research
∙
07/25/2023
SplitFed resilience to packet loss: Where to split, that is the question
Decentralized machine learning has broadened its scope recently with the...
share
research
∙
04/28/2023
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations
SplitFed Learning, a combination of Federated and Split Learning (FL and...
research
∙
02/13/2023
Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion
Time Series Classification (TSC) is an important and challenging task fo...
research
∙
05/04/2020
Illumination-Invariant Image from 4-Channel Images: The Effect of Near-Infrared Data in Shadow Removal
Removing the effect of illumination variation in images has been proved ...
research
∙
01/23/2020
Cloud-Net+: A Cloud Segmentation CNN for Landsat 8 Remote Sensing Imagery Optimized with Filtered Jaccard Loss Function
Cloud Segmentation is one of the fundamental steps in optical remote sen...
research
∙
10/14/2019
Preimplantation Blastomere Boundary Identification in HMC Microscopic Images of Early Stage Human Embryos
We present a novel method for identification of the boundary of embryoni...
research
∙
01/29/2019
Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery
Cloud detection in satellite images is an important first-step in many r...
research
∙
10/13/2018
Cloud Detection Algorithm for Remote Sensing Images Using Fully Convolutional Neural Networks
This paper presents a deep-learning based framework for addressing the p...
research
∙
10/13/2018
