F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. حسب Liyan Sun (760586)

الموضوعات:

Part of genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. حسب Liyan Sun (760586)

الموضوعات:

Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset. حسب Liyan Sun (760586)

الموضوعات:

The penetrance tables for the 8 DNME models. حسب Liyan Sun (760586)

الموضوعات:

Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. حسب Liyan Sun (760586)

الموضوعات:

Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. حسب Liyan Sun (760586)

الموضوعات:

The penetrance tables for the 8 DME models. حسب Liyan Sun (760586)

الموضوعات:

F-measure comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. حسب Liyan Sun (760586)

الموضوعات:

The penetrance tables for the 6 DNME3 models. حسب Liyan Sun (760586)

الموضوعات:

Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. حسب Liyan Sun (760586)

الموضوعات:

F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. حسب Liyan Sun (760586)

الموضوعات:

Part of epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). حسب Liyan Sun (760586)

الموضوعات:

Dialogue Propositional Content Replacement (DPCR) code حسب Jacopo Amidei (10511297)

"…The comparison is between original human-human debate snippets, snippets generated with an IAT-compliant algorithm and snippets produced with ablated versions of the algorithm. …"

Fast Nonlinear Finite Element Elastodynamics Integrated withMolecular Dynamics for Multiscale Modeling حسب Matthew Deutsch (21077477)

"…<p dir="ltr">We present a GPU-enabled non-linear finite element method (FEM) elastodynamics algorithm, integrated with the HOOMD-blue open source molecular dynamics package, to enable multiscale modeling. …"

Collaborative Research: Elements: A task-based code for multiphysics problems in astrophysics at exascale حسب Nils Deppe (19460062)

The architecture of the SE-multi-input CNN model. حسب Bin Zheng (45359)

"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"

Confusion matrix for the Multi-input CNN model. حسب Bin Zheng (45359)

"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"

Confusion matrix for the Multi-input CNN model. حسب Bin Zheng (45359)

"…In this work, we propose a novel arrhythmia classification algorithm based on a multi-input convolutional neural network (CNN) enhanced with a Squeeze-and-Excitation (SE) attention mechanism. …"

Source code for data mining from Apache JIRA project. حسب Susmita Haldar (17707125)

The solid material attributes. حسب Xiaogang Li (299205)

"…Acoustic coatings with multi-layers of periodic solid inclusions are proposed and investigated for broadband sound absorption. …"