DATA MINING AND NEURAL NETWORK SIMULATIONS CAN HELP TO IMPROVE DEEP BRAIN STIMULATION EFFECTS IN PARKINSON'S DISEASE.
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- Computer Science, 2015, v. 16, n. 2, p. 199, doi. 10.7494/csci.2015.16.2.199
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- Article
Works matching IS 15082806 AND DT 2015 AND VI 16 AND IP 2
Results: 6
1
2
DOCUMENT CONTROVERSY CLASSIFICATION BASED ON THE WIKIPEDIA CATEGORY STRUCTURE.
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- Computer Science, 2015, v. 16, n. 2, p. 185, doi. 10.7494/csci.2015.16.2.185
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- Article
3
NOISY-PARALLEL AND COMPARABLE CORPORA FILTERING METHODOLOGY FOR THE EXTRACTION OF BI-LINGUAL EQUIVALENT DATA AT SENTENCE LEVEL.
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- Computer Science, 2015, v. 16, n. 2, p. 169, doi. 10.7494/csci.2015.16.2.169
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- Article
4
AUTOMATED CREDIBILITY ASSESSMENT ON TWITTER.
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- Computer Science, 2015, v. 16, n. 2, p. 157, doi. 10.7494/csci.2015.16.2.157
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- Article
5
APPLICATION OF LINGUISTIC CUES IN THE ANALYSIS OF LANGUAGE OF HATE GROUPS.
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- Computer Science, 2015, v. 16, n. 2, p. 145, doi. 10.7494/csci.2015.16.2.145
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- Publication type:
- Article
6
PRE-TRAINED DEEP NEURAL NETWORK USING SPARSE AUTOENCODERS AND SCATTERING WAVELET TRANSFORM FOR MUSICAL GENRE RECOGNITION.
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- Computer Science, 2015, v. 16, n. 2, p. 133, doi. 10.7494/csci.2015.16.2.133
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- Publication type:
- Article