Picture for Kar Wai Lim

Kar Wai Lim

Explaining Chemical Toxicity using Missing Features

Add code
Sep 23, 2020
Figure 1 for Explaining Chemical Toxicity using Missing Features
Figure 2 for Explaining Chemical Toxicity using Missing Features
Figure 3 for Explaining Chemical Toxicity using Missing Features
Figure 4 for Explaining Chemical Toxicity using Missing Features
Viaarxiv icon

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

Add code
Apr 02, 2020
Figure 1 for Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Figure 2 for Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Figure 3 for Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Figure 4 for Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Viaarxiv icon

GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

Add code
Mar 15, 2019
Figure 1 for GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Figure 2 for GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Figure 3 for GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Figure 4 for GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Viaarxiv icon

Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays

Add code
Mar 13, 2018
Figure 1 for Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays
Figure 2 for Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays
Figure 3 for Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays
Figure 4 for Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays
Viaarxiv icon

Hawkes Processes with Stochastic Excitations

Add code
Sep 22, 2016
Figure 1 for Hawkes Processes with Stochastic Excitations
Figure 2 for Hawkes Processes with Stochastic Excitations
Viaarxiv icon

Bibliographic Analysis with the Citation Network Topic Model

Add code
Sep 22, 2016
Figure 1 for Bibliographic Analysis with the Citation Network Topic Model
Figure 2 for Bibliographic Analysis with the Citation Network Topic Model
Figure 3 for Bibliographic Analysis with the Citation Network Topic Model
Figure 4 for Bibliographic Analysis with the Citation Network Topic Model
Viaarxiv icon

Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling

Add code
Sep 22, 2016
Figure 1 for Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling
Figure 2 for Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling
Figure 3 for Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling
Figure 4 for Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling
Viaarxiv icon

Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes

Add code
Sep 22, 2016
Figure 1 for Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes
Figure 2 for Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes
Figure 3 for Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes
Figure 4 for Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes
Viaarxiv icon

Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon

Add code
Sep 21, 2016
Figure 1 for Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon
Figure 2 for Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon
Figure 3 for Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon
Figure 4 for Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon
Viaarxiv icon

Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network

Add code
Sep 21, 2016
Figure 1 for Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network
Figure 2 for Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network
Figure 3 for Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network
Figure 4 for Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network
Viaarxiv icon