| Investigating the use of lexical information for software system clustering A Corazza, S Di Martino, V Maggio, G Scanniello 2011 15th European Conference on Software Maintenance and Reengineering, 35-44, 2011 | 122 | 2011 |
| Phylogenetic convolutional neural networks in metagenomics D Fioravanti, Y Giarratano, V Maggio, C Agostinelli, M Chierici, G Jurman, ... BMC bioinformatics 19, 1-13, 2018 | 88 | 2018 |
| LINSEN: An efficient approach to split identifiers and expand abbreviations A Corazza, S Di Martino, V Maggio 2012 28th IEEE International Conference on Software Maintenance (ICSM), 233-242, 2012 | 73 | 2012 |
| Evaluating reproducibility of AI algorithms in digital pathology with DAPPER A Bizzego, N Bussola, M Chierici, V Maggio, M Francescatto, L Cima, ... PLoS computational biology 15 (3), e1006269, 2019 | 51 | 2019 |
| Weighing lexical information for software clustering in the context of architecture recovery A Corazza, S Di Martino, V Maggio, G Scanniello Empirical Software Engineering 21, 72-103, 2016 | 43 | 2016 |
| Towards migrating genetic algorithms for test data generation to the cloud S Di Martino, F Ferrucci, V Maggio, F Sarro Software Testing in the Cloud: Perspectives on an Emerging Discipline, 113-135, 2013 | 40 | 2013 |
| Coherence of comments and method implementations: a dataset and an empirical investigation A Corazza, V Maggio, G Scanniello Software Quality Journal 26, 751-777, 2018 | 39 | 2018 |
| Integrating deep and radiomics features in cancer bioimaging A Bizzego, N Bussola, D Salvalai, M Chierici, V Maggio, G Jurman, ... 2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019 | 33 | 2019 |
| A tree kernel based approach for clone detection A Corazza, S Di Martino, V Maggio, G Scanniello 2010 IEEE International Conference on Software Maintenance, 1-5, 2010 | 31 | 2010 |
| A deep learning model to recognize food contaminating beetle species based on elytra fragments L Wu, Z Liu, T Bera, H Ding, DA Langley, A Jenkins-Barnes, C Furlanello, ... Computers and Electronics in Agriculture 166, 105002, 2019 | 29 | 2019 |
| AI slipping on tiles: Data leakage in digital pathology N Bussola, A Marcolini, V Maggio, G Jurman, C Furlanello Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 22* | 2021 |
| Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk neuroblastoma V Maggio, M Chierici, G Jurman, C Furlanello PloS one 13 (12), e0208924, 2018 | 17 | 2018 |
| TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting G Franch, V Maggio, L Coviello, M Pendesini, G Jurman, C Furlanello Scientific Data 7 (1), 234, 2020 | 16 | 2020 |
| On the coherence between comments and implementations in source code A Corazza, V Maggio, G Scanniello 2015 41st Euromicro Conference on Software Engineering and Advanced …, 2015 | 14 | 2015 |
| Migrating legacy spreadsheets-based systems to Web MVC architecture: An industrial case study D Amalfitano, AR Fasolino, V Maggio, P Tramontana, G Di Mare, ... 2014 Software Evolution Week-IEEE Conference on Software Maintenance …, 2014 | 11 | 2014 |
| Linsen: An approach to split identifiers and expand abbreviations with linear complexity A Corazza, S Di Martino, V Maggio IEEE International Conference on Software Maintenance, ICSM 12, 2012 | 9 | 2012 |
| Mapping population vulnerability and community support during COVID-19: a case study from Wales NH Di Cara, J Song, V Maggio, C Moreno-Stokoe, AR Tanner, B Woolf, ... International journal of population data science 5 (4), 2020 | 7 | 2020 |
| Using machine learning and information retrieval techniques to improve software maintainability A Corazza, S Di Martino, V Maggio, A Moschitti, A Passerini, G Scanniello, ... Trustworthy Eternal Systems via Evolving Software, Data and Knowledge …, 2013 | 5 | 2013 |
| Combining machine learning and information retrieval techniques for software clustering A Corazza, S Di Martino, V Maggio, G Scanniello Eternal Systems: First InternationalWorkshop, EternalS 2011, Budapest …, 2012 | 4 | 2012 |
| A multiobjective deep learning approach for predictive classification in Neuroblastoma V Maggio, M Chierici, G Jurman, C Furlanello arXiv preprint arXiv:1711.08198, 2017 | 3 | 2017 |
Cesare FurlanelloHK3 Lab (Rovereto, Italy) & Orobix Life (Bergamo, Italy)Verified email at hk3lab.ai
