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1Paper Hybrid Neurofuzzy
https://www.jorgemar.com/papers/Mixing-Approaches.pdf
3 hours ago by @jomargi
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Hybrid
Neurofuzzy
System
fuzzy-logic
neural
neuro-fuzzy
textual-similarity
HybridNeurofuzzySystemfuzzy-logicneuralneuro-fuzzytextual-similarity
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1Neuro-fuzzy
https://publicationslist.org/data/jorge-martinez-gil/ref-207/neurofuzzy.pdf
7 months ago by @jomargi
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fuzzy
fuzzy-logics
martinez
neural
neuro-fuzzy
textual-similarity
fuzzyfuzzy-logicsmartinezneuralneuro-fuzzytextual-similarity
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1A Novel Neurofuzzy Model for the Comparison of Legal Texts
https://publicationslist.org/data/jorge-martinez-gil/ref-205/legal-neurofuzzy.pdf
8 months ago by @jomargi
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fuzzy
knowledge-bases
martinez
neural
textual-similarity
fuzzyknowledge-basesmartinezneuraltextual-similarity
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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
a year ago by @attika
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Probabilistic
convolutional
networks
neural
Probabilisticconvolutionalnetworksneural
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1(141) Como uma Rede Neural Aprende? Tutorial para Leigos - YouTube
https://www.youtube.com/watch?v=mWD8wWwZpi8
2 years ago by @christianoavila
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chatgpt
neural
rede
chatgptneuralrede
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1Tutorial 9: Deep Autoencoders — UvA DL Notebooks v1.2 documentation
https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial9/AE_CIFAR10.html
2 years ago by @becker
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dtsclub
autoencoder
tutorial
pytorch
python
neural
network
nn
dtsclubautoencodertutorialpytorchpythonneuralnetworknn
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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
2 years ago by @becker
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group
equivariant
neural
networks
nn
geometric
deep
learning
network
mmis
kirste
groupequivariantneuralnetworksnngeometricdeeplearningnetworkmmiskirste
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1calico/scBasset: Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.
https://github.com/calico/scBasset
2 years ago by @becker
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atac
seq
atacseq
cnn
convolutional
neural
network
github
code
classification
atacseqatacseqcnnconvolutionalneuralnetworkgithubcodeclassification
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1GitHub - grok-ai/nn-template: Generic template to bootstrap your PyTorch project.
https://github.com/grok-ai/nn-template
2 years ago by @becker
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code
config
configuration
cookie
cutter
learning
machine
network
neural
programming
codeconfigconfigurationcookiecutterlearningmachinenetworkneuralprogramming
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1Neural network configuration
https://twitter.com/karpathy/status/1528808361558306817?t=DcAepTf_tNH1FP-wEjzWzQ&s=19
2 years ago by @becker
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config
network
neural
nn
python
confignetworkneuralnnpython
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6DALL·E 2
https://openai.com/dall-e-2/
2 years ago by @becker
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dalle
generation
image
network
neural
openai
realistic
toread
dallegenerationimagenetworkneuralopenairealistictoread
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1Machine Learning: TensorFlow-Benchmarks auf MacBooks mit M1 Pro und M1 Max | heise online
https://www.heise.de/tests/Machine-Learning-TensorFlow-Benchmarks-auf-MacBooks-mit-M1-Pro-und-M1-Max-6328476.html?seite=all
3 years ago by @hotho
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deep
learning
m1
mac
macbook
machine
network
neural
nn
tensorflow
deeplearningm1macmacbookmachinenetworkneuralnntensorflow
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13rd International Conference on Advances in Artificial Intelligence Techniques (ArIT 2022)
http://https://www.cseit2022.org/arit/index
3 years ago by @leninsha
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data
learning
machine
mining
neural
datalearningmachineminingneural
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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 years ago by @becker
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toread
neural
structured
learning
networks
intro
background
knowledge
integration
toreadneuralstructuredlearningnetworksintrobackgroundknowledgeintegration
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1Understanding Convolutions on Graphs
https://distill.pub/2021/understanding-gnns/
3 years ago by @becker
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graph
convolution
neural
network
nn
gcn
gnn
toread
graphconvolutionneuralnetworknngcngnntoread
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2The Neural Network Zoo - The Asimov Institute
https://www.asimovinstitute.org/neural-network-zoo/
3 years ago by @jaeschke
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deeplearning
dnn
machine
ml
network
neural
deeplearningdnnmachinemlnetworkneural
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1Explaining and Interpreting LSTMs | SpringerLink
https://link.springer.com/chapter/10.1007/978-3-030-28954-6_11#fromHistory
3 years ago by @schwemmlein
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explanation
interpretation
lstm
network
neural
explanationinterpretationlstmnetworkneural
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1Auto-Tagging Content with NLP | almeta
https://www.almeta.io/en/blog/auto-tagging-content-with-nlp/
4 years ago by @smetic
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NLP
automatic
entity
language
named
neural
processing
recignition
tagging
NLPautomaticentitylanguagenamedneuralprocessingrecignitiontagging
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1A Visual Guide to Using BERT for the First Time – Jay Alammar – Visualizing machine learning one concept at a time.
https://jalammar.github.io/a-visual-guide-to-using-bert-for-the-first-time/
4 years ago by @becker
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bert
visual
guide
example
neural
network
natural
language
processing
nlp
transformer
bertvisualguideexampleneuralnetworknaturallanguageprocessingnlptransformer
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1WangYueFt/dgcnn
https://github.com/WangYueFt/dgcnn
4 years ago by @becker
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dgcnn
dynamic
graph
cnn
convoluational
neural
network
code
github
dgcnndynamicgraphcnnconvoluationalneuralnetworkcodegithub
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publications (hide)1198
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2Using FCA for Encoding Closure Operators into Neural Networks
S. Rudolph. Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007), volume 4604 of Lecture Notes in Artificial Intelligence, page 321-332. Berlin, Heidelberg, Springer-Verlag, (July 2007)
17 years ago by @iccs
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2007
analysis
closure
concept
fca
formal
iccs
network
neural
operator
2007analysisclosureconceptfcaformaliccsnetworkneuraloperator
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3Topic Identification in Natural Language Dialogues Using Neural Networks
K. Lagus, and J. Kuusisto. (2002)
17 years ago by @aquila
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Language
Networks
identification
language
natural
networks
neural
topic
LanguageNetworksidentificationlanguagenaturalnetworksneuraltopic
(0)
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1How to combine amino acid sequences and neural networks to improve protein secondary structure prediction
G. Maino, and F. Fini. Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
18 years ago by @statphys23
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computation
folding
network
neural
parallel
prediction
protein
statphys23
structure
topic-10
computationfoldingnetworkneuralparallelpredictionproteinstatphys23structuretopic-10
(0)
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1On the inverse Ising problem: application to neural networks data
S. Cocco, S. Leibler, and R. Monasson. Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
18 years ago by @statphys23
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diagramatic
expansion
inverse
ising
networks
neural
problem
statphys23
topic-10
diagramaticexpansioninverseisingnetworksneuralproblemstatphys23topic-10
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1Mean Field Theory for Stochastic Dynamical Systems
A. Ichiki, and M. Shiino. Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
18 years ago by @statphys23
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coupled
field
mean
network
neural
nonequilibrium
oscillators
phase
statphys23
stochastic
system
topic-11
transition
coupledfieldmeannetworkneuralnonequilibriumoscillatorsphasestatphys23stochasticsystemtopic-11transition
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1Period-two cycles in a feedforward layered neural network model
F. Metz, and W. Theumann. Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
18 years ago by @statphys23
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cycles
feedforward
models
networks
neural
processing
sequence
statphys23
topic-9
cyclesfeedforwardmodelsnetworksneuralprocessingsequencestatphys23topic-9
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1Diversity of period-two cycles in the synchronous dynamics of a recurrent neural network with symmetric interactions
F. Metz, and W. Theumann. Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
18 years ago by @statphys23
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cycles
dynamics
network
neural
statphys23
synchronous
topic-9
cyclesdynamicsnetworkneuralstatphys23synchronoustopic-9
(0)
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14Learning to rank using gradient descent.
C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. ICML, page 89-96. ACM, (2005)
18 years ago by @kzhou
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learning
network
neural
ranking
learningnetworkneuralranking
(0)
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2Dissociating explicit and implicit category knowledge with fMRI
P. Reber, D. Gitelman, T. Parrish, and M. Mesulam. Journal of Cognitive Neuroscience, 15 (4): 574-583 (2003)0898-929X, Print 1530-8898, Electronic English Journal Article (250) Print(Paper).
18 years ago by @bertolt
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Activity
Cerebral
Classification
Cognitive
Cortex
Electrical
Incidental
Intentional
Learning
Neural
Neurobiology
Neurophysiology
Pathways
Process)
activity;
brain
category
expression
implicit
incidental
intentional
knowledge;
learning
learning;
mode;
neural
noncategorical
of
stimuli
systems;
visual
ActivityCerebralClassificationCognitiveCortexElectricalIncidentalIntentionalLearningNeuralNeurobiologyNeurophysiologyPathwaysProcess)activity;braincategoryexpressionimplicitincidentalintentionalknowledge;learninglearning;mode;neuralnoncategoricalofstimulisystems;visual
(0)
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1Language input and semantic categories: a relation between cognition and early word learning
A. Borovsky, and J. Elman. Journal of Child Language, 33 (04): 759-790 (2006)
18 years ago by @yish
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SRN
categories
child
cognition
dynamic
dynamical
early
language
learning
mythesis
networks
neural
neuralnetworks
psychology
semantic
simulation
systems
SRNcategorieschildcognitiondynamicdynamicalearlylanguagelearningmythesisnetworksneuralneuralnetworkspsychologysemanticsimulationsystems
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2Developmental and computational neuroscience approaches to cognition: The case of generalization
Y. Munakata, and R. O’Reilly. Cognitive Studies, (2003)
18 years ago by @yish
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cognition
cognitive
computational
generalization
learning
mythesis
networks
neural
neuroscience
psychology
cognitioncognitivecomputationalgeneralizationlearningmythesisnetworksneuralneurosciencepsychology
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1Diffusion tensor MR imaging of the brain and white matter tractography.
E. Melhem, S. Mori, G. Mukundan, M. Kraut, M. Pomper, and P. van Zijl. AJR American Journal of Roentgenology, 178 (1): 3--16 (January 2002)
18 years ago by @bmeyer
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Diffusion,
Myelinated,
Image
Processing,
Neural
Diseases,
Imaging,
Computer-Assisted,
Reference
Resonance
11756078
Pathways,
Nerve
Magnetic
Fibers,
Values,
Brain
Three-Dimensional,
Humans,
Enhancement,
Brain,
Diffusion,Myelinated,ImageProcessing,NeuralDiseases,Imaging,Computer-Assisted,ReferenceResonance11756078Pathways,NerveMagneticFibers,Values,BrainThree-Dimensional,Humans,Enhancement,Brain,
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1Applications of diffusion tensor MR imaging in multiple sclerosis.
Y. Ge, M. Law, and R. Grossman. Annals of the New York Academy of Sciences, (December 2005)
18 years ago by @bmeyer
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Myelinated,
Processing,
Imaging,
Multiple
Resonance
16394158
Fibers,
Support,
Brain
Diffusion
Brain,
Diffusion,
Image
Neural
Body
Computer-Assisted,
Sclerosis,
Extramural,
Research
Pathways,
Nerve
Magnetic
Water,
N.I.H.,
Humans,
Mapping,
Myelinated,Processing,Imaging,MultipleResonance16394158Fibers,Support,BrainDiffusionBrain,Diffusion,ImageNeuralBodyComputer-Assisted,Sclerosis,Extramural,ResearchPathways,NerveMagneticWater,N.I.H.,Humans,Mapping,
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1Principal diffusion direction in peritumoral fiber tracts: Color map patterns and directional statistics.
A. Field, Y. Wu, and A. Alexander. Ann N Y Acad Sci, (December 2005)
18 years ago by @bmeyer
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Myelinated,
Diffusion,
16394157
Neural
Neoplasms,
Imaging,
Body
Resonance
Pathways,
Nerve
Water,
Magnetic
Fibers,
Anisotropy,
Brain
Mapping,
Diffusion
Humans,
Brain,
Myelinated,Diffusion,16394157NeuralNeoplasms,Imaging,BodyResonancePathways,NerveWater,MagneticFibers,Anisotropy,BrainMapping,DiffusionHumans,Brain,
(0)
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1From the diffusion coefficient to the diffusion tensor.
D. Bihan, and P. van Zijl. NMR Biomed, 15 (7-8): 431--434 (2002)
18 years ago by @bmeyer
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Diffusion,
Myelinated,
Networks
Neural
Imaging,
Resonance
Nerve
Water,
Magnetic
Fibers,
Anisotropy,
(Computer),
Chemistry,
12489093
Brain
Diffusion
Brain,
Diffusion,Myelinated,NetworksNeuralImaging,ResonanceNerveWater,MagneticFibers,Anisotropy,(Computer),Chemistry,12489093BrainDiffusionBrain,
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1Psychological Structure and Neural Correlates of Event Knowledge
J. Wood, K. Knutson, and J. Grafman. Cerebral Cortex, 15 (8): 1155-1161 (2005)
18 years ago by @yish
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fMRI
amygdala
neuroimaging
Knowledge
scripts
neural
cortex
event
Structure
prefrontal
fMRIamygdalaneuroimagingKnowledgescriptsneuralcortexeventStructureprefrontal
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6Survey of clustering algorithms
R. Xu, and I. Wunsch. Neural Networks, IEEE Transactions on, 16 (3): 645--678 (2005)
18 years ago by @grani
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benchmark
validation,
(ART),
problem,
sets,
networks,
analysis,
(SOFM)
neural
salesman
Adaptive
feature
clustering
resonance
theory
algorithm,
proximity,
cluster
self-organizing
classification,
bioinformatics,
data
traveling
clustering,
map
pattern
benchmarkvalidation,(ART),problem,sets,networks,analysis,(SOFM)neuralsalesmanAdaptivefeatureclusteringresonancetheoryalgorithm,proximity,clusterself-organizingclassification,bioinformatics,datatravelingclustering,mappattern
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