Zobrazeno 1 - 10
of 1 306
pro vyhledávání: '"A. Rampin"'
Autor:
Escamilla, Emily, Klein, Martin, Cooper, Talya, Rampin, Vicky, Weigle, Michele C., Nelson, Michael L.
One in five arXiv articles published in 2021 contained a URI to a Git Hosting Platform (GHP), which demonstrates the growing prevalence of GHP URIs in scholarly publications. However, GHP URIs are vulnerable to the same reference rot that plagues the
Externí odkaz:
http://arxiv.org/abs/2401.04887
Autor:
Escamilla, Emily, Klein, Martin, Cooper, Talya, Rampin, Vicky, Weigle, Michele C., Nelson, Michael L.
The definition of scholarly content has expanded to include the data and source code that contribute to a publication. While major archiving efforts to preserve conventional scholarly content, typically in PDFs (e.g., LOCKSS, CLOCKSS, Portico), are u
Externí odkaz:
http://arxiv.org/abs/2208.04895
Autor:
Drori, Iddo, Krishnamurthy, Yamuna, Rampin, Remi, Lourenco, Raoni de Paula, Ono, Jorge Piazentin, Cho, Kyunghyun, Silva, Claudio, Freire, Juliana
We introduce AlphaD3M, an automatic machine learning (AutoML) system based on meta reinforcement learning using sequence models with self play. AlphaD3M is based on edit operations performed over machine learning pipeline primitives providing explain
Externí odkaz:
http://arxiv.org/abs/2111.02508
Autor:
Rampin, Andrea, Rossoni, Andrea, Chaniotaki, Lefki, Gkiatas, Ioannis S., Tzora, Athina, Skoufos, Ioannis, Diakakis, Nikolaos, Prassinos, Nikitas, Zeugolis, Dimitrios I.
Publikováno v:
In European Journal of Cell Biology September 2024 103(3)
Autor:
Castelo, Sonia, Rampin, Rémi, Santos, Aécio, Bessa, Aline, Chirigati, Fernando, Freire, Juliana
The large volumes of structured data currently available, from Web tables to open-data portals and enterprise data, open up new opportunities for progress in answering many important scientific, societal, and business questions. However, finding rele
Externí odkaz:
http://arxiv.org/abs/2102.05716
Akademický článek
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Autor:
Drori, Iddo, Krishnamurthy, Yamuna, Lourenco, Raoni, Rampin, Remi, Cho, Kyunghyun, Silva, Claudio, Freire, Juliana
Automatic machine learning is an important problem in the forefront of machine learning. The strongest AutoML systems are based on neural networks, evolutionary algorithms, and Bayesian optimization. Recently AlphaD3M reached state-of-the-art results
Externí odkaz:
http://arxiv.org/abs/1905.10345
Reproducibility in the computational sciences has been stymied because of the complex and rapidly changing computational environments in which modern research takes place. While many will espouse reproducibility as a value, the challenge of making it
Externí odkaz:
http://arxiv.org/abs/1808.01406
Publikováno v:
The Journal of Information Systems, Volume 59, Pages 95-97, ISSN 0306-4379 (2016)
Although a standard in natural science, reproducibility has been only episodically applied in experimental computer science. Scientific papers often present a large number of tables, plots and pictures that summarize the obtained results, but then lo
Externí odkaz:
http://arxiv.org/abs/1709.01154
Autor:
Gaelle Champeil-Potokar, Léa Kreichati, Olivier Rampin, Isabelle Denis, Nicolas Darcel, Vincent Bombail
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 17 (2023)
Rats produce ultrasonic vocalisation (USVs) that are classified into different types, based on their average frequency. In pups 40 kHz USVs are produced upon social isolation, and in adults USVs can be associated with affective states and specific be
Externí odkaz:
https://doaj.org/article/c7ff418ca5ee4accb26aca61593e6a21