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09/23/2020
Explaining Chemical Toxicity using Missing Features
Chemical toxicity prediction using machine learning is important in drug...
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04/02/2020
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
The recent COVID-19 pandemic has highlighted the need for rapid therapeu...
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03/15/2019
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
This paper looks into the problem of detecting network anomalies by anal...
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03/13/2018
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays
We propose a simulation method for multidimensional Hawkes processes bas...
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09/22/2016
Hawkes Processes with Stochastic Excitations
We propose an extension to Hawkes processes by treating the levels of se...
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09/22/2016
Bibliographic Analysis with the Citation Network Topic Model
Bibliographic analysis considers author's research areas, the citation n...
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09/22/2016
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes
The Dirichlet process and its extension, the Pitman-Yor process, are sto...
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09/21/2016