Search Results - Mostert, Rafaël I. J.

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  1. 1
    Unveiling the rarest morphologies of the LOFAR Two-metre Sky Survey radio source population with self-organised maps

    Unveiling the rarest morphologies of the LOFAR Two-metre Sky Survey radio source population with self-organised maps by Mostert, Rafaël I. J., Duncan, Kenneth J., Röttgering, Huub J. A., Polsterer, Kai L., Best, Philip N., Brienza, Marisa, Brüggen, Marcus, Hardcastle, Martin J., Jurlin, Nika, Mingo, Beatriz, Morganti, Raffaella, Shimwell, Tim, Smith, Dan, Williams, Wendy L.

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  2. 2
    Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks

    Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks by Mostert, Rafaël I. J., Duncan, Kenneth J., Alegre, Lara, Röttgering, Huub J. A., Williams, Wendy L., Best, Philip N., Hardcastle, Martin J., Morganti, Raffaella

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  3. 3
    Finding AGN remnant candidates based on radio morphology with machine learning

    Finding AGN remnant candidates based on radio morphology with machine learning by Mostert, Rafaël I. J., Morganti, Raffaella, Brienza, Marisa, Duncan, Kenneth J., Oei, Martijn S. S. L., Röttgering, Huub J. A., Alegre, Lara, Hardcastle, Martin J., Jurlin, Nika

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  4. 4
    A machine-learning classifier for LOFAR radio galaxy cross-matching techniques

    A machine-learning classifier for LOFAR radio galaxy cross-matching techniques by Alegre, Lara, Sabater, Jose, Best, Philip, Mostert, Rafaël I J, Williams, Wendy L, Gürkan, Gülay, Hardcastle, Martin J, Kondapally, Rohit, Shimwell, Tim W, Smith, Daniel J B

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  5. 5
    Constraining the giant radio galaxy population with machine learning and Bayesian inference

    Constraining the giant radio galaxy population with machine learning and Bayesian inference by Mostert, Rafaël I J, Martijn S S L Oei, Barkus, B, Alegre, Lara, Hardcastle, Martin J, Duncan, Kenneth J, Röttgering, Huub J A, van Weeren, Reinout J, Horton, Maya

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  6. 6
    Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks

    Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks by Mostert, Rafaël I J, Duncan, Kenneth J, Alegre, Lara, Röttgering, Huub J A, Williams, Wendy L, Best, Philip N, Hardcastle, Martin J, Morganti, Raffaella

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  7. 7
    A machine learning classifier for LOFAR radio galaxy cross-matching techniques

    A machine learning classifier for LOFAR radio galaxy cross-matching techniques by Alegre, Lara, Sabater, Jose, Best, Philip, Mostert, Rafaël I J, Williams, Wendy L, Gülay Gürkan, Hardcastle, Martin J, Kondapally, Rohit, Shimwell, Tim W, Smith, Daniel J B

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  8. 8
    Unveiling the rarest morphologies of the LOFAR Two-metre Sky Survey radio source population with self-organised maps

    Unveiling the rarest morphologies of the LOFAR Two-metre Sky Survey radio source population with self-organised maps by Mostert, Rafaël I J, Duncan, Kenneth J, Röttgering, Huub J A, Polsterer, Kai L, Best, Philip N, Brienza, Marisa, Brüggen, Marcus, Hardcastle, Martin J, Jurlin, Nika, Mingo, Beatriz, Morganti, Raffaella, Shimwell, Tim, Smith, Dan, Williams, Wendy L

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  9. 9
    Finding AGN remnant candidates based on radio morphology with machine learning

    Finding AGN remnant candidates based on radio morphology with machine learning by Mostert, Rafael I J, Morganti, Raffaella, Brienza, Marisa, Duncan, Kenneth J, Martijn S S L Oei, Rottgering, Huub J A, Alegre, Lara, Hardcastle, Martin J, Jurlin, Nika

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