3 papers
eess.IV2025
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
Bashir Alam, Masa Cirkovic, Mete Harun Akcay +6
Imbalanced datasets pose a considerable challenge in training deep learning (DL) models for medical diagnostics, particularly for segmentation tasks. Imbalance may be associated wi…
cs.SE2021
Online GANs for Automatic Performance Testing
Ivan Porres, Hergys Rexha, Sébastien Lafond
In this paper we present a novel algorithm for automatic performance testing that uses an online variant of the Generative Adversarial Network (GAN) to optimize the test generation…
cs.LG2021
Data Collection and Utilization Framework for Edge AI Applications
Hergys Rexha, Sebastien Lafond
As data being produced by IoT applications continues to explode, there is a growing need to bring computing power closer to the source of the data to meet the response time, power…