Zobrazeno 1 - 10
of 44
pro vyhledávání: '"BRCIC, MARIO"'
Autor:
Longo, Luca, Brcic, Mario, Cabitza, Federico, Choi, Jaesik, Confalonieri, Roberto, Del Ser, Javier, Guidotti, Riccardo, Hayashi, Yoichi, Herrera, Francisco, Holzinger, Andreas, Jiang, Richard, Khosravi, Hassan, Lecue, Freddy, Malgieri, Gianclaudio, Páez, Andrés, Samek, Wojciech, Schneider, Johannes, Speith, Timo, Stumpf, Simone
Publikováno v:
Information Fusion 2024
As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In response, Explainable AI (XAI) has emerged as a field of research with prac
Externí odkaz:
http://arxiv.org/abs/2310.19775
The data mesh is a novel data management concept that emphasises the importance of a domain before technology. The concept is still in the early stages of development and many efforts to implement and use it are expected to have negative consequences
Externí odkaz:
http://arxiv.org/abs/2209.04661
Publikováno v:
Appl. Sci. 2023, 13(4), 2471
This paper deals with the mediator-wrapper architecture. It is an important architectural pattern that enables a more flexible and modular architecture in opposition to monolithic architectures for data source integration systems. This paper identifi
Externí odkaz:
http://arxiv.org/abs/2208.12319
We shall have a hard look at ethics and try to extract insights in the form of abstract properties that might become tools. We want to connect ethics to games, talk about the performance of ethics, introduce curiosity into the interplay between compe
Externí odkaz:
http://arxiv.org/abs/2205.13370
Artificial intelligence (AI) has been embedded into many aspects of people's daily lives and it has become normal for people to have AI make decisions for them. Reinforcement learning (RL) models increase the space of solvable problems with respect t
Externí odkaz:
http://arxiv.org/abs/2203.11547
Autor:
Brcic, Mario, Yampolskiy, Roman V.
Publikováno v:
ACM Computing Surveys, 2023
An impossibility theorem demonstrates that a particular problem or set of problems cannot be solved as described in the claim. Such theorems put limits on what is possible to do concerning artificial intelligence, especially the super-intelligent one
Externí odkaz:
http://arxiv.org/abs/2109.00484
Autor:
Longo, Luca, Brcic, Mario, Cabitza, Federico, Choi, Jaesik, Confalonieri, Roberto, Ser, Javier Del, Guidotti, Riccardo, Hayashi, Yoichi, Herrera, Francisco, Holzinger, Andreas, Jiang, Richard, Khosravi, Hassan, Lecue, Freddy, Malgieri, Gianclaudio, Páez, Andrés, Samek, Wojciech, Schneider, Johannes, Speith, Timo, Stumpf, Simone
Publikováno v:
In Information Fusion June 2024 106
Autor:
Poje, Kristijan1 (AUTHOR) kristijan.poje@fer.hr, Brcic, Mario1 (AUTHOR), Kovac, Mihael1 (AUTHOR), Babac, Marina Bagic1 (AUTHOR)
Publikováno v:
Entropy. Jun2024, Vol. 26 Issue 6, p524. 23p.
Last decade has seen major improvements in the performance of artificial intelligence which has driven wide-spread applications. Unforeseen effects of such mass-adoption has put the notion of AI safety into the public eye. AI safety is a relatively n
Externí odkaz:
http://arxiv.org/abs/2002.05671
Autor:
BRCIC, MARIO1 mario.brcic@fer.hr, YAMPOLSKIY, ROMAN V.2 roman.yampolskiy@louisville.edu
Publikováno v:
ACM Computing Surveys. Jan2024, Vol. 56 Issue 1, p1-24. 24p.