Effective data pre-processing for AutoML. - Joseph Giovanelli; Besim Bilalli; Alberto Abelló (DOLAP, 2021)

Towards Human-centric AutoML via Logic and Argumentation. - Joseph Giovanelli; Giuseppe Pisano (EDBT/ICDT Workshops, 2022)

Multi-sensor profiling for precision soil-moisture monitoring. - Matteo Francia; Joseph Giovanelli; Matteo Golfarelli (Comput. Electron. Agric., 2022)

Data pre-processing pipeline generation for AutoETL. - Joseph Giovanelli; Besim Bilalli; Alberto Abelló (Inf. Syst., 2022)

Fine-grained Soil Moisture Monitoring with PLUTO. - Matteo Francia; Joseph Giovanelli; Matteo Golfarelli (SEBD, 2023)

HAMLET: A framework for Human-centered AutoML via Structured Argumentation. - Matteo Francia; Joseph Giovanelli; Giuseppe Pisano (Future Gener. Comput. Syst., 2023)

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. - Joseph Giovanelli; Alexander Tornede; Tanja Tornede; Marius Lindauer (AAAI, 2024)

AutoClues: Exploring Clustering Pipelines via AutoML and Diversification. - Matteo Francia; Joseph Giovanelli; Matteo Golfarelli (PAKDD (1), 2024)

AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. - Alexander Tornede; Difan Deng; Theresa Eimer; Joseph Giovanelli; Aditya Mohan; Tim Ruhkopf; Sarah Segel; Daphne Theodorakopoulos; Tanja Tornede; Henning Wachsmuth; Marius Lindauer (Trans. Mach. Learn. Res., 2024)

On the Democratization of AI: Bridging the Gap with AutoML. - Joseph Giovanelli (2024)

Reproducible experiments for generating pre-processing pipelines for AutoETL. - Joseph Giovanelli; Besim Bilalli; Alberto Abelló; Fernando Silva-Coira; Guillermo de Bernardo (Inf. Syst., 2024)

An auto-tuning process-based 3D model to forecast irrigation demand in kiwifruit. - Marco Bittelli; Matteo Francia; Joseph Giovanelli; Matteo Golfarelli; Fausto Tomei (Ecol. Informatics, 2025)