Results 41 to 50 of about 23,598 (350)
Mislabeled and ambiguous market names in invertebrate and finfish seafood conceal species of conservation concern in Calgary, Alberta, Canada [PDF]
PeerJBackground The mislabeling of seafood, wherein a food product’s marketed name does not match its contents, has the potential to mask species of conservation concern.
Matthew R. J. Morris +4 more
doaj +2 more sources
Molecular analyses of confiscated shark fins reveal shortcomings of CITES implementations in Germany
Conservation Science and Practice, 2021 A three‐ton shipment of dry shark fins was examined by German customs in 2017 leading to the confiscation of 405 kg of potential CITES species. We analyzed a subsample of this material (115 specimens) using DNA sequence‐based identification and compared ...
Melany Villate‐Moreno +3 more
doaj +1 more source
DNA barcoding as a molecular tool to track down mislabeling and food piracy [PDF]
, 2015 DNA barcoding is a molecular technology that allows the identification of any biological species by amplifying, sequencing and querying the information from genic and/or intergenic standardized target regions belonging to the extranuclear genomes ...
Barcaccia, Gianni +2 more
core +2 more sources
Multiple drivers behind mislabeling of fish from artisanal fisheries in La Paz, Mexico
PeerJ, 2021 Seafood mislabeling has the potential to mask changes in the supply of species due to overfishing, while also preventing consumers from making informed choices about the origin, quality and sustainability of their food.
A. Munguía-Vega +3 more
semanticscholar +1 more source
Foods, 2021 An appropriate seafood origin identification is essential for labelling regulation but also economic and ecological issues. Near infrared (NIRS) reflectance spectroscopy was employed to assess the origins of cuttlefish caught from five fishing FAO areas (
Sarah Currò +6 more
doaj +1 more source
Identifying Mislabeled Training Data
Journal of Artificial Intelligence Research, 1999 This paper presents a new approach to identifying and eliminating mislabeled training instances for supervised learning. The goal of this approach is to improve classification accuracies produced by learning algorithms by improving the quality of the training data. Our approach uses a set of learning algorithms to create classifiers that
Carla E. Brodley, Mark A. Friedl
openaire +4 more sources
An overview of most commonly used methods for detection of fish mislabeling
Veterinaria, 2021 The increase of global fish consumption brings with it the problem of fish mislabeling, which leads to economic losses for consumers or may even result in consumers’ health risk.
Enida Članjak – Kudra +5 more
semanticscholar +1 more source
DNA barcoding of fish species reveals low rate of package mislabeling in Qatar [PDF]
Genome, 2019 DNA barcoding technique has made it possible to authenticate various species used for food and medicinal purposes. In the identification of seafood species, studies are concentrated in North America, Europe, and Asia.
Kuei‐Chiu Chen +7 more
openalex +2 more sources
Journal of Marine Science and Engineering, 2023 The present study investigates through an integrated survey, for the first time in Greek shellfish market, the marketing distribution towards a new edible shellfish product that of the non-indigenous pearl oyster Pinctada imbricata radiata.
John A. Theodorou +9 more
doaj +1 more source
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent [PDF]
, 2007 The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose a family of random coordinate descent algorithms to directly minimize the 0 ...
Li, Ling, Lin, Hsuan-Tien
core +1 more source