Maysam Behmanesh

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Manifold Regularization

Support Vector Machine

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Signal Process.

Publications

Maysam Behmanesh, Maks Ovsjanikov
Smoothed Graph Contrastive Learning via Seamless Proximity Integration. CoRR (2024)
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani
Cross-modal and multimodal data analysis based on functional mapping of spectral descriptors and manifold regularization. Neurocomputing 598 (2024)
Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot
Geometric Multimodal Deep Learning With Multiscaled Graph Wavelet Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov
TIDE: Time Derivative Diffusion for Deep Learning on Graphs. ICML (2023)
Maximilian Krahn, Maysam Behmanesh, Maks Ovsjanikov
TIDE: Time Derivative Diffusion for Deep Learning on Graphs. CoRR (2022)
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization. CoRR (2021)
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Christian Jutten, Sayyed Mohammad Saeed Ehsani
Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization. IEEE Trans. Signal Process. 69 (2021)
Maysam Behmanesh, Peyman Adibi, Mohammad Saeid Ehsani, Jocelyn Chanussot
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network. CoRR (2021)
Maysam Behmanesh, Peyman Adibi, Hossein Karshenas
Weighted Least Squares Twin Support Vector Machine with Fuzzy Rough Set Theory for Imbalanced Data Classification. CoRR (2021)