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Hans-Arno Jacobsen

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 Daniel Jorde

> Home > Persons > Hans-Arno Jacobsen

Publications

2022
[i27]
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  - journals/corr/abs-2209-03759
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  - https://dblp.org/rec/journals/corr/abs-2209-03759
Matthias Kahl, Daniel Jorde, Hans-Arno Jacobsen:
Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning. CoRR abs/2209.03759 (2022)
2021
[j53]
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  - journals/tsusc/JordeJ21
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  - https://dblp.org/rec/journals/tsusc/JordeJ21
Daniel Jorde, Hans-Arno Jacobsen:
Event Detection for Energy Consumption Monitoring. IEEE Trans. Sustain. Comput. 6(4): 703-709 (2021)
2020
[c222]
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  dblp key:
  - conf/sensys/YueWJJ20
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  - https://dblp.org/rec/conf/sensys/YueWJJ20
Zhenrui Yue, Camilo Requena Witzig, Daniel Jorde, Hans-Arno Jacobsen:
BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring. NILM@SenSys 2020: 89-93
2019
[c219]
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  - conf/eenergy/KriechbaumerJJ19
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  - https://dblp.org/rec/conf/eenergy/KriechbaumerJJ19
Thomas Kriechbaumer, Daniel Jorde, Hans-Arno Jacobsen:
Waveform Signal Entropy and Compression Study of Whole-Building Energy Datasets. e-Energy 2019: 58-67
[c218]
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  - conf/eenergy/KahlKJHJ19
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  - https://dblp.org/rec/conf/eenergy/KahlKJHJ19
Matthias Kahl, Thomas Kriechbaumer, Daniel Jorde, Anwar Ul Haq, Hans-Arno Jacobsen:
Appliance Event Detection - A Multivariate, Supervised Classification Approach. e-Energy 2019: 373-375
[c213]
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  dblp key:
  - conf/smartgridcomm/JordeKJ19
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  - https://dblp.org/rec/conf/smartgridcomm/JordeKJ19
Daniel Jorde, Matthias Kahl, Hans-Arno Jacobsen:
MEED: An Unsupervised Multi-Environment Event Detector for Non-Intrusive Load Monitoring. SmartGridComm 2019: 1-6
[i17]
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  dblp key:
  - journals/corr/abs-1904-11580
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Matthias Kahl, Thomas Kriechbaumer, Daniel Jorde, Anwar Ul Haq, Hans-Arno Jacobsen:
Appliance Event Detection - A Multivariate, Supervised Classification Approach. CoRR abs/1904.11580 (2019)
2018
[c193]
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  - conf/smartgridcomm/JordeKJ18
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Daniel Jorde, Thomas Kriechbaumer, Hans-Arno Jacobsen:
Electrical Appliance Classification using Deep Convolutional Neural Networks on High Frequency Current Measurements. SmartGridComm 2018: 1-6

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