A semiproximal support vector machine approach for binary multiple instance learning M Avolio, A Fuduli IEEE transactions on neural networks and learning systems 32 (8), 3566-3577, 2020 | 38 | 2020 |
Viral pneumonia images classification by Multiple Instance Learning: preliminary results E Zumpano, A Fuduli, E Vocaturo, M Avolio Proceedings of the 25th International Database Engineering & Applications …, 2021 | 28 | 2021 |
On detection of diabetic retinopathy via multiple instance learning M Avolio, A Fuduli, E Vocaturo, E Zumpano Proceedings of the 27th International Database Engineered Applications …, 2023 | 8 | 2023 |
Multiple Instance Learning for viral pneumonia chest X-ray Classification. M Avolio, A Fuduli, E Vocaturo, E Zumpano SEBD, 359-366, 2022 | 7 | 2022 |
A maximum-margin multisphere approach for binary multiple instance learning A Astorino, M Avolio, A Fuduli European Journal of Operational Research 299 (2), 642-652, 2022 | 6 | 2022 |
A Lagrangian heuristics for balancing the average weighted completion times of two classes of jobs in a single-machine scheduling problem M Avolio, A Fuduli EURO Journal on Computational Optimization 10, 100032, 2022 | 5 | 2022 |
A subset-sum type formulation of a two-agent single-machine scheduling problem M Avolio, A Fuduli Information Processing Letters 155, 105886, 2020 | 5 | 2020 |
The semiproximal SVM approach for multiple instance learning: a kernel-based computational study M Avolio, A Fuduli Optimization Letters 18 (2), 635-649, 2024 | 4 | 2024 |
Maximum-margin polyhedral separation for binary multiple instance learning A Astorino, M Avolio, A Fuduli EURO Journal on Computational Optimization 11, 100070, 2023 | 4 | 2023 |
Balancing the average weighted completion times in large-scale two-agent scheduling problems: An evolutionary-type computational study M Avolio Mathematics 11 (19), 4034, 2023 | 1 | 2023 |
Partitional clustering via successive transportation problems A Astorino, M Avolio, A Canino, T Crupi, A Fuduli Operations Research Letters 51 (1), 40-46, 2023 | 1 | 2023 |
Balancing the average weighted completion times of two classes of jobs: a new scheduling problem M Avolio 4OR 22 (4), 539-540, 2024 | | 2024 |
A comparative study of linear type multiple instance learning techniques for detecting COVID-19 by chest X-ray images M Avolio, A Fuduli, E Vocaturo, E Zumpano Progress in Artificial Intelligence, 1-11, 2024 | | 2024 |
A nonlinear semiproximal SVM approach for Multiple Instance Learning M Avolio, A Fuduli Numerical Computations: Theory and Algorithms NUMTA 2023, 47, 2023 | | 2023 |
Multiple Instance Learning for Diabetic Retinopathy Detection. M Avolio, A Fuduli, E Vocaturo, E Zumpano SEBD, 22-31, 2023 | | 2023 |
A Spherical Separation Approach for Multiple Instance Learning A Fuduli, A Astorino, M Avolio Numerical Computations: Theory and Algorithms NUMTA 2019, 183, 2019 | | 2019 |
Multi-Day Routes in a Multi-Depot Vehicle Routing Problem with Intermediate Replenishment Facilities and Time Windows M Avolio, M Di Francesco, A Fuduli, E Gorgone, R WOLFLER CALVO Available at SSRN 4854107, 0 | | |
Classification of Viral Pneumonia Images via Multiple Instance Learning A Fuduli, M Avolio, E Vocaturo, E Zumpano Book of Abstracts, 180, 0 | | |
Nonlinear Approaches for Multiple Instance Learning A Astorino, M Avolio, A Fuduli Book of Abstracts, 181, 0 | | |
Clustering by Spheres: Preliminary Results A Astorino, M Avolio, A Canino, T Crupi, A Fuduli | | |