Zobrazeno 1 - 10
of 97
pro vyhledávání: '"000” initiative"'
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 7 (2023)
Food systems emit 21%-37% of the global greenhouse gases (GHGs). Soil degradation, accelerated by global warming, poses a threat to over 40% of the land surfaces, threatening food security. Keeping soils alive and healthy could not only play a part i
Externí odkaz:
https://doaj.org/article/6cdb3d9b068149749d0db69cbea08ab5
Autor:
Heitz, Lucien, Lischka, Juliane A, Birrer, Alena, Paudel, Bibek, Tolmeijer, Suzanne, Laugwitz, Laura, Bernstein, Abraham
Publikováno v:
Digital Journalism. 10:1710-1730
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7d55d8e15eecadf71706d0044159aee
https://doi.org/10.1080/21670811.2021.2021804
https://doi.org/10.1080/21670811.2021.2021804
Publikováno v:
Climatic Change, 176 (2)
Climate change poses a severe threat to global agricultural production and rural livelihoods, and since agriculture itself is a significant source of greenhouse gas (GHG) emissions, it can also play an important role in climate change mitigation. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4957252c4f2c1fad792eff2759952608
https://www.zora.uzh.ch/id/eprint/228063/
https://www.zora.uzh.ch/id/eprint/228063/
Autor:
Lena A. Jäger, Paul Prasse, David R Reich, Daniel Krakowczyk, Silvia Makowski, Tobias Scheffer
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. 3:506-518
We study involuntary micro-movements of both eyes, in addition to saccadic macro-movements, as biometric characteristic. We develop a deep convolutional neural network that processes binocular eye-tracking signals and verifies the viewer’s identity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73d1a949f6f7d9e982dcbfce9ae74da4
https://doi.org/10.1109/tbiom.2021.3116875
https://doi.org/10.1109/tbiom.2021.3116875
Slides of the Tutorial "Open Challenges of Interactive Video Search and Evaluation" presented at ACM Multimedia 2022.
{"references":["https://dl.acm.org/doi/10.1145/3503161.3546973"]}
{"references":["https://dl.acm.org/doi/10.1145/3503161.3546973"]}
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc7ea0b36a4a7227994f1c4cab999a6b
https://doi.org/10.5167/uzh-221242
https://doi.org/10.5167/uzh-221242
Autor:
Mennatallah El-Assady, Rita Sevastjanova, Jürgen Bernard, Fabian Sperrle, Rebecca Kehlbeck, Wolfgang Jentner
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 11:1-38
Linguistic insight in the form of high-level relationships and rules in text builds the basis of our understanding of language. However, the data-driven generation of such structures often lacks labeled resources that can be used as training data for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ef5574fcd05a4883deb60155aea8660
https://doi.org/10.1145/3429448
https://doi.org/10.1145/3429448
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 11:1-42
Strategies for selecting the next data instance to label, in service of generating labeled data for machine learning, have been considered separately in the machine learning literature on active learning and in the visual analytics literature on huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df5c5ec49b7a569eaac7be5cc29f79cf
https://doi.org/10.1145/3439333
https://doi.org/10.1145/3439333
Task abstractions and taxonomic structures for tasks are useful for designers of interactive data analysis approaches, serving as design targets and evaluation criteria alike. For individual data types, dataset-specific taxonomic structures capture u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbefa57209c2e9a9e8adcf30a8e6dcc8
http://arxiv.org/abs/2209.10181
http://arxiv.org/abs/2209.10181