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EVA CERNADAS
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Name
Affiliation
Papers
EVA CERNADAS
Dept. of Electronics and Computer Science, Univ. de Santiago de Compostela, Santiago de Compostela, Spain
22
Collaborators
Citations
PageRank
58
397
20.30
Referers
Referees
References
1326
497
252
Search Limit
100
1000
Publications (22 rows)
Collaborators (58 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Quick extreme learning machine for large-scale classification
1
0.37
2022
Ideal kernel tuning: Fast and scalable selection of the radial basis kernel spread for support vector classification
0
0.34
2022
Fast Support Vector Classification for Large-Scale Problems
1
0.65
2022
Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression
0
0.34
2022
CystAnalyser: A new software tool for the automatic detection and quantification of cysts in Polycystic Kidney and Liver Disease, and other cystic disorders.
0
0.34
2020
An extensive experimental survey of regression methods.
5
0.58
2019
Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces
0
0.34
2019
Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods.
1
0.35
2018
Classification of agricultural soil parameters in India.
6
0.52
2017
Influence of normalization and color space to color texture classification.
8
0.48
2017
Govocitos: A software tool for estimating fish fecundity based on digital analysis of histological images.
0
0.34
2016
On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes
1
0.35
2016
A Multi-Platform Graphical Software For Determining Reproductive Parameters In Fishes Using Histological Image Analysis
0
0.34
2015
Direct Kernel Perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation.
14
0.75
2014
Do we need hundreds of classifiers to solve real world classification problems?
342
10.09
2014
Direct parallel perceptrons (DPPs): fast analytical calculation of the parallel perceptrons weights with margin control for classification tasks.
8
0.81
2011
Statistical and wavelet based texture features for fish oocytes classification
1
0.36
2011
Fast Weight Calculation For Kernel-Based Perceptron In Two-Class Classification Problems
2
0.39
2010
A Parallel Perceptron Network For Classification With Direct Calculation Of The Weights Optimizing Error And Margin
0
0.34
2010
Determine the Composition of Honeybee Pollen by Texture Classification
1
0.43
2003
Detection Of Mammographic Microcalcifications Using A Statistical Model
6
1.47
1998
An Automatic Non-Deforming Technique For Selective Microcalcifications Enhancement
0
0.34
1998
1