Alessio Bechini
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View article: Devising an actor-based middleware support to federated learning experiments and systems
Devising an actor-based middleware support to federated learning experiments and systems Open
Federated Learning (FL) recently emerged as a practical privacy-preserving paradigm to exploit data distributed over separated repositories for Machine Learning purposes, with no need to migrate data. FL algorithms entail concerted activit…
View article: Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration
Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration Open
The emergence of the highly contagious coronavirus disease has led to multiple pandemic waves, resulting in a significant number of hospitalizations and fatalities. Even outside of hospitals, general practitioners have faced serious challe…
View article: An Application for Federated Learning of XAI Models in Edge Computing Environments
An Application for Federated Learning of XAI Models in Edge Computing Environments Open
The next generation of wireless networks will feature an increasing number of connected devices which will produce an unprecedented volume of data. Knowledge extraction from decentralized data imposes the exploitation of computing and lear…
View article: From basic approaches to novel challenges and applications in Sequential Pattern Mining
From basic approaches to novel challenges and applications in Sequential Pattern Mining Open
Sequential Pattern Mining (SPM) is a branch of data mining that deals with finding statistically relevant regularities of patterns in sequentially ordered data. It has been an active area of research since mid 1990s. Even if many prime alg…
View article: A Clinical Tool for Prognosis and Speech Rehabilitation in Dysarthric Patients: The DESIRE Project
A Clinical Tool for Prognosis and Speech Rehabilitation in Dysarthric Patients: The DESIRE Project Open
View article: Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis
Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis Open
Regression Trees (RTs) have been widely used in the last decades in various domains, also thanks to their inherent explainability. Fuzzy RTs (FRTs) extend RTs by using fuzzy sets and have proven to be particularly suitable for dealing with…
View article: A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting
A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting Open
In the last years, there has been an ever-increasing interest in profiling various aspects of city life, especially in the context of smart cities. This interest has become even more relevant recently when we have realized how dramatic eve…
View article: Responsible Artificial Intelligence as a Driver of Innovation in Society and Industry
Responsible Artificial Intelligence as a Driver of Innovation in Society and Industry Open
We describe the most recent research activities of the Artificial Intelligence R&D (AI-RD) group of the Department of Information Engineering of the University of Pisa. The group includes the authors of this contribution (one full professo…
View article: A Federated Fuzzy c-means Clustering Algorithm
A Federated Fuzzy c-means Clustering Algorithm Open
Traditional clustering algorithms require data to be centralized on a single machine or in a datacenter. Due to privacy issues and traffic limitations, in several real applications data cannot be transferred, thus hampering the effectivene…
View article: Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application
Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application Open
The content posted by users on Social Networks represents an important source of information for a myriad of applications in the wide field known as ‘social sensing’. The Twitter platform in particular hosts the thoughts, opinions and comm…
View article: TSF-DBSCAN: A Novel Fuzzy Density-Based Approach for Clustering Unbounded Data Streams
TSF-DBSCAN: A Novel Fuzzy Density-Based Approach for Clustering Unbounded Data Streams Open
In recent years, several clustering algorithms have been proposed with the aim of mining knowledge from streams of data generated at a high speed by a variety of hardware platforms and software applications. Among these algorithms, density…
View article: An analysis of boosted ensembles of binary fuzzy decision trees
An analysis of boosted ensembles of binary fuzzy decision trees Open
View article: Comparing ensemble strategies for deep learning: An application to facial expression recognition
Comparing ensemble strategies for deep learning: An application to facial expression recognition Open
View article: Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach
Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach Open
View article: Monitoring the public opinion about the vaccination topic from tweets analysis
Monitoring the public opinion about the vaccination topic from tweets analysis Open
View article: A Distributed Fuzzy Associative Classifier for Big Data
A Distributed Fuzzy Associative Classifier for Big Data Open
Fuzzy associative classification has not been widely analyzed in the literature, although associative classifiers (ACs) have proved to be very effective in different real domain applications. The main reason is that learning fuzzy ACs is a…
View article: SwiSpot: modeling riboswitches by spotting out switching sequences
SwiSpot: modeling riboswitches by spotting out switching sequences Open
Motivation: Riboswitches are cis-regulatory elements in mRNA, mostly found in Bacteria, which exhibit two main secondary structure conformations. Although one of them prevents the gene from being expressed, the other conformation allows it…
View article: Extensive assessment of metrics on RNA secondary structures and relative ensembles
Extensive assessment of metrics on RNA secondary structures and relative ensembles Open
The ability to properly compare RNA secondary conformations is of prominent importance in many RNA structural investigations, and particularly in the study of non-coding RNAs (ncRNAs). Several different metrics have been proposed to catch …
View article: A MapReduce solution for associative classification of big data
A MapReduce solution for associative classification of big data Open