Maysam Behmanesh

According to our database, Maysam Behmanesh authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Geometric Multimodal Deep Learning With Multiscaled Graph Wavelet Convolutional Network.

Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Cross-modal and multimodal data analysis based on functional mapping of spectral descriptors and manifold regularization.

Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani

Neurocomputing, 2024

Smoothed Graph Contrastive Learning via Seamless Proximity Integration.

Maysam Behmanesh, Maks Ovsjanikov

CoRR, 2024

2023

TIDE: Time Derivative Diffusion for Deep Learning on Graphs.

Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov

Proceedings of the International Conference on Machine Learning, 2023

2021

Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization.

Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Christian Jutten, Sayyed Mohammad Saeed Ehsani

IEEE Trans. Signal Process., 2021

Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network.

Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot

CoRR, 2021

Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification.

Maysam Behmanesh, Peyman Adibi, Hossein Karshenas

CoRR, 2021