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Max Hort
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2020 – today
- 2024
- [j4]Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman:
Search-based Automatic Repair for Fairness and Accuracy in Decision-making Software. Empir. Softw. Eng. 29(1): 36 (2024) - [j3]Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, Federica Sarro:
Fairness Testing: A Comprehensive Survey and Analysis of Trends. ACM Trans. Softw. Eng. Methodol. 33(5): 137:1-137:59 (2024) - [c11]Merve Astekin, Max Hort, Leon Moonen:
A Comparative Study on Large Language Models for Log Parsing. ESEM 2024: 234-244 - [c10]Merve Astekin, Max Hort, Leon Moonen:
An Exploratory Study on How Non-Determinism in Large Language Models Affects Log Parsing. InteNSE 2024: 13-18 - [i7]Fernando Vallecillos Ruiz, Anastasiia Grishina, Max Hort, Leon Moonen:
A Novel Approach for Automatic Program Repair using Round-Trip Translation with Large Language Models. CoRR abs/2401.07994 (2024) - [i6]Merve Astekin, Max Hort, Leon Moonen:
A Comparative Study on Large Language Models for Log Parsing. CoRR abs/2409.02474 (2024) - 2023
- [j2]Max Hort, Rebecca Moussa, Federica Sarro:
Multi-objective search for gender-fair and semantically correct word embeddings. Appl. Soft Comput. 133: 109916 (2023) - [c9]Max Hort, Anastasiia Grishina, Leon Moonen:
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code. ESEM 2023: 1-12 - [c8]Max Hort, Rebecca Moussa, Federica Sarro:
Multi-objective Search for Gender-fair and Semantically Correct Word Embeddings (HOP GECCO'23). GECCO Companion 2023: 23-24 - [c7]Anastasiia Grishina, Max Hort, Leon Moonen:
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification. ESEC/SIGSOFT FSE 2023: 895-907 - [i5]Anastasiia Grishina, Max Hort, Leon Moonen:
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification. CoRR abs/2305.04940 (2023) - [i4]Max Hort, Anastasiia Grishina, Leon Moonen:
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code. CoRR abs/2307.02443 (2023) - 2022
- [j1]Max Hort, Maria Kechagia, Federica Sarro, Mark Harman:
A Survey of Performance Optimization for Mobile Applications. IEEE Trans. Software Eng. 48(8): 2879-2904 (2022) - [c6]Max Hort, Federica Sarro:
Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness. FairWare@ICSE 2022: 17-24 - [c5]James Zhong, Max Hort, Federica Sarro:
Py2Cy: a genetic improvement tool to speed up python. GECCO Companion 2022: 1950-1955 - [i3]Max Hort, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey. CoRR abs/2207.07068 (2022) - [i2]Zhenpeng Chen, Jie M. Zhang, Max Hort, Federica Sarro, Mark Harman:
Fairness Testing: A Comprehensive Survey and Analysis of Trends. CoRR abs/2207.10223 (2022) - [i1]Minghua Ma, Zhao Tian, Max Hort, Federica Sarro, Hongyu Zhang, Qingwei Lin, Dongmei Zhang:
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances. CoRR abs/2209.08321 (2022) - 2021
- [c4]Max Hort, Federica Sarro:
The effect of offspring population size on NSGA-II: a preliminary study. GECCO Companion 2021: 179-180 - [c3]Max Hort, Federica Sarro:
Did You Do Your Homework? Raising Awareness on Software Fairness and Discrimination. ASE 2021: 1322-1326 - [c2]Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman:
Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods. ESEC/SIGSOFT FSE 2021: 994-1006 - 2020
- [c1]Max Hort, Federica Sarro:
Optimising word embeddings with search-based approaches. GECCO Companion 2020: 269-270
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