Machine Learning
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We propose a novel Transformer-based methodology that integrates finan...
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Elizaveta Zinovyeva PhD topic
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This resource is related to the research paper "Meta-Learning for Moni...
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Variable Selection Lasso
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This resource is related to the research paper "Towards Code Summariza...
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The is the overview of the research paper Antisocial Online Behavior D...
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Bachelor-level lecture aimed to strike a balance between teaching stud...
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In this talk, we introduce a Bayesian evaluation framework that levera...
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We propose a novel Transformer-based methodology that integrates financial news articles directly with time-series market dat..
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This resource is related to the research paper "Meta-Learning for Monitoring in Code Summarization Systems".
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Variable Selection Lasso
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This resource is related to the research paper "Towards Code Summarization for Scientific Domain Experts on Scarce Data" crea..
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The is the overview of the research paper Antisocial Online Behavior Detection using Deep Learning 2020
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Bachelor-level lecture aimed to strike a balance between teaching students how to code in Python and conveying the foundation..
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In this talk, we introduce a Bayesian evaluation framework that leverages unlabeled data to facilitate more accurate predicti..
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This is the courselet for the article "Risk budget portfolios with convex Non-negative Matrix Factorization"
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This is the courselet for the article "Portfolio tail-risk protection with non-linear latent factors"
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