Nathan Brown

38 papers A* 3B 1Journal 30Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Creating a biologically more accurate spider robot to study active vibration sensing.
CoRR
Siyuan Sun, Eugene H. Lin, Nathan Brown, Hsin-Yi Hung, Andrew Gordus, Jochen Mueller, Chen Li
2026 A* conf
Out of Emergency: How Doctors Navigate Jurisdictional Seams in Emergency Care Referrals.
CHI
Aloha Hufana Ambe, Isaac Salisbury, Tobias Grundgeiger, Daniel Bodnar, Sean Rothwell, Nathan Brown, Ben Matthews
2026 J jnl
PDPL Metric: Validating a Scale to Measure Personal Data Privacy Literacy Among University Students.
CoRR
Brady D. Lund, Nathan Brown, Ana Roeschley, Gahangir Hossain
2025 J jnl
A Survey of AI Methods for Geometry Preparation and Mesh Generation in Engineering Simulation.
CoRR
Steven Owen, Nathan Brown, Nikos Chrisochoides, Rao V. Garimella, Xianfeng Gu, Franck Ledoux, Na Lei, William Roshan Quadros, Navamita Ray, Nicolas Winovich, Yongjie Jessica Zhang
2025 A* conf
Patient Handover in the Emergency Department Is Not Just a Point Event: Insights for Designing Information Support Tools.
CHI
Aloha Hufana Ambe, Isaac Salisbury, Tobias Grundgeiger, Daniel Bodnar, Sean Rothwell, Nathan Brown, Penelope Sanderson, Ben Matthews
2025 — conf
Pula: Training Large Language Models for Setswana.
NAACL (Long Papers)
Nathan Brown, Vukosi Marivate
2025 J jnl
Unlocking plant health survey data: An approach to quantify the sensitivity and specificity of visual inspections.
PLoS Comput. Biol.
Matt Combes, Nathan Brown, Robin N. Thompson, Alexander J. Mastin, Peter Crow, Stephen Parnell
2024 J jnl
BOTS-LM: Training Large Language Models for Setswana.
CoRR
Nathan Brown, Vukosi Marivate
2023 J jnl
A Small Step Toward Generalizability: Training a Machine Learning Scoring Function for Structure-Based Virtual Screening.
J. Chem. Inf. Model.
Jack Scantlebury, Lucy Vost, Anna Carbery, Thomas E. Hadfield, Oliver M. Turnbull, Nathan Brown, Vijil Chenthamarakshan, Payel Das, Harold Grosjean, Frank von Delft, Charlotte M. Deane
2023 — conf
Efficient Transformer Knowledge Distillation: A Performance Review.
EMNLP (Industry Track)
Nathan Brown, Ashton Williamson, Tahj Anderson, Logan Lawrence
2023 J jnl
Efficient Transformer Knowledge Distillation: A Performance Review.
CoRR
Nathan Brown, Ashton Williamson, Tahj Anderson, Logan Lawrence
2023 — conf
Optimization Strategies of Architecture and Engineering Graduate Students: Responding to Data During Design.
CAAD Futures
Stephanie Bunt, Catherine Berdanier, Nathan Brown
2021 A* conf
Twig: Profile-Guided BTB Prefetching for Data Center Applications.
MICRO
Tanvir Ahmed Khan, Nathan Brown, Akshitha Sriraman, Niranjan K. Soundararajan, Rakesh Kumar, Joseph Devietti, Sreenivas Subramoney, Gilles A. Pokam, Heiner Litz, Baris Kasikci
2020 J jnl
Artificial intelligence in chemistry and drug design.
J. Comput. Aided Mol. Des.
Nathan Brown, Peter Ertl, Richard A. Lewis, Torsten Luksch, Daniel Reker, Nadine Schneider
2020 J jnl
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.
Jack Scantlebury, Nathan Brown, Frank von Delft, Charlotte M. Deane
2019 J jnl
Enhancing plant biosecurity with citizen science monitoring: comparing methodologies using reports of acute oak decline.
J. Geogr. Syst.
Emily Baker, M. J. Jeger, John D. Mumford, Nathan Brown
2019 J jnl
GuacaMol: Benchmarking Models for de Novo Molecular Design.
J. Chem. Inf. Model.
Nathan Brown, Marco Fiscato, Marwin H. S. Segler, Alain C. Vaucher
2018 — conf
Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design.
ICLR (Workshop)
Daniel Neil, Marwin H. S. Segler, Laura Guasch, Mohamed Ahmed, Dean Plumbley, Matthew Sellwood, Nathan Brown
2018 J jnl
GuacaMol: Benchmarking Models for De Novo Molecular Design.
CoRR
Nathan Brown, Marco Fiscato, Marwin H. S. Segler, Alain C. Vaucher
2017 J jnl
Applications of Systematic Molecular Scaffold Enumeration to Enrich Structure-Activity Relationship Information.
J. Chem. Inf. Model.
N. Yi Mok, Nathan Brown
2016 J jnl
Mapping the 3D structures of small molecule binding sites.
J. Cheminformatics
Joshua Meyers, Nathan Brown, Julian Blagg
2015 J jnl
Helping Members of the Community Manage Their Digital Lives: Developing a Personal Digital Archiving Workshop.
D Lib Mag.
Nathan Brown
2015 J jnl
MOARF, an Integrated Workflow for Multiobjective Optimization: Implementation, Synthesis, and Biological Evaluation.
J. Chem. Inf. Model.
Nicholas C. Firth, Butrus Atrash, Nathan Brown, Julian Blagg
2014 J jnl
Best of Both Worlds: On the Complementarity of Ligand-Based and Structure-Based Virtual Screening.
J. Chem. Inf. Model.
Fabio Broccatelli, Nathan Brown
2014 J jnl
EnergyPlus as a forensic tool: Thermal reconstruction of a crime scene using calibrated simulation.
Simul.
Nathan Brown, M. Susan Ubbelohde, George Loisos, Santosh Philip, Ibone Santiago
2014 J jnl
Increasing the Coverage of Medicinal Chemistry-Relevant Space in Commercial Fragments Screening.
J. Chem. Inf. Model.
N. Yi Mok, Ruth Brenk, Nathan Brown
2013 B conf
Exploring Discriminatory Features for Automated Malware Classification.
DIMVA
Guanhua Yan, Nathan Brown, Deguang Kong
2013 J jnl
Scaffold-Focused Virtual Screening: Prospective Application to the Discovery of TTK Inhibitors.
J. Chem. Inf. Model.
Sarah R. Langdon, Isaac M. Westwood, Rob L. M. van Montfort, Nathan Brown, Julian Blagg
2012 J jnl
Plane of Best Fit: A Novel Method to Characterize the Three-Dimensionality of Molecules.
J. Chem. Inf. Model.
Nicholas C. Firth, Nathan Brown, Julian Blagg
2011 J jnl
Scaffold Diversity of Exemplified Medicinal Chemistry Space.
J. Chem. Inf. Model.
Sarah R. Langdon, Nathan Brown, Julian Blagg
2009 J jnl
Chemoinformatics - an introduction for computer scientists.
ACM Comput. Surv.
Nathan Brown
2007 J jnl
Clustering and Rule-Based Classifications of Chemical Structures Evaluated in the Biological Activity Space.
J. Chem. Inf. Model.
Ansgar Schuffenhauer, Nathan Brown, Peter Ertl, Jeremy L. Jenkins, Paul Selzer, Jacques Hamon
2006 J jnl
A novel workflow for the inverse QSPR problem using multiobjective optimization.
J. Comput. Aided Mol. Des.
Nathan Brown, Ben McKay, Johann Gasteiger
2006 J jnl
Introducing the Consensus Modeling Concept in Genetic Algorithms: Application to Interpretable Discriminant Analysis.
J. Chem. Inf. Model.
Milan Ganguly, Nathan Brown, Ansgar Schuffenhauer, Peter Ertl, Valerie J. Gillet, Paulette A. Greenidge
2006 J jnl
Relationships between Molecular Complexity, Biological Activity, and Structural Diversity.
J. Chem. Inf. Model.
Ansgar Schuffenhauer, Nathan Brown, Paul Selzer, Peter Ertl, Edgar Jacoby
2004 J jnl
A Graph-Based Genetic Algorithm and Its Application to the Multiobjective Evolution of Median Molecules.
J. Chem. Inf. Model.
Nathan Brown, Ben McKay, François Gilardoni, Johann Gasteiger
2004 J jnl
The de novo design of median molecules within a property range of interest.
J. Comput. Aided Mol. Des.
Nathan Brown, Ben McKay, Johann Gasteiger
2003 J jnl
Generation and Display of Activity-Weighted Chemical Hyperstructures.
J. Chem. Inf. Comput. Sci.
Nathan Brown, Peter Willett, David J. Wilton, Richard A. Lewis