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Journal Articles
- 2023
[j1]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): 5312 (2023)
Conference and Workshop Papers
- 2019
- [c6]Devina Mohan, Raoul Jetley, Sithu D. Sudarsan:
Learning based Probabilistic Model for Migration of Industrial Control Systems. ETFA 2019: 87-94 - [c5]Varsha P. Suresh, Sujit Kumar Chakrabarti, Raoul Jetley, Devina Mohan:
Handling Backtracking for Symbolic Testing of Embedded Software. ETFA 2019: 1445-1448 - [c4]Amit Goyal, R. K. Shyamasundar, Raoul Jetley, Devina Mohan, Srini Ramaswamy:
Test Suite Minimization of Evolving Software Systems: A Case Study. ICSOFT 2019: 226-237 - [c3]Devina Mohan, Chandrika K. R., Sithu D. Sudarsan:
Agent Based Modelling for Migration of Industrial Control Systems. SMC 2019: 3292-3297 - 2018
- [c2]Avijit Mandal, Devina Mohan, Raoul Jetley, Sreeja Nair, Meenakshi D'Souza:
A Generic Static Analysis Framework for Domain-specific Languages. ETFA 2018: 27-34 - 2016
- [c1]Anjali Goyal, Devina Mohan, Neetu Sardana:
Visheshagya: Time based expertise model for bug report assignment. IC3 2016: 1-6
Informal and Other Publications
- 2024
- [i4]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, Joshua S. 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 abs/2404.02973 (2024) - [i3]Devina Mohan, Anna M. M. Scaife:
Evaluating Bayesian deep learning for radio galaxy classification. CoRR abs/2405.18351 (2024) - 2022
- [i2]Devina Mohan, Anna M. M. Scaife, Fiona Porter, Mike Walmsley, Micah Bowles:
Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification. CoRR abs/2201.01203 (2022) - 2021
- [i1]Devina Mohan, Anna M. M. Scaife:
Weight Pruning and Uncertainty in Radio Galaxy Classification. CoRR abs/2111.11654 (2021)
Coauthor Index
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