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Other IDs

Scopus Author ID: 36675258000
Scopus Author ID: 36675258000

Keywords

Deep Learning, Machine Learning, Software Engineering

Countries

United Kingdom

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Employment (6)

University of Bristol: Bristol, GB

Employment
Source: check_circle
University of Bristol - PURE

Anaconda (United States): Bristol, Somerset, GB

2022-08-01 to present | Developer Advocate (Education)
Employment
Source: Self-asserted source
Valerio Maggio

University of Bristol: Bristol, Bristol, GB

2020-01-01 to 2022-07-31 | Senior Research Associate (MRC Integrative Epidemiology Unit)
Employment
Source: Self-asserted source
Valerio Maggio

Fondazione Bruno Kessler: Trento, Trentino-Alto Adige, IT

2016-05-01 to 2019-12-31 | Research Software Engineer & Researcher (MPBA)
Employment
Source: Self-asserted source
Valerio Maggio

Università degli Studi di Salerno: Salerno, Italy, IT

2014-01-07 to 2016-03-31 | Post Doc (DIMIE)
Employment
Source: Self-asserted source
Valerio Maggio

University of Naples Federico II: Naples, Campania, IT

2013-06 to 2013-12 | Post Doc Researcher (DIETI)
Employment
Source: Self-asserted source
Valerio Maggio

Education and qualifications (1)

University of Naples Federico II: Naples, Campania, IT

2010-01-01 to 2013-06-13 | PhD Student (DIETI)
Qualification
Source: Self-asserted source
Valerio Maggio

Works (27)

Methodologies for Monitoring Mental Health on Twitter: Systematic Review

Journal of Medical Internet Research
2023-05-08 | Journal article | Author
DOI: 10.2196/42734
Part of ISSN: 1438-8871
Contributors: Nina Di Cara; Valerio Maggio; Oliver S P Davis; Claire Haworth
Source: Self-asserted source
Valerio Maggio

Data Ethics Club

Patterns
2022-07-08 | Journal article | Author
DOI: 10.1016/j.patter.2022.100537
SOURCE-WORK-ID:

a6152280-bba4-4c47-b4b4-26672d318111

EID:

2-s2.0-85133542306

EID:

2-s2.0-85133542306

PMID: 35845834
Contributors: Nina Di Cara; Natalie R Zelenka; Huw Day; Euan Bennet; Vanessa Aisyahsari Hanschke; Valerio Maggio; Ola (Aleksandra) Michalec; Charles J D Radclyffe; Roman Shkunov; Emma L. Tonkin et al.
Source: check_circle
University of Bristol - PURE

Understanding the potential and pitfalls of digital phenotypes to measure population mental health and wellbeing

The Lancet Public Health Science, 26/11/21
2021-11-01 | Conference abstract | Author
DOI: 10.1016/S0140-6736(21)02553-8
SOURCE-WORK-ID:

34d1c6e0-73ce-4aaa-953c-519d7053232f
Contributors: Valerio Maggio; Nina Di Cara; Alastair Tanner; Claire Haworth; Oliver S P Davis
Source: check_circle
University of Bristol - PURE

Mapping Population Vulnerability and Community Support during COVID-19

International Journal of Population Data Science
2021-04-19 | Journal article | Author
DOI: 10.23889/IJPDS.V5I4.1409
SOURCE-WORK-ID:

5be27813-833a-45fd-adc6-d71c87de2cdd

PMID: 34007892
PMID: 34007892
EID:

2-s2.0-85106215348
Contributors: Nina Di Cara; Jiao Song; Valerio Maggio; Chris Moreno-Stokoe; Alastair Tanner; Benjamin Woolf; Oliver S P Davis; Alisha Davies
Source: check_circle
University of Bristol - PURE

AI Slipping on Tiles: Data Leakage in Digital Pathology

Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings
2021-02-21 | Book chapter | Author
DOI: 10.1007/978-3-030-68763-2_13
SOURCE-WORK-ID:

a473cfca-bb76-4862-9f14-3cf09ca8a7a2

EID:

2-s2.0-85104368934

Part of ISBN: 9783030687625
Contributors: Nicole Bussola; Alessia Marcolini; Valerio Maggio; Giuseppe Jurman; Cesare Furlanello
Source: check_circle
University of Bristol - PURE

TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting

Scientific Data
2020-07-13 | Journal article | Author
DOI: 10.1038/s41597-020-0574-8
SOURCE-WORK-ID:

5c523ff8-43d7-477c-a7d6-d07e0050dcfc

PMID: 32661247
EID:

2-s2.0-85087981325
Contributors: Gabriele Franch; Valerio Maggio; Luca Coviello; Marta Pendesini; Giuseppe Jurman; Cesare Furlanello
Source: check_circle
University of Bristol - PURE

A deep learning model to recognize food contaminating beetle species based on elytra fragments

Computers and Electronics in Agriculture
2019-11 | Journal article | Author
DOI: 10.1016/j.compag.2019.105002
SOURCE-WORK-ID:

3200540e-a13a-44fe-b4af-cb92fd5e3dd0

EID:

2-s2.0-85072576543
Contributors: Leihong Wu; Zhichao Liu; Tanmay Bera; Hongjian Ding; Darryl A. Langley; Amy Jenkins-Barnes; Cesare Furlanello; Valerio Maggio; Weida Tong; Joshua Xu
Source: check_circle
University of Bristol - PURE

Not again! Data Leakage in Digital Pathology

arXiv
2019-09-14 | Journal article | Author
SOURCE-WORK-ID:

3c5c5851-8ff0-452b-8fd5-ee4057cb43c9

ARXIV: http://arxiv.org/abs/1909.06539v2
Contributors: Nicole Bussola; Alessia Marcolini; Valerio Maggio; Giuseppe Jurman; Cesare Furlanello
Source: check_circle
University of Bristol - PURE

Integrating deep and radiomics features in cancer bioimaging

2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019
2019-07 | Conference paper | Author
DOI: 10.1109/CIBCB.2019.8791473
SOURCE-WORK-ID:

6812f385-fe54-470f-ba2f-7853244754e1

EID:

2-s2.0-85071473126

Part of ISBN: 9781728114620
Contributors: A. Bizzego; N. Bussola; D. Salvalai; M. Chierici; Valerio Maggio; G. Jurman; C. Furlanello
Source: check_circle
University of Bristol - PURE

Evaluating reproducibility of ai algorithms in digital pathology with dapper

PLoS Computational Biology
2019-03 | Journal article | Author
DOI: 10.1371/journal.pcbi.1006269
SOURCE-WORK-ID:

46623c23-a928-42d4-a7b9-55cf6bf7b881

EID:

2-s2.0-85065000125

PMID: 30917113
Contributors: Andrea Bizzego; Nicole Bussola; Marco Chierici; Valerio Maggio; Margherita Francescatto; Luca Cima; Marco Cristoforetti; Giuseppe Jurman; Cesare Furlanello
Source: check_circle
University of Bristol - PURE

Coherence of comments and method implementations: a dataset and an empirical investigation

Software Quality Journal
2018 | Journal article
DOI: 10.1007/s11219-016-9347-1
EID:

2-s2.0-84994361428
Contributors: Corazza, A.; Maggio, V.; Scanniello, G.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma

PLoS ONE
2018 | Journal article
DOI: 10.1371/journal.pone.0208924
EID:

2-s2.0-85058138691
Contributors: Maggio, V.; Chierici, M.; Jurman, G.; Furlanello, C.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

Phylogenetic convolutional neural networks in metagenomics

BMC Bioinformatics
2018 | Journal article
DOI: 10.1186/s12859-018-2033-5
EID:

2-s2.0-85043448826
Contributors: Fioravanti, D.; Giarratano, Y.; Maggio, V.; Agostinelli, C.; Chierici, M.; Jurman, G.; Furlanello, C.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

A multiobjective deep learning approach for predictive classification in Neuroblastoma

arXiv
2017-11-22 | Journal article | Author
SOURCE-WORK-ID:

9ca08a7f-8f36-43e3-aa1e-3992b86108f0

ARXIV: http://arxiv.org/abs/1711.08198v3
Contributors: Valerio Maggio; Marco Chierici; Giuseppe Jurman; Cesare Furlanello
Source: check_circle
University of Bristol - PURE

Convolutional neural networks for structured omics

arXiv
2017-10-16 | Journal article | Author
SOURCE-WORK-ID:

846a7bcf-a3f7-4705-ae0a-75287812b332

ARXIV: http://arxiv.org/abs/1710.05918v1
Contributors: Giuseppe Jurman; Valerio Maggio; Diego Fioravanti; Ylenia Giarratano; Isotta Landi; Margherita Francescatto; Claudio Agostinelli; Marco Chierici; Manlio De Domenico; Cesare Furlanello
Source: check_circle
University of Bristol - PURE

A new dataset for source code comment coherence

CEUR Workshop Proceedings
2016 | Conference paper
EID:

2-s2.0-85009243693
Contributors: Corazza, A.; Maggio, V.; Scanniello, G.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

Weighing lexical information for software clustering in the context of architecture recovery

Empirical Software Engineering
2016 | Journal article
DOI: 10.1007/s10664-014-9347-3
EID:

2-s2.0-84955206453
Contributors: Corazza, A.; Di Martino, S.; Maggio, V.; Scanniello, G.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

On the coherence between comments and implementations in source code

Proceedings - 41st Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2015
2015 | Conference paper
DOI: 10.1109/SEAA.2015.20
EID:

2-s2.0-84958292443
Contributors: Corazza, A.; Maggio, V.; Scanniello, G.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

Migrating legacy spreadsheets-based systems to Web MVC architecture: An industrial case study

2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering, CSMR-WCRE 2014 - Proceedings
2014 | Conference paper
DOI: 10.1109/CSMR-WCRE.2014.6747201
EID:

2-s2.0-84898453599
Contributors: Amalfitano, D.; Fasolino, A.R.; Maggio, V.; Tramontana, P.; Di Mare, G.; Ferrara, F.; Scala, S.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

Reverse engineering of data models from legacy spreadsheets-based systems: An industrial case study

22nd Italian Symposium on Advanced Database Systems, SEBD 2014
2014 | Conference paper
EID:

2-s2.0-84910075147
Contributors: Amalfitano, D.; Fasolino, A.R.; Maggio, V.; Tramontana, P.; De Simone, V.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

SemFLATNESSES: Social and proactive enterprise knowledge management with semantic web technologies

Proceedings - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014
2014 | Conference paper
DOI: 10.1109/INCoS.2014.97
EID:

2-s2.0-84946690647
Contributors: Benincasa, G.; Dapice, C.; Gaeta, M.; Maggio, V.; Orciuoli, F.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

Using Machine Learning and Information Retrieval Techniques to Improve Software Maintainability

Communications in Computer and Information Science
2013 | Book
DOI: 10.1007/978-3-642-45260-4_9
EID:

2-s2.0-84904616456
Contributors: Corazza, A.; Di Martino, S.; Maggio, V.; Moschitti, A.; Passerini, A.; Scanniello, G.; Silvestri, F.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

Combining machine learning and information retrieval techniques for software clustering

Communications in Computer and Information Science
2012 | Book
DOI: 10.1007/978-3-642-28033-7_5
EID:

2-s2.0-84865255523
Contributors: Corazza, A.; Di Martino, S.; Maggio, V.; Scanniello, G.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

LINSEN: An efficient approach to split identifiers and expand abbreviations

IEEE International Conference on Software Maintenance, ICSM
2012 | Conference paper
DOI: 10.1109/ICSM.2012.6405277
EID:

2-s2.0-84873153527
Contributors: Corazza, A.; Di Martino, S.; Maggio, V.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

Towards migrating genetic algorithms for test data generation to the cloud

Software Testing in the Cloud: Perspectives on an Emerging Discipline
2012 | Book chapter
Part of DOI: 10.4018/978-1-4666-2536-5.ch006
EID:

2-s2.0-84898358950
Contributors: Di Martino, S.; Ferrucci, F.; Maggio, V.; Sarro, F.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

Investigating the use of lexical information for software system clustering

Proceedings of the European Conference on Software Maintenance and Reengineering, CSMR
2011 | Conference paper
DOI: 10.1109/CSMR.2011.8
EID:

2-s2.0-79955150751
Contributors: Corazza, A.; Di Martino, S.; Maggio, V.; Scanniello, G.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier

A tree Kernel based approach for clone detection

IEEE International Conference on Software Maintenance, ICSM
2010 | Conference paper
DOI: 10.1109/ICSM.2010.5609715
EID:

2-s2.0-78650096364
Contributors: Corazza, A.; Di Martino, S.; Maggio, V.; Scanniello, G.
Source: Self-asserted source
Valerio Maggio via Scopus - Elsevier
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