Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ignacio Segovia-Dominguez"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12538-12544
More than US$ 27 billion is estimated to have been paid-out in farm support in USA alone since 1991 in response to climate change impacts on agriculture, with costs likely continuing to rise. With the wider adoption of precision agriculture - an agri
Autor:
Sinan G. Aksoy, Ryan Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V. Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt, Stephen J. Young
We present and discuss seven different open problems in applied combinatorics. The application areas relevant to this compilation include quantum computing, algorithmic differentiation, topological data analysis, iterative methods, hypergraph cut alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ee383a44567fb1bd8fb59f3abec14ee
Autor:
Andac Demir, Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia Gel, Bulent Kiziltan
In computer-aided drug discovery (CADD), virtual screening (VS) is used for identifying the drug candidates that are most likely to bind to a molecular target in a large library of compounds. Most VS methods to date have focused on using canonical co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbc55f87e54fbf2cc2ce61055f4e260c
http://arxiv.org/abs/2211.03808
http://arxiv.org/abs/2211.03808
Publikováno v:
SIGSPATIAL Special. 12:25-32
Prompt surveillance and forecasting of COVID-19 spread are of critical importance for slowing down the pandemic and for the success of any public mitigation efforts. However, as with any infectious disease with rapid transmission and high virulence,
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031059353
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1ac9865becfb06dd08bcd609b8d8bde
https://doi.org/10.1007/978-3-031-05936-0_40
https://doi.org/10.1007/978-3-031-05936-0_40
Autor:
Ignacio Segovia Dominguez, Krzysztof M. Gorski, Yulia R. Gel, Michael J. Garay, Yuzhou Chen, Huikyo Lee
Publikováno v:
KDD
Given that persons with a prior history of respiratory diseases tend to demonstrate more severe illness from COVID-19 and, hence, are at higher risk of serious symptoms, ambient air quality data from NASA's satellite observations might provide a crit
Autor:
Ignacio Segovia-Dominguez, Agustín Robles Morua, Jesús Horacio Hernández, Jorge Luis Morales, Francisco Antonio Horta Rangel
Publikováno v:
Atmósfera. 32:237-259
In the present work, two new generalized weighted methods of imputation of missing data are developed and tested using a daily rainfall series. The proposed methodology allows to fully rebuild the time series while preserving its statistical properti
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783030757618
PAKDD (1)
PAKDD (1)
Understanding the impact of atmospheric conditions on SARS-CoV2 is critical to model COVID-19 dynamics and sheds a light on the future spread around the world. Furthermore, geographic distributions of expected clinical severity of COVID-19 may be clo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1f2bf074aa89b8fb8735efa75898278
https://doi.org/10.1007/978-3-030-75762-5_17
https://doi.org/10.1007/978-3-030-75762-5_17
Autor:
Guillermo Sosa-Gómez, Israel Quiros Rodríguez, Jorge Luis Morales Martínez, Francisco Antonio Horta-Rangel, Ignacio Segovia-Dominguez
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 565:125611
Multifractal Detrended Fluctuation Analysis (MFDFA) is an efficient method to investigate the long-term correlations of the power law of non-stationary time series, in which the elimination of local trends usually depends upon a fixed-constant polyno
Autor:
Juan Pablo Serrano-Rubio, Ignacio Segovia-Dominguez, Arturo Hernández-Aguirre, Rafael Herrera-Guzman
Publikováno v:
Expert Systems with Applications. 144:113080
In this paper we introduce a crossover operator and a mutation operator, called Bernoulli Reflection Search Operator (BRSO) and Cauchy Distributed Inversion Search Operator (CDISO) respectively, in order to define the search mechanism of a new evolut