research
∙
06/16/2022
Local overlap reduction procedure for dynamic ensemble selection
Class imbalance is a characteristic known for making learning more chall...
share
research
∙
05/20/2022
Dynamic Ensemble Selection Using Fuzzy Hyperboxes
Most dynamic ensemble selection (DES) methods utilize the K-Nearest Neig...
research
∙
11/03/2020
Classifier Pool Generation based on a Two-level Diversity Approach
This paper describes a classifier pool generation method guided by the d...
research
∙
10/29/2020
A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition
Over the last decades, most approaches proposed for handwritten digit st...
research
∙
10/19/2020
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification
SigNet is a state of the art model for feature representation used for h...
research
∙
10/13/2020
Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation
Usually, in a real-world scenario, few signature samples are available t...
research
∙
07/16/2020
Random Forest for Dissimilarity-based Multi-view Learning
Many classification problems are naturally multi-view in the sense their...
research
∙
07/06/2020
A Novel Random Forest Dissimilarity Measure for Multi-View Learning
Multi-view learning is a learning task in which data is described by sev...
research
∙
04/07/2020
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control
This paper investigates the presence of overfitting when using Binary Pa...
research
∙
04/03/2020
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification
High number of writers, small number of training samples per writer with...
research
∙
04/01/2020
Multi-label learning for dynamic model type recommendation
Dynamic selection techniques aim at selecting the local experts around e...
research
∙
10/17/2019
Meta-learning for fast classifier adaptation to new users of Signature Verification systems
Offline Handwritten Signature verification presents a challenging Patter...
research
∙
09/26/2019
A Decision-Based Dynamic Ensemble Selection Method for Concept Drift
We propose an online method for concept driftdetection based on dynamic ...
research
∙
01/10/2019
Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification
The phenomenon of Adversarial Examples is attracting increasing interest...
research
∙
11/23/2018
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Research on adversarial examples in computer vision tasks has shown that...
research
∙
11/22/2018
ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning
Class-imbalance refers to classification problems in which many more ins...
research
∙
11/01/2018
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection
In dynamic selection (DS) techniques, only the most competent classifier...
research
∙
11/01/2018
META-DES.H: a dynamic ensemble selection technique using meta-learning and a dynamic weighting approach
In Dynamic Ensemble Selection (DES) techniques, only the most competent ...
research
∙
11/01/2018
On Meta-Learning for Dynamic Ensemble Selection
In this paper, we propose a novel dynamic ensemble selection framework u...
research
∙
11/01/2018
META-DES.Oracle: Meta-learning and feature selection for ensemble selection
The key issue in Dynamic Ensemble Selection (DES) is defining a suitable...
research
∙
09/30/2018
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning
Dynamic ensemble selection systems work by estimating the level of compe...
research
∙
09/05/2018
Online local pool generation for dynamic classifier selection: an extended version
Dynamic Classifier Selection (DCS) techniques have difficulty in selecti...
research
∙
07/26/2018
A writer-independent approach for offline signature verification using deep convolutional neural networks features
The use of features extracted using a deep convolutional neural network ...
research
∙
06/20/2018
Dynamic voting in multi-view learning for radiomics applications
Cancer diagnosis and treatment often require a personalized analysis for...
research
∙
04/21/2018
Dynamic Ensemble Selection VS K-NN: why and when Dynamic Selection obtains higher classification performance?
Multiple classifier systems focus on the combination of classifiers to o...
research
∙
04/20/2018
An Ensemble Generation Method Based on Instance Hardness
In Machine Learning, ensemble methods have been receiving a great deal o...
research
∙
04/20/2018
An Ensemble Generation MethodBased on Instance Hardness
In Machine Learning, ensemble methods have been receiving a great deal o...
research
∙
04/18/2018
K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection
Dynamic Ensemble Selection (DES) techniques aim to select locally compet...
research
∙
04/02/2018
Fixed-sized representation learning from Offline Handwritten Signatures of different sizes
Methods for learning feature representations for Offline Handwritten Sig...
research
∙
03/29/2018
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images
Breast cancer is one of the most common types of cancer and leading canc...
research
∙
03/12/2018
Dissimilarity-based representation for radiomics applications
Radiomics is a term which refers to the analysis of the large amount of ...
research
∙
03/11/2018
On dynamic ensemble selection and data preprocessing for multi-class imbalance learning
Class-imbalance refers to classification problems in which many more ins...
research
∙
02/27/2018
Deep Learning Architectures for Face Recognition in Video Surveillance
Face recognition (FR) systems for video surveillance (VS) applications a...
research
∙
02/14/2018
DESlib: A Dynamic ensemble selection library in Python
DESlib is an open-source python library providing the implementation of ...
research
∙
05/16/2017
Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks
Verifying the identity of a person using handwritten signatures is chall...
research
∙
07/15/2016
Analyzing features learned for Offline Signature Verification using Deep CNNs
Research on Offline Handwritten Signature Verification explored a large ...
research
∙
04/04/2016
Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networks
Automatic Offline Handwritten Signature Verification has been researched...
research
∙
09/02/2015
A DEEP analysis of the META-DES framework for dynamic selection of ensemble of classifiers
Dynamic ensemble selection (DES) techniques work by estimating the level...
research
∙
07/28/2015
Offline Handwritten Signature Verification - Literature Review
The area of Handwritten Signature Verification has been broadly research...
research
∙
07/01/2015
Evaluation of Genotypic Diversity Measurements Exploited in Real-Coded Representation
Numerous genotypic diversity measures (GDMs) are available in the litera...
research
∙
08/18/2014
Offline Signature-Based Fuzzy Vault (OSFV: Review and New Results
An offline signature-based fuzzy vault (OSFV) is a bio-cryptographic imp...
research
∙
08/13/2014
