Zobrazeno 1 - 10
of 556
pro vyhledávání: '"RUBENSTEIN, DANIEL"'
Autor:
Junquera, Victoria, Rubenstein, Daniel I., Levin, Simon A., Hormaza, José I., Pérez, Iñaki Vadillo, Gavilán, Pablo Jiménez
Spain is the largest producer of avocado and mango fruits in Europe. The majority of production is concentrated in the Axarqu\'ia region in the south, where subtropical fruit plantations and associated water demands have steadily increased over the l
Externí odkaz:
http://arxiv.org/abs/2408.00683
Loneliness and social isolation among farmers are growing public health concerns. The contributing factors are manifold, and some of them are linked to structural change in agriculture, for instance because of higher workloads, rural depopulation, or
Externí odkaz:
http://arxiv.org/abs/2407.20136
Autor:
Paul, Dipanjyoti, Chowdhury, Arpita, Xiong, Xinqi, Chang, Feng-Ju, Carlyn, David, Stevens, Samuel, Provost, Kaiya L., Karpatne, Anuj, Carstens, Bryan, Rubenstein, Daniel, Stewart, Charles, Berger-Wolf, Tanya, Su, Yu, Chao, Wei-Lun
We present a novel usage of Transformers to make image classification interpretable. Unlike mainstream classifiers that wait until the last fully connected layer to incorporate class information to make predictions, we investigate a proactive approac
Externí odkaz:
http://arxiv.org/abs/2311.04157
Autor:
Elhamod, Mohannad, Khurana, Mridul, Manogaran, Harish Babu, Uyeda, Josef C., Balk, Meghan A., Dahdul, Wasila, Bakış, Yasin, Bart Jr., Henry L., Mabee, Paula M., Lapp, Hilmar, Balhoff, James P., Charpentier, Caleb, Carlyn, David, Chao, Wei-Lun, Stewart, Charles V., Rubenstein, Daniel I., Berger-Wolf, Tanya, Karpatne, Anuj
Discovering evolutionary traits that are heritable across species on the tree of life (also referred to as a phylogenetic tree) is of great interest to biologists to understand how organisms diversify and evolve. However, the measurement of traits is
Externí odkaz:
http://arxiv.org/abs/2306.03228
This paper combines deep learning techniques for species detection, 3D model fitting, and metric learning in one pipeline to perform individual animal identification from photographs by exploiting unique coat patterns. This is the first work to attem
Externí odkaz:
http://arxiv.org/abs/2206.02261
Autor:
Cooney, Daniel B., Morris, Dylan H., Levin, Simon A., Rubenstein, Daniel I., Romanczuk, Pawel
Levels of sociality in nature vary widely. Some species are solitary; others live in family groups; some form complex multi-family societies. Increased levels of social interaction can allow for the spread of useful innovations and beneficial informa
Externí odkaz:
http://arxiv.org/abs/2202.09905
Publikováno v:
In Animal Behaviour May 2024 211:131-145
Publikováno v:
In Global Environmental Change January 2024 84
Autor:
Johnson, Ed, Cottingham, Kathy, Corley, Juan, Classen, Aimée, Peters, Debra, Wallace, Rich, Nilon, Charles, Nuttle, Tim, Templer, Pamela, Middendorf, George, Pouyat, Rich, Strickland, Dale, Petes, Laura, Huber-Sannwald, Elisabeth, Pataki, Diane, Muldavin, Esteban, Sharma, Ajay, Kominoski, John, Allison, Steven, Newman, Robert, Cook, Elizabeth, Bayer, Skylar, Schwarz, Kirsten, Budischak, Sarah, Ficken, Cari, Bauer, Jonathan, Gartner, Tracy, Meng, Lin, Salisbury, Allyson, Welch, Jessica, Chuang, Angela, Bunn, Rebecca, Muscarella, Mario, Lerman, Susannah, Loik, Michael E., Rafferty, Nicole, Rubenstein, Daniel, Scholes, Daniel, Stover, Daniel, Fujiwara, Masami, Oldfield, Callie, O’Dwyer, James, Palmquist, Kyle, Furey, George N., Provete, Diogo Borges, Kwit, Charles
Publikováno v:
Bulletin of the Ecological Society of America, 2022 Jan 01. 103(1), 1-85.
Externí odkaz:
https://www.jstor.org/stable/48638480
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