Matteo Avolio

About Matteo Avolio

Matteo Avolio, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Università della Calabria, specializes in the field of Optimization and Machine Learning, Nonsmooth Optimization, Scheduling.

His recent articles reflect a diverse array of research interests and contributions to the field:

The semiproximal SVM approach for multiple instance learning: a kernel-based computational study

Balancing the average weighted completion times of two classes of jobs: a new scheduling problem

Balancing the Average Weighted Completion Times in Large-Scale Two-Agent Scheduling Problems: An Evolutionary-Type Computational Study

A nonlinear semiproximal SVM approach for Multiple Instance Learning

On Detection of Diabetic Retinopathy via Multiple Instance Learning

Multiple Instance Learning for Diabetic Retinopathy Detection

Maximum-margin polyhedral separation for binary Multiple Instance Learning

Partitional clustering via successive transportation problems

Matteo Avolio Information

University

Position

PhD student in Mathematics and Computer Science

Citations(all)

74

Citations(since 2020)

74

Cited By

3

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Matteo Avolio Skills & Research Interests

Optimization and Machine Learning

Nonsmooth Optimization

Scheduling

Top articles of Matteo Avolio

The semiproximal SVM approach for multiple instance learning: a kernel-based computational study

Optimization Letters

2023/6/14

Matteo Avolio
Matteo Avolio

H-Index: 1

Antonio Fuduli
Antonio Fuduli

H-Index: 14

Balancing the average weighted completion times of two classes of jobs: a new scheduling problem

2024/2/1

Matteo Avolio
Matteo Avolio

H-Index: 1

Balancing the Average Weighted Completion Times in Large-Scale Two-Agent Scheduling Problems: An Evolutionary-Type Computational Study

Mathematics

2023/9/22

Matteo Avolio
Matteo Avolio

H-Index: 1

A nonlinear semiproximal SVM approach for Multiple Instance Learning

Numerical Computations: Theory and Algorithms NUMTA 2023

2023/6/14

Matteo Avolio
Matteo Avolio

H-Index: 1

Antonio Fuduli
Antonio Fuduli

H-Index: 14

On Detection of Diabetic Retinopathy via Multiple Instance Learning

2023/5/5

Multiple Instance Learning for Diabetic Retinopathy Detection

CEUR WORKSHOP PROCEEDINGS

2023

Maximum-margin polyhedral separation for binary Multiple Instance Learning

EURO Journal on Computational Optimization

2023/1/1

Matteo Avolio
Matteo Avolio

H-Index: 1

Antonio Fuduli
Antonio Fuduli

H-Index: 14

Partitional clustering via successive transportation problems

Operations Research Letters

2023/1/1

Matteo Avolio
Matteo Avolio

H-Index: 1

Antonio Fuduli
Antonio Fuduli

H-Index: 14

A maximum-margin multisphere approach for binary multiple instance learning

European Journal of Operational Research

2022/6/1

Matteo Avolio
Matteo Avolio

H-Index: 1

Antonio Fuduli
Antonio Fuduli

H-Index: 14

Multiple Instance Learning for viral pneumonia chest X-ray Classification.

2022

A Lagrangian heuristics for balancing the average weighted completion times of two classes of jobs in a single-machine scheduling problem

EURO Journal on Computational Optimization

2022/1/1

Matteo Avolio
Matteo Avolio

H-Index: 1

Antonio Fuduli
Antonio Fuduli

H-Index: 14

Viral pneumonia images classification by Multiple Instance Learning: preliminary results

2021/7/14

A semiproximal support vector machine approach for binary multiple instance learning

IEEE transactions on neural networks and learning systems

2020

Matteo Avolio
Matteo Avolio

H-Index: 1

Antonio Fuduli
Antonio Fuduli

H-Index: 14

A subset-sum type formulation of a two-agent single-machine scheduling problem

Information Processing Letters

2020

Matteo Avolio
Matteo Avolio

H-Index: 1

Antonio Fuduli
Antonio Fuduli

H-Index: 14

See List of Professors in Matteo Avolio University(Università della Calabria)