Convolutional neural network application on a new middle Eocene radiolarian dataset
A new radiolarian image database was used to train a Convolutional Neural Network (CNN) for automatic image classification. The focus was on 39 commonly occurring nassellarian species, which are important for biostratigraphy.
Autor*in: |
Carlsson, Veronica [verfasserIn] Danelian, Taniel [verfasserIn] Tetard, Martin [verfasserIn] Meunier, Mathias [verfasserIn] Boulet, Pierre [verfasserIn] Devienne, Philippe [verfasserIn] Ventalon, Sandra [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Marine micropaleontology - New York, NY [u.a.] : Elsevier, 1976, 183 |
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Übergeordnetes Werk: |
volume:183 |
DOI / URN: |
10.1016/j.marmicro.2023.102268 |
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Katalog-ID: |
ELV062299190 |
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245 | 1 | 0 | |a Convolutional neural network application on a new middle Eocene radiolarian dataset |
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520 | |a A new radiolarian image database was used to train a Convolutional Neural Network (CNN) for automatic image classification. The focus was on 39 commonly occurring nassellarian species, which are important for biostratigraphy. | ||
650 | 4 | |a Middle Eocene | |
650 | 4 | |a radiolaria | |
650 | 4 | |a Convolutional neural network | |
650 | 4 | |a Image database | |
650 | 4 | |a Automated identification | |
650 | 4 | |a Image recognition | |
700 | 1 | |a Danelian, Taniel |e verfasserin |4 aut | |
700 | 1 | |a Tetard, Martin |e verfasserin |4 aut | |
700 | 1 | |a Meunier, Mathias |e verfasserin |4 aut | |
700 | 1 | |a Boulet, Pierre |e verfasserin |4 aut | |
700 | 1 | |a Devienne, Philippe |e verfasserin |4 aut | |
700 | 1 | |a Ventalon, Sandra |e verfasserin |4 aut | |
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10.1016/j.marmicro.2023.102268 doi (DE-627)ELV062299190 (ELSEVIER)S0377-8398(23)00067-1 DE-627 ger DE-627 rda eng 550 VZ 38.20 bkl Carlsson, Veronica verfasserin aut Convolutional neural network application on a new middle Eocene radiolarian dataset 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A new radiolarian image database was used to train a Convolutional Neural Network (CNN) for automatic image classification. The focus was on 39 commonly occurring nassellarian species, which are important for biostratigraphy. Middle Eocene radiolaria Convolutional neural network Image database Automated identification Image recognition Danelian, Taniel verfasserin aut Tetard, Martin verfasserin aut Meunier, Mathias verfasserin aut Boulet, Pierre verfasserin aut Devienne, Philippe verfasserin aut Ventalon, Sandra verfasserin aut Enthalten in Marine micropaleontology New York, NY [u.a.] : Elsevier, 1976 183 Online-Ressource (DE-627)300593775 (DE-600)1482923-X (DE-576)081952597 nnns volume:183 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.20 Paläontologie: Allgemeines VZ AR 183 |
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10.1016/j.marmicro.2023.102268 doi (DE-627)ELV062299190 (ELSEVIER)S0377-8398(23)00067-1 DE-627 ger DE-627 rda eng 550 VZ 38.20 bkl Carlsson, Veronica verfasserin aut Convolutional neural network application on a new middle Eocene radiolarian dataset 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A new radiolarian image database was used to train a Convolutional Neural Network (CNN) for automatic image classification. The focus was on 39 commonly occurring nassellarian species, which are important for biostratigraphy. Middle Eocene radiolaria Convolutional neural network Image database Automated identification Image recognition Danelian, Taniel verfasserin aut Tetard, Martin verfasserin aut Meunier, Mathias verfasserin aut Boulet, Pierre verfasserin aut Devienne, Philippe verfasserin aut Ventalon, Sandra verfasserin aut Enthalten in Marine micropaleontology New York, NY [u.a.] : Elsevier, 1976 183 Online-Ressource (DE-627)300593775 (DE-600)1482923-X (DE-576)081952597 nnns volume:183 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.20 Paläontologie: Allgemeines VZ AR 183 |
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10.1016/j.marmicro.2023.102268 doi (DE-627)ELV062299190 (ELSEVIER)S0377-8398(23)00067-1 DE-627 ger DE-627 rda eng 550 VZ 38.20 bkl Carlsson, Veronica verfasserin aut Convolutional neural network application on a new middle Eocene radiolarian dataset 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A new radiolarian image database was used to train a Convolutional Neural Network (CNN) for automatic image classification. The focus was on 39 commonly occurring nassellarian species, which are important for biostratigraphy. Middle Eocene radiolaria Convolutional neural network Image database Automated identification Image recognition Danelian, Taniel verfasserin aut Tetard, Martin verfasserin aut Meunier, Mathias verfasserin aut Boulet, Pierre verfasserin aut Devienne, Philippe verfasserin aut Ventalon, Sandra verfasserin aut Enthalten in Marine micropaleontology New York, NY [u.a.] : Elsevier, 1976 183 Online-Ressource (DE-627)300593775 (DE-600)1482923-X (DE-576)081952597 nnns volume:183 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.20 Paläontologie: Allgemeines VZ AR 183 |
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10.1016/j.marmicro.2023.102268 doi (DE-627)ELV062299190 (ELSEVIER)S0377-8398(23)00067-1 DE-627 ger DE-627 rda eng 550 VZ 38.20 bkl Carlsson, Veronica verfasserin aut Convolutional neural network application on a new middle Eocene radiolarian dataset 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A new radiolarian image database was used to train a Convolutional Neural Network (CNN) for automatic image classification. The focus was on 39 commonly occurring nassellarian species, which are important for biostratigraphy. Middle Eocene radiolaria Convolutional neural network Image database Automated identification Image recognition Danelian, Taniel verfasserin aut Tetard, Martin verfasserin aut Meunier, Mathias verfasserin aut Boulet, Pierre verfasserin aut Devienne, Philippe verfasserin aut Ventalon, Sandra verfasserin aut Enthalten in Marine micropaleontology New York, NY [u.a.] : Elsevier, 1976 183 Online-Ressource (DE-627)300593775 (DE-600)1482923-X (DE-576)081952597 nnns volume:183 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.20 Paläontologie: Allgemeines VZ AR 183 |
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10.1016/j.marmicro.2023.102268 doi (DE-627)ELV062299190 (ELSEVIER)S0377-8398(23)00067-1 DE-627 ger DE-627 rda eng 550 VZ 38.20 bkl Carlsson, Veronica verfasserin aut Convolutional neural network application on a new middle Eocene radiolarian dataset 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A new radiolarian image database was used to train a Convolutional Neural Network (CNN) for automatic image classification. The focus was on 39 commonly occurring nassellarian species, which are important for biostratigraphy. Middle Eocene radiolaria Convolutional neural network Image database Automated identification Image recognition Danelian, Taniel verfasserin aut Tetard, Martin verfasserin aut Meunier, Mathias verfasserin aut Boulet, Pierre verfasserin aut Devienne, Philippe verfasserin aut Ventalon, Sandra verfasserin aut Enthalten in Marine micropaleontology New York, NY [u.a.] : Elsevier, 1976 183 Online-Ressource (DE-627)300593775 (DE-600)1482923-X (DE-576)081952597 nnns volume:183 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.20 Paläontologie: Allgemeines VZ AR 183 |
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Carlsson, Veronica ddc 550 bkl 38.20 misc Middle Eocene misc radiolaria misc Convolutional neural network misc Image database misc Automated identification misc Image recognition Convolutional neural network application on a new middle Eocene radiolarian dataset |
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Convolutional neural network application on a new middle Eocene radiolarian dataset |
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convolutional neural network application on a new middle eocene radiolarian dataset |
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Convolutional neural network application on a new middle Eocene radiolarian dataset |
abstract |
A new radiolarian image database was used to train a Convolutional Neural Network (CNN) for automatic image classification. The focus was on 39 commonly occurring nassellarian species, which are important for biostratigraphy. |
abstractGer |
A new radiolarian image database was used to train a Convolutional Neural Network (CNN) for automatic image classification. The focus was on 39 commonly occurring nassellarian species, which are important for biostratigraphy. |
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A new radiolarian image database was used to train a Convolutional Neural Network (CNN) for automatic image classification. The focus was on 39 commonly occurring nassellarian species, which are important for biostratigraphy. |
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Danelian, Taniel Tetard, Martin Meunier, Mathias Boulet, Pierre Devienne, Philippe Ventalon, Sandra |
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