Renato De Leone
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View article: Two Novel Sparse Models for Support Vector Machines
Two Novel Sparse Models for Support Vector Machines Open
Based on the Support Vector Machine (SVM) and Twin Parametric Margin SVM (TPMSVM), this paper proposes two sparse models, named Sparse SVM (SSVM) and Sparse TPMSVM (STPMSVM). The study aims to achieve high sparsity, rapid prediction, and s…
View article: An Efficient Sparse Twin Parametric Insensitive Support Vector Regression Model
An Efficient Sparse Twin Parametric Insensitive Support Vector Regression Model Open
This paper proposes a novel sparse twin parametric insensitive support vector regression (STPISVR) model, designed to enhance sparsity and improve generalization performance. Similar to twin parametric insensitive support vector regression…
View article: A robust twin parametric margin support vector machine for multiclass classification
A robust twin parametric margin support vector machine for multiclass classification Open
View article: Probiotic SYNBIO® Blend’s Impact on Constipation in Healthy Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Probiotic SYNBIO® Blend’s Impact on Constipation in Healthy Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials Open
Aims: Research on probiotics for constipation management is still growing, and plays a crucial role in the definition of a management strategy for bowel wellbeing, constipation, and related outcomes. The present systematic review and meta-…
View article: Improved Dynamic Q-Learning Algorithm to Solve the Lot-Streaming Flowshop Scheduling Problem with Equal-Size Sublots
Improved Dynamic Q-Learning Algorithm to Solve the Lot-Streaming Flowshop Scheduling Problem with Equal-Size Sublots Open
The lot-streaming flowshop scheduling problem with equal-size sublots (ELFSP) is a significant extension of the classic flowshop scheduling problem, focusing on optimize makespan. In response, an improved dynamic Q-learning (IDQL) algorith…
View article: Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB Open
Bayesian Optimization (BO) is a class of surrogate-based black-box optimization heuristics designed to efficiently locate high-quality solutions for problems that are expensive to evaluate, and therefore allow only small evaluation budgets…
View article: Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB Open
This repository contains the code used to generate the results in the paper Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB and the data file of all the experiments.
View article: A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification
A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Open
View article: Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60
Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60 Open
Bayesian Optimization (BO) is a class of black-box, surrogate-based heuristics that can efficiently optimize problems that are expensive to evaluate and therefore allow only small evaluation budgets. Regardless of the size of the budget, h…
View article: A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification
A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification Open
In this paper, we introduce novel Twin Parametric Margin Support Vector Machine (TPMSVM) models designed to address multiclass classification tasks under feature uncertainty. To handle data perturbations, we construct bounded-by-norm uncer…
View article: Six-Month Synbio® Administration Affects Nutritional and Inflammatory Parameters of Older Adults Included in the PROBIOSENIOR Project
Six-Month Synbio® Administration Affects Nutritional and Inflammatory Parameters of Older Adults Included in the PROBIOSENIOR Project Open
The physiological changes associated with ageing contribute to the incidence of diseases, morbidity, and mortality. For modern society, it is essential to find solutions to improve elderly people’s health and quality of life. Among promisi…
View article: Optimal vs rotation heuristics in the role of cluster-head for routing in IoT constrained devices
Optimal vs rotation heuristics in the role of cluster-head for routing in IoT constrained devices Open
Wireless Sensor Networks (WSNs) are crucial for implementing the Internet of Things (IoT) vision. A WSN can include distributed devices that can be battery powered, have a small amount of memory, have limited CPU processing capabilities an…
View article: A Bayesian Network Approach to Explainable Reinforcement Learning with Distal Information
A Bayesian Network Approach to Explainable Reinforcement Learning with Distal Information Open
Nowadays, Artificial Intelligence systems have expanded their competence field from research to industry and daily life, so understanding how they make decisions is becoming fundamental to reducing the lack of trust between users and machi…
View article: Introduction to the Minitrack on Service Science
Introduction to the Minitrack on Service Science Open
View article: Joint selection of brain network nodes and edges for MCI identification
Joint selection of brain network nodes and edges for MCI identification Open
View article: Impact of a probiotic diet on well-being of healthy senior: THE PROBIOSENIOR PROJECT
Impact of a probiotic diet on well-being of healthy senior: THE PROBIOSENIOR PROJECT Open
Aims The aim of this work was to assess the effects of a probiotic diet on well-being of healthy seniors living in boarding and private homes in Marche Region, Italy. In particular, we focused on the modulation of high-sensitivity C-reacti…
View article: A Model Based on Survival-based Credit Risk Assessment System of SMEs
A Model Based on Survival-based Credit Risk Assessment System of SMEs Open
Assessment of the credit risk of small and medium-sized enterprises (SMEs) based on their strength and reputation is very important for the banks as the basis for credit decisions. We establish a model of credit risk assessment system for …
View article: Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification
Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification Open
Brain functional network (BFN) has become an increasingly important tool to understand the inherent organization of the brain and explore informative biomarkers of neurological disorders. Pearson’s correlation (PC) is the most widely accep…
View article: A survival tree for interval-censored failure time data
A survival tree for interval-censored failure time data Open
Interval-censored failure time data as a general type of survival data often arises in medicine and other applied fields. Survival tree is a flexible predictive method for survival data because no specific assumptions are required. General…
View article: Joint Selection of Brain Network Nodes and Edges for MCI Identification
Joint Selection of Brain Network Nodes and Edges for MCI Identification Open
View article: To the special issue dedicated to the 3rd international conference “Numerical Computations: Theory and Algorithms—NUMTA 2019” June 15–21, 2019, Isola Capo Rizzuto, Italy
To the special issue dedicated to the 3rd international conference “Numerical Computations: Theory and Algorithms—NUMTA 2019” June 15–21, 2019, Isola Capo Rizzuto, Italy Open
View article: Machine learning models predicting multidrug resistant urinary tract infections using “DsaaS”
Machine learning models predicting multidrug resistant urinary tract infections using “DsaaS” Open
View article: Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization Open
View article: The use of grossone in elastic net regularization and sparse support vector machines
The use of grossone in elastic net regularization and sparse support vector machines Open
View article: BinarySDG: binary sensor data generation with R
BinarySDG: binary sensor data generation with R Open
The scarcity of Smart Home data is still a pretty big problem, and in a world where the size of a dataset can often make the difference between a poor performance and a good performance for problems related to machine learning projects, th…
View article: How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions
How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions Open
View article: Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting Open
Preference representation and reasoning play a central role in supporting users with complex and multi-factorial decision processes. In fact, user tastes can be used to filter information and data in a personalized way, thus maximizing the…
View article: RDF2Vec: RDF graph embeddings and their applications
RDF2Vec: RDF graph embeddings and their applications Open
Linked Open Data has been recognized as a valuable source for background information in many data mining and information retrieval tasks. However, most of the existing tools require features in propositional form, i.e., a vector of nominal…
View article: Guest editors’ preface to the special issue devoted to the 2nd International Conference “Numerical Computations: Theory and Algorithms”, June 19–25, 2016, Pizzo Calabro, Italy
Guest editors’ preface to the special issue devoted to the 2nd International Conference “Numerical Computations: Theory and Algorithms”, June 19–25, 2016, Pizzo Calabro, Italy Open
View article: Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming
Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming Open