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Dive into the research topics where Maysam Behmanesh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Cross-modal and multimodal data analysis based on functional mapping of spectral descriptors and manifold regularization
Behmanesh, M., Adibi, P., Chanussot, J. & Ehsani, S. M. S., 14 Sept 2024, In: Neurocomputing. 598, 128062.Research output: Contribution to journal › Article › peer-review
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Geometric Multimodal Deep Learning With Multiscaled Graph Wavelet Convolutional Network
Behmanesh, M., Adibi, P., Ehsani, S. M. S. & Chanussot, J., 1 May 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 5, p. 6991-7005 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Smoothed Graph Contrastive Learning via Seamless Proximity Integration
Behmanesh, M. & Ovsjanikov, M., 1 Jan 2024, In: Proceedings of Machine Learning Research. 269Research output: Contribution to journal › Conference article › peer-review
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TIDE: Time Derivative Diffusion for Deep Learning on Graphs
Behmanesh, M., Krahn, M. & Ovsjanikov, M., 1 Jan 2023, In: Proceedings of Machine Learning Research. 202, p. 2015-2030 16 p.Research output: Contribution to journal › Conference article › peer-review
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Geometric multimodal learning based on local signal expansion for joint diagonalization
Behmanesh, M., Adibi, P., Chanussot, J., Jutten, C. & Ehsani, S. M. S., 1 Jan 2021, In: IEEE Transactions on Signal Processing. 69, p. 1271-1286 16 p., 9334435.Research output: Contribution to journal › Article › peer-review
Open Access