R. Jaber, Rami Qahwaji, Amr Abdullatif, J. Buckley, Raed Abd-Alhameed. Proposing a Three-Stage Model to Quantify Bradykinesia on a Symptom Severity Level Using Deep Learning. In Thomas Jansen 0001, Richard Jensen, Neil Mac Parthaláin, Chih-Min Lin, editors, Advances in Computational Intelligence Systems - Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Volume 1409 of Advances in Intelligent Systems and Computing, pages 428-438, Springer, 2021. [doi]
@inproceedings{JaberQABA21, title = {Proposing a Three-Stage Model to Quantify Bradykinesia on a Symptom Severity Level Using Deep Learning}, author = {R. Jaber and Rami Qahwaji and Amr Abdullatif and J. Buckley and Raed Abd-Alhameed}, year = {2021}, doi = {10.1007/978-3-030-87094-2_38}, url = {https://doi.org/10.1007/978-3-030-87094-2_38}, researchr = {https://researchr.org/publication/JaberQABA21}, cites = {0}, citedby = {0}, pages = {428-438}, booktitle = {Advances in Computational Intelligence Systems - Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK}, editor = {Thomas Jansen 0001 and Richard Jensen and Neil Mac Parthaláin and Chih-Min Lin}, volume = {1409}, series = {Advances in Intelligent Systems and Computing}, publisher = {Springer}, isbn = {978-3-030-87094-2}, }