research
∙
04/22/2023
A Review of Deep Learning for Video Captioning
Video captioning (VC) is a fast-moving, cross-disciplinary area of resea...
share
research
∙
04/11/2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing
Although neural networks (especially deep neural networks) have achieved...
research
∙
03/17/2023
SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data
In this paper, a new feature selection algorithm, called SFE (Simple, Fa...
research
∙
10/07/2021
Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization
Uncertainty quantification of machine learning and deep learning methods...
research
∙
08/24/2021
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Breast histology image classification is a crucial step in the early dia...
research
∙
05/18/2021
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection
The COVID-19 (Coronavirus disease 2019) has infected more than 151 milli...
research
∙
11/17/2020
A Review of Generalized Zero-Shot Learning Methods
Generalized zero-shot learning (GZSL) aims to train a model for classify...
research
∙
11/12/2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Uncertainty quantification (UQ) plays a pivotal role in reduction of unc...
research
∙
08/23/2020
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)
Understanding data and reaching valid conclusions are of paramount impor...
research
∙
07/07/2020