Set similarity measures for images based on collective knowledge
This work introduces a new class of group similarity where different measures are
parameterized with respect to a basic similarity defined on the elements of the sets. Group …
parameterized with respect to a basic similarity defined on the elements of the sets. Group …
Semantic context extraction from collaborative networks
V Franzoni, A Milani - 2015 IEEE 19th International Conference …, 2015 - ieeexplore.ieee.org
A novel method for the automatic online extraction of contexts from collaborative explanation
network is introduced. The method explore an unknown online collaborative network in …
network is introduced. The method explore an unknown online collaborative network in …
A multistrain bacterial diffusion model for link prediction
Topological link prediction is the task of assessing the likelihood of new future links based
on topological properties of entities in a network at a given time. In this paper, we introduce a …
on topological properties of entities in a network at a given time. In this paper, we introduce a …
Multi-path traces in semantic graphs for latent knowledge elicitation
S Pallottelli, V Franzoni, A Milani - 2015 11th International …, 2015 - ieeexplore.ieee.org
In this work an online collaborative semantic network is explored. The method used is based
on multi-path traces for extracting latent contextual knowledge, which explores an unknown …
on multi-path traces for extracting latent contextual knowledge, which explores an unknown …
Sharing linkable learning objects with the use of metadata and a taxonomy assistant for categorization
V Franzoni, S Tasso, S Pallottelli, D Perri - … 1–4, 2019, Proceedings, Part II …, 2019 - Springer
In this work, a re-design of the Moodledata module functionalities is presented to share
learning objects between e-learning content platforms, eg, Moodle and G-Lorep, in a …
learning objects between e-learning content platforms, eg, Moodle and G-Lorep, in a …
ILP-based modulo scheduling and binding for register minimization
A key element for achieving high throughput, eg circuits generated with high-level synthesis
(HLS) methods and model-based hardware design, is the use of modulo scheduling. Integer …
(HLS) methods and model-based hardware design, is the use of modulo scheduling. Integer …
Clustering facebook for biased context extraction
Facebook comments and shared posts often convey human biases, which play a pivotal role
in information spreading and content consumption, where short information can be quickly …
in information spreading and content consumption, where short information can be quickly …
A pheromone-like model for semantic context extraction from collaborative networks
V Franzoni, A Milani - … on Web Intelligence and Intelligent Agent …, 2015 - ieeexplore.ieee.org
The extraction of semantic contexts is a relevant issue in information retrieval to provide high
quality query results. This paper introduces the semantic context underlying a set of given …
quality query results. This paper introduces the semantic context underlying a set of given …
Analysis of tweets to find the basis of popularity based on events semantic similarity
Purpose The purpose of this paper is to propose and experiment a framework for analysing
the tweets to find the basis of popularity of a person and extract the reasons supporting the …
the tweets to find the basis of popularity of a person and extract the reasons supporting the …
Sentiment extraction and classification for the analysis of users' interest in tweets
Purpose This paper aims to propose an approach for the analysis of user interest based on
tweets, which can be used in the design of user recommendation systems. The extract topics …
tweets, which can be used in the design of user recommendation systems. The extract topics …