Andrea Castellani

According to our database, Andrea Castellani authored at least 16 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow.

George Paterakis, Andrea Castellani, George Papoutsoglou, Tobias Rodemann, Ioannis Tsamardinos

CoRR, August, 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, August, 2025

Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation.

Christian Internò, Andrea Castellani, Sebastian Schmitt, Fabio Stella, Barbara Hammer

CoRR, June, 2025

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, March, 2025

Evaluating and Mitigating Fairness Risks in Machine Learning under Structured Missing Data.

Tim Kochs, Andrea Castellani, Felix Lanfermann, Barbara Hammer

Proceedings of the 3rd Workshop on Fairness and Bias in AI co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

2024

Dealing with Inaccurate and Incomplete Labels in Industrial Streaming Data.

Andrea Castellani

PhD thesis, 2024

Confidence Interval Estimation of Predictive Performance in the Context of AutoML.

Konstantinos Paraschakis, Andrea Castellani, Giorgos Borboudakis, Ioannis Tsamardinos

Proceedings of the International Conference on Automated Machine Learning, 2024

2022

Stream-Based Active Learning with Verification Latency in Non-stationary Environments.

Andrea Castellani, Sebastian Schmitt, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

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

Task-Sensitive Concept Drift Detector with Constraint Embedding.

Andrea Castellani, Sebastian Schmitt, Barbara Hammer

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2019

A Multiband Structure based on Hammerstein Model for Nonlinear Audio System Identification.

Alessandro Terenzi, Valeria Bruschi, Samuele Cornell, Andrea Castellani, Stefania Cecchi

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

2006

Advanced Teleoperation Architecture.

Stefano Galvan, Andrea Castellani, Debora Botturi, Paolo Fiorini

Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Innovative Robotics Teaching using LEGO Sets.

Stefano Galvan, Debora Botturi, Andrea Castellani, Paolo Fiorini

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2004

Hybrid HMM/SVM Model for the Analysis and Segmentation of Teleoperation Tasks.

Andrea Castellani, Debora Botturi, Manuele Bicego, Paolo Fiorini

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Performance Evaluation of Task Control in Teleoperation.

Debora Botturi, Andrea Castellani, Davide Moschini, Paolo Fiorini

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004