Nathan Brown

According to our database1, Nathan Brown authored at least 26 papers between 2003 and 2021.

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Timeline

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Bibliography

2021
Twig: Profile-Guided BTB Prefetching for Data Center Applications.
Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020
Data Set Augmentation Allows Deep Learning-Based Virtual Screening to Better Generalize to Unseen Target Classes and Highlight Important Binding Interactions.
J. Chem. Inf. Model., 2020

Artificial intelligence in chemistry and drug design.
J. Comput. Aided Mol. Des., 2020

2019
Enhancing plant biosecurity with citizen science monitoring: comparing methodologies using reports of acute oak decline.
J. Geogr. Syst., 2019

GuacaMol: Benchmarking Models for de Novo Molecular Design.
J. Chem. Inf. Model., 2019

Identifying Patients with Pain in Emergency Departments using Conventional Machine Learning and Deep Learning.
Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

2018
Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Applications of Systematic Molecular Scaffold Enumeration to Enrich Structure-Activity Relationship Information.
J. Chem. Inf. Model., 2017

2016
Mapping the 3D structures of small molecule binding sites.
J. Cheminformatics, 2016

2015
MOARF, an Integrated Workflow for Multiobjective Optimization: Implementation, Synthesis, and Biological Evaluation.
J. Chem. Inf. Model., 2015

Helping Members of the Community Manage Their Digital Lives: Developing a Personal Digital Archiving Workshop.
D Lib Mag., 2015

2014
EnergyPlus as a forensic tool: Thermal reconstruction of a crime scene using calibrated simulation.
Simul., 2014

Increasing the Coverage of Medicinal Chemistry-Relevant Space in Commercial Fragments Screening.
J. Chem. Inf. Model., 2014

Best of Both Worlds: On the Complementarity of Ligand-Based and Structure-Based Virtual Screening.
J. Chem. Inf. Model., 2014

2013
Scaffold-Focused Virtual Screening: Prospective Application to the Discovery of TTK Inhibitors.
J. Chem. Inf. Model., 2013

Exploring Discriminatory Features for Automated Malware Classification.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2013

2012
Plane of Best Fit: A Novel Method to Characterize the Three-Dimensionality of Molecules.
J. Chem. Inf. Model., 2012

2011
Scaffold Diversity of Exemplified Medicinal Chemistry Space.
J. Chem. Inf. Model., 2011

2009
Chemoinformatics - an introduction for computer scientists.
ACM Comput. Surv., 2009

2007
Clustering and Rule-Based Classifications of Chemical Structures Evaluated in the Biological Activity Space.
J. Chem. Inf. Model., 2007

2006
Relationships between Molecular Complexity, Biological Activity, and Structural Diversity.
J. Chem. Inf. Model., 2006

Introducing the Consensus Modeling Concept in Genetic Algorithms: Application to Interpretable Discriminant Analysis.
J. Chem. Inf. Model., 2006

A novel workflow for the inverse QSPR problem using multiobjective optimization.
J. Comput. Aided Mol. Des., 2006

2004
A Graph-Based Genetic Algorithm and Its Application to the Multiobjective Evolution of Median Molecules.
J. Chem. Inf. Model., 2004

The de novo design of median molecules within a property range of interest.
J. Comput. Aided Mol. Des., 2004

2003
Generation and Display of Activity-Weighted Chemical Hyperstructures.
J. Chem. Inf. Comput. Sci., 2003


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