VisuaLizations As Intermediate Representations (VLAIR) : an approach for applying deep learning-based computer vision to non-image-based data

We thank the China Scholarship Council (CSC) for financially supporting my PhD study at University of St Andrews, UK, and NSERC Discovery Grant 2020-04401 (Miguel Nacenta).Deep learning algorithms increasingly support automated systems in areas such as human activity recognition and purchase recommendation. We identify a current trend in which data is transformed first into abstract visualizations and then processed by a computer vision deep learning pipeline. We call this VisuaLization As Intermediate Representation (VLAIR) and believe that it can be instrumental to support accurate recognition in a number of fields while also enhancing humans’ ability to interpret deep learning models for debugging purposes or in personal use. In this paper we describe the potential advantages of this approach and explore various visualization mappings and deep learning architectures. We evaluate several VLAIR alternatives for a specific problem (human activity recognition in an apartment) and show that VLAIR attains classification accuracy above classical machine learning algorithms and several other non-image-based deep learning algorithms with several data representations.Publisher PDFPeer reviewe

Emerg Infect Dis

Emerging Infectious Diseases is providing access to these abstracts on behalf of the ICEID 2022 program committee (http://www.iceid.org), which performed peer review. ICEID is organized by the Centers for Disease Control and Prevention and Task Force for Global Health, Inc.Emerging Infectious Diseases has not edited or proofread these materials and is not responsible for inaccuracies or omissions. All information is subject to change. Comments and corrections should be brought to the attention of the authors.Suggested citation: Authors. Title [abstract]. International Conference on Emerging Infectious Diseases 2022 poster and oral presentation abstracts. Emerg Infect Dis. 2022 Sep [date cited]. http://www.cdc.gov/EID/pdfs/ICEID2022.pdf2022PMC94238981187

Unmet goals of tracking: within-track heterogeneity of students' expectations for

Educational systems are often characterized by some form(s) of ability grouping, like tracking. Although substantial variation in the implementation of these practices exists, it is always the aim to improve teaching efficiency by creating homogeneous groups of students in terms of capabilities and performances as well as expected pathways. If students’ expected pathways (university, graduate school, or working) are in line with the goals of tracking, one might presume that these expectations are rather homogeneous within tracks and heterogeneous between tracks. In Flanders (the northern region of Belgium), the educational system consists of four tracks. Many students start out in the most prestigious, academic track. If they fail to gain the necessary credentials, they move to the less esteemed technical and vocational tracks. Therefore, the educational system has been called a 'cascade system'. We presume that this cascade system creates homogeneous expectations in the academic track, though heterogeneous expectations in the technical and vocational tracks. We use data from the International Study of City Youth (ISCY), gathered during the 2013-2014 school year from 2354 pupils of the tenth grade across 30 secondary schools in the city of Ghent, Flanders. Preliminary results suggest that the technical and vocational tracks show more heterogeneity in student’s expectations than the academic track. If tracking does not fulfill the desired goals in some tracks, tracking practices should be questioned as tracking occurs along social and ethnic lines, causing social inequality

Esa 12th Conference: Differences, Inequalities and Sociological Imagination: Abstract Book

Esa 12th Conference: Differences, Inequalities and Sociological Imagination: Abstract Boo

Innovative Research for Organic 3.0 - Proceedings of the Scientific Track

The future challenges in food production and consumption appear clear: - Feed 9 to 11 billion people in the next 30 to 80 years with enough, affordable and healthy food. - Protect the environment (e.g. soils, water, air, biodiversity and landscapes) whilst increasingly under pressure to achieve greater levels of intensification. - Mitigate greenhouse gas emissions and adapt to climate change in all farming systems and value chains. - Incorporate novel ethics, food habits, demographics and lifestyles into the food chains. - Produce food on limited farmland and fossil (non-renewable) resources efficiently and profitably. Several findings from scientific research and practical applications suggest that organic food and farming systems can help in tackling these future challenges.1The 'low external input' approach, risk minimizing strategies and ethically accepted production practices of organic food and farming systemscan help to produce more affordable food for an increasing number of people while minimizing environmental impacts. However, resource efficiency, low-meat diets and reducing food waste are also essential factors that have to be considered. From a global perspective, organic food and farming systems is still a niche sector, as less than 1% of global farmland is managed organically and only a small proportion of the global population is consuming organic food in significant amounts. Production yields are relatively low, and the goals of organic food and farming systems, described in the principles and standards, are not achieved on every farm. This needs further development based on scientific evidence and good management practices. A lot has been done already to develop organic food and farming systems. Nevertheless, to assure, that organic food and farming systems becomes a significant part of the solutions for the future challenges in the food and farming sector, there is still much to do. The Scientific Track at the Organic World Congress 2017 in Delhi, India, will contribute to the global discussion on Organic 3.0, and taking the opportunity to answers some of the challenges in the context of the Indian subcontinent in particular. After a double-blind review, done by 120 reviewers from various disciplines from many experienced research institutions throughout the world, about 183papers from 50 countries have been accepted. All the papers in these proceedings can be also foundon the database "Organic Eprints" (www.orgprints.org). The Scientific Board of the Organic World Congress 2017 Delhi, November 201