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Machine learning for nanoplasmonics
Masson, Jean-Francois, Biggins, John S., Ringe, Emilie
Published in Nature nanotechnology (01.02.2023)
Published in Nature nanotechnology (01.02.2023)
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Journal Article
A systematic review of stock market prediction using machine learning and statistical techniques
Kumar, Deepak, Sarangi, Pradeepta Kumar, Verma, Rajit
Published in Materials today : proceedings (01.01.2022)
Published in Materials today : proceedings (01.01.2022)
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Journal Article
Automated evaluation of Cr-III coated parts using Mask RCNN and ML methods
Katırcı, Ramazan, Yılmaz, Esra Kavalcı, Kaynar, Oğuz, Zontul, Metin
Published in Surface & coatings technology (25.09.2021)
Published in Surface & coatings technology (25.09.2021)
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Journal Article
Predictive modelling of transport decisions and resources optimisation in pre-hospital setting using machine learning techniques
Farhat, Hassan, Makhlouf, Ahmed, Gangaram, Padarath, El Aifa, Kawther, Howland, Ian, Babay Ep Rekik, Fatma, Abid, Cyrine, Khenissi, Mohamed Chaker, Castle, Nicholas, Al-Shaikh, Loua, Khadhraoui, Moncef, Gargouri, Imed, Laughton, James, Alinier, Guillaume
Published in PloS one (03.05.2024)
Published in PloS one (03.05.2024)
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Journal Article
Automated detection of spinal bone marrow oedema in axial spondyloarthritis: training and validation using two large phase 3 trial datasets
Jamaludin, Amir, Windsor, Rhydian, Ather, Sarim, Kadir, Timor, Zisserman, Andrew, Braun, Juergen, Gensler, Lianne S, Østergaard, Mikkel, Poddubnyy, Denis, Coroller, Thibaud, Porter, Brian, Ligozio, Gregory, Readie, Aimee, Machado, Pedro M
Published in Rheumatology (Oxford, England) (01.10.2025)
Published in Rheumatology (Oxford, England) (01.10.2025)
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Journal Article
An Automated Machine Learning–Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading
Sadeghpour, Anita, Jiang, Zhubo, Hummel, Yoran M., Frost, Matthew, Lam, Carolyn S.P., Shah, Sanjiv J., Lund, Lars H., Stone, Gregg W., Swaminathan, Madhav, Weissman, Neil J., Asch, Federico M.
Published in JACC. Cardiovascular imaging (01.01.2025)
Published in JACC. Cardiovascular imaging (01.01.2025)
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Journal Article
Identifying individuals at risk for weight gain using machine learning in electronic medical records from the United States
Choong, Casey, Xavier, Neena, Falcon, Beverly, Kan, Hong, Lipkovich, Ilya, Nowak, Callie, Hoyt, Margaret, Houle, Christy, Kahan, Scott
Published in Diabetes, obesity & metabolism (01.06.2025)
Published in Diabetes, obesity & metabolism (01.06.2025)
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Journal Article
Machine-learning model for predicting depression in second-hand smokers in cross-sectional data using the Korea National Health and Nutrition Examination Survey
Kim, Na Hyun, Kim, Myeongju, Han, Jong Soo, Sohn, Hyoju, Oh, Bumjo, Lee, Ji Won, Ahn, Sumin
Published in Digital health (01.01.2024)
Published in Digital health (01.01.2024)
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Journal Article
Key factors influencing clinical pregnancy rates in frozen-thawed single euploid embryo transfers: an artificial intelligence-based approach
Ozer, Gonul, Duzguner, Ipek, Ozmen, Sevinc, Akca, Aysu, Bakir, Lale, Ozkara, Gulcin, Yelke, Hakan, Colakoglu, Yesim Kumtepe, Aygun, Tutku Melis, Cetinkaya, Murat, Deniz, Eylem, Pehlivanli, Ayca Cakmak, Kahraman, Semra
Published in Reproductive biomedicine online (2025)
Published in Reproductive biomedicine online (2025)
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Journal Article
Artificial intelligence to predict pre‐clinical dental student academic performance based on pre‐university results: A preliminary study
Lestari, Widya, Abdullah, Adilah S., Amin, Afifah M. A., Nurfaridah, Sukotjo, Cortino, Ismail, Azlini, Ibrahim, Mohamad Shafiq Mohd, Insani, Nashuha, Utomo, Chandra P.
Published in Journal of dental education (01.12.2024)
Published in Journal of dental education (01.12.2024)
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Journal Article