Results 21 to 30 of about 23,598 (350)
Mislabeling in seafood products sold on the Italian market: A systematic review and meta-analysis
Food Control, 2022 27 In this study the results of a systematic review and meta-analysis on mislabeling in seafood 28 products sold on the Italian market is are presented.
A. Giusti +4 more
semanticscholar +1 more source
Scientific Reports, 2021 Despite high effort for food traceability to ensure safe and sustainable consumption, mislabeling persists on seafood markets. Determining what drives deliberate fraud is necessary to improve food authenticity and sustainability.
Carmen Blanco-Fernandez +9 more
doaj +1 more source
A high proportion of red snapper sold in North Carolina is mislabeled [PDF]
PeerJ, 2020 Seafood mislabeling occurs when a market label is inaccurate, primarily in terms of species identity, but also regarding weight, geographic origin, or other characteristics.
Erin T. Spencer +18 more
doaj +2 more sources
Robust Mislabel Logistic Regression without Modeling Mislabel Probabilities [PDF]
Biometrics, 2017 SummaryLogistic regression is among the most widely used statistical methods for linear discriminant analysis. In many applications, we only observe possibly mislabeled responses. Fitting a conventional logistic regression can then lead to biased estimation.
Hung Hung, Zhi-Yu Jou, Su-Yun Huang
openaire +4 more sources
Determining the Authenticity of Shark Meat Products by DNA Sequencing
Foods, 2020 Given that the global shark meat market is poised to grow in future years, the aim of this study was to use DNA sequencing of the cytochrome c oxidase I (COI) and NADH dehydrogenase subunit 2 (NADH2) mitochondrial genes to examine the market of shark ...
Patrizia Marchetti +4 more
doaj +1 more source
Molecules, 2023 Gas chromatography (GC) techniques for analyzing and determining the cannabinoid profile in cannabis (Cannabis sativa L.) are widely used in standard laboratories; however, these methods may mislabel the profile when used under rapid conditions.
Julio Salazar-Bermeo +10 more
semanticscholar +1 more source
Active Learning Under Malicious Mislabeling and Poisoning Attacks [PDF]
Global Communications Conference, 2021 Deep neural networks usually require large labeled datasets for training to achieve state-of-the-art performance in many tasks, such as image classification and natural language processing.
Jing Lin, R. Luley, Kaiqi Xiong
semanticscholar +1 more source
Foods, 2021 The problem of fish traceability in processed products is still an important issue in food safety. Major attention is nowadays dedicated to consumer health and prevention of possible frauds regulated by national and international laws. For this reason, a
L. Filonzi +5 more
semanticscholar +1 more source
A case study on DNA barcoding for pet food mislabeling in South Korea
Italian Journal of Food Safety, 2023 Due to the close relationship between pets and humans, pet owners are highly invested in proper diets for their pets. Even though pet food mislabeling is concerning, there are few studies on this topic.
Duri Lee +5 more
doaj +1 more source
Road to Automating Robotic Suturing Skills Assessment: Battling Mislabeling of the Ground Truth
Surgery, 2021 Objective: To automate surgeon skills evaluation using robotic instrument kinematic data. Additionally, to implement an unsupervised mislabeling detection algorithm to identify potentially mislabeled samples that can be removed to improve model ...
A. Hung +6 more
semanticscholar +1 more source