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Cultural Vocal Bursts Intensity Prediction

to predict the intensity of 40 culture-specific emotions (10 emotions from each culture)

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 261–270 of 490 papers

Title	Date	Tasks	Status	Hype
Unsupervised embedding of trajectories captures the latent structure of scientific migration	Dec 4, 2020	Cultural Vocal Bursts Intensity Prediction	—Unverified	0
Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets	Dec 1, 2020	Autonomous DrivingCultural Vocal Bursts Intensity Prediction	—Unverified	0
Towards the First Machine Translation System for Sumerian Transliterations	Dec 1, 2020	Cultural Vocal Bursts Intensity PredictionMachine Translation	—Unverified	0
Deep learning for video game genre classification	Nov 21, 2020	ClassificationCultural Vocal Bursts Intensity Prediction	—Unverified	0
SophiaPop: Experiments in Human-AI Collaboration on Popular Music	Nov 20, 2020	Cultural Vocal Bursts Intensity Prediction	—Unverified	0
Deep multi-modal networks for book genre classification based on its cover	Nov 15, 2020	Cultural Vocal Bursts Intensity PredictionGeneral Classification	—Unverified	0
Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975-1999)	Nov 4, 2020	Community DetectionCultural Vocal Bursts Intensity Prediction	CodeCode Available	0
A biomimetic kidney tubule model	Nov 4, 2020	Cultural Vocal Bursts Intensity PredictionDrug Discovery	—Unverified	0
Discovering and Interpreting Biased Concepts in Online Communities	Oct 27, 2020	Cultural Vocal Bursts Intensity PredictionWord Embeddings	CodeCode Available	0
Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaa)	Oct 27, 2020	Cultural Vocal Bursts Intensity Prediction	CodeCode Available	0

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	w2v2-mtl-chain	Concordance correlation coefficient (CCC)	0.6	—	Unverified
2	w2v2-r-er	Concordance correlation coefficient (CCC)	0.52	—	Unverified