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ORCIDAnj Simmons
Person information
- affiliation: Hashtag AI, Melbourne, VIC, Australia
- affiliation (PhD 2020): Deakin University, Burwood, VIC, Australia
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2020 – today
- 2024
[j3]Tuan Dung Lai
, Anj Simmons, Scott Barnett, Jean-Guy Schneider, Rajesh Vasa:
Comparative analysis of real issues in open-source machine learning projects. Empir. Softw. Eng. 29(3): 60 (2024)- [c15]Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz:
Green Runner: A Tool for Efficient Deep Learning Component Selection. CAIN 2024: 112-117 - [i14]Anupam Chaudhuri, Anj Simmons, Mohamed Abdelrazek:
Quantifying Manifolds: Do the manifolds learned by Generative Adversarial Networks converge to the real data manifold. CoRR abs/2403.05033 (2024) - [i13]Anj Simmons, Scott Barnett, Anupam Chaudhuri, Sankhya Singh, Shangeetha Sivasothy:
Minimising changes to audit when updating decision trees. CoRR abs/2408.16321 (2024) - 2023
- [j2]Sheng Wong, Anj Simmons, Jessica Rivera-Villicana, Scott Barnett:
Estimating Patient-Level Uncertainty in Seizure Detection Using Group-Specific Out-of-Distribution Detection Technique. Sensors 23(20): 8375 (2023) - [c14]Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa:
MLGuard: Defend Your Machine Learning Model! SE4SafeML@SIGSOFT FSE 2023: 10-13 - [i12]Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz:
Green Runner: A tool for efficient model selection from model repositories. CoRR abs/2305.16849 (2023) - [i11]Anj Simmons, Rajesh Vasa:
Garbage in, garbage out: Zero-shot detection of crime using Large Language Models. CoRR abs/2307.06844 (2023) - [i10]Sheng Wong, Scott Barnett, Jessica Rivera-Villicana, Anj Simmons, Hala Abdelkader, Jean-Guy Schneider, Rajesh Vasa:
MLGuard: Defend Your Machine Learning Model! CoRR abs/2309.01379 (2023) - [i9]Andres Pollano, Anupam Chaudhuri, Anj Simmons:
Detecting out-of-distribution text using topological features of transformer-based language models. CoRR abs/2311.13102 (2023) - 2022
- [c13]Jai Kannan, Scott Barnett, Luis Cruz, Anj Simmons, Akash Agarwal:
MLSmellHound: A Context-Aware Code Analysis Tool. ICSE (NIER) 2022: 66-70 - [c12]Anj Simmons, Rajesh Vasa, Antonio Giardina:
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations. ISWC (Posters/Demos/Industry) 2022 - [i8]Anj Simmons:
A reliability measure for smart surveillance systems. CoRR abs/2202.09339 (2022) - [i7]Jai Kannan, Scott Barnett, Luís Cruz, Anj Simmons, Akash Agarwal:
MLSmellHound: A Context-Aware Code Analysis Tool. CoRR abs/2205.03790 (2022) - [i6]Anj Simmons, Rajesh Vasa:
Signal Knowledge Graph. CoRR abs/2206.12111 (2022) - [i5]Anj Simmons, Rajesh Vasa, Antonio Giardina:
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations. CoRR abs/2208.05627 (2022) - [i4]Tuan Dung Lai, Anj Simmons, Scott Barnett, Jean-Guy Schneider, Rajesh Vasa:
Comparative analysis of real bugs in open-source Machine Learning projects - A Registered Report. CoRR abs/2209.09932 (2022) - 2021
- [c11]Shangeetha Sivasothy, Scott Barnett, Niroshinie Fernando, Rajesh Vasa, Roopak Sinha, Andrew J. Simmons:
Towards a taxonomy for annotation of data science experiment repositories. SCAM 2021: 76-80 - 2020
- [j1]Hourieh Khalajzadeh, Andrew J. Simmons, Mohamed Abdelrazek, John C. Grundy, John G. Hosking, Qiang He:
An end-to-end model-based approach to support big data analytics development. J. Comput. Lang. 58: 100964 (2020) - [c10]Hourieh Khalajzadeh, Andrew J. Simmons, Mohamed Abdelrazek, John Grundy, John G. Hosking, Qiang He:
Visual Languages for Supporting Big Data Analytics Development. ENASE 2020: 15-26 - [c9]Hourieh Khalajzadeh, Andrew J. Simmons, Tarun Verma, Mohamed Abdelrazek, John C. Grundy, John G. Hosking, Qiang He, Prasanna Ratnakanthan, Adil Zia, Meng Law:
BiDaML in Practice: Collaborative Modeling of Big Data Analytics Application Requirements. ENASE (Selected Papers) 2020: 106-129 - [c8]Andrew J. Simmons, Scott Barnett, Jessica Rivera-Villicana, Akshat Bajaj, Rajesh Vasa:
A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects. ESEM 2020: 1:1-1:11 - [c7]Hourieh Khalajzadeh, Andrew J. Simmons, Mohamed Abdelrazek, John C. Grundy, John G. Hosking, Qiang He, Prasanna Ratnakanthan, Adil Zia, Meng Law:
A practical, collaborative approach for modeling big data analytics application requirements. ICSE (Companion Volume) 2020: 256-257 - [c6]Hourieh Khalajzadeh, Tarun Verma, Andrew J. Simmons, John C. Grundy, Mohamed Abdelrazek, John G. Hosking:
User-centred tooling for modelling of big data applications. MoDELS (Companion) 2020: 7:1-7:5 - [c5]Hourieh Khalajzadeh, Andrew J. Simmons, Mohamed Abdelrazek, John Grundy, John G. Hosking, Qiang He:
End-User-Oriented Tool Support for Modeling Data Analytics Requirements. VL/HCC 2020: 1-4 - [i3]Andrew J. Simmons, Scott Barnett, Jessica Rivera-Villicana, Akshat Bajaj, Rajesh Vasa:
A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects. CoRR abs/2007.08978 (2020)
2010 – 2019
- 2018
- [c4]Andrew J. Simmons, Maheswaree Kissoon Curumsing, Rajesh Vasa:
An interaction model for de-identification of human data held by external custodians. OZCHI 2018: 23-26 - [i2]Andrew J. Simmons, Scott Barnett, Simon Vajda, Rajesh Vasa:
Data Provenance for Sport. CoRR abs/1812.05804 (2018) - 2017
- [c3]Andrew J. Simmons, Rajesh Vasa:
Spatio-Temporal Reference Frames as Geographic Objects. SIGSPATIAL/GIS 2017: 95:1-95:4 - [i1]Andrew J. Simmons, Rajesh Vasa:
Spatio-Temporal Reference Frames as Geographic Objects. CoRR abs/1711.00218 (2017) - 2016
- [c2]Andrew J. Simmons, Leonard Hoon:
Agree to disagree: on labelling helpful app reviews. OZCHI 2016: 416-420 - 2015
- [c1]Andrew J. Simmons, Iman Avazpour, Hai Le Vu, Rajesh Vasa:
Hub Map: A new approach for visualizing traffic data sets with multi-attribute link data. VL/HCC 2015: 219-223
Coauthor Index
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last updated on 2024-10-24 21:30 CEST by the dblp team
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