A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations

Last update: Feb 08, 2022

Overview

Code and supplemental materials for Karduni et al., 2020 IEEE Vis. "A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations" Arxiv preprint

Bayesian Cognitive Modeling

How to Cite

If you this work inspires your research, please cite the following paper:

Karduni et al. "A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations." IEEE Transactions on Visualization and Computer Graphics. IEEE, 2020.

@article{karduni2020bayesian,
  title={A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations},
  author={Karduni, Alireza and Markant, Douglas and Wesslen, Ryan and Dou, Wenwen},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  volume={27},
  number={2},
  pages={978--988},
  year={2020},
  publisher={IEEE}
}

Owner

Ryan Wesslen

Data scientist | HCI/Vis researcher | computational social scientist

GitHub Repository

ivadomed is an integrated framework for medical image analysis with deep learning.

Repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.

144 Dec 19, 2022

Baseline of DCASE 2020 task 4

Couple Learning for SED This repository provides the data and source code for sound event detection (SED) task. The improvement of the Couple Learning

21 Oct 18, 2022

A framework for analyzing computer vision models with simulated data

3DB: A framework for analyzing computer vision models with simulated data Paper Quickstart guide Blog post Installation Follow instructions on: https:

112 Jan 01, 2023

Charsiu: A transformer-based phonetic aligner

Charsiu: A transformer-based phonetic aligner [arXiv] Note. This is a preview version. The aligner is under active development. New functions, new lan

166 Dec 09, 2022

Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image (ICCV 2021)

Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color

75 Dec 02, 2022

Scheme for training and applying a label propagation framework

Factorisation-based Image Labelling Overview This is a scheme for training and applying the factorisation-based image labelling (FIL) framework. Some

2 Dec 17, 2021

Auto grind btdb2 exp for tower

Bloons TD Battles 2 EXP Grinder Auto grind btdb2 exp for towers Setup I suggest checking out every screenshot to see what they are supposed to be, so

6 Jul 29, 2022

This is a custom made virus code in python, using tkinter module.

skeleterrorBetaV0.1-Virus-code This is a custom made virus code in python, using tkinter module. This virus is not harmful to the computer, it only ma

0 Nov 21, 2022

Simple STAC Catalogs discovery tool.

STAC Catalog Discovery Simple STAC discovery tool. Just paste the STAC Catalog link and press Enter. Details STAC Discovery tool enables discovering d

21 Oct 19, 2022

[CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration"

MDCA Calibration This is the official PyTorch implementation for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved

21 Dec 22, 2022

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation(DANN), support Office-31 and Office-Home dataset

DANN A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation Prerequisites Linux or OSX NVIDIA GPU + CUDA (may CuDNN) and corre

8 Apr 16, 2022

Framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample resolution

Sample-specific Bayesian Networks A framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample or per-patient re

1 Sep 23, 2022

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

SinGAN Project | Arxiv | CVF | Supplementary materials | Talk (ICCV`19) Official pytorch implementation of the paper: "SinGAN: Learning a Generative M

3.2k Dec 25, 2022

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving This is the source code for our paper Frequency Domain Image Tran

52 Dec 23, 2022

Meta-learning for NLP

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks Code for training the meta-learning models and fine-tuning on downstr

43 Nov 08, 2022

These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"

Few-shot-NLEs These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations". You can find the smal

0 Oct 21, 2022

Federated Learning - Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser

Federated_Learning 💻 This projest include common test models for federated lear

10 Dec 11, 2022

A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations

Related tags

Overview

Overview

Bayesian Cognitive Modeling

How to Cite

Owner

Ryan Wesslen

ivadomed is an integrated framework for medical image analysis with deep learning.

Baseline of DCASE 2020 task 4

A framework for analyzing computer vision models with simulated data

Charsiu: A transformer-based phonetic aligner

Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image (ICCV 2021)

Scheme for training and applying a label propagation framework

Auto grind btdb2 exp for tower

This is a custom made virus code in python, using tkinter module.

Simple STAC Catalogs discovery tool.

[CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration"

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation(DANN), support Office-31 and Office-Home dataset

Framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample resolution

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving

Meta-learning for NLP

These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"

Federated Learning - Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser

Official page of Patchwork (RA-L'21 w/ IROS'21)

Local-Global Stratified Transformer for Efficient Video Recognition

Application of the L2HMC algorithm to simulations in lattice QCD.