Zobrazeno 1 - 10
of 876
pro vyhledávání: '"Loarca, A."'
Autor:
Kolek, Stefan, Chattopadhyay, Aditya, Chan, Kwan Ho Ryan, Andrade-Loarca, Hector, Kutyniok, Gitta, Vidal, Réne
Information Pursuit (IP) is an explainable prediction algorithm that greedily selects a sequence of interpretable queries about the data in order of information gain, updating its posterior at each step based on observed query-answer pairs. The stand
Externí odkaz:
http://arxiv.org/abs/2312.11548
Autor:
Jenyne Loarca, Tyr Wiesner-Hanks, Hector Lopez-Moreno, Andrew F. Maule, Michael Liou, Maria Alejandra Torres-Meraz, Luis Diaz-Garcia, Jennifer Johnson-Cicalese, Jeffrey Neyhart, James Polashock, Gina M. Sideli, Christopher F. Strock, Craig T. Beil, Moira J. Sheehan, Massimo Iorizzo, Amaya Atucha, Juan Zalapa
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-19 (2024)
Abstract BerryPortraits (Phenotyping of Ripening Traits) is open source Python-based image-analysis software that rapidly detects and segments berries and extracts morphometric data on fruit quality traits such as berry color, size, shape, and unifor
Externí odkaz:
https://doaj.org/article/56865f1a509c4bb79553b41173547ac3
We introduce PoissonNet, an architecture for shape reconstruction that addresses the challenge of recovering 3D shapes from points. Traditional deep neural networks face challenges with common 3D shape discretization techniques due to their computati
Externí odkaz:
http://arxiv.org/abs/2308.01766
Autor:
Loarca, Jenyne1,2 (AUTHOR) jloarca@wisc.edu, Wiesner-Hanks, Tyr3 (AUTHOR) tw372@cornell.edu, Lopez-Moreno, Hector1,2 (AUTHOR), Maule, Andrew F.1,2 (AUTHOR), Liou, Michael4 (AUTHOR), Torres-Meraz, Maria Alejandra1,2 (AUTHOR), Diaz-Garcia, Luis1,2,5 (AUTHOR), Johnson-Cicalese, Jennifer6 (AUTHOR), Neyhart, Jeffrey6,7 (AUTHOR), Polashock, James6,7 (AUTHOR), Sideli, Gina M.6,8 (AUTHOR), Strock, Christopher F.3 (AUTHOR), Beil, Craig T.3 (AUTHOR) ctb94@cornell.edu, Sheehan, Moira J.3 (AUTHOR) moirasheehan@cornell.edu, Iorizzo, Massimo9,10 (AUTHOR), Atucha, Amaya1 (AUTHOR), Zalapa, Juan1,2 (AUTHOR) juan.zalapa@usda.gov
Publikováno v:
Plant Methods. 11/13/2024, Vol. 20 Issue 1, p1-19. 19p.
Publikováno v:
CVPR 2023
Image classifiers are known to be difficult to interpret and therefore require explanation methods to understand their decisions. We present ShearletX, a novel mask explanation method for image classifiers based on the shearlet transform -- a multisc
Externí odkaz:
http://arxiv.org/abs/2211.12857
In a hybrid neural network, the expensive convolutional layers are replaced by a non-trainable fixed transform with a great reduction in parameters. In previous works, good results were obtained by replacing the convolutions with wavelets. However, w
Externí odkaz:
http://arxiv.org/abs/2208.06882
Autor:
Andrew F. Maule, Jenyne Loarca, Luis Diaz-Garcia, Hector Lopez-Moreno, Jennifer Johnson-Cicalese, Nicholi Vorsa, Massimo Iorizzo, Jeffrey L. Neyhart, Juan E. Zalapa
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionFor nearly two centuries, cranberry (Vaccinium macrocarpon Ait.) breeders have improved fruit quality and yield by selecting traits on fruiting stems, termed “reproductive uprights.” Crop improvement is accelerating rapidly in contemp
Externí odkaz:
https://doaj.org/article/cac2705f0b434276ab232ec31440d3e5
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Nowadays, numerous governments have instituted diverse regulatory frameworks aimed at fostering the assimilation of sustainable energy sources characterized by reduced environmental footprints. Solar, wind, geothermal, and ocean energies were subject
Externí odkaz:
https://doaj.org/article/b5f597d0b9ff4dc39db43eaa322d303c
Autor:
Lillian M. Hislop, Claire H. Luby, Jenyne Loarca, Jodi Humann, Kim E. Hummer, Nahla Bassil, Dongyan Zhao, Moira J. Sheehan, Alexandra M. Casa, Grant T. Billings, Daniella M. Echeverria, Hudson Ashrafi, Ebrahiem Babiker, Patrick Edger, Mark K. Ehlenfeldt, Jim Hancock, Chad Finn, Massimo Iorizzo, Ted Mackey, Patricio R. Muñoz, James Olmstead, Lisa J. Rowland, Paul Sandefur, Jessica A. Spencer, Stephen Stringer, Nicholi Vorsa, Adam Wagner, Amanda M. Hulse-Kemp
Publikováno v:
HortScience, Vol 59, Iss 10 (2024)
Breeding programs around the world continually collect data on large numbers of individuals. To be able to combine data collected across regions, years, and experiments, research communities develop standard operating procedures for data collection a
Externí odkaz:
https://doaj.org/article/f24e4ff0ac1b4ed6a5f32d0138804ec4
Autor:
Luzardo-Ocampo, Ivan, Flores-Zavala, Daniela, Ramírez-Jiménez, Aurea K., Wall-Medrano, Abraham, Olivas-Aguirre, Francisco Javier, Loarca-Piña, Guadalupe, Gaytán-Martínez, Marcela
Publikováno v:
In Food Chemistry 15 February 2025 465 Part 2