Zobrazeno 1 - 10
of 1 117
pro vyhledávání: '"data uncertainty"'
Publikováno v:
Meta-Radiology, Vol 2, Iss 3, Pp 100084- (2024)
Fairness of artificial intelligence and machine learning models, often caused by imbalanced datasets, has long been a concern. While many efforts aim to minimize model bias, this study suggests that traditional fairness evaluation methods may be bias
Externí odkaz:
https://doaj.org/article/e090475029894d259891cebd08a2e614
Autor:
Mostafa Esmaeili Shayan, Mario Petrollese, Seyed Hossein Rouhani, Saleh Mobayen, Anton Zhilenkov, Chun Lien Su
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 160, Iss , Pp 110087- (2024)
Confronting the challenge of intermittent renewables, current unit commitment practices falter, urging the development of novel short-term generation scheduling techniques for enhanced microgrid stability. This study presents an adaptive robust unit
Externí odkaz:
https://doaj.org/article/6023bcae3a22405495c4759635c7f870
Autor:
Ramalli, Edoardo, Pernici, Barbara
Publikováno v:
Information Discovery and Delivery, 2023, Vol. 51, Issue 4, pp. 371-383.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IDD-06-2022-0060
Publikováno v:
Ecology and Evolution, Vol 14, Iss 8, Pp n/a-n/a (2024)
Abstract Understanding the dynamics of population recovery in threatened species requires robust longitudinal monitoring datasets. However, evidence‐based decision‐making is often impeded by variable data collection approaches, necessitating crit
Externí odkaz:
https://doaj.org/article/5519d94ad3ab413e95e1147327231e10
Publikováno v:
IEEE Access, Vol 12, Pp 85324-85337 (2024)
Facial Expression Recognition (FER) on unconstrained datasets poses a significant challenge, primarily due to data uncertainty stemming from human subjectivity and ambiguous facial expressions. Previous methods attempt to address this issue through r
Externí odkaz:
https://doaj.org/article/13193197055d4fe4ac27138f4a021160
Publikováno v:
IEEE Access, Vol 12, Pp 15016-15025 (2024)
In general, salient object detection (SOD) datasets have ambiguity due to annotation accuracy and human subjectivity in determining saliency. Since this data uncertainty causes inaccurate prediction, many techniques tackling data uncertainty have bee
Externí odkaz:
https://doaj.org/article/9497c4af4f034453bc921dd626512d09
Publikováno v:
Algorithms, Vol 17, Iss 10, p 430 (2024)
In most re-identification approaches, embedding vectors are compared to identify the best match for a given query. However, this comparison does not take into account whether the encoded information in the embedding vectors was extracted reliably fro
Externí odkaz:
https://doaj.org/article/c47d7b465eba47a0b220f9a7b7b814fd
Autor:
S. Priyan
Publikováno v:
International Journal of Information Management Data Insights, Vol 4, Iss 1, Pp 100225- (2024)
Securing visibility and dependable information from stakeholders poses a significant challenge for companies engaged in supply chain management. Timely and accurate information exchange is crucial for assessing factors such as carbon emissions and co
Externí odkaz:
https://doaj.org/article/1373a9194d9b4fd0838e58b4388b6cc4
Autor:
Katsuichiro Goda
Publikováno v:
Geoscience Letters, Vol 10, Iss 1, Pp 1-9 (2023)
Abstract Earthquake occurrence modeling of large subduction events involves significant uncertainty, stemming from the scarcity of geological data and inaccuracy of dating techniques. The previous research on statistical modeling of full-margin ruptu
Externí odkaz:
https://doaj.org/article/05c8849e441e493f873e7217fb6aecb2
Publikováno v:
Meteorologische Zeitschrift, Vol 32, Iss 3, Pp 195-206 (2023)
Climate indices are used to reduce the complex climate system and its changes to simple measures. The data basis – whether observational data or climate model data – to which the climate indices are applied, is usually subject to uncertainties. F
Externí odkaz:
https://doaj.org/article/4239f53aa6da48089edf374a33da7c72