Search Results for author:
Found 6 papers, 3 papers with code
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling
We propose a use case study, for skin lesion diagnosis, illustrating how it is possible to provide the practitioner with explanations on the decisions of a state of the art deep neural network classifier trained to characterize skin lesions from examples.
On some Foundational Aspects of Human-Centered Artificial Intelligence
The burgeoning of AI has prompted recommendations that AI techniques should be "human-centered".
Explainable Deep Image Classifiers for Skin Lesion Diagnosis
A key issue in critical contexts such as medical diagnosis is the interpretability of the deep learning models adopted in decision-making systems.
Benchmarking and Survey of Explanation Methods for Black Box Models
The widespread adoption of black-box models in Artificial Intelligence has enhanced the need for explanation methods to reveal how these obscure models reach specific decisions.
Predicting seasonal influenza using supermarket retail records
In this paper, we propose the use of a novel data source, namely retail market data to improve seasonal influenza forecasting.
NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks
Nowadays the analysis of dynamics of and on networks represents a hot topic in the Social Network Analysis playground.
Social and Information Networks 05C85, 60J60, 90C35 G.2.2; F.2.1
