Picture for Homayun Afrabandpey

Homayun Afrabandpey

Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints

Add code
Oct 12, 2022
Figure 1 for Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints
Figure 2 for Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints
Figure 3 for Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints
Viaarxiv icon

Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach

Add code
Oct 21, 2019
Figure 1 for Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach
Figure 2 for Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach
Figure 3 for Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach
Figure 4 for Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach
Viaarxiv icon

Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets

Add code
Mar 18, 2019
Figure 1 for Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
Figure 2 for Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
Figure 3 for Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
Figure 4 for Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
Viaarxiv icon

Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation

Add code
May 09, 2017
Figure 1 for Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation
Figure 2 for Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation
Figure 3 for Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation
Figure 4 for Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation
Viaarxiv icon

Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction

Add code
Feb 28, 2017
Figure 1 for Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction
Figure 2 for Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction
Figure 3 for Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction
Viaarxiv icon

An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition

Add code
Feb 25, 2017
Figure 1 for An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition
Figure 2 for An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition
Figure 3 for An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition
Figure 4 for An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition
Viaarxiv icon

Fuzzy Least Squares Twin Support Vector Machines

Add code
Jul 22, 2016
Figure 1 for Fuzzy Least Squares Twin Support Vector Machines
Figure 2 for Fuzzy Least Squares Twin Support Vector Machines
Figure 3 for Fuzzy Least Squares Twin Support Vector Machines
Figure 4 for Fuzzy Least Squares Twin Support Vector Machines
Viaarxiv icon

Visualizations Relevant to The User By Multi-View Latent Variable Factorization

Add code
Jan 25, 2016
Figure 1 for Visualizations Relevant to The User By Multi-View Latent Variable Factorization
Figure 2 for Visualizations Relevant to The User By Multi-View Latent Variable Factorization
Figure 3 for Visualizations Relevant to The User By Multi-View Latent Variable Factorization
Figure 4 for Visualizations Relevant to The User By Multi-View Latent Variable Factorization
Viaarxiv icon