Search Results for author:
Found 4 papers, 2 papers with code
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges
Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps.
Combinatorial Auctions and Graph Neural Networks for Local Energy Flexibility Markets
This paper proposes a new combinatorial auction framework for local energy flexibility markets, which addresses the issue of prosumers' inability to bundle multiple flexibility time intervals.
Exploring MLOps Dynamics: An Experimental Analysis in a Real-World Machine Learning Project
The objective is to identify patterns and insights to enhance the MLOps workflow, considering its iterative and interdependent nature in real-world model development scenarios.
Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance Propagation
This paper contributes to automating medical image segmentation by proposing generative adversarial network-based models to segment both polyps and instruments in endoscopy images.
