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A Survey of Domain Knowledge Elicitation in Applied Machine Learning
Kerrigan, Daniel, Hullman, Jessica, Bertini, Enrico
Published in Multimodal technologies and interaction (01.12.2021)
Published in Multimodal technologies and interaction (01.12.2021)
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Using applied machine learning to predict healthcare utilization based on socioeconomic determinants of care
Chen, Soy, Bergman, Danielle, Miller, Kelly, Kavanagh, Allison, Frownfelter, John, Showalter, John
Published in The American journal of managed care (01.01.2020)
Published in The American journal of managed care (01.01.2020)
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Challenges and Opportunities in Applied Machine Learning
Brodley, Carla E., Rebbapragada, Umaa, Small, Kevin, Wallace, Byron C.
Published in The AI magazine (22.03.2012)
Published in The AI magazine (22.03.2012)
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Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections
Moinuddin, Mohammed, Proffer, Logan, Vechione, Matthew, Khanal, Aaditya
Published in International Journal of Transportation Science and Technology (01.03.2024)
Published in International Journal of Transportation Science and Technology (01.03.2024)
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Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
Year of Publication 2022
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A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease
Musto, Henry, Stamate, Daniel, Pu, Ida, Stahl, Daniel
Published in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (01.12.2021)
Published in 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (01.12.2021)
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A Low Cost EDA-based Stress Detection Using Machine Learning
Hosseini, Elahe, Fang, Ruijie, Zhang, Ruoyu, Parenteau, Anna, Hang, Sally, Rafatirad, Setareh, Hostinar, Camelia, Orooji, Mahdi, Homayoun, Houman
Published in 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (06.12.2022)
Published in 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (06.12.2022)
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Conference Proceeding
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Interpretable machine learning-based predictive modeling of patient outcomes following cardiac surgery
Abbasi, Adeel, Li, Cindy, Dekle, Max, Bermudez, Christian A., Brodie, Daniel, Sellke, Frank W., Sodha, Neel R., Ventetuolo, Corey E., Eickhoff, Carsten
Published in The Journal of thoracic and cardiovascular surgery (01.01.2025)
Published in The Journal of thoracic and cardiovascular surgery (01.01.2025)
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Identification of subject-specific responses to footwear during running
Horst, Fabian, Hoitz, Fabian, Slijepcevic, Djordje, Schons, Nicolas, Beckmann, Hendrik, Nigg, Benno M., Schöllhorn, Wolfgang I.
Published in Scientific reports (12.07.2023)
Published in Scientific reports (12.07.2023)
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EEG-Based Emotion Recognition in Music Listening
Lin, Yuan-Pin, Wang, Chi-Hong, Jung, Tzyy-Ping, Wu, Tien-Lin, Jeng, Shyh-Kang, Duann, Jeng-Ren, Chen, Jyh-Horng
Published in IEEE transactions on biomedical engineering (01.07.2010)
Published in IEEE transactions on biomedical engineering (01.07.2010)
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Upper body thermal images and associated clinical data from a pilot cohort study of COVID-19
Rojas-Zumbado, Sofia, Tamez-Peña, Jose-Gerardo, Trevino-Ferrer, Andrea-Alejandra, Diaz-Garza, Carlos-Andres, Ledesma-Hernández, Meritxell, Esparza-Sandoval, Alejandra-Celina, Ortiz-Lopez, Rocio, Torre-Amione, Guillermo, Cardona-Huerta, Servando, Trevino, Victor
Published in BMC research notes (19.01.2024)
Published in BMC research notes (19.01.2024)
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A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosis and Staging of Pancreatic Ductal Adenocarcinoma
Yang, Zijian, LaRiviere, Michael J., Ko, Jina, Till, Jacob E., Christensen, Theresa, Yee, Stephanie S., Black, Taylor A., Tien, Kyle, Lin, Andrew, Shen, Hanfei, Bhagwat, Neha, Herman, Daniel, Adallah, Andrew, O'Hara, Mark H., Vollmer, Charles M., Katona, Bryson W., Stanger, Ben Z., Issadore, David, Carpenter, Erica L.
Published in Clinical cancer research (01.07.2020)
Published in Clinical cancer research (01.07.2020)
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Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment
Costafreda, Sergi G., Dinov, Ivo D., Tu, Zhuowen, Shi, Yonggang, Liu, Cheng-Yi, Kloszewska, Iwona, Mecocci, Patrizia, Soininen, Hilkka, Tsolaki, Magda, Vellas, Bruno, Wahlund, Lars-Olof, Spenger, Christian, Toga, Arthur W., Lovestone, Simon, Simmons, Andrew
Published in NeuroImage (Orlando, Fla.) (01.05.2011)
Published in NeuroImage (Orlando, Fla.) (01.05.2011)
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Metabolite profiles evaluated, according to sex, do not predict resting energy expenditure and lean body mass in healthy non-obese subjects
Armbruster, M., Rist, M., Seifert, S., Frommherz, L., Weinert, C., Mack, C., Roth, A., Merz, B., Bunzel, D., Krüger, R., Kulling, S., Watzl, B., Bub, A.
Published in European journal of nutrition (01.09.2019)
Published in European journal of nutrition (01.09.2019)
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Prediction of depression onset risk among middle-aged and elderly adults using machine learning and Canadian Longitudinal Study on Aging cohort
Song, Yipeng, Qian, Lei, Sui, Jie, Greiner, Russell, Li, Xin-min, Greenshaw, Andrew J., Liu, Yang S., Cao, Bo
Published in Journal of affective disorders (15.10.2023)
Published in Journal of affective disorders (15.10.2023)
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Decoding the temporal dynamics of spoken word and nonword processing from EEG
McMurray, Bob, Sarrett, McCall E., Chiu, Samantha, Black, Alexis K., Wang, Alice, Canale, Rebecca, Aslin, Richard N.
Published in NeuroImage (Orlando, Fla.) (15.10.2022)
Published in NeuroImage (Orlando, Fla.) (15.10.2022)
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Machine learning prediction of glaucoma by heavy metal exposure: results from the National Health and Nutrition Examination Survey 2005 to 2008
Wang, Xinchen, Chen, Gang, He, Rui, Gao, Yuting, Lu, Jingwen, Xu, Tongcheng, Liu, Heting, Jiang, Zhengxuan
Published in Scientific reports (10.02.2025)
Published in Scientific reports (10.02.2025)
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