default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMartina Iammarino
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c23]Lerina Aversano, Martina Iammarino, Antonella Madau, Debora Montano, Chiara Verdone:
Adopting Delta Maintainability Model for Just in Time Bug Prediction. ICSOFT 2024: 419-426- 2023
- [j9]Pasquale Ardimento
, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
Evo-GUNet3++: Using evolutionary algorithms to train UNet-based architectures for efficient 3D lung cancer detection. Appl. Soft Comput. 144: 110465 (2023) - [j8]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
A data-aware explainable deep learning approach for next activity prediction. Eng. Appl. Artif. Intell. 126: 106758 (2023) - [j7]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Forecasting technical debt evolution in software systems: an empirical study. Frontiers Comput. Sci. 17(3): 173210 (2023) - [c22]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition. DeLTA 2023: 101-114 - [c21]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning. DeLTA 2023: 326-339 - [c20]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
An Empirical Study on the Relationship Between the Co-Occurrence of Design Smell and Refactoring Activities. ENASE 2023: 742-749 - [c19]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
Early Parkinson's Disease Detection from EEG Traces Using Machine Learning Techniques. EUSFLAT/AGOP 2023: 607-619 - [c18]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Understanding Compiler Effects on Clone Detection Process. ICSOFT 2023: 345-352 - [c17]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone:
Early Diagnosis of Parkinson's Disease Exploting Motor and Non-Motor Symptoms: Results from the PPMI Cohort. KES 2023: 2096-2105 - [c16]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Cusano, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone:
Raman Spectroscopy of Cells for Cancer Classification Through Machine Learning. MetroXRAINE 2023: 688-693 - [c15]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Forecasting the Developer's Impact in Managing the Technical Debt. PROFES (2) 2023: 35-47 - 2022
- [j6]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Using deep temporal convolutional networks to just-in-time forecast technical debt principal. J. Syst. Softw. 194: 111481 (2022) - [j5]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Just-in-time software defect prediction using deep temporal convolutional networks. Neural Comput. Appl. 34(5): 3981-4001 (2022) - [c14]Lerina Aversano, Mario Luca Bernardi, Vincenzo Calgano, Marta Cimitile, Concetta Esposito, Martina Iammarino, Marco Pisco, Sara Spaziani, Chiara Verdone:
Using Machine Learning for Classification of Cancer Cells from Raman Spectroscopy. DeLTA 2022: 15-24 - [c13]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
Using Machine Learning for early prediction of Heart Disease. EAIS 2022: 1-8 - [c12]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces. EAIS 2022: 1-8 - [c11]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment. HELMeTO 2022: 536-547 - [c10]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano:
Is There Any Correlation between Refactoring and Design Smell Occurrence? ICSOFT 2022: 129-136 - [c9]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. IJCNN 2022: 1-8 - [c8]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
An enhanced UNet variant for Effective Lung Cancer Detection. IJCNN 2022: 1-8 - [c7]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Technical Debt Forecasting from Source Code Using Temporal Convolutional Networks. PROFES 2022: 581-591 - 2021
- [j4]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics. Neurocomputing 463: 454-471 (2021) - [j3]Martina Iammarino, Fiorella Zampetti, Lerina Aversano, Massimiliano Di Penta:
An empirical study on the co-occurrence between refactoring actions and Self-Admitted Technical Debt removal. J. Syst. Softw. 178: 110976 (2021) - [c6]Pasquale Ardimento, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Transfer Learning for Just-in-Time Design Smells Prediction using Temporal Convolutional Networks. ICSOFT 2021: 310-317 - [c5]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino:
Technical Debt predictive model through Temporal Convolutional Network. IJCNN 2021: 1-8 - [c4]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Paolo Emidio Macchia, Immacolata Cristina Nettore, Chiara Verdone:
Thyroid Disease Treatment prediction with machine learning approaches. KES 2021: 1031-1040 - 2020
- [j2]Lerina Aversano, Martina Iammarino, Mimmo Carapella, Andrea Del Vecchio, Laura Nardi:
On the Relationship between Self-Admitted Technical Debt Removals and Technical Debt Measures. Algorithms 13(7): 168 (2020) - [j1]Lerina Aversano, Umberto Carpenito, Martina Iammarino:
An Empirical Study on the Evolution of Design Smells. Inf. 11(7): 348 (2020) - [c3]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Kateryna Romanyuk:
Investigating on the Relationships between Design Smells Removals and Refactorings. ICSOFT 2020: 212-219 - [c2]Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile:
A Topic Modeling Approach To Evaluate The Comments Consistency To Source Code. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c1]Martina Iammarino, Fiorella Zampetti, Lerina Aversano, Massimiliano Di Penta:
Self-Admitted Technical Debt Removal and Refactoring Actions: Co-Occurrence or More? ICSME 2019: 186-190
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-07 02:04 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
