tag :: cnn myown | BibSonomy

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2Performance Enhancement of Covid-19 Chest X-Ray Image Classification Using GAN and CNN
S. Panday, M. Dumre, A. Shakya, and B. Joshi. Proceedings of the 2024 7th International Conference on Machine Vision and Applications, page 12–20. New York, NY, USA, Association for Computing Machinery, (2024)
5 months ago by @amanshakya
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CNN
COVID-19
GAN
myown
x-ray
CNNCOVID-19GANmyownx-ray
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1N2V2PRO
S. Gesper, G. Thieu, D. Kohler, M. Kock, T. Berthold, O. Renke, H. Blume, and G. Paya-Vaya. (2023)
9 months ago by @fabcho
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Accelerator
CNN
Conversion
Custom
Hardware
Layer
Mapping
Network
Neural
Quantization
myown
AcceleratorCNNConversionCustomHardwareLayerMappingNetworkNeuralQuantizationmyown
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6NeuralPDE: Modelling Dynamical Systems from Data
A. Dulny, A. Hotho, and A. Krause. KI 2022: Advances in Artificial Intelligence, page 75--89. Cham, Springer International Publishing, (2022)
a year ago by @adulny
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cnn
convolution
deep-learning
dynamical-systems
from:adulny
myown
network
neural
neural-ode
neural-pde
neuralpde
cnnconvolutiondeep-learningdynamical-systemsfrom:adulnymyownnetworkneuralneural-odeneural-pdeneuralpde
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2Determination of Relevant Hyperspectral Bands Using a Spectrally Constrained CNN
U. Pestel-Schiller, K. Hu, D. Gritzner, and J. Ostermann. 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Paper 15, (March 2021)
3 years ago by @tntl3s
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Bands
CNN
Constrained
Hyperspectral
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Spectrally
leibnizailab
myown
BandsCNNConstrainedHyperspectralRelevantSpectrallyleibnizailabmyown
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11MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images
M. Steininger, K. Kobs, A. Zehe, F. Lautenschlager, M. Becker, and A. Hotho. ACM Transactions on Spatial Algorithms and Systems (TSAS), 6 (3): 1--24 (2020)
5 years ago by @becker
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air
cnn
image
map
mapping
myown
network
networks
neural
open
p21
prediction
project:bmbf
quality
street
aircnnimagemapmappingmyownnetworknetworksneuralopenp21predictionproject:bmbfqualitystreet
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6Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks
A. Zehe, L. Hettinger, S. Ernst, C. Hauptmann, and A. Hotho. Proceedings of The 13th International Workshop on Semantic Evaluation, Association for Computational Linguistics, (2019)
5 years ago by @hotho
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2019
cnn
hyperpartisan
myown
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nn
semeval
2019cnnhyperpartisanmyownnewsnlpnnsemeval
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4Staff, Symbol and Melody Detection of Medieval Manuscripts Written in Square Notation Using Deep Fully Convolutional Networks
C. Wick, A. Hartelt, and F. Puppe. Applied Sciences, (2019)
5 years ago by @chwick
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cnn
dissertation
dnn
myown
cnndissertationdnnmyown
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6Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks
A. Zehe, L. Hettinger, S. Ernst, C. Hauptmann, and A. Hotho. Proceedings of The 13th International Workshop on Semantic Evaluation, Association for Computational Linguistics, (2019)
5 years ago by @schwemmlein
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hyperpartisan
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nn
semeval
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6Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks
A. Zehe, L. Hettinger, S. Ernst, C. Hauptmann, and A. Hotho. Proceedings of The 13th International Workshop on Semantic Evaluation, Association for Computational Linguistics, (2019)
6 years ago by @dmir
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cnn
from:albinzehe
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myown
neuralnets
semeval
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6Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks
A. Zehe, L. Hettinger, S. Ernst, C. Hauptmann, and A. Hotho. Proceedings of The 13th International Workshop on Semantic Evaluation, Association for Computational Linguistics, (2019)
6 years ago by @albinzehe
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3Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning
C. Reul, U. Springmann, C. Wick, and F. Puppe. JLCL, 33 (1): 3-24 (2018)
6 years ago by @chwick
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2Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus
C. Wick, C. Reul, and F. Puppe. (2018)
6 years ago by @chwick
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cnn
dissertation
dnn
myown
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6ClaiRE at SemEval-2018 Task 7 - Extended Version
L. Hettinger, A. Dallmann, A. Zehe, T. Niebler, and A. Hotho. (2018)cite arxiv:1804.05825Comment: This is the extended version for our work: ClaiRE at SemEval-2018 Task 7.
7 years ago by @schwemmlein
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2018
classification
cnn
embeddings
myown
nlp
nn
relation
scientific
semantic
semeval
semeval18
word
2018classificationcnnembeddingsmyownnlpnnrelationscientificsemanticsemevalsemeval18word
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1Leaf Identification Using a Deep Convolutional Neural Network
C. Wick, and F. Puppe. (2017)cite arxiv:1712.00967.
7 years ago by @chwick
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cnn
dnn
myown
cnndnnmyown
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7Towards Sentiment Analysis on German Literature
A. Zehe, M. Becker, F. Jannidis, and A. Hotho. (2017)
7 years ago by @dmir
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cnn
dh
from:albinzehe
kallimachos
ma-zehe
myown
neuralnet
sentimentanalysis
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7Towards Sentiment Analysis on German Literature
A. Zehe, M. Becker, F. Jannidis, and A. Hotho. Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz), page 387-394. Springer, (2017)
7 years ago by @albinzehe
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cnn
kallimachos
ma-zehe
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myown:selected
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sentimentanalysis
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2Sentiment Analysis on German Novels
A. Zehe. (2017)
8 years ago by @albinzehe
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cnn
kallimachos
ma-zehe
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1acadTags/Label-Embedding-Medical-Coding: For HealTAC 2020: Initialising Label Embedding for Automated Medical Coding of Clinical Notes

publications (hide)17
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2Performance Enhancement of Covid-19 Chest X-Ray Image Classification Using GAN and CNN

1N2V2PRO

6NeuralPDE: Modelling Dynamical Systems from Data

2Determination of Relevant Hyperspectral Bands Using a Spectrally Constrained CNN

11MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images

6Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks

4Staff, Symbol and Melody Detection of Medieval Manuscripts Written in Square Notation Using Deep Fully Convolutional Networks

6Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks

6Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks

6Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks

3Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active Learning

2Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus

6ClaiRE at SemEval-2018 Task 7 - Extended Version

1Leaf Identification Using a Deep Convolutional Neural Network

7Towards Sentiment Analysis on German Literature

7Towards Sentiment Analysis on German Literature

2Sentiment Analysis on German Novels

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