Andrea Castellani
acastellani@techfak.uni-bielefeld.de
https://orcid.org/0000-0003-0476-5978PEVZ-ID
5 Publikationen
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2024 | Bielefelder E-Dissertation | PUB-ID: 2985975
Dealing with Inaccurate and Incomplete Labels in Industrial Streaming DataPUB | PDF | DOI
Castellani A (2024)
Bielefeld: Universität Bielefeld. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969235Stream-Based Active Learning with Verification Latency in Non-stationary EnvironmentsPUB | DOI | Download (ext.)
Castellani A, Schmitt S, Hammer B (2022)
In: Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV. Pimenidis E, Angelov P, Jayne C, Papaleonidas A, Aydin M (Eds); Lecture Notes in Computer Science, 13532. Cham: Springer Nature Switzerland: 260-272. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982134Task-Sensitive Concept Drift Detector with Constraint EmbeddingPUB | DOI
Castellani A, Schmitt S, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 01-08. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969237Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label NoisePUB | DOI | Download (ext.)
Castellani A, Schmitt S, Hammer B (2021)
In: Machine Learning and Knowledge Discovery in Databases. Research Track. European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I. Oliver N, Pérez-Cruz F, Kramer S, Read J, Lozano JA (Eds); Lecture Notes in Computer Science, 12975. Cham: Springer International Publishing: 469-484. -
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969236
Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised LearningPUB | PDF | DOI | Download (ext.) | WoS
Castellani A, Schmitt S, Squartini S (2021)
IEEE Transactions on Industrial Informatics 17(7): 4733-4742.