Time-Lapse Super-Resolution Imaging and Optical Manipulation of Growth Cones in Elongating Axons and Migrating Neurons. [PDF]
Sawada M +11 more
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Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA
Kotthoff, L. +4 more
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BEACH-Gaze: Supporting Descriptive and Predictive Gaze Analytics in the Era of Artificial Intelligence and Advanced Data Science. [PDF]
Fu B +6 more
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Investigation of Ensemble Machine Learning Models for Estimating the Ultimate Strain of FRP-Confined Concrete Columns. [PDF]
Nguyen QT +5 more
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Cost-Efficient RSSI-Based Indoor Proximity Positioning, for Large/Complex Museum Exhibition Spaces. [PDF]
Philippopoulos PI +7 more
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Prediction of Friction and Wear Behavior of Ternary Polycarbonate-Poly(Butylene Terephthalate)/Multiwalled Carbon Nanotubes Polymer Nanocomposites Using Feature Engineering Assisted Machine Learning Algorithms. [PDF]
Öge M.
europepmc +1 more source
A user-friendly machine learning approach for cardiac structures assessment. [PDF]
Orhan A +4 more
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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting. [PDF]
Endebu T, Taye G, Deressa W.
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More than twelve years have elapsed since the first public release of WEKA. In that time, the software has been rewritten entirely from scratch, evolved substantially and now accompanies a text on data mining [35]. These days, WEKA enjoys widespread acceptance in both academia and business, has an active community, and has been downloaded more than 1.4
Eibe Frank +2 more
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