A Tree Kernel based approach for clone detection. - Anna Corazza; Sergio Di Martino; Valerio Maggio; Giuseppe Scanniello (ICSM, 2010)

Investigating the Use of Lexical Information for Software System Clustering. - Anna Corazza; Sergio Di Martino; Valerio Maggio; Giuseppe Scanniello (CSMR, 2011)

Combining Machine Learning and Information Retrieval Techniques for Software Clustering. - Anna Corazza; Sergio Di Martino; Valerio Maggio; Giuseppe Scanniello (EternalS@FET, 2011)

Using Machine Learning and Information Retrieval Techniques to Improve Software Maintainability. - Anna Corazza; Sergio Di Martino; Valerio Maggio; Alessandro Moschitti; Andrea Passerini; Giuseppe Scanniello; Fabrizio Silvestri (EternalS@ECAI, 2012)

LINSEN: An efficient approach to split identifiers and expand abbreviations. - Anna Corazza; Sergio Di Martino; Valerio Maggio (ICSM, 2012)

Improving Software Maintenance using Unsupervised Machine Learning techniques. - Valerio Maggio (2013)

Migrating legacy spreadsheets-based systems to Web MVC architecture: An industrial case study. - Domenico Amalfitano; Anna Rita Fasolino; Valerio Maggio; Porfirio Tramontana; Giancarlo Di Mare; Ferdinando Ferrara; Stefano Scala (CSMR-WCRE, 2014)

SemFLATNESSES: Social and Proactive Enterprise Knowledge Management with Semantic Web Technologies. - Gianpio Benincasa; Ciro D'Apice; Matteo Gaeta; Valerio Maggio; Francesco Orciuoli (INCoS, 2014)

Reverse Engineering of Data Models from Legacy Spreadsheets-Based Systems: An Industrial Case Study. - Domenico Amalfitano; Anna Rita Fasolino; Valerio Maggio; Porfirio Tramontana; Vincenzo De Simone (SEBD, 2014)

On the Coherence between Comments and Implementations in Source Code. - Anna Corazza; Valerio Maggio; Giuseppe Scanniello (EUROMICRO-SEAA, 2015)

A New Dataset for Source Code Comment Coherence. - Anna Corazza; Valerio Maggio; Giuseppe Scanniello (CLiC-it/EVALITA, 2016)

Weighing lexical information for software clustering in the context of architecture recovery. - Anna Corazza; Sergio Di Martino; Valerio Maggio; Giuseppe Scanniello (Empir. Softw. Eng., 2016)

A multiobjective deep learning approach for predictive classification in Neuroblastoma. - Valerio Maggio; Marco Chierici; Giuseppe Jurman; Cesare Furlanello (CoRR, 2017)

Phylogenetic convolutional neural networks in metagenomics. - Diego Fioravanti; Ylenia Giarratano; Valerio Maggio; Claudio Agostinelli; Marco Chierici; Giuseppe Jurman; Cesare Furlanello (BMC Bioinform., 2018)

Coherence of comments and method implementations: a dataset and an empirical investigation. - Anna Corazza; Valerio Maggio; Giuseppe Scanniello (Softw. Qual. J., 2018)

Integrating deep and radiomics features in cancer bioimaging. - Andrea Bizzego; Nicole Bussola; D. Salvalai; Marco Chierici; Valerio Maggio; Giuseppe Jurman; Cesare Furlanello (CIBCB, 2019)

A deep learning model to recognize food contaminating beetle species based on elytra fragments. - Leihong Wu; Zhichao Liu; Tanmay Bera; Hongjian Ding; Darryl Langley; Amy Barnes; Cesare Furlanello; Valerio Maggio; Weida Tong; Joshua Xu (Comput. Electron. Agric., 2019)

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. - Andrea Bizzego; Nicole Bussola; Marco Chierici; Valerio Maggio; Margherita Francescatto; Luca Cima; Marco Cristoforetti; Giuseppe Jurman; Cesare Furlanello (PLoS Comput. Biol., 2019)

AI Slipping on Tiles: Data Leakage in Digital Pathology. - Nicole Bussola; Alessia Marcolini; Valerio Maggio; Giuseppe Jurman; Cesare Furlanello (ICPR Workshops (1), 2020)

Data Ethics Club: Creating a collaborative space to discuss data ethics. - Nina H. Di Cara; Natalie Zelenka; Huw Day; Euan D. S. Bennet; Vanessa Hanschke; Valerio Maggio; Ola Aleksandra Michalec; Charles Radclyffe; Roman Shkunov; Emma Tonkin; Zoë Turner; Kamilla Wells (Patterns, 2022)