Performance Evaluation of Task Control in Teleoperation. - Debora Botturi; Andrea Castellani; Davide Moschini; Paolo Fiorini (ICRA, 2004)

Hybrid HMM/SVM Model for the Analysis and Segmentation of Teleoperation Tasks. - Andrea Castellani; Debora Botturi; Manuele Bicego; Paolo Fiorini (ICRA, 2004)

Innovative Robotics Teaching using LEGO Sets. - Stefano Galvan; Debora Botturi; Andrea Castellani; Paolo Fiorini (ICRA, 2006)

Advanced Teleoperation Architecture. - Stefano Galvan; Andrea Castellani; Debora Botturi; Paolo Fiorini (IROS, 2006)

A Multiband Structure based on Hammerstein Model for Nonlinear Audio System Identification. - Alessandro Terenzi; Valeria Bruschi; Samuele Cornell; Andrea Castellani; Stefania Cecchi (ISPA, 2019)

Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise. - Andrea Castellani; Sebastian Schmitt; Barbara Hammer (ECML/PKDD (1), 2021)

Task-Sensitive Concept Drift Detector with Constraint Embedding. - Andrea Castellani; Sebastian Schmitt; Barbara Hammer (SSCI, 2021)

Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning. - Andrea Castellani; Sebastian Schmitt; Stefano Squartini (IEEE Trans. Ind. Informatics, 2021)

Stream-Based Active Learning with Verification Latency in Non-stationary Environments. - Andrea Castellani; Sebastian Schmitt; Barbara Hammer (ICANN (4), 2022)

Confidence Interval Estimation of Predictive Performance in the Context of AutoML. - Konstantinos Paraschakis; Andrea Castellani; Giorgos Borboudakis; Ioannis Tsamardinos (AutoML, 2024)

Dealing with Inaccurate and Incomplete Labels in Industrial Streaming Data. - Andrea Castellani (2024)

A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning. - Jens Engel; Andrea Castellani; Patricia Wollstadt; Felix Lanfermann; Thomas Schmitt; Sebastian Schmitt; Lydia Fischer; Steffen Limmer; David Luttropp; Florian Jomrich; René Unger; Tobias Rodemann (CoRR, 2025)

Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation. - Christian Internò; Andrea Castellani; Sebastian Schmitt; Fabio Stella; Barbara Hammer (CoRR, 2025)

Predicting and Explaining Traffic Crash Severity Through Crash Feature Selection. - Andrea Castellani; Zacharias Papadovasilakis; Giorgos Papoutsoglou; Mary Cole; Brian Bautsch; Tobias Rodemann; Ioannis Tsamardinos; Angela Harden (CoRR, 2025)

A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow. - George Paterakis; Andrea Castellani; George Papoutsoglou; Tobias Rodemann; Ioannis Tsamardinos (CoRR, 2025)