Antonio Fuduli

901 total citations
38 papers, 633 citations indexed

About

Antonio Fuduli is a scholar working on Computer Vision and Pattern Recognition, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Antonio Fuduli has authored 38 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 12 papers in Numerical Analysis and 12 papers in Computational Mechanics. Recurrent topics in Antonio Fuduli's work include Advanced Optimization Algorithms Research (12 papers), Sparse and Compressive Sensing Techniques (10 papers) and Image Retrieval and Classification Techniques (10 papers). Antonio Fuduli is often cited by papers focused on Advanced Optimization Algorithms Research (12 papers), Sparse and Compressive Sensing Techniques (10 papers) and Image Retrieval and Classification Techniques (10 papers). Antonio Fuduli collaborates with scholars based in Italy, Iraq and United Kingdom. Antonio Fuduli's co-authors include Annabella Astorino, Manlio Gaudioso, Giovanni Giallombardo, Eugenio Vocaturo, Pierangelo Veltri, Giovanna Miglionico, Ester Zumpano, Chefi Triki, E. A. Nurminskii and Gianpaolo Ghiani and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and European Journal of Operational Research.

In The Last Decade

Antonio Fuduli

36 papers receiving 608 citations

Peers

Antonio Fuduli

CVPR

CTM

Annabella Astorino Italy

Hoai Minh Le France

Xiaodong Fan China

Pham Dinh Tao France

Tao Pham Dinh France

Zirui Zhou Canada

Dinesh Patil United States

Didier El Baz France

Tao Pham Dinh France

Liyun Zuo China

Annabella Astorino Italy

Antonio Fuduli

263 ×1.1

237 ×1.1

CVPR

134 ×0.7

117 ×0.6

CTM

109 ×0.7

Citations per year, relative to Antonio Fuduli Antonio Fuduli (= 1×) peers Annabella Astorino

Countries citing papers authored by Antonio Fuduli

Since Specialization

Citations

This map shows the geographic impact of Antonio Fuduli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Fuduli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Fuduli more than expected).

Fields of papers citing papers by Antonio Fuduli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Fuduli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Fuduli. The network helps show where Antonio Fuduli may publish in the future.

Co-authorship network of co-authors of Antonio Fuduli

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Fuduli. A scholar is included among the top collaborators of Antonio Fuduli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonio Fuduli. Antonio Fuduli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Francesco, Massimo Di, et al.. (2025). Multi-day routes in a multi-depot vehicle routing problem with intermediate replenishment facilities and time windows. Computers & Operations Research. 182. 107084–107084. 1 indexed citations

Fuduli, Antonio, et al.. (2024). A comparative study of linear type multiple instance learning techniques for detecting COVID-19 by chest X-ray images. Progress in Artificial Intelligence.

Astorino, Annabella, et al.. (2023). Maximum-margin polyhedral separation for binary Multiple Instance Learning. SHILAP Revista de lepidopterología. 11. 100070–100070. 1 indexed citations

Fuduli, Antonio, et al.. (2023). The semiproximal SVM approach for multiple instance learning: a kernel-based computational study. Optimization Letters. 18(2). 635–649. 3 indexed citations

Astorino, Annabella, et al.. (2022). Partitional clustering via successive transportation problems. Operations Research Letters. 51(1). 40–46.

Astorino, Annabella, et al.. (2021). A maximum-margin multisphere approach for binary Multiple Instance Learning. European Journal of Operational Research. 299(2). 642–652. 5 indexed citations

Astorino, Annabella & Antonio Fuduli. (2020). Spherical separation with infinitely far center. Soft Computing. 24(23). 17751–17759. 5 indexed citations

Fuduli, Antonio, et al.. (2020). A Semiproximal Support Vector Machine Approach for Binary Multiple Instance Learning. IEEE Transactions on Neural Networks and Learning Systems. 32(8). 3566–3577. 26 indexed citations

Astorino, Annabella, Antonio Fuduli, Giovanni Giallombardo, & Giovanna Miglionico. (2019). SVM-Based Multiple Instance Classification via DC Optimization. Algorithms. 12(12). 249–249. 8 indexed citations

10.

Astorino, Annabella, Antonio Fuduli, & Manlio Gaudioso. (2019). A Lagrangian Relaxation Approach for Binary Multiple Instance Classification. IEEE Transactions on Neural Networks and Learning Systems. 30(9). 2662–2671. 27 indexed citations

11.

Astorino, Annabella, Antonio Fuduli, Pierangelo Veltri, & Eugenio Vocaturo. (2019). Melanoma Detection by Means of Multiple Instance Learning. Interdisciplinary Sciences Computational Life Sciences. 12(1). 24–31. 44 indexed citations

12.

Fuduli, Antonio, Pierangelo Veltri, Eugenio Vocaturo, & Ester Zumpano. (2019). Melanoma detection using color and texture features in computer vision systems. Advances in Science Technology and Engineering Systems Journal. 4(5). 16–22. 27 indexed citations

13.

Fuduli, Antonio, et al.. (2019). A subset-sum type formulation of a two-agent single-machine scheduling problem. Information Processing Letters. 155. 105886–105886. 5 indexed citations

14.

Astorino, Annabella, Antonio Fuduli, & Manlio Gaudioso. (2016). Nonlinear programming for classification problems in machine learning. AIP conference proceedings. 1776. 40004–40004. 6 indexed citations

15.

Astorino, Annabella & Antonio Fuduli. (2015). Semisupervised spherical separation. Applied Mathematical Modelling. 39(20). 6351–6358. 11 indexed citations

16.

Astorino, Annabella & Antonio Fuduli. (2015). The Proximal Trajectory Algorithm in SVM Cross Validation. IEEE Transactions on Neural Networks and Learning Systems. 27(5). 966–977. 23 indexed citations

17.

Astorino, Annabella & Antonio Fuduli. (2013). Support Vector Machine Polyhedral Separability in Semisupervised Learning. Journal of Optimization Theory and Applications. 164(3). 1039–1050. 23 indexed citations

18.

Astorino, Annabella, et al.. (2008). Non-smoothness in classification problems. Optimization methods & software. 23(5). 675–688. 17 indexed citations

19.

Astorino, Annabella & Antonio Fuduli. (2007). Nonsmooth Optimization Techniques for Semisupervised Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(12). 2135–2142. 44 indexed citations

20.

Fuduli, Antonio, et al.. (2006). A bundle modification strategy for convex minimization. European Journal of Operational Research. 180(1). 38–47. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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