Ignacio Barrio

12 papers B 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Deep learning modelling for non-invasive grape bunch detection under diverse occlusion conditions.
Comput. Electron. Agric.
Rubén Íñiguez, Salvador Gutiérrez, Carlos Poblete-Echeverría, Inés Hernández, Ignacio Barrio, Javier Tardáguila
2024 J jnl
In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine.
Comput. Electron. Agric.
Inés Hernández, Salvador Gutiérrez, Ignacio Barrio, Rubén Íñiguez, Javier Tardáguila
2024 J jnl
Small data deep learning methodology for in-field disease detection.
CoRR
David Herrera-Poyatos, Jacinto Domínguez-Rull, Rosana Montes, Inés Hernández, Ignacio Barrio, Carlos Poblete-Echeverría, Javier Tardáguila, Francisco Herrera, Andrés Herrera-Poyatos
2021 J jnl
Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions.
Comput. Electron. Agric.
Salvador Gutiérrez, Inés Hernández, Sara Ceballos, Ignacio Barrio, Ana Díez Navajas, Javier Tardáguila
2021 J jnl
Monitoring and Mapping Vineyard Water Status Using Non-Invasive Technologies by a Ground Robot.
Remote. Sens.
Juan Fernández-Novales, Verónica Sáiz-Rubio, Ignacio Barrio, Francisco Rovira-Más, Andrés Cuenca-Cuenca, Fernando Alves, Joana Valente, Javier Tardáguila, María-Paz Diago
2018 J jnl
vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis.
Comput. Electron. Agric.
Arturo Aquino, Ignacio Barrio, María-Paz Diago, Borja Millán, Javier Tardáguila
2009 J jnl
An experimental study on methods for the selection of basis functions in regression.
Neurocomputing
Ignacio Barrio, Enrique Romero, Lluís Belanche
2007 — conf
Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors.
ICANN (1)
Ignacio Barrio, Enrique Romero, Lluís Belanche
2007 — conf
Incremental and Decremental Learning for Linear Support Vector Machines.
ICANN (1)
Enrique Romero, Ignacio Barrio, Lluís Belanche
2007 B conf
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression.
IJCNN
Ignacio Barrio, Enrique Romero, Lluís Belanche
2007 — conf
Selection of Basis Functions Guided by the L2 Soft Margin.
ICANN (1)
Ignacio Barrio, Enrique Romero, Lluís Belanche
2006 B conf
On the selection of hidden neurons with heuristic search strategies for approximation.
ESANN
Ignacio Barrio, Enrique Romero, Lluís A. Belanche Muñoz
redb/extractors/macho_extractors/__init__.py
← Index redb/extractors/macho_extractors/__init__.py python 
# MachO extractors package

from .macho_features import MachOFeaturesExtractor
from .macho_segments import MachOSegmentExtractor
from .macho_imports import MachOImportExtractor
from .macho_exports import MachOExportExtractor
from .macho_dylibs import MachODylibExtractor
from .macho_signature import MachOSignatureExtractor
from .macho_similarity_hashes import MachOSimilarityHashExtractor
# MachOUniversalExtractor is deprecated - FAT binary relationships are now
# tracked via parent_sha256 column in redb_basic_properties
# from .macho_universal import MachOUniversalExtractor

__all__ = [
    'MachOFeaturesExtractor',
    'MachOSegmentExtractor',
    'MachOImportExtractor',
    'MachOExportExtractor',
    'MachODylibExtractor',
    'MachOSignatureExtractor',
    'MachOSimilarityHashExtractor',
    # 'MachOUniversalExtractor',  # Deprecated
]