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08/23/2023
Predicting Drug Solubility Using Different Machine Learning Methods – Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network
Predicting the solubility of given molecules is an important task in the...
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04/17/2022
Monte Carlo Tree Search for Interpreting Stress in Natural Language
Natural language processing can facilitate the analysis of a person's me...
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05/27/2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
Selecting input features of top relevance has become a popular method fo...
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05/20/2020
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction
Uncertainty quantification (UQ) is an important component of molecular p...
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02/11/2020
Improving Molecular Design by Stochastic Iterative Target Augmentation
Generative models in molecular design tend to be richly parameterized, d...
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09/10/2019
Deep Learning for Automated Classification and Characterization of Amorphous Materials
It is difficult to quantify structure-property relationships and to iden...
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06/07/2019
Building a Production Model for Retrieval-Based Chatbots
Response suggestion is an important task for building human-computer con...
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04/02/2019
