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Martin Schiemer

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2020 – today

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2023
[j3]
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  - journals/percom/SchiemerFDY23
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Martin Schiemer, Lei Fang, Simon Dobson, Juan Ye:
Online continual learning for human activity recognition. Pervasive Mob. Comput. 93: 101817 (2023)
[i3]
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  - journals/corr/abs-2310-03675
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Martin Schiemer, Clemens JS Schaefer, Jayden Parker Vap, Mark James Horeni, Yu Emma Wang, Juan Ye, Siddharth Joshi:
Hadamard Domain Training with Integers for Class Incremental Quantized Learning. CoRR abs/2310.03675 (2023)
2021
[j2]
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Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye:
Continual learning in sensor-based human activity recognition: An empirical benchmark analysis. Inf. Sci. 575: 1-21 (2021)
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  - journals/tiot/YeNSJZ21
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Juan Ye, Pakawat Nakwijit, Martin Schiemer, Saurav Jha, Franco Zambonelli:
Continual Activity Recognition with Generative Adversarial Networks. ACM Trans. Internet Things 2(2): 9:1-9:25 (2021)
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  - journals/corr/abs-2104-09396
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Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye:
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis. CoRR abs/2104.09396 (2021)
2020
[i1]
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  - journals/corr/abs-2007-03032
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Saurav Jha, Martin Schiemer, Juan Ye:
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization. CoRR abs/2007.03032 (2020)

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