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Employment (6)

Dublin City University: Dublin, IE

2024-09-01 to present | Assistant Professor in Mathematics (School of Mathematical Sciences)
Employment
Source: Self-asserted source
Marco Viola

University College Dublin: Dublin, Dublin, IE

2023-02-01 to 2024-08-31 | Assistant Professor (School of Mathematics and Statistics)
Employment
Source: Self-asserted source
Marco Viola

University of Campania "Luigi Vanvitelli": Caserta, IT

2022-05-01 to 2023-01-31 | Assistant Professor (RTDa) (Mathematics and Physics)
Employment
Source: Self-asserted source
Marco Viola

Università degli Studi della Campania "Luigi Vanvitelli": Caserta, IT

2019-09-01 to 2022-04-30 | Postdoctoral Research Fellow (Assegnista di RIcerca) (Dipartimento di Matematica e Fisica)
Employment
Source: Self-asserted source
Marco Viola

Università degli Studi di Roma La Sapienza: Roma, Lazio, IT

2015-11-01 to 2019-02-26 | PhD Student (Dipartimento di Ingegneria Informatica, Automatica e Gestionale)
Employment
Source: Self-asserted source
Marco Viola

Johns Hopkins University Whiting School of Engineering: Baltimore, MD, US

2018-02-01 to 2018-06-30 | Visiting Graduate Scholar (Department of Applied Mathematics and Statistics)
Employment
Source: Self-asserted source
Marco Viola

Education and qualifications (1)

Università degli Studi di Napoli Federico II: Napoli, Campania, IT

2012 to 2015-02 | Laurea Magistrale in Matematica (MSc in Mathematics) (Dipartimento di Matematica e Applicazioni "R. Caccioppoli")
Education
Source: Self-asserted source
Marco Viola

Works (20)

Barzilai–Borwein-like rules in proximal gradient schemes for ℓ<sub>1</sub>-regularized problems

Optimization Methods and Software
2024 | Journal article
DOI: 10.1080/10556788.2023.2285489
EID:

2-s2.0-85182985020

Part of ISSN: 10294937 10556788
Contributors: Crisci, S.; Rebegoldi, S.; Toraldo, G.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier

Cartoon-texture evolution for two-region image segmentation

Computational Optimization and Applications
2023 | Journal article
DOI: 10.1007/s10589-022-00387-7
EID:

2-s2.0-85134032039

Part of ISSN: 15732894 09266003
Contributors: Antonelli, L.; De Simone, V.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 3)‎

On the Adaptive Penalty Parameter Selection in ADMM

Algorithms
2023 | Journal article
DOI: 10.3390/a16060264
EID:

2-s2.0-85163773007

Part of ISSN: 19994893
Contributors: Crisci, S.; De Simone, V.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 2)‎

Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023 | Conference paper
DOI: 10.1007/978-3-031-31975-4_39
EID:

2-s2.0-85161136978

Part of ISBN: 9783031319747
Part of ISSN: 16113349 03029743
Contributors: Antonelli, L.; De Simone, V.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier

On the stationarity for nonlinear optimization problems with polyhedral constraints

Mathematical Programming
2023-05-22 | Journal article | Author
DOI: 10.1007/s10107-023-01979-9
Part of ISSN: 0025-5610
Part of ISSN: 1436-4646
Contributors: Daniela di Serafino; William W. Hager; Gerardo Toraldo; Marco Viola
Source: Self-asserted source
Marco Viola
grade
Preferred source (of 2)‎

Directional TGV-based image restoration under poisson noise

arXiv
2021 | Other
DOI: 10.48550/arxiv.2105.00106
EID:

2-s2.0-85169197527

Part of ISSN: 23318422
Contributors: Di Serafino, D.; Landi, G.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 5)‎

Sparse approximations with interior point methods

arXiv
2021 | Other
DOI: 10.48550/arxiv.2102.13608
EID:

2-s2.0-85170609523

Part of ISSN: 23318422
Contributors: De Simone, V.; Di Serafino, D.; Gondzio, J.; Pougkakiotis, S.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 4)‎

TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter

arXiv
2021 | Other
DOI: 10.48550/arxiv.2104.14452
EID:

2-s2.0-85171048102

Part of ISSN: 23318422
Contributors: di Serafino, D.; Landi, G.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 4)‎

A Gradient-Based Globalization Strategy for the Newton Method

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | Conference paper
DOI: 10.1007/978-3-030-39081-5_16
EID:

2-s2.0-85080877758

Part of ISBN: 9783030390808
Part of ISSN: 16113349 03029743
Contributors: di Serafino, D.; Toraldo, G.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier

A subspace-accelerated split Bregman method for sparse data recovery with joint $\ell_1$-type regularizers

ETNA - Electronic Transactions on Numerical Analysis
2020 | Journal article
DOI: 10.1553/etna_vol53s406
Part of ISSN: 1068-9613
Part of ISSN: 1068-9613
Source: Self-asserted source
Marco Viola
grade
Preferred source (of 2)‎

LSOS: LINE-SEARCH SECOND-ORDER STOCHASTIC OPTIMIZATION METHODS FOR NONCONVEX FINITE SUMS

arXiv
2020 | Other
DOI: 10.48550/arXiv.2007.15966
EID:

2-s2.0-85133878166

Part of ISSN: 23318422
Contributors: Di Serafino, D.; Krejić, N.; Jerinkić, N.K.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 3)‎

Using gradient directions to get global convergence of Newton-type methods

arXiv
2020 | Other
DOI: 10.48550/arxiv.2004.00968
EID:

2-s2.0-85171108120

Part of ISSN: 23318422
Contributors: di Serafino, D.; Toraldo, G.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 4)‎

A SUBSPACE-ACCELERATED SPLIT BREGMAN METHOD FOR SPARSE DATA RECOVERY WITH JOINT ℓ<sub>1</sub>-TYPE REGULARIZERS <sup>∗</sup>

arXiv
2019 | Other
DOI: 10.48550/arxiv.1912.06805
EID:

2-s2.0-85169724952

Part of ISSN: 23318422
Contributors: Simone, V.D.E.; Serafino, D.D.I.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 3)‎

Semi-supervised generalized eigenvalues classification

Annals of Operations Research
2019 | Journal article
DOI: 10.1007/s10479-017-2674-1
EID:

2-s2.0-85030855135
Contributors: Viola, M.; Sangiovanni, M.; Toraldo, G.; Guarracino, M.R.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 2)‎

ACQUIRE: An inexact iteratively reweighted norm approach for TV-based Poisson image restoration

arXiv
2018 | Other
DOI: 10.48550/arxiv.1807.10832
EID:

2-s2.0-85170733179

Part of ISSN: 23318422
Contributors: di Serafino, D.; Landi, G.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 4)‎

Proportionality-based gradient methods with applications in contact mechanics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | Conference paper
DOI: 10.1007/978-3-319-97136-0_4
EID:

2-s2.0-85050481385

Part of ISBN: 9783319971353
Part of ISSN: 16113349 03029743
Contributors: Dostál, Z.; Toraldo, G.; Viola, M.; Vlach, O.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier

A generalized eigenvalues classifier with embedded feature selection

Optimization Letters
2017 | Journal article
DOI: 10.1007/s11590-015-0955-7
EID:

2-s2.0-84944691607
Contributors: Viola, M.; Sangiovanni, M.; Toraldo, G.; Guarracino, M.R.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 2)‎

A two-phase gradient method for quadratic programming problems with a single linear constraint and bounds on the variables

arXiv
2017 | Other
DOI: 10.48550/arxiv.1705.01797
EID:

2-s2.0-85169274246

Part of ISSN: 23318422
Contributors: Di Serafino, D.; Toraldo, G.; Viola, M.; Barlow, J.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
grade
Preferred source (of 4)‎

Development of an innovative method to predict and to characterize the performances of Ti-6Al-4V LBW joints

AIP Conference Proceedings
2016 | Conference paper
DOI: 10.1063/1.4963630
EID:

2-s2.0-84994113206
Contributors: Liberini, M.; Esposito, S.; Reshad, K.; Previtali, B.; Viola, M.; Squillace, A.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier

On the regularization of generalized eigenvalues classifiers

AIP Conference Proceedings
2016 | Conference paper
DOI: 10.1063/1.4965317
EID:

2-s2.0-84995473168
Contributors: Guarracino, M.R.; Sangiovanni, M.; Severino, G.; Toraldo, G.; Viola, M.
Source: Self-asserted source
Marco Viola via Scopus - Elsevier
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