Zobrazeno 1 - 10
of 186
pro vyhledávání: '"G, Mocanu"'
Autor:
Stara, Magdalen Velciu, Luiza Spiru, Mircea Dan Marzan, Eva Reithner, Simona Geli, Barbara Borgogni, Oana Cramariuc, Irina G. Mocanu, Jerzy Kołakowski, Jaouhar Ayadi, Margherita Rampioni, Vera
Publikováno v:
Sustainability; Volume 15; Issue 13; Pages: 10330
The worldwide population is undergoing a fundamental change in its age structure, which challenges the health- and social-services system. The need to migrate towards a more person-centered and coordinated model of care that supports the optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::a9c393a683e071e5282c5d9736cac005
Autor:
Anca M. Bînă, Adrian Sturza, Ioana Iancu, Adelina G. Mocanu, Elena Bernad, Daniela V. Chiriac, Claudia Borza, Marius L. Craina, Zoran L. Popa, Danina M. Muntean, Octavian M. Crețu
Publikováno v:
Molecular and Cellular Biochemistry. 477:2851-2861
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ed2240a956bd7bfbe6e558c54739529
https://doi.org/10.1007/s11010-022-04499-w
https://doi.org/10.1007/s11010-022-04499-w
Autor:
Anca M. Bînă, Oana M. Aburel, Vlad F. Avram, Theia Lelcu, Adina V. Lința, Daniela V. Chiriac, Adelina G. Mocanu, Elena Bernad, Claudia Borza, Marius L. Craina, Zoran L. Popa, Danina M. Muntean, Octavian M. Crețu
Publikováno v:
Molecular and Cellular Biochemistry. 477:1987-2000
Preeclampsia (PE) is a major complication of pregnancy with partially elucidated pathophysiology. Placental mitochondrial dysfunction has been increasingly studied as major pathomechanism in both early- and late-onset PE. Impairment of mitochondrial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ea5430ec904b3adc8f84827517b6efc
https://doi.org/10.1007/s11010-022-04415-2
https://doi.org/10.1007/s11010-022-04415-2
Autor:
Anca M. Bînă, Andreea I. Anechitei, Theia Lelcu, Adina V. Lința, Daniela V. Chiriac, Adelina G. Mocanu, Elena Bernad, Zoran L. Popa, Marius L. Craina, Danina M. Muntean, Claudia Borza, Octavian M. Crețu
Publikováno v:
Serbian Journal of Experimental and Clinical Research. 23:45-50
Preeclampsia (PE) is a major complication of pregnancy with both mother and fetal adverse outcomes. Pregnancy is a state of increased oxidative stress that has been reported to be exacerbated when complicated with preeclampsia. However, conflicting d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a79ca502cff012316fe8ecbaee898a4
https://doi.org/10.2478/sjecr-2022-0010
https://doi.org/10.2478/sjecr-2022-0010
Akademický článek
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Autor:
Ionela G. Mocanu
Publikováno v:
IJCAI
Since knowledge engineering is an inherently challenging and somewhat unbounded task, machine learning has been widely proposed as an alternative. In real world scenarios, we often need to explicitly model multiple agents, where intelligent agents ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55d57b22b05873424883b2ee1c2e161f
https://doi.org/10.24963/ijcai.2021/685
https://doi.org/10.24963/ijcai.2021/685
Publikováno v:
Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
UMAP (Adjunct Publication)
UMAP (Adjunct Publication)
Over the past years, there has been an increasing concern regarding the risk of bias and discrimination in algorithmic systems, which re- ceived significant attention amongst the research communities. To ensure the system’s fairness, various method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1d63e573aef1b8d058685d700d8c1a3
Publikováno v:
IJCAI
Rader, A P, Mocanu, I G, Belle, V & Juba, B 2021, Learning Implicitly with Noisy Data in Linear Arithmetic . in Proceedings of 30th International Joint Conference on Artificial Intelligence (IJCAI-21) . pp. 1410-1417, 30th International Joint Conference on Artificial Intelligence, Montreal, Quebec, Canada, 19/08/21 . https://doi.org/10.24963/ijcai.2021/195
Rader, A P, Mocanu, I G, Belle, V & Juba, B 2021, Learning Implicitly with Noisy Data in Linear Arithmetic . in Proceedings of 30th International Joint Conference on Artificial Intelligence (IJCAI-21) . pp. 1410-1417, 30th International Joint Conference on Artificial Intelligence, Montreal, Quebec, Canada, 19/08/21 . https://doi.org/10.24963/ijcai.2021/195
Robust learning in expressive languages with real-world data continues to be a challenging task. Numerous conventional methods appeal to heuristics without any assurances of robustness. While probably approximately correct (PAC) Semantics offers stro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::115e2814e841e5d05156bc740d4bb3b4
Publikováno v:
Studia Universitatis Babeș-Bolyai Physica. 63:101-110
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::287b7d493eb5425f6e6eefb5653ef657
https://doi.org/10.24193/subbphys.2018.09
https://doi.org/10.24193/subbphys.2018.09
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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