Mike Walmsley

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Intelligence Analysis

Transductive Support Vector Machine

Top Venues

ACM Trans. Soc. Comput.

J. Open Source Softw.

Publications

Mike Walmsley, Micah Bowles, Anna M. M. Scaife, Jason Shingirai Makechemu, Alexander J. Gordon, Annette M. N. Ferguson, Robert G. Mann, James Pearson, Jürgen J. Popp, Jo Bovy, Josh Speagle, Hugh Dickinson, Lucy Fortson, Tobias Géron, Sandor Kruk, Chris J. Lintott, Kameswara Bharadwaj Mantha, Devina Mohan, David O'Ryan, Inigo V. Slijepcevic
Scaling Laws for Galaxy Images. CoRR (2024)
Mike Walmsley, Anna M. M. Scaife
Rare Galaxy Classes Identified In Foundation Model Representations. CoRR (2023)
Mike Walmsley, Ashley Spindler
Deep Learning Segmentation of Spiral Arms and Bars. CoRR (2023)
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
Zoobot: Adaptable Deep Learning Models for Galaxy Morphology. J. Open Source Softw. 8 (87) (2023)
Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley, Micah Bowles, Ivy Wong, Stanislav S. Shabala, Hongming Tang
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift. CoRR (2022)
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
A New Task: Deriving Semantic Class Targets for the Physical Sciences. CoRR (2022)
Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bowles
Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification. CoRR (2022)
Ya'akov (Kobi) Gal, Avi Segal, Ece Kamar, Eric Horvitz, Chris J. Lintott, Mike Walmsley
A new Workflow for Human-AI Collaboration in Citizen Science. GoodIT (2022)
Mike Walmsley, Inigo Val Slijepcevic, Micah Bowles, Anna M. M. Scaife
Towards Galaxy Foundation Models with Hybrid Contrastive Learning. CoRR (2022)
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
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning. CoRR (2021)
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
Revisiting Citizen Science Through the Lens of Hybrid Intelligence. CoRR (2021)
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
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314, 000 Galaxies. CoRR (2021)
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
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning. CoRR (2019)
Darryl Wright, Lucy Fortson, Chris J. Lintott, Michael Laraia, Mike Walmsley
Help Me to Help You: Machine Augmented Citizen Science. ACM Trans. Soc. Comput. 2 (3) (2019)