Cortical mapping of fraction of significant voxels. by Satoshi Nishida (690175)

Comparison of the fraction of significant voxels between original and control word vector-based models. by Satoshi Nishida (690175)

Consistency of inter-regional patterns of significant-voxel fraction for fastText vectors across vector dimensionality and across movie sets. by Satoshi Nishida (690175)

“…<p>As in the case of the mean prediction accuracy (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009138#pcbi.1009138.s031" target="_blank">S4 Table</a>), the inter-regional patterns of significant-voxel fraction of fastText vector-based models (Figs <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009138#pcbi.1009138.g005" target="_blank">5</a> and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009138#pcbi.1009138.s011" target="_blank">S11</a>) were compared between arbitrary pairs of vector dimensionality and movie sets. …”

NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

Cortical mapping of the fraction of significant voxels for other dimensions of GloVe vectors. by Satoshi Nishida (690175)

Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors. by Satoshi Nishida (690175)

“…<p>The mean fraction of significant voxels in each brain region for fastText vector-based models was mapped onto the cortical surface (<b>A</b>, vector dimension = 100; <b>B</b>, 300; <b>C</b>, 500; <b>D</b>, 2000). …”

Consistency of inter-regional patterns of significant-voxel fraction for GloVe vectors. by Satoshi Nishida (690175)

Consistency of inter-regional patterns of significant-voxel fraction for word2vec vectors. by Satoshi Nishida (690175)

Cortical mapping of the fraction of significant voxels for other dimensions of word2vec vectors. by Satoshi Nishida (690175)

Cortical mapping of the fraction of significant voxels for binary-labeling models. by Satoshi Nishida (690175)

Cortical regions with the highest mean fraction of significant voxels for each of the other dimensional fastText vectors. by Satoshi Nishida (690175)

Cortical regions with the highest mean fraction of significant voxels for each of the other dimensional GloVe vectors. by Satoshi Nishida (690175)

Charging station placement optimization based on the location significance prediction by Daria Matkovic (19539339)

“…Subsequently, we introduced the modified support vector regression (SVR) model for significance prediction and compared it with eight existing models showing its superiority over others. …”

Cortical regions with the highest mean fraction of significant voxels for each type of word vectors and for each movie set. by Satoshi Nishida (690175)

Cortical regions with the highest mean fraction of significant voxels for each of the other dimensional word2vec vectors. by Satoshi Nishida (690175)

Cortical regions with the highest mean fraction of significant voxels for each of 1000- and 2000-dimensional binary-labeling models. by Satoshi Nishida (690175)

The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

Conceptual algorithm of bee direction vector estimation based on segmentation. by Tomyslav Sledevič (20783469)

The distribution of the distances measured by vector angles between vector representations. by Mingming Li (502877)