive
(RNNs)NetworksNeuralRecursive
(0)
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1Detection of Diabetic Retinopathy in Retinal Image Early Identification using Deep CNN
M. Vadivel. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (2): 557-565 (апреля 2023)
10 месяцев назад , @ijtsrd
Accuracy
Convolutional
Deep
Diabetic
Networks
Neural
Retinopathy
Sensitivity
Specificity
AccuracyConvolutionalDeepDiabeticNetworksNeuralRetinopathySensitivitySpecificity
(0)
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1The Application of Machine Learning to the Prediction of Heart Attack
R. |. International Journal of Human Computing Studies, 5 (4): 5-25 (апреля 2023)
10 месяцев назад , @researchpark_20
Algorithm
Attack,
Disease,
Electrocardiogram,
Heart
Learning,
Machine
Networks
Neural
Prediction
of
AlgorithmAttack,Disease,Electrocardiogram,HeartLearning,MachineNetworksNeuralPredictionof
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1DETECTION OF CRACKLES AND WHEEZES IN LUNG SOUND USING TRANSFER LEARNING
J. Li. Health Informatics: An International Journal (HIIJ), (2023)
11 месяцев назад , @jeffrenna
Convolutional
Cross
Learning
Machine
Networks
Neural
Transfer
Validation
ConvolutionalCrossLearningMachineNetworksNeuralTransferValidation
(0)
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4A Comprehensive Survey on Graph Neural Networks
Z. Wu, S. Pan, F. Chen, G. Long, C. Zhang, и P. Yu. IEEE Transactions on Neural Networks and Learning Systems, 32 (1): 4-24 (2021)
11 месяцев назад , @manli
graph
networks
neural
graphnetworksneural
(0)
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1A NOVEL PROBABILISTIC ARTIFICIAL NEURAL NETWORKS APPROACH FOR DIAGNOSING HEART DISEASE
S. Sa’di, R. Hashemi, A. Abdollapour, K. Chalabi, и M. Salamat. International Journal on Foundations of Computer Science & Technology (IJFCST), 5 (6): 7 (ноября 2015)
12 месяцев назад , @devino
(ANNs)
(PNN)
Artificial
Network
Networks
Neural
Probabilistic
accuracy
disease
heart
test
training
(ANNs)(PNN)ArtificialNetworkNetworksNeuralProbabilisticaccuracydiseasehearttesttraining
(0)
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1Explainability in graph neural networks: A taxonomic survey
H. Yuan, H. Yu, S. Gui, и S. Ji. IEEE Transactions on Pattern Analysis and Machine Intelligence, (2022)
год назад , @becker
explainable
ai
xai
artificial
intelligence
graph
neural
networks
gnn
citedby:scholar:count:203
citedby:scholar:timestamp:2023-4-9
explainableaixaiartificialintelligencegraphneuralnetworksgnncitedby:scholar:count:203citedby:scholar:timestamp:2023-4-9
(0)
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2SEGMENTATION AND RECOGNITION OF HANDWRITTEN DIGIT NUMERAL STRING USING A MULTI LAYER PERCEPTRON NEURAL NETWORKS
N. Rao, и D. Babu. International Journal on Foundations of Computer Science & Technology (IJFCST), 6 (1): 17 (января 2016)
год назад , @devino
Components
Connected
Extraction
Feature
Handwritten
Labeling
Multi-Layer
Networks
Neural
Perceptron
Segmentation
recognition
ComponentsConnectedExtractionFeatureHandwrittenLabelingMulti-LayerNetworksNeuralPerceptronSegmentationrecognition
(0)
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1Convolutional Neural Networks for the Classification of Guitar Effects and Extraction of the Parameter Settings of Single and Multi Guitar Effects from Instrument Mixes
R. Hinrichs, K. Gerkens, и J. Ostermann. EURASIP Journal on Audio, Speech, and Music Processing, (2022)
год назад , @tntl3s
Convolutional
Networks
Neural
leibnizailab
myown
ConvolutionalNetworksNeuralleibnizailabmyown
(0)
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1Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data

1Chen-Cai-OSU/awesome-equivariant-network: Paper list for equivariant neural network

1Introducing Neural Structured Learning in TensorFlow | by TensorFlow | TensorFlow | Medium

1optimization - What causes sudden drops in training/test errors when training a neural network? - Cross Validated

1deep learning - What should I do when my neural network doesn't learn? - Cross Validated

1Breaking the curse of small data sets in Machine Learning: Part 2

1Stationary log-normal distribution of weights stems from spontaneous ordering in adaptive node networks | Scientific Reports

1A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning

1Dive into Deep Learning — Dive into Deep Learning documentation

1confusion matrix - Prediction on Neural Network in R - Stack Overflow

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1Classification of risk factors of climate change on infectious diseases using Bio-Inspired Algorithms

1DeepMask Transforming Face Mask Identification for Better Pandemic Control in the COVID 19 Era

2A Survey on Hypergraph Representation Learning

3Inductive and transductive link prediction for criminal network analysis

3Inductive and transductive link prediction for criminal network analysis

2Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer

2Online Quantization Adaptation for Fault-Tolerant Neural Network Inference

3Multi-Class Data Description for Out-of-Distribution Detection

2Optimization of Sparsity-Constrained Neural Networks as a Mixed Integer Linear Program

1The Use of Machine Learning and Neural Networks in the Digital Economy and International Digital Integration

1HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization

1Electric vehicle charging state predictions through hybrid deep learning: A review

1Detection of Diabetic Retinopathy in Retinal Image Early Identification using Deep CNN

1The Application of Machine Learning to the Prediction of Heart Attack

1DETECTION OF CRACKLES AND WHEEZES IN LUNG SOUND USING TRANSFER LEARNING

4A Comprehensive Survey on Graph Neural Networks

1A NOVEL PROBABILISTIC ARTIFICIAL NEURAL NETWORKS APPROACH FOR DIAGNOSING HEART DISEASE

1Explainability in graph neural networks: A taxonomic survey

2SEGMENTATION AND RECOGNITION OF HANDWRITTEN DIGIT NUMERAL STRING USING A MULTI LAYER PERCEPTRON NEURAL NETWORKS

1Convolutional Neural Networks for the Classification of Guitar Effects and Extraction of the Parameter Settings of Single and Multi Guitar Effects from Instrument Mixes

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