Results 21 to 30 of about 283,560 (267)
Cascade2vec: Learning Dynamic Cascade Representation by Recurrent Graph Neural Networks
IEEE Access, 2019 An information dissemination network (i.e., a cascade) with a dynamic graph structure is formed when a novel idea or message spreads from person to person.
Zhenhua Huang, Zhenyu Wang, Rui Zhang
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Do individuals recognize cascade behavior of others? An Experimental Study [PDF]
, 2006 In an information cascade experiment participants are confronted with artificial predecessors predicting in line with the BHW model (Bikchandani et al., 1992).
Grebe, Tim +2 more
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Cascaded Scene Flow Prediction Using Semantic Segmentation [PDF]
2017 International Conference on 3D Vision (3DV), 2017 Given two consecutive frames from a pair of stereo cameras, 3D scene flow methods simultaneously estimate the 3D geometry and motion of the observed scene. Many existing approaches use superpixels for regularization, but may predict inconsistent shapes and motions inside rigidly moving objects.
Ren, Zhile +3 more
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Influence of nuclear de-excitation on observables relevant for space exploration [PDF]
, 2010 The composition of the space radiation environment inside spacecrafts is modified by the interaction with shielding material, with equipment and even with the astronauts' bodies.
Alain Boudard +19 more
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CNNcon: improved protein contact maps prediction using cascaded neural networks. [PDF]
PLoS ONE, 2013 BACKGROUNDS: Despite continuing progress in X-ray crystallography and high-field NMR spectroscopy for determination of three-dimensional protein structures, the number of unsolved and newly discovered sequences grows much faster than that of determined ...
Wang Ding +5 more
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LGBMDF: A cascade forest framework with LightGBM for predicting drug-target interactions
Frontiers in Microbiology, 2023 Prediction of drug-target interactions (DTIs) plays an important role in drug development. However, traditional laboratory methods to determine DTIs require a lot of time and capital costs.
Yu Peng +4 more
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One-dimensional hydrodynamic model generating a turbulent cascade [PDF]
, 2016 As a minimal mathematical model generating cascade analogous to that of the Navier-Stokes turbulence in the inertial range, we propose a one-dimensional partial-differential-equation model that conserves the integral of the squared vorticity analogue ...
Matsumoto, Takeshi, Sakajo, Takashi
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A comparison of methods for cascade prediction [PDF]
2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016 8 pages, 29 figures, ASONAM 2016 (Industry Track)
Guo, Ruocheng, Shakarian, Paulo
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From Micro to Macro: Uncovering and Predicting Information Cascading Process with Behavioral Dynamics [PDF]
, 2015 Cascades are ubiquitous in various network environments. How to predict these cascades is highly nontrivial in several vital applications, such as viral marketing, epidemic prevention and traffic management. Most previous works mainly focus on predicting
Cui, Peng +4 more
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Sensors, 2020 Landslide susceptibility prediction (LSP) modeling is an important and challenging problem. Landslide features are generally uncorrelated or nonlinearly correlated, resulting in limited LSP performance when leveraging conventional machine learning models.
Li Zhu +7 more
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