Chris J. Lintott

Orcid: 0000-0001-5578-359X

Affiliations:
  • University of Oxford, UK
  • University College London, UK (PhD 2006)


According to our database1, Chris J. Lintott authored at least 26 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
The weird and the wonderful in our Solar System: Searching for serendipity in the Legacy Survey of Space and Time.
CoRR, 2024

2023
Zoobot: Adaptable Deep Learning Models for Galaxy Morphology.
J. Open Source Softw., July, 2023

2022
Discovering Long-period Exoplanets using Deep Learning with Citizen Science Labels.
CoRR, 2022

A new Workflow for Human-AI Collaboration in Citizen Science.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

2021
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning.
CoRR, 2021

Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314, 000 Galaxies.
CoRR, 2021

2020
LATTE: Lightcurve Analysis Tool for Transiting Exoplanets.
J. Open Source Softw., 2020

2019
Help Me to Help You: Machine Augmented Citizen Science.
ACM Trans. Soc. Comput., 2019

Citizen science frontiers: Efficiency, engagement, and serendipitous discovery with human-machine systems.
Proc. Natl. Acad. Sci. USA, 2019

Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images.
CoRR, 2019

Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning.
CoRR, 2019

2018
Optimizing the Human-Machine Partnership with Zooniverse.
CoRR, 2018

Patterns of Volunteer Behaviour Across Online Citizen Science.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017
Transforming Libraries and Archives through Crowdsourcing.
D Lib Mag., 2017

2016
Science Learning via Participation in Online Citizen Science.
CoRR, 2016

Playing with science: Exploring how game activity motivates users participation on an online citizen science platform.
Aslib J. Inf. Manag., 2016

2015
Defining and Measuring Success in Online Citizen Science: A Case Study of Zooniverse Projects.
Comput. Sci. Eng., 2015

Aggregating User Input in Ecology Citizen Science Projects.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A computational pipeline for crowdsourced transcriptions of Ancient Greek papyrus fragments.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Participating in Online Citizen Science: Motivations as the Basis for User Types and Trajectories.
Proceedings of the Handbook of Human Computation, 2013

Human Computation in Citizen Science.
Proceedings of the Handbook of Human Computation, 2013

An Introduction to the Zooniverse.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

2012
Citizen Science: Contributions to Astronomy Research
CoRR, 2012

Invited Talks.
Proceedings of the Discovery Informatics: The Role of AI Research in Innovating Scientific Processes, 2012

2011
Technology: The inspiration exchange.
Nat., 2011


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