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06/16/2023
Vehicle Occurrence-based Parking Space Detection
Smart-parking solutions use sensors, cameras, and data analysis to impro...
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05/24/2022
Fast Furious: Modelling Malware Detection as Evolving Data Streams
Malware is a major threat to computer systems and imposes many challenge...
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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...
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10/30/2020
Machine Learning (In) Security: A Stream of Problems
Machine Learning (ML) has been widely applied to cybersecurity, and is c...
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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...
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10/13/2020
Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation
Usually, in a real-world scenario, few signature samples are available t...
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10/13/2020
Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service
In recent years, there has been an increased interest in the application...
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09/21/2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
The COVID-19 pandemic is undoubtedly one of the biggest public health cr...
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05/18/2020
Single-sample writers – "Document Filter" and their impacts on writer identification
The writing can be used as an important biometric modality which allows ...
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11/21/2019
Ocular Recognition Databases and Competitions: A Survey
The use of the iris and periocular region as biometric traits has been e...
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10/17/2019
Meta-learning for fast classifier adaptation to new users of Signature Verification systems
Offline Handwritten Signature verification presents a challenging Patter...
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06/22/2019
Image Retrieval and Pattern Spotting using Siamese Neural Network
This paper presents a novel approach for image retrieval and pattern spo...
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04/09/2019
Evaluating Competence Measures for Dynamic Regressor Selection
Dynamic regressor selection (DRS) systems work by selecting the most com...
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01/10/2019
Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification
The phenomenon of Adversarial Examples is attracting increasing interest...
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08/29/2018
The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments
The use of iris as a biometric trait is widely used because of its high ...
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04/02/2018
Fixed-sized representation learning from Offline Handwritten Signatures of different sizes
Methods for learning feature representations for Offline Handwritten Sig...
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02/26/2018
A Robust Real-Time Automatic License Plate Recognition based on the YOLO Detector
Automatic License Plate Recognition (ALPR) has been a frequent topic of ...
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09/12/2017
Multi-scale Forest Species Recognition Systems for Reduced Cost
This work focuses on cost reduction methods for forest species recogniti...
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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...
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07/15/2016
Analyzing features learned for Offline Signature Verification using Deep CNNs
Research on Offline Handwritten Signature Verification explored a large ...
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04/04/2016
Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networks
Automatic Offline Handwritten Signature Verification has been researched...
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07/28/2015