NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization
Simulation

NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation

19 April 2019

Subhashis Hazarika

Han-Wei Shen

Ching-Shan Chou

Papers citing "NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation"

9 / 9 papers shown

Title
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration Yi-Tang Chen Haoyu Li Neng Shi Xihaier Luo Wei-ping Xu Han-Wei Shen 44 0 0 01 Apr 2025
Data Type Agnostic Visual Sensitivity Analysis Nikolaus Piccolotto M. Bögl C. Muehlmann K. Nordhausen Peter Filzmoser Johanna Schmidt Silvia Miksch 31 0 0 07 Sep 2023
Neural Stream Functions Skylar W. Wurster Hanqi Guo Tom Peterka Han-Wei Shen 24 0 0 16 Jul 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations Neng Shi Jiayi Xu Haoyu Li Hanqi Guo J. Woodring Han-Wei Shen 28 18 0 25 Jul 2022
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations Neng Shi Jiayi Xu Skylar W. Wurster Hanqi Guo J. Woodring L. V. Roekel Han-Wei Shen AI4TS AI4CE 34 32 0 18 Feb 2022
Visual Parameter Selection for Spatial Blind Source Separation Nikolaus Piccolotto M. Bögl C. Muehlmann K. Nordhausen Peter Filzmoser Silvia Miksch 14 7 0 16 Dec 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015