Search Results for author:
Found 8 papers, 3 papers with code
A First Look at Dataset Bias in License Plate Recognition
We performed experiments on eight datasets, four collected in Brazil and four in mainland China, and observed that each dataset has a unique, identifiable "signature" since a lightweight classification model predicts the source dataset of a license plate (LP) image with more than 95% accuracy.
CapsProm: A Capsule Network For Promoter Prediction
Locating the promoter region in DNA sequences is of paramount importance in the field of bioinformatics.
A Decidability-Based Loss Function
Nowadays, deep learning is the standard approach for a wide range of problems, including biometrics, such as face recognition and speech recognition, etc.
Towards better heartbeat segmentation with deep learning classification
In this work, we propose a feasible and real-time approach that works as a validation method for a heartbeat segmentation third-party algorithm.
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images
Thus, the main goal of this work is to propose an accurate yet efficient method in terms of memory and processing time for the problem of COVID-19 screening in chest X-rays.
Ocular Recognition Databases and Competitions: A Survey
The use of the iris and periocular region as biometric traits has been extensively investigated, mainly due to the singularity of the iris features and the use of the periocular region when the image resolution is not sufficient to extract iris information.
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 level of distinction and uniqueness.
Inter-Patient ECG Heartbeat Classification with Temporal VCG Optimized by PSO
Classifying arrhythmias can be a tough task for a human being and automating this task is highly desirable.
Ranked #5 on
Arrhythmia Detection
on MIT-BIH AR
