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Learning to improve medical decision making from imbalanced data without a priori cost
Learning to improve medical decision making from imbalanced data without a priori cost
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Learning to improve medical decision making from imbalanced data without a priori cost

Wan, Xiang ; Liu, Jiming ; Cheung, William K ; Tong, Tiejun

BMC medical informatics and decision making, 2014-12, Vol.14 (1), p.111-111, Article 111 [Periódico revisado por pares]

England: BioMed Central Ltd

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12
Terminology and classification of muscle injuries in sport: The Munich consensus statement
Terminology and classification of muscle injuries in sport: The Munich consensus statement
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Terminology and classification of muscle injuries in sport: The Munich consensus statement

Mueller-Wohlfahrt, Hans-Wilhelm ; Haensel, Lutz ; Mithoefer, Kai ; Ekstrand, Jan ; English, Bryan ; McNally, Steven ; Orchard, John ; van Dijk, C Niek ; Kerkhoffs, Gino M ; Schamasch, Patrick ; Blottner, Dieter ; Swaerd, Leif ; Goedhart, Edwin ; Ueblacker, Peter

British journal of sports medicine, 2013-04, Vol.47 (6), p.342-350 [Periódico revisado por pares]

England: BMJ Publishing Group Ltd and British Association of Sport and Exercise Medicine

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13
Constructing decision rules from naive bayes model for robust and low complexity classification
Constructing decision rules from naive bayes model for robust and low complexity classification
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Constructing decision rules from naive bayes model for robust and low complexity classification

Al-Aaraji, Nabeel Hashim ; Al-Mamory, Safaa Obayes ; Al-Shakarchi, Ali Hashim

International journal of advances in intelligent informatics, 2021-03, Vol.7 (1), p.76-88 [Periódico revisado por pares]

Universitas Ahmad Dahlan

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14
Refined Classification of Personnel Costs with the Allocation of an Additional Classification Feature
Refined Classification of Personnel Costs with the Allocation of an Additional Classification Feature
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Refined Classification of Personnel Costs with the Allocation of an Additional Classification Feature

Kuritsyna, Natalia ; Ksenofontova, Ekaterina ; Antipova, Lidia Dvoryadkina, E.B. ; Animitsa, E.G.

SHS Web of Conferences, 2021, Vol.93, p.3002 [Periódico revisado por pares]

Les Ulis: EDP Sciences

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15
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
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EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Helber, Patrick ; Bischke, Benjamin ; Dengel, Andreas ; Borth, Damian

IEEE journal of selected topics in applied earth observations and remote sensing, 2019-07, Vol.12 (7), p.2217-2226 [Periódico revisado por pares]

Piscataway: IEEE

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16
Classification of skin lesions using transfer learning and augmentation with Alex-net
Classification of skin lesions using transfer learning and augmentation with Alex-net
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Classification of skin lesions using transfer learning and augmentation with Alex-net

Hosny, Khalid M ; Kassem, Mohamed A ; Foaud, Mohamed M Zhang, Jie

PloS one, 2019-05, Vol.14 (5), p.e0217293-e0217293 [Periódico revisado por pares]

United States: Public Library of Science

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17
cncRNAdb: a manually curated resource of experimentally supported RNAs with both protein-coding and noncoding function
cncRNAdb: a manually curated resource of experimentally supported RNAs with both protein-coding and noncoding function
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cncRNAdb: a manually curated resource of experimentally supported RNAs with both protein-coding and noncoding function

Huang, Yan ; Wang, Jing ; Zhao, Yue ; Wang, Huafeng ; Liu, Tianyuan ; Li, Yuhe ; Cui, Tianyu ; Li, Weiyi ; Feng, Yige ; Luo, Jiaxin ; Gong, Jiaqi ; Ning, Lin ; Zhang, Yong ; Wang, Dong ; Zhang, Yang

Nucleic acids research, 2021-01, Vol.49 (D1), p.D65-D70 [Periódico revisado por pares]

England: Oxford University Press

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18
Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
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Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

Brinker, Titus Josef ; Hekler, Achim ; Utikal, Jochen Sven ; Grabe, Niels ; Schadendorf, Dirk ; Klode, Joachim ; Berking, Carola ; Steeb, Theresa ; Enk, Alexander H ; von Kalle, Christof

Journal of medical Internet research, 2018-10, Vol.20 (10), p.e11936-e11936 [Periódico revisado por pares]

Canada: Journal of Medical Internet Research

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19
CompoDynamics: a comprehensive database for characterizing sequence composition dynamics
CompoDynamics: a comprehensive database for characterizing sequence composition dynamics
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CompoDynamics: a comprehensive database for characterizing sequence composition dynamics

Jiang, Shuai ; Du, Qiang ; Feng, Changrui ; Ma, Lina ; Zhang, Zhang

Nucleic acids research, 2022-01, Vol.50 (D1), p.D962-D969 [Periódico revisado por pares]

England: Oxford University Press

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20
PHI-base in 2022: a multi-species phenotype database for Pathogen–Host Interactions
PHI-base in 2022: a multi-species phenotype database for Pathogen–Host Interactions
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PHI-base in 2022: a multi-species phenotype database for Pathogen–Host Interactions

Urban, Martin ; Cuzick, Alayne ; Seager, James ; Wood, Valerie ; Rutherford, Kim ; Venkatesh, Shilpa Yagwakote ; Sahu, Jashobanta ; Iyer, S Vijaylakshmi ; Khamari, Lokanath ; De Silva, Nishadi ; Martinez, Manuel Carbajo ; Pedro, Helder ; Yates, Andrew D ; Hammond-Kosack, Kim E

Nucleic acids research, 2022-01, Vol.50 (D1), p.D837-D847 [Periódico revisado por pares]

England: Oxford University Press

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