I agree that this site is using cookies. You can find further informations
here
.
X
Login
My folder (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
Show Desktop-Version
Toggle navigation
Lozano-Milo, Eva
95
results:
Search for persons
X
Format
Online (95)
Mediatypes
Articles (Online) (62)
OpenAccess-fulltext (33)
Sorted by: Relevance
Sorted by: Year
?
1
Machine Learning Deciphers Genotype and Ammonium as Key Fac..:
Lozano-Milo, Eva
;
Landin, Mariana
;
Gallego, Pedro Pablo
.
Horticulturae. 8 (2022) 11 - p. 987 , 2022
Link:
https://doi.org/10.3390/..
?
2
Neurofuzzy logic predicts a fine-tuning metabolic reprogram..:
García-Pérez, Pascual
;
Lozano-Milo, Eva
;
Zhang, Leilei
...
Frontiers in Plant Science. 13 (2022) - p. , 2022
Link:
https://doi.org/10.3389/..
?
3
Phenolic profiling and in vitro bioactivities of three medi..:
García-Pérez, Pascual
;
Ayuso, Manuel
;
Lozano-Milo, Eva
...
Industrial Crops and Products. 162 (2021) - p. 113241 , 2021
Link:
https://doi.org/10.1016/..
?
4
The Combination of Untargeted Metabolomics and Machine Lear..:
García-Pérez, Pascual
;
Zhang, Leilei
;
Miras-Moreno, Begoña
...
Plants. 10 (2021) 11 - p. 2430 , 2021
Link:
https://doi.org/10.3390/..
?
5
Machine Learning Unmasked Nutritional Imbalances on the Med..:
García-Pérez, Pascual
;
Lozano-Milo, Eva
;
Landin, Mariana
.
Frontiers in Plant Science. 11 (2020) - p. , 2020
Link:
https://doi.org/10.3389/..
?
6
From Ethnomedicine to Plant Biotechnology and Machine Learn..:
García-Pérez, Pascual
;
Lozano-Milo, Eva
;
Landin, Mariana
.
Pharmaceuticals. 13 (2020) 12 - p. 444 , 2020
Link:
https://doi.org/10.3390/..
?
7
Machine Learning Technology Reveals the Concealed Interacti..:
García-Pérez, Pascual
;
Lozano-Milo, Eva
;
Landín, Mariana
.
Biomolecules. 10 (2020) 5 - p. 746 , 2020
Link:
https://doi.org/10.3390/..
?
8
Combining Medicinal Plant In Vitro Culture with Machine Lea..:
García-Pérez, Pascual
;
Lozano-Milo, Eva
;
Landín, Mariana
.
Antioxidants. 9 (2020) 3 - p. 210 , 2020
Link:
https://doi.org/10.3390/..
?
9
Phenolic profiling and in vitro bioactivities of three medi..:
García-Pérez, Pascual
;
Ayuso, Manuel
;
Lozano-Milo, Eva
...
García-Pérez, Pascual; Ayuso, Manuel; Lozano-Milo, Eva; Pereira, Carla; Dias, Maria Inês; Ivanov, Marija; Calhelha, Ricardo C.; Soković, Marina; Ferreira, Isabel C.F.R.; Barros, Lillian; Gallego, Pedro P. (2021). Phenolic profiling and in vitro bioactivities of three medicinal Bryophyllum plants. Industrial Crops and Products. ISSN 0926-6690. 162, p. 1-9. , 2021
Link:
http://hdl.handle.net/10..
?
10
Plant Antioxidants in Food Emulsions:
García-Pérez, Pascual
;
Lozano-Milo, Eva
;
Gallego, Pedro P
...
ISBN:978-1-78985-781-8. , 2018
Link:
https://mts.intechopen.c..
?
11
DataSheet_2_Neurofuzzy logic predicts a fine-tuning metabol..:
Pascual García-Pérez
;
Eva Lozano-Milo
;
Leilei Zhang
...
doi:10.3389/fpls.2022.991557.s002. , 2022
Link:
https://doi.org/10.3389/..
?
12
Machine Learning Deciphers Genotype and Ammonium as Key Fac..:
Eva Lozano-Milo
;
Mariana Landin
;
Pedro Pablo Gallego
.
Developmental Physiology, Biochemistry, and Molecular Biology. , 2022
Link:
https://doi.org/10.3390/..
?
13
Neurofuzzy logic predicts a fine-tuning metabolic reprogram..:
Pascual García-Pérez
;
Eva Lozano-Milo
;
Leilei Zhang
...
https://www.frontiersin.org/articles/10.3389/fpls.2022.991557/full. , 2022
Link:
https://doi.org/10.3389/..
?
14
DataSheet_1_Neurofuzzy logic predicts a fine-tuning metabol..:
Pascual García-Pérez
;
Eva Lozano-Milo
;
Leilei Zhang
...
doi:10.3389/fpls.2022.991557.s001. , 2022
Link:
https://doi.org/10.3389/..
?
15
Machine Learning Deciphers Genotype and Ammonium as Key Fac..:
Eva Lozano-Milo
;
Mariana Landin
;
Pedro Pablo Gallego
.
https://www.mdpi.com/2311-7524/8/11/987. , 2022
Link:
https://doi.org/10.3390/..
1-15