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08/15/2023
REFORMS: Reporting Standards for Machine Learning Based Science
Machine learning (ML) methods are proliferating in scientific research. ...
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11/10/2022
Perfectly predicting ICU length of stay: too good to be true
A paper of Alsinglawi et al was recently accepted and published in Scien...
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07/15/2022
Do Not Sleep on Linear Models: Simple and Interpretable Techniques Outperform Deep Learning for Sleep Scoring
Over the last few years, research in automatic sleep scoring has mainly ...
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05/04/2022
pyRDF2Vec: A Python Implementation and Extension of RDF2Vec
This paper introduces pyRDF2Vec, a Python software package that reimplem...
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03/04/2022
R-GCN: The R Could Stand for Random
The inception of Relational Graph Convolutional Networks (R-GCNs) marked...
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10/14/2021
Predictive models of RNA degradation through dual crowdsourcing
Messenger RNA-based medicines hold immense potential, as evidenced by th...
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09/09/2020
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
As KGs are symbolic constructs, specialized techniques have to be applie...
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01/15/2020
Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling
Information extracted from electrohysterography recordings could potenti...
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09/13/2019
GENDIS: GENetic DIscovery of Shapelets
In the time series classification domain, shapelets are small time serie...
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11/17/2016
