Research article in proceedings (conference)
Carvalho, T., Martins, D., & Lima, N. F. (2021). MapView: Exploring Datasets via Unsupervised View Recommendation. In unknown, u., & , (Eds.), {IEEE} Latin American Conference on Computational Intelligence, {LA-CCI} 2021, Temuco, Chile, November 2-4, 2021 (pp. 1–6). Temuco, Chile: IEEE.
More details BibTeX Full text DOI
@inproceedings{CarvalhoML2021MapViewExploring,
author = {TBA Carvalho and DML Martins and Neto FB Lima},
title = {MapView: Exploring Datasets via Unsupervised View Recommendation},
booktitle = {{IEEE} Latin American Conference on Computational Intelligence, {LA-CCI} 2021, Temuco, Chile, November 2-4, 2021},
pages = {1--6},
editor = {unknown unknown and },
year = {2021},
publisher = {IEEE},
address = {Temuco, Chile},
isbn = {978-1-7281-8864-5},
doi = {10.1109/LA-CCI48322.2021.9769785},
url = {https://doi.org/10.1109/LA-CCI48322.2021.9769785},
note = {Publication status: Published}
}
Dai, Y., Gieseke, F., Oehmcke, S., Wu, Y., & Barnard, K. (2021). Attentional Feature Fusion. In Proceedings of the Workshop on Applications of Computer Vision (WACV), Waikoloa, Hawaii, 3559–3568.
More details BibTeX DOI
@inproceedings{DaiGOWB2021Attentional,
author = {Yimian Dai and Fabian Gieseke and Stefan Oehmcke and Yiquan Wu and Kobus Barnard},
title = {Attentional Feature Fusion},
booktitle = {Proceedings of the Workshop on Applications of Computer Vision (WACV)},
pages = {3559--3568},
year = {2021},
publisher = {IEEE},
address = {Waikoloa, Hawaii},
doi = {10.1109/WACV48630.2021.00360},
note = {Publication status: Published}
}
Munksgaard, P., Breddam, S., Henriksen, T., Gieseke, F., & Oancea, C. E. (2021). Dataset Sensitive Autotuning of Multi-versioned Code Based on Monotonic Properties — Autotuning in Futhark. In Proceedings of the 22nd International Symposium on Trends in Functional Programming (TFP), Virtual Event, 3–23.
More details BibTeX DOI
@inproceedings{MunksgaardBHGO2021DatasetSensitive,
author = {P Munksgaard and S Breddam and T Henriksen and F Gieseke and C E Oancea},
title = {Dataset Sensitive Autotuning of Multi-versioned Code Based on Monotonic Properties --- Autotuning in Futhark},
booktitle = {Proceedings of the 22$^{nd}$ International Symposium on Trends in Functional Programming (TFP)},
pages = {3--23},
series = {Lecture Notes in Computer Science},
volume = {12834},
year = {2021},
publisher = {Springer},
address = {Virtual Event},
doi = {10.1007/978-3-030-83978-9},
note = {Publication status: Published}
}
Oehmcke, S., Nyegaard-Signori, T., Grogan, K., & Gieseke, F. (2021). Estimating Forest Canopy Height With Multi-Spectral and Multi-Temporal Imagery Using Deep Learning. In Chen, Y., Ludwig, H., Tu, Y., Fayyad, U. M., Zhu, X., Hu, X., Byna, S., Liu, X., Zhang, J., Pan, S., Papalexakis, V., Wang, J., Cuzzocrea, A., & Ordonez, C. (Eds.), 2021 {IEEE} International Conference on Big Data (Big Data) (pp. 4915–4924). Orlando, US: Wiley-IEEE Press.
More details BibTeX DOI
@inproceedings{OehmckeNSGG2021Estimating,
author = {Stefan Oehmcke and Thomas Nyegaard-Signori and Kenneth Grogan and Fabian Gieseke},
title = {Estimating Forest Canopy Height With Multi-Spectral and Multi-Temporal Imagery Using Deep Learning},
booktitle = {2021 {IEEE} International Conference on Big Data (Big Data)},
pages = {4915--4924},
editor = {Yixin Chen and Heiko Ludwig and Yicheng Tu and Usama M. Fayyad and Xingquan Zhu and Xiaohua Hu and Suren Byna and Xiong Liu and Jianping Zhang and Shirui Pan and Vagelis Papalexakis and Jianwu Wang and Alfredo Cuzzocrea and Carlos Ordonez},
year = {2021},
publisher = {Wiley-IEEE Press},
address = {Orlando, US},
doi = {10.1109/BigData52589.2021.9672018},
note = {Publication status: Published}
}
Silva, R. E., Martins, D., & Lima, N. F. (2021). Automatic Feature Engineering Using Self-Organizing Maps. In Unknown, U., & , (Eds.), {IEEE} Latin American Conference on Computational Intelligence, {LA-CCI} 2021, Temuco, Chile, November 2-4, 2021 (pp. 1–6). Temuco, Chile: IEEE.
More details BibTeX Full text DOI
@inproceedings{SilvaML2021AutomaticFeature,
author = {Rodrigues E Silva and DML Martins and Neto FB Lima},
title = {Automatic Feature Engineering Using Self-Organizing Maps},
booktitle = {{IEEE} Latin American Conference on Computational Intelligence, {LA-CCI} 2021, Temuco, Chile, November 2-4, 2021},
pages = {1--6},
editor = {Unknown Unknown and },
year = {2021},
publisher = {IEEE},
address = {Temuco, Chile},
isbn = {978-1-7281-8864-5},
doi = {10.1109/LA-CCI48322.2021.9769788},
url = {https://doi.org/10.1109/LA-CCI48322.2021.9769788},
note = {Publication status: Published}
}
Silva, R. E., Martins, D., & Lima, N. F. (2021). Self-Organizing Transformations for Automatic Feature Engineering. In unknown, u., & , (Eds.), 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1–7). Orlando: IEEE.
More details BibTeX Full text DOI
@inproceedings{SilvaML2021SelfOrganizing,
author = {Rodrigues E Silva and DML Martins and Neto FB Lima},
title = {Self-Organizing Transformations for Automatic Feature Engineering},
booktitle = {2021 IEEE Symposium Series on Computational Intelligence (SSCI)},
pages = {1--7},
editor = {unknown unknown and },
year = {2021},
publisher = {IEEE},
address = {Orlando},
isbn = {978-1-7281-9048-8},
doi = {10.1109/SSCI50451.2021.9659940},
url = {https://doi.org/10.1109/SSCI50451.2021.9659940},
note = {Publication status: Published}
}
