| 2025 | IJCNN | SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling. | Marco Turzi, Siamak Mehrkanoon |
| 2024 | ESANN | Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding. | Lucas Goen, Siamak Mehrkanoon |
| 2024 | IJCNN | A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification. | Sergio Kazatzidis, Siamak Mehrkanoon |
| 2023 | IJCNN | SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks. | Mathieu Renault, Siamak Mehrkanoon |
| 2022 | IJCNN | AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks. | Yimin Yang, Siamak Mehrkanoon |
| 2021 | ESANN | Enhancing brain decoding using attention augmented deep neural networks. | Ismail Alaoui Abdellaoui, Jess Garca Fernndez, Caner Sahinli, Siamak Mehrkanoon |
| 2021 | ESANN | Deep Graph Convolutional Networks for Wind Speed Prediction. | Tomasz Stanczyk, Siamak Mehrkanoon |
| 2021 | IJCNN | Exploring automatic liver tumor segmentation using deep learning. | Jess Garca Fernndez, Valerio Fortunati, Siamak Mehrkanoon |
| 2020 | ESANN | Modelling human sound localization with deep neural networks. | Kiki van der Heijden, Siamak Mehrkanoon |
| 2020 | ESANN | A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning. | Fan He, Sanli Tang, Siamak Mehrkanoon, Xiaolin Huang, Jie Yang |
| 2020 | ESANN | Learning from partially labeled data. | Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens |
| 2018 | ESANN | Shallow and Deep Models for Domain Adaptation problems. | Siamak Mehrkanoon, Matthew B. Blaschko, Johan A. K. Suykens |
| 2017 | ESANN | Scalable Hybrid Deep Neural Kernel Networks. | Siamak Mehrkanoon, Andreas Zell, Johan A. K. Suykens |
| 2016 | IJCNN | Multi-label semi-supervised learning using regularized kernel spectral clustering. | Siamak Mehrkanoon, Johan A. K. Suykens |
| 2015 | IJCNN | Black-box modeling for temperature prediction in weather forecasting. | Zahra Karevan, Siamak Mehrkanoon, Johan A. K. Suykens |
| 2015 | IJCNN | Hierarchical semi-supervised clustering using KSC based model. | Siamak Mehrkanoon, Oscar Mauricio Agudelo, Raghvendra Mall, Johan A. K. Suykens |
| 2014 | IJCNN | SVD truncation schemes for fixed-size kernel models. | Ricardo Castro-Garcia, Siamak Mehrkanoon, Anna Marconato, Johan Schoukens, Johan A. K. Suykens |
| 2014 | IJCNN | Optimal reduced sets for sparse kernel spectral clustering. | Raghvendra Mall, Siamak Mehrkanoon, Rocco Langone, Johan A. K. Suykens |
| 2014 | IJCNN | Large scale semi-supervised learning using KSC based model. | Siamak Mehrkanoon, Johan A. K. Suykens |
| 2013 | IJCNN | Non-parallel semi-supervised classification based on kernel spectral clustering. | Siamak Mehrkanoon, Johan A. K. Suykens |
| 2011 | ESANN | Symbolic computing of LS-SVM based models. | Siamak Mehrkanoon, Li Jiang, Carlos Alzate, Johan A. K. Suykens |