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pro vyhledávání: '"O'Neill, Lachlan"'
Autor:
Angus, Simon D, O'Neill, Lachlan
Detecting and quantifying issue framing in textual discourse - the perspective one takes to a given topic (e.g. climate science vs. denialism, misogyny vs. gender equality) - is highly valuable to a range of end-users from social and political scient
Externí odkaz:
http://arxiv.org/abs/2408.09742
As the discipline has evolved, research in machine learning has been focused more and more on creating more powerful neural networks, without regard for the interpretability of these networks. Such "black-box models" yield state-of-the-art results, b
Externí odkaz:
http://arxiv.org/abs/2107.14417
Autor:
Lucas, Benjamin, Shifaz, Ahmed, Pelletier, Charlotte, O'Neill, Lachlan, Zaidi, Nayyar, Goethals, Bart, Petitjean, Francois, Webb, Geoffrey I.
Research into the classification of time series has made enormous progress in the last decade. The UCR time series archive has played a significant role in challenging and guiding the development of new learners for time series classification. The la
Externí odkaz:
http://arxiv.org/abs/1808.10594
Akademický článek
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