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Found 7 papers, 3 papers with code
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.
Simultaneous Iris and Periocular Region Detection Using Coarse Annotations
In this work, we propose to detect the iris and periocular regions simultaneously using coarse annotations and two well-known object detectors: YOLOv2 and Faster R-CNN.
A Benchmark for Iris Location and a Deep Learning Detector Evaluation
The iris is considered as the biometric trait with the highest unique probability.
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
