moya.bib

@article{Reining2019-HAR,
  issn = {2078-2489},
  title = {{Human Activity Recognition for Production and Logistics - A Systematic Literature Review}},
  journal = {Information},
  author = {Christopher Reining AND Friedrich Niemann AND Fernando Moya Rueda AND Gernot A. Fink AND Michael ten Hompel},
  number = {8},
  volume = {10},
  doi = {10.3390/info10080245},
  link = {https://www.mdpi.com/2078-2489/10/8/245},
  year = {2019}
}
@inproceedings{Moya2019-CSR,
  numpages = {6},
  publisher = {IEEE},
  isbn = {978-1-5386-9151-9/19},
  title = {{Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition}},
  series = {CoMoRea'19},
  booktitle = {CoMoRea'19 - 15th Workshop on Context Modeling and Recognition},
  author = {Fernando Moya Rueda AND Stefan Lüdtke AND Max Schröder AND Kristina Yordanova AND Thomas Kirste AND Gernot A. Fink},
  link = {https://ieeexplore.ieee.org/document/8730792},
  location = {Kyoto, Japan},
  year = {2019},
  pages = {22--27}
}
@article{Moya2018-CNN,
  title = {{Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors}},
  author = {Fernando Moya Rueda AND Rene Grzeszick AND Gernot A. Fink AND Sascha Feldhorst AND Michael ten Hompel},
  number = {5},
  volume = {26},
  link = {http://www.mdpi.com/2227-9709/5/2/26},
  year = {2018},
  journal = {informatics}
}
@inproceedings{Moya2018-TFSAAHAR,
  publisher = {IEEE},
  doi = {10.15439/2018F188},
  title = {{Towards a Framework for Semi-Automated Annotation of Human Order Picking Activities Using Motion Capturing}},
  series = {Annals of Computer Science and Information Systems},
  booktitle = {Proceedings of the 2018 Federated Conference on Computer Science and Information Systems},
  author = {Christopher Reining AND Fernando Moya Rueda AND Michael ten Hompel AND Gernot A. Fink},
  volume = {15},
  link = {https://ieeexplore.ieee.org/document/8511174},
  editor = {M. Ganzha and L. Maciaszek and M. Paprzycki},
  year = {2018},
  pages = {817--821}
}
@inproceedings{Moya2018-ARHAR,
  numpages = {10},
  publisher = {ACM},
  doi = {10.1145/3266157.3266214},
  isbn = {978-1-4503-6487-4},
  acmid = {3266214},
  keyword = {Attribute-based Representation, Deep Learning, Human Activity Recognition (HAR), Motion Capturing, Order Picking},
  title = {{Attribute Representation for Human Activity Recognition of Manual Order Picking Activities}},
  series = {iWOAR '18},
  booktitle = {Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction},
  author = {Christopher Reining AND Michelle Schlangen AND Leon Hissmann AND Michael ten Hompel AND Fernando Moya AND Gernot A. Fink},
  link = {https://doi.org/10.1145/3266157.3266214},
  location = {Berlin, Germany},
  year = {2018},
  articleno = {10},
  pages = {10:1--10:10},
  address = {New York, NY, USA}
}
@inproceedings{Moya2018-LAR,
  publisher = {IEEE},
  issn = {1051-4651},
  author = {Fernando Moya Rueda AND Gernot A. Fink},
  title = {{Learning Attribute Representation for Human Activity Recognition}},
  booktitle = {Proc. Int. Conf. on Pattern Recognition},
  address = {Bejing, China},
  doi = {10.1109/ICPR.2018.8545146},
  link = {https://ieeexplore.ieee.org/document/8545146},
  year = {2018},
  pages = {523-528}
}
@inproceedings{Grzeszick2017-DNN,
  author = {Rene Grzeszick AND Jan Marius Lenk AND Fernando Moya Rueda AND Sascha Feldhorst AND Michael ten Hompel AND Gernot A. Fink},
  title = {{Deep Neural Network based Human Activity Recognition for the Order Picking Process}},
  address = {Rostock, Germany},
  note = {Winner of the iWOAR Best Paper Award},
  year = {2017},
  booktitle = {Proc. Int. Workshop on Sensor-based Activity Recognition and Interaction (iWOAR)}
}
@inproceedings{Moya2017-NPC,
  author = {Fernando Moya Rueda AND Rene Grzeszick AND Gernot A. Fink},
  title = {{Neuron Pruning for Compressing Deep Networks using Maxout Architectures}},
  address = {Basel, Switzerland},
  link = {https://link.springer.com/chapter/10.1007/978-3-319-66709-6_15},
  year = {2017},
  booktitle = {Proc. 39th German Conf. Pattern Recognition}
}