Mike Walmsley

According to our database, Mike Walmsley authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Zoobot: Adaptable Deep Learning Models for Galaxy Morphology.

Mike Walmsley, Campbell Allen, Ben Aussel, Micah Bowles, Kasia Gregorowicz, Inigo Val Slijepcevic, Chris J. Lintott, Anna M. M. Scaife, Maja Jablonska, Kosio Karchev, Denise Lanzieri, Devina Mohan, David O'Ryan, Bharath Saiguhan, Crisel Suárez, Nicolás Guerra-Varas, Renuka Velu

J. Open Source Softw., July, 2023

Rare Galaxy Classes Identified In Foundation Model Representations.

Mike Walmsley, Anna M. M. Scaife

CoRR, 2023

Deep Learning Segmentation of Spiral Arms and Bars.

Mike Walmsley, Ashley Spindler

CoRR, 2023

2022

A New Task: Deriving Semantic Class Targets for the Physical Sciences.

Micah Bowles, Hongming Tang, Eleni Vardoulaki, Emma L. Alexander, Yan Luo, Lawrence Rudnick, Mike Walmsley, Fiona Porter, Anna M. M. Scaife, Inigo Val Slijepcevic, Gary Segal

CoRR, 2022

Towards Galaxy Foundation Models with Hybrid Contrastive Learning.

Mike Walmsley, Inigo Val Slijepcevic, Micah Bowles, Anna M. M. Scaife

CoRR, 2022

Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift.

Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley, Micah Bowles, Ivy Wong, Stanislav S. Shabala, Hongming Tang

CoRR, 2022

Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification.

Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bowles

CoRR, 2022

A new Workflow for Human-AI Collaboration in Citizen Science.

Ya'akov (Kobi) Gal, Avi Segal, Ece Kamar, Eric Horvitz, Chris J. Lintott, Mike Walmsley

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.

Mike Walmsley, Anna M. M. Scaife, Chris J. Lintott, Michelle Lochner, Verlon Etsebeth, Tobias Géron, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen L. Masters, Kameswara Bharadwaj Mantha, Brooke D. Simmons

CoRR, 2021

Revisiting Citizen Science Through the Lens of Hybrid Intelligence.

Janet Rafner, Miroslav Gajdacz, Gitte Kragh, Arthur Hjorth, Anna Jia Gander, Blanka Palfi, Aleks Berditchevskaia, François Grey, Kobi Gal, Avi Segal, Mike Walmsley, Josh Aaron Miller, Dominik Dellerman, Muki Haklay, Pietro Michelucci, Jacob Friis Sherson

CoRR, 2021

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

Mike Walmsley, Chris J. Lintott, Tobias Géron, Sandor Kruk, Coleman Krawczyk, Kyle W. Willett, Steven Bamford, William Keel, Lee S. Kelvin, Lucy Fortson, Karen L. Masters, Vihang Mehta, Brooke D. Simmons, Rebecca J. Smethurst, Elisabeth M. Baeten, Christine Macmillan

CoRR, 2021

2019

Help Me to Help You: Machine Augmented Citizen Science.

Darryl Wright, Lucy Fortson, Chris J. Lintott, Michael Laraia, Mike Walmsley

ACM Trans. Soc. Comput., 2019

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

Mike Walmsley, Lewis Smith, Chris J. Lintott, Yarin Gal, Steven Bamford, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen Masters, Claudia Scarlata, Brooke Simmons, Rebecca J. Smethurst, Darryl Wright

CoRR, 2019