A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction.

Bardh Prenkaj|Paola Velardi|Damiano Distante|Stefano Faralli


Anthology ID:DBLP:conf/cikm/PrenkajVD020
Volume:CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
Year:2020
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2169-2172
URL:https://doi.org/10.1145/3340531.3412088
DOI:https://doi.org/10.1145/3340531.3412088
DBLP:conf/cikm/PrenkajVD020
BibTeX:
@inproceedings{prenkaj-2020-reproducibility, author = {Bardh Prenkaj and Paola Velardi and Damiano Distante and Stefano Faralli}, editor = {Mathieu d'Aquin and Stefan Dietze and Claudia Hauff and Edward Curry and Philippe Cudr\'{e}-Mauroux}, title = {{A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction}}, booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}}, pages = {2169--2172}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3340531.3412088}, doi = {https://doi.org/10.1145/3340531.3412088} }