Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Amin Nikanjam"'
Publikováno v:
Empirical Software Engineering. 28
Autor:
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming (Jack) Jiang
Publikováno v:
Journal of Systems and Software. 203:111734
Testing Deep Learning (DL) systems is a complex task as they do not behave like traditional systems would, notably because of their stochastic nature. Nonetheless, being able to adapt existing testing techniques such as Mutation Testing (MT) to DL se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4ada83e84a8b89dae90c7a93705dc16
http://arxiv.org/abs/2301.05651
http://arxiv.org/abs/2301.05651
Publikováno v:
Artificial Intelligence for Cyber-Physical Systems Hardening ISBN: 9783031162367
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf76e7b28955a3a8975d2ebec6c4e0fc
https://doi.org/10.1007/978-3-031-16237-4_7
https://doi.org/10.1007/978-3-031-16237-4_7
Publikováno v:
2022 IEEE International Conference on Software Maintenance and Evolution (ICSME).
Publikováno v:
2022 IEEE International Conference on Software Maintenance and Evolution (ICSME).
Publikováno v:
Engineering with Computers. 37:2865-2876
Stability and convergence analysis have been previously accomplished for some population-based search and swarm intelligence algorithms like Particle Swarm Optimization and Gravitational Search Algorithm. However, there is no adequate theoretical ana
Publikováno v:
Computing. 102:893-922
Social network analysis has become an important topic for researchers in sociology and computer science. Similarities among individuals form communities as the basic constitutions of social networks. Regarding the importance of communities, community
Publikováno v:
Automated Software Engineering. 29
A growing demand is witnessed in both industry and academia for employing Deep Learning (DL) in various domains to solve real-world problems. Deep Reinforcement Learning (DRL) is the application of DL in the domain of Reinforcement Learning (RL). Lik