Dataset Open Access

Active Learning with RESSPECT: Data Set

da Silva de Souza, Rafael; Kennamer, Noble; de Oliveira Ishida, Emille Eugenia

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4399109", 
  "title": "Active Learning with RESSPECT: Data Set", 
  "issued": {
    "date-parts": [
  "abstract": "<p>This folder contains pre-processed simulated data first made available by Rick Kessler for the&nbsp;<br>\n<a href=\"\">Supernova Photometric Classification Challenge (SNPCC)</a>.</p>\n\n<p>All data were feature extracted using the <a href=\"\">Bazin parametric&nbsp;function</a>.</p>\n\n<p>This version of the data set&nbsp;was used to obtain the results reported in&nbsp;<a href=\"\">Kennamer et al., 2020&nbsp;- <em>Active learning with RESSPECT: resource allocation for extragalactic astronomical transients</em>.</a>&nbsp;Published during the&nbsp;<a href=\"\">2020 IEEE Symposium Series on Computational Intelligence</a>. The code used to obtain the results shown in the paper is available in the <a href=\"\">COINtoolbox</a> (github).&nbsp;<br>\n<br>\nThis work was developed under the <a href=\"\">RESSPECT project</a>, an inter-collaboration agreement established between the <a href=\"\">LSST Dark Energy Science Collaboration (LSST-DESC)</a> and the <a href=\"\">Cosmostatistics Initiative (COIN)</a> in order to develop an active learning pipeline to advise the allocation of telescope resources.</p>", 
  "author": [
      "family": "da Silva de Souza, Rafael"
      "family": "Kennamer, Noble"
      "family": "de Oliveira Ishida, Emille Eugenia"
  "note": "The Cosmostatistics Initiative was supported by the French government via a  CNRS-MOMENTUM grant from 2018-2020 under the project: Active Learning for Large Scale Sky Surveys.", 
  "type": "dataset", 
  "id": "4399109"
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