Format
Sort by

Send to

Choose Destination

Search results

Items: 4

1.

Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective.

Mochida K, Koda S, Inoue K, Hirayama T, Tanaka S, Nishii R, Melgani F.

Gigascience. 2019 Jan 1;8(1). doi: 10.1093/gigascience/giy153. Review.

2.

Real-Time Indoor Scene Description for the Visually Impaired Using Autoencoder Fusion Strategies with Visible Cameras.

Malek S, Melgani F, Mekhalfi ML, Bazi Y.

Sensors (Basel). 2017 Nov 16;17(11). pii: E2641. doi: 10.3390/s17112641.

3.

Active learning methods for electrocardiographic signal classification.

Pasolli E, Melgani F.

IEEE Trans Inf Technol Biomed. 2010 Nov;14(6):1405-16. doi: 10.1109/TITB.2010.2048922.

PMID:
21056938
4.

Classification of electrocardiogram signals with support vector machines and particle swarm optimization.

Melgani F, Bazi Y.

IEEE Trans Inf Technol Biomed. 2008 Sep;12(5):667-77. doi: 10.1109/TITB.2008.923147.

PMID:
18779082

Supplemental Content

Loading ...
Support Center