Jacqueline M. Cole

Orcid: 0000-0002-1552-8743

According to our database1, Jacqueline M. Cole authored at least 21 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural Networks.
J. Chem. Inf. Model., March, 2024

Automatic Prediction of Band Gaps of Inorganic Materials Using a Gradient Boosted and Statistical Feature Selection Workflow.
J. Chem. Inf. Model., February, 2024

How Beneficial Is Pretraining on a Narrow Domain-Specific Corpus for Information Extraction about Photocatalytic Water Splitting?
J. Chem. Inf. Model., 2024

Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop.
Int. J. Inf. Manag., 2024

Snowball 2.0: Generic Material Data Parser for ChemDataExtractor.
J. Chem. Inf. Model., November, 2023

ReactionDataExtractor 2.0: A Deep Learning Approach for Data Extraction from Chemical Reaction Schemes.
J. Chem. Inf. Model., October, 2023

OpticalBERT and OpticalTable-SQA: Text- and Table-Based Language Models for the Optical-Materials Domain.
J. Chem. Inf. Model., April, 2023

PDFDataExtractor: A Tool for Reading Scientific Text and Interpreting Metadata from the Typeset Literature in the Portable Document Format.
J. Chem. Inf. Model., 2022

Reconstructing Chromatic-Dispersion Relations and Predicting Refractive Indices Using Text Mining and Machine Learning.
J. Chem. Inf. Model., 2022

Single Model for Organic and Inorganic Chemical Named Entity Recognition in ChemDataExtractor.
J. Chem. Inf. Model., 2022

BatteryBERT: A Pretrained Language Model for Battery Database Enhancement.
J. Chem. Inf. Model., 2022

Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification.
J. Chem. Inf. Model., 2021

ReactionDataExtractor: A Tool for Automated Extraction of Information from Chemical Reaction Schemes.
J. Chem. Inf. Model., 2021

ChemDataExtractor 2.0: Autopopulated Ontologies for Materials Science.
J. Chem. Inf. Model., 2021

ImageDataExtractor: A Tool To Extract and Quantify Data from Microscopy Images.
J. Chem. Inf. Model., 2020

3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning.
J. Chem. Inf. Model., 2020

Enumerating Intramolecular Charge Transfer in Conjugated Organic Compounds.
J. Chem. Inf. Model., 2020

ChemSchematicResolver: A Toolkit to Decode 2D Chemical Diagrams with Labels and R-Groups into Annotated Chemical Named Entities.
J. Chem. Inf. Model., 2020

Data-Driven Molecular Engineering of Solar-Powered Windows.
Comput. Sci. Eng., 2018

ChemDataExtractor: A Toolkit for Automated Extraction of Chemical Information from the Scientific Literature.
J. Chem. Inf. Model., 2016

Systematic Prediction of Dyes for Dye-Sensitized Solar Cells: Data Mining via Molecular Charge-Transfer Algorithms.
Complex Syst., 2011