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Sebastian Schmitt

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Andrea Castellani

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Publications

2022
[c21]
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  - conf/icann/CastellaniSH22
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  - https://dblp.org/rec/conf/icann/CastellaniSH22
Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Stream-Based Active Learning with Verification Latency in Non-stationary Environments. ICANN (4) 2022: 260-272
[i20]
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  - journals/corr/abs-2204-06822
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Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Stream-based Active Learning with Verification Latency in Non-stationary Environments. CoRR abs/2204.06822 (2022)
2021
[j4]
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  - journals/tii/CastellaniSS21
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Andrea Castellani, Sebastian Schmitt, Stefano Squartini:
Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning. IEEE Trans. Ind. Informatics 17(7): 4733-4742 (2021)
[c19]
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  - conf/pkdd/CastellaniSH21
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Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise. ECML/PKDD (1) 2021: 469-484
[c18]
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Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Task-Sensitive Concept Drift Detector with Constraint Embedding. SSCI 2021: 1-8
[i13]
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  dblp key:
  - journals/corr/abs-2105-00349
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Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise. CoRR abs/2105.00349 (2021)
[i11]
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  dblp key:
  - journals/corr/abs-2108-06980
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Andrea Castellani, Sebastian Schmitt, Barbara Hammer:
Task-Sensitive Concept Drift Detector with Constraint Embedding. CoRR abs/2108.06980 (2021)
2020
[i6]
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  - journals/corr/abs-2011-06296
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Andrea Castellani, Sebastian Schmitt, Stefano Squartini:
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning. CoRR abs/2011.06296 (2020)

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