Items for Gunthermann, Lukas Kornelius

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Number of items: 5.

Book Section

Gunthermann, Lukas, Wang, Lin, Simpson, Ivor, Philippides, Andrew and Roggen, Daniel (2022) Adversarial learning in accelerometer based transportation and locomotion mode recognition. In: Razavi-Far, Roozbeh, Ruiz-Garcia, Ariel, Palade, Vasile and Schmidhuber, Juergen (eds.) Generative adversarial learning: architectures and applications. Intelligent Systems Reference Library, 217 . Springer, Cham, pp. 205-232. ISBN 9783030913892

Gunthermann, Lukas, Philippides, Andrew and Roggen, Daniel (2021) Improving smartphone based transport mode recognition using generative adversarial networks. In: Ahad, Md Atiqur Rahman, Inoue, Sozo, Roggen, Daniel and Fujinami, Kaori (eds.) Activity and behavior computing. Smart innovation, systems and technologies . Springer, pp. 63-79. ISBN 9789811589430

Conference or Workshop Item

Gunthermann, Lukas, Philippides, Andrew and Roggen, Daniel (2020) Improving smartphone based transport mode recognition using generative adversarial networks. In: International Conference on Activity and Behavior Computing, Aug. 26-29, 2020, Kitakyushu, Japan.

Conference Proceedings

Gunthermann, Lukas K, Pellatt, Lloyd and Roggen, Daniel (2022) Slow feature preprocessing in deep neural networks for wearable sensor-based locomotion recognition. 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 21 Mar 2022 - 25 Mar 2022. Published in: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022. 58-61. IEEE ISBN 9781665416474

G√ľnthermann, Lukas, Simpson, Ivor and Roggen, Daniel (2020) Smartphone location identification and transport mode recognition using an ensemble of generative adversarial networks. UbiComp/ISWC '20, Virtual Event Mexico, September, 2020. Published in: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers. 311-316. ACM, NY, United States. ISBN 9781450380768

This list was generated on Sat Jan 28 03:32:13 2023 GMT.