Results 41 to 50 of about 61,784 (267)

Poster: Clean-label Backdoor Attack on Graph Neural Networks

, 2022
Graph Neural Networks (GNNs) have achieved impressive results in various graph learning tasks. They have found their way into many applications, such as fraud detection, molecular property prediction, or knowledge graph reasoning. However, GNNs have been
Picek, S. (author), Xu, J. (author), Picek, S., Xu, J.   +3 more
core   +1 more source

Emerging ingredients for clean label products and food safety [PDF]

Brazilian Journal of Food Technology
Emerging markets comprise different healthy food products, such as functional foods including grains, fruits, and vegetables; foods for people with dietary restrictions; foods with clean labels, plant-based and organic ingredients, as well as ingredient ...
Elizabeth Harumi Nabeshima, Paulo Eduardo da Rocha Tavares, Ana Lúcia da Silva Corrêa Lemos, Sílvia Cristina Sobottka Rolim de Moura   +3 more
doaj   +1 more source

The Impact of HPP-Assisted Biocontrol Approach on the Bacterial Communities’ Dynamics and Quality Parameters of a Fermented Meat Sausage Model

Biology, 2023
Traditional foods are increasingly valued by consumers, whose attention and purchase willingness are highly influenced by other claims such as ‘natural’, ‘sustainable’, and ‘clean label’.
Norton Komora, Cláudia Maciel, Joana Isidro, Carlos A. Pinto, Gianuario Fortunato, Jorge M. A. Saraiva, Paula Teixeira   +6 more
doaj   +1 more source

A review of clean-label approaches to chilli paste processing

, 2021
Consumer demand for clean-label food products is increasing. Moreover, the production of ready-to-cook products have begun to include clean-label efforts.
Sulaiman, Alifdalino, Jamaluddin, Faathirah, Mohd Adzahan, Noranizan, Mohamad, Azizah, Mohamad Azman, Ezzat, Yusof, Noor Liyana   +5 more
core   +1 more source

Improving Text Classification Accuracy by Training Label Cleaning [PDF]

ACM Transactions on Information Systems, 2013
In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain. Semisupervised learning and active learning are two strategies whose aim is maximizing the effectiveness of the resulting classifiers for a given amount of training effort.
Esuli A, Sebastiani F
openaire   +2 more sources

Clean-label techno-functional ingredients for baking products – a review

, 2023
International audienceThe increased awareness of consumers regarding unfamiliar labels speeded up the ongoing clean label trend. As baking products are widely consumed worldwide, the reduction of non-natural baking aids and improvers is of great interest
Le-Bail, Alain, Le-Bail, Patricia, Tiago Carregari Polachini, Norwood, Eve-Anne, Eve-Anne Norwood, Alain Le-Bail, Polachini, Tiago Carregari, Patricia Le-Bail   +7 more
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Clean label fresh sausage: characteristics throughout its shelf life [PDF]

Scientia Agricola
Consumers are increasingly demanding meat products that are natural and synthetic additive-free. This study aimed to develop a fresh pork sausage without synthetic additives and to evaluate the effects of this formulation on its physicochemical ...
Paula Regina Rabelo Sbardelotto, Marina Leite Mitterer-Daltoé, Evellin Balbinot-Alfaro, Alfredo Jorge Costa Teixeira, Alexandre da Trindade Alfaro   +4 more
doaj   +1 more source

Kallima: A Clean-Label Framework for Textual Backdoor Attacks

, 2022
Although Deep Neural Network (DNN) has led to unprecedented progress in various natural language processing (NLP) tasks, research shows that deep models are extremely vulnerable to backdoor attacks. The existing backdoor attacks mainly inject a small number of poisoned samples into the training dataset with the labels changed to the target one.
Xiaoyi Chen, Yinpeng Dong, Zeyu Sun 0005, Shengfang Zhai, Qingni Shen, Zhonghai Wu   +5 more
openaire   +2 more sources

Food safety in the age of transparency: clean label products in the post-Covid-19 era [PDF]

, 2023
Clean-label products are defined as foods and beverages formulated with simple, natural, and familiar ingredients, instead of using artificial ingredients and additives.
Veleșcu, Ionuț-Dumitru, Cozma, Andreea-Paula, Crivei, Luciana-Alexandra, Rațu, Roxana-Nicoleta, Stoica, Florina, Postolache, Alina-Narcisa, Crivei, Ioana-Cristina   +6 more
core   +1 more source

Consumers' willingness to pay for organic, clean label, and processed with a new food technology: an application to ready meals [PDF]

, 2021
Agri-food companies face the challenge that clean labels and organic are not possible for some processed foods – such as shelf-stable ready meals – with existing processing technologies.
Uddin, Azhar, Gallardo, R. Karina
core   +1 more source