Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …

This paper reviews and extends the field of similarity-based classification, presenting new
analyses, algorithms, data sets, and a comprehensive set of experimental results for a rich …

Translating machine learning (ML) models effectively to clinical practice requires
establishing clinicians' trust. Explainability, or the ability of an ML model to justify its …

Visual analysis of multidimensional data requires expressive and effective ways to reduce
data dimensionality to encode them visually. Multidimensional projections (MDP) figure …

No Slide Title Page 1 Università degli Studi di Milano Master Degree in Computer Science
Information Management course Teacher: Alberto Ceselli Lecture 02 : 03/10/2012 Page 2 2 …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

Presents a review of 200 references in content-based image retrieval. The paper starts with
discussing the working conditions of content-based retrieval: patterns of use, types of …

In this paper we survey methods for performing a comparative graph analysis and explain
the history, foundations and differences of such techniques of the last 50 years. While …

In this manuscript, two generalizations of fuzzy sets, intuitionistic fuzzy sets and picture fuzzy
sets, known as spherical fuzzy sets and T-spherical fuzzy sets, are discussed and a …

Automatic recovery of 3D human pose from monocular image sequences is a challenging
and important research topic with numerous applications. Although current methods are …