Source: Akshay, Akshay; Katoch, Mitali; Shekarchizadeh, Navid; Abedi, Masoud; Sharma, Ankush; Burkhard, Fiona C; Adam, Rosalyn M; Monastyrskaya, Katia; Hashemi Gheinani, Ali (2024).

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Academic Journal

Predicting redox potentials by graph-based machine learning methods.

Authors : Jia, Linlin; Brémond, Éric; Zaida, Larissa

Subjects: 000 Computer science; knowledge & systems; 510 Mathematics

Source: Jia, Linlin; Brémond, Éric; Zaida, Larissa; Gaüzère, Benoit; Tognetti, Vincent; Joubert, Laurent (2024). Predicting redox potentials by graph-based machine

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Academic Journal

Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning.

Authors : Salimi, Yazdan; Mansouri, Zahra; Hajianfar, Ghasem

Subjects: 610 Medicine & health

Source: Salimi, Yazdan; Mansouri, Zahra; Hajianfar, Ghasem; Sanaat, Amirhossein; Shiri, Isaac; Zaidi, Habib (2024). Fully automated explainable abdominal CT contrast media phase classification using organ

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Academic Journal

The quest for a biological phenotype of adolescent non-suicidal self-injury: a machine-learning approach.

Authors : Mürner-Lavanchy, Ines; Koenig, Julian; Reichl, Corinna

Subjects: 610 Medicine & health

Source: Mürner-Lavanchy, Ines; Koenig, Julian; Reichl, Corinna; Josi, Johannes; Cavelti, Marialuisa; Kaess, Michael (2024). The quest for a biological phenotype of adolescent non-suicidal self-injury: a

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Academic Journal

Machine Learning Facial Emotion Classifiers in Psychotherapy Research: A Proof-of-Concept Study.

Authors : Steppan, Martin; Zimmermann, Ronan; Fürer, Lukas

Subjects: 610 Medicine & health

Source: Steppan, Martin; Zimmermann, Ronan; Fürer, Lukas; Southward, Matthew; Koenig, Julian; Kaess, Michael; Kleinbub, Johann Roland; Roth, Volker; Schmeck, Klaus (2024).

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Conference

Asynchronous Federated Learning for Personalized Healthcare: Enhancing Privacy and Efficiency through Machine Learning and Computer Networking Integration

Authors : de Sousa Pacheco, Lucas; Braun, Torsten

Subjects: 000 Computer science; knowledge & systems; 510 Mathematics

Source: de Sousa Pacheco, Lucas; Braun, Torsten (5 May 2023). Asynchronous Federated Learning for Personalized Healthcare: Enhancing Privacy and Efficiency through

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Academic Journal

Machine learning quantification of Amyloid-β deposits in the temporal lobe of 131 brain bank cases.

Authors : Scalco, Rebeca; Oliveira, Luca C; Lai, Zhengfeng

Subjects: 630 Agriculture

Source: Scalco, Rebeca; Oliveira, Luca C; Lai, Zhengfeng; Harvey, Danielle J; Abujamil, Lana; DeCarli, Charles; Jin, Lee-Way; Chuah, Chen-Nee; Dugger, Brittany N (2024). Machine

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Academic Journal

A machine learning model to predict the risk of perinatal depression: Psychosocial and sleep-related factors in the Life-ON study cohort.

Authors : Garbazza, Corrado; Mangili, Francesca; D'Onofrio, Tatiana Adele

Subjects: 610 Medicine & health

Source: Garbazza, Corrado; Mangili, Francesca; D'Onofrio, Tatiana Adele; Malpetti, Daniele; Riccardi, Silvia; Cicolin, Alessandro; D'Agostino, Armando; Cirignotta, Fabio; Manconi, Mauro (2024). A

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Academic Journal

Machine Learning-Based Analysis Reveals Triterpene Saponins and Their Aglycones in Cimicifuga racemosa as Critical Mediators of AMPK Activation.

Authors : Drewe, Jürgen; Schöning, Verena; Danton, Ombeline

Subjects: 610 Medicine & health

Source: Drewe, Jürgen; Schöning, Verena; Danton, Ombeline; Schenk, Alexander; Boonen, Georg (2024). Machine Learning-Based Analysis Reveals

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Academic Journal

Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.

Authors : van Dooremalen, Coby; Ulgezen, Zeynep N; Dall'Olio, Raffaele

Subjects: 590 Animals (Zoology); 630 Agriculture

Source: van Dooremalen, Coby; Ulgezen, Zeynep N; Dall'Olio, Raffaele; Godeau, Ugoline; Duan, Xiaodong; Sousa, José Paulo; Schäfer, Marc O; Beaurepaire, Alexis; van Gennip, Pim; Schoonman, Marten; Flener,

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نتائج البحث

فلترة النتائج

Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis.

Predicting redox potentials by graph-based machine learning methods.

Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning.

The quest for a biological phenotype of adolescent non-suicidal self-injury: a machine-learning approach.

Machine Learning Facial Emotion Classifiers in Psychotherapy Research: A Proof-of-Concept Study.

Asynchronous Federated Learning for Personalized Healthcare: Enhancing Privacy and Efficiency through Machine Learning and Computer Networking Integration

Machine learning quantification of Amyloid-β deposits in the temporal lobe of 131 brain bank cases.

A machine learning model to predict the risk of perinatal depression: Psychosocial and sleep-related factors in the Life-ON study cohort.

Machine Learning-Based Analysis Reveals Triterpene Saponins and Their Aglycones in Cimicifuga racemosa as Critical Mediators of AMPK Activation.

Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.

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