Deep Blue: Browsing by Title

Machine learning for crystal identification and discovery

Spellings, Matthew; Glotzer, Sharon C. (Wiley Periodicals, Inc., 2018-06)

(1.8MB)

(7MB)

Machine Learning for Flow Cytometry Data Analysis.

Lee, Gyemin (2011)

(1.7MB)

Machine Learning for Healthcare: Model Development and Implementation in Longitudinal Settings

Otles, Erkin (2024)

(8.7MB)

Machine learning for heterogeneous catalyst design and discovery

Goldsmith, Bryan R.; Esterhuizen, Jacques; Liu, Jin‐xun; Bartel, Christopher J.; Sutton, Christopher (John Wiley & Sons, 2018-07)

(565.9KB)

(862.1KB)

Machine Learning for Identification and Optimal Control of Advanced Automotive Engines.

Janakiraman, Vijay Manikandan (2013)

(5.1MB)

Machine Learning for Physiological Time Series: Representing and Controlling Blood Glucose for Diabetes Management

Fox, Ian (2020)

(3.4MB)

Machine Learning for Predicting Price Movements of Stocks

Koneru, Adityasai (2022)

(2.3MB)

(2.2MB)

Machine learning for radiation outcome modeling and prediction

Luo, Yi; Chen, Shifeng; Valdes, Gilmer (Wiley Periodicals, Inc.CRC Press, 2020-06)

(323.2KB)

(442.6KB)

Machine Learning Guided Drug Discovery: Comprehensive Application in Janus Kinase Inhibitor Design

Bu, Yingzi (2023)

(42.5MB)

Machine Learning in Adversarial Environments

Xiao, Chaowei (2020)

(11MB)

Machine learning in genome-wide association studies

Szymczak, Silke; Biernacka, Joanna M.; Cordell, Heather J.; González-Recio, Oscar; König, Inke R.; Zhang, Heping; Sun, Yan V. (Wiley Subscription Services, Inc., A Wiley Company, 2009)

(107.9KB)

Machine Learning Methods for Data-Driven Turbulence Modeling

Zhang, Ze Jia; Duraisamy, Karthikeyan (American Institute of Aeronautics and Astronautics, 2015-06-18)

(9.7MB)

Machine Learning Methods for Magnetic Resonance Imaging Analysis.

Guo, Cen (2012)

(2.9MB)

Machine Learning Methods for Mood Prediction Using Data from Smartphones and Wearables

Shi, Mengjie (2018-08)

(366.3KB)

Machine Learning Procedures for Generating Image Domain Feature Detectors.

Gillies, Andrew McGilvary (1985)

(4.1MB)

Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models

Ming, Chang; Viassolo, Valeria; Probst-Hensch, Nicole; Chappuis, Pierre O.; Dinov, Ivo D.; Katapodi, Maria C. (2019-06-20)

(777KB)

Machine Learning to Predict Anti–Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers

Guan, Yuanfang; Zhang, Hongjiu; Quang, Daniel; Wang, Ziyan; Parker, Stephen C. J.; Pappas, Dimitrios A.; Kremer, Joel M.; Zhu, Fan (Wiley Periodicals, Inc.MIT Press, 2019-12)

(578.3KB)

(1.1MB)

(860.6KB)

Machine Learning, Human Factors and Security Analysis for the Remote Command of Driving: An MCity Pilot

Lasecki, Walter; Hampshire, Robert; Bao, Shan; Chung, John J. Y.; O'Keefe, Stephanie D.; Song, Jean Y. (University of Michigan, Ann Arbor, Transportation Research Institute, 2020-08)

(644.2KB)

Machine learning-based identification and rule-based normalization of adverse drug reactions in drug labels

Tiftikci, Mert; Özgür, Arzucan; He, Yongqun; Hur, Junguk (2019-12-23)

(1022KB)

Machine mechanical characteristics and their influences on resistance spot welding quality.

Tang, He (2000)

(4.8MB)