920 citations · 923 across the 3 of their papers we have counts for
4 papers
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network
Maysam Behmanesh, Peyman Adibi, Mohammad Saeed Ehsani +1
Multimodal data provide complementary information of a natural phenomenon by integrating data from various domains with very different statistical properties. Capturing the intra-m…
Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification
Maysam Behmanesh, Peyman Adibi, Hossein Karshenas
Support vector machines (SVMs) are powerful supervised learning tools developed to solve classification problems. However, SVMs are likely to perform poorly in the classification o…
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot +1
Multimodal manifold modeling methods extend the spectral geometry-aware data analysis to learning from several related and complementary modalities. Most of these methods work base…
Machine learning for Internet of Things data analysis: A survey
Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain +3
Rapid developments in hardware, software, and communication technologies have allowed the emergence of Internet-connected sensory devices that provide observation and data measurem…