Graph Dual-stream Convolutional Attention Fusion for precipitation nowcasting. - Vatamany, Lorand; Mehrkanoon, Siamak (Eng. Appl. Artif. Intell., 2025)

TransCORALNet: A two-stream transformer CORAL networks for supply chain credit assessment cold start. - Shi, Jie; Siebes, Arno P. J. M.; Mehrkanoon, Siamak (Expert Syst. Appl., 2025)

BAST-Mamba: Binaural Audio Spectrogram Mamba Transformer for binaural sound localization. - Kuang, Sheng; Shi, Jie; Heijden, Kiki van der; Mehrkanoon, Siamak (Neurocomputing, 2025)

Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet. - Cornelissen, Aleksej; Shi, Jie; Mehrkanoon, Siamak (CoRR, 2025)

SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling. - Turzi, Marco; Mehrkanoon, Siamak (CoRR, 2025)

From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis. - Grieger, Niklas; Mehrkanoon, Siamak; Ritter, Philipp; Bialonski, Stephan (CoRR, 2025)

GA-SmaAt-GNet: Generative adversarial small attention GNet for extreme precipitation nowcasting. - Reulen, Eloy; Shi, Jie; Mehrkanoon, Siamak (Knowl. Based Syst., 2024)

Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding. - Goené, Lucas; Mehrkanoon, Siamak (2024)

A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification. - Kazatzidis, Sergio; Mehrkanoon, Siamak (2024)

GD-CAF: Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting. - Vatamany, Lorand; Mehrkanoon, Siamak (CoRR, 2024)

GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting. - Reulen, Eloy; Mehrkanoon, Siamak (CoRR, 2024)

Data-Efficient Sleep Staging with Synthetic Time Series Pretraining. - Grieger, Niklas; Mehrkanoon, Siamak; Bialonski, Stephan (CoRR, 2024)

Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding. - Goené, Lucas; Mehrkanoon, Siamak (CoRR, 2024)

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting. - Li, Haotian; Siebes, Arno; Mehrkanoon, Siamak (CoRR, 2024)

MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets. - Kuang, Sheng; Woodruff, Henry C.; Granzier, Renee; Nijnatten, Thiemo J. A. van; Lobbes, Marc B. I.; Smidt, Marjolein L.; Lambin, Philippe; Mehrkanoon, Siamak (Neural Networks, 2023)

SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks. - Renault, Mathieu; Mehrkanoon, Siamak (2023)

WF-UNet: Weather Data Fusion using 3D-UNet for Precipitation Nowcasting. - Kaparakis, Christos; Mehrkanoon, Siamak (2023)

MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets. - Kuang, Sheng; Woodruff, Henry C.; Granzier, Renee; Nijnatten, Thiemo J. A. van; Lobbes, Marc B. I.; Smidt, Marjolein L.; Lambin, Philippe; Mehrkanoon, Siamak (CoRR, 2023)

WF-UNet: Weather Fusion UNet for Precipitation Nowcasting. - Kaparakis, Christos; Mehrkanoon, Siamak (CoRR, 2023)

SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks. - Renault, Mathieu; Mehrkanoon, Siamak (CoRR, 2023)

TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start. - Shi, Jie; Siebes, Arno P. J. M.; Mehrkanoon, Siamak (CoRR, 2023)

A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification. - Kazatzidis, Sergio; Mehrkanoon, Siamak (CoRR, 2023)

Goal-driven, neurobiological-inspired convolutional neural network models of human spatial hearing. - Heijden, Kiki van der; Mehrkanoon, Siamak (Neurocomputing, 2022)

GCN-FFNN: A two-stream deep model for learning solution to partial differential equations. - Bilgin, Onur; Vergutz, Thomas; Mehrkanoon, Siamak (Neurocomputing, 2022)

Deep coastal sea elements forecasting using UNet-based models. - Fernández, Jesús García; Abdellaoui, Ismail Alaoui; Mehrkanoon, Siamak (Knowl. Based Syst., 2022)

AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks. - Yang, Yimin; Mehrkanoon, Siamak (2022)

AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks. - Yang, Yimin; Mehrkanoon, Siamak (CoRR, 2022)

GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations. - Bilgin, Onur; Vergutz, Thomas; Mehrkanoon, Siamak (CoRR, 2022)

BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization. - Kuang, Sheng; Heijden, Kiki van der; Mehrkanoon, Siamak (CoRR, 2022)

Broad-UNet: Multi-scale feature learning for nowcasting tasks. - Fernández, Jesús García; Mehrkanoon, Siamak (Neural Networks, 2021)

SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture. - Trebing, Kevin; Stanczyk, Tomasz; Mehrkanoon, Siamak (Pattern Recognit. Lett., 2021)

Enhancing brain decoding using attention augmented deep neural networks. - Abdellaoui, Ismail Alaoui; Fernández, Jesús García; Sahinli, Caner; Mehrkanoon, Siamak (2021)

Deep Graph Convolutional Networks for Wind Speed Prediction. - Stanczyk, Tomasz; Mehrkanoon, Siamak (2021)

Exploring automatic liver tumor segmentation using deep learning. - Fernández, Jesús García; Fortunati, Valerio; Mehrkanoon, Siamak (2021)

Symbolic regression for scientific discovery: an application to wind speed forecasting. - Abdellaoui, Ismail Alaoui; Mehrkanoon, Siamak (2021)

Multistream Graph Attention Networks for Wind Speed Forecasting. - Aykas, Dogan; Mehrkanoon, Siamak (2021)

Towards biologically plausible learning in neural networks. - Fernández, Jesús García; Hortal, Enrique; Mehrkanoon, Siamak (2021)

Deep Graph Convolutional Networks for Wind Speed Prediction. - Stanczyk, Tomasz; Mehrkanoon, Siamak (CoRR, 2021)

Broad-UNet: Multi-scale feature learning for nowcasting tasks. - Fernández, Jesús García; Mehrkanoon, Siamak (CoRR, 2021)

Symbolic regression for scientific discovery: an application to wind speed forecasting. - Abdellaoui, Ismail Alaoui; Mehrkanoon, Siamak (CoRR, 2021)

TENT: Tensorized Encoder Transformer for Temperature Forecasting. - Bilgin, Onur; Maka, Pawel; Vergutz, Thomas; Mehrkanoon, Siamak (CoRR, 2021)

Multistream Graph Attention Networks for Wind Speed Forecasting. - Aykas, Dogan; Mehrkanoon, Siamak (CoRR, 2021)

Learning from partially labeled data. - Mehrkanoon, Siamak; Huang, Xiaolin; Suykens, Johan A. K. (2020)

Modelling human sound localization with deep neural networks. - Heijden, Kiki van der; Mehrkanoon, Siamak (2020)

A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning. - He, Fan; Tang, Sanli; Mehrkanoon, Siamak; Huang, Xiaolin; Yang, Jie (2020)

Wind speed prediction using multidimensional convolutional neural networks. - Trebing, Kevin; Mehrkanoon, Siamak (2020)

Deep brain state classification of MEG data. - Abdellaoui, Ismail Alaoui; Fernández, Jesús García; Sahinli, Caner; Mehrkanoon, Siamak (CoRR, 2020)

SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture. - Trebing, Kevin; Mehrkanoon, Siamak (CoRR, 2020)

Deep Neural-Kernel Machines. - Mehrkanoon, Siamak (CoRR, 2020)

Wind speed prediction using multidimensional convolutional neural networks. - Trebing, Kevin; Mehrkanoon, Siamak (CoRR, 2020)

Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks. - Abdellaoui, Ismail Alaoui; Mehrkanoon, Siamak (CoRR, 2020)

Deep coastal sea elements forecasting using U-Net based models. - Fernández, Jesús García; Abdellaoui, Ismail Alaoui; Mehrkanoon, Siamak (CoRR, 2020)

Deep shared representation learning for weather elements forecasting. - Mehrkanoon, Siamak (Knowl. Based Syst., 2019)

Deep neural-kernel blocks. - Mehrkanoon, Siamak (Neural Networks, 2019)

Cross-domain neural-kernel networks. - Mehrkanoon, Siamak (Pattern Recognit. Lett., 2019)

Cross-Domain Neural-Kernel Networks. - Mehrkanoon, Siamak (2019)

Deep Shared Representation Learning for Weather Elements Forecasting. - Mehrkanoon, Siamak (2019)

Deep hybrid neural-kernel networks using random Fourier features. - Mehrkanoon, Siamak; Suykens, Johan A. K. (Neurocomputing, 2018)

Indefinite kernel spectral learning. - Mehrkanoon, Siamak; Huang, Xiaolin; Suykens, Johan A. K. (Pattern Recognit., 2018)

Regularized Semipaired Kernel CCA for Domain Adaptation. - Mehrkanoon, Siamak; Suykens, Johan A. K. (IEEE Trans. Neural Networks Learn. Syst., 2018)

Shallow and Deep Models for Domain Adaptation problems. - Mehrkanoon, Siamak; Blaschko, Matthew B.; Suykens, Johan A. K. (2018)

Scalable Hybrid Deep Neural Kernel Networks. - Mehrkanoon, Siamak; Zell, Andreas; Suykens, Johan A. K. (2017)

Estimating the unknown time delay in chemical processes. - Mehrkanoon, Siamak; Shardt, Yuri A. W.; Suykens, Johan A. K.; Ding, Steven X. (Eng. Appl. Artif. Intell., 2016)

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses. - Feng, Yunlong; Yang, Yuning; Huang, Xiaolin; Mehrkanoon, Siamak; Suykens, Johan A. K. (Neural Comput., 2016)

Multi-label semi-supervised learning using regularized kernel spectral clustering. - Mehrkanoon, Siamak; Suykens, Johan A. K. (2016)

Scalable Semi-supervised kernel spectral learning using random Fourier features. - Mehrkanoon, Siamak; Suykens, Johan A. K. (2016)

Incorporation of Prior Knowledge into Kernel Based Models ; Incorporatie van voorkennis in kernel-gebaseerde modellen. - Mehrkanoon, Siamak (2015)

Learning solutions to partial differential equations using LS-SVM. - Mehrkanoon, Siamak; Suykens, Johan A. K. (Neurocomputing, 2015)

Incremental multi-class semi-supervised clustering regularized by Kalman filtering. - Mehrkanoon, Siamak; Agudelo, Oscar Mauricio; Suykens, Johan A. K. (Neural Networks, 2015)

Identifying intervals for hierarchical clustering using the Gershgorin circle theorem. - Mall, Raghvendra; Mehrkanoon, Siamak; Suykens, Johan A. K. (Pattern Recognit. Lett., 2015)

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering. - Mehrkanoon, Siamak; Alzate, Carlos; Mall, Raghvendra; Langone, Rocco; Suykens, Johan A. K. (IEEE Trans. Neural Networks Learn. Syst., 2015)

Black-box modeling for temperature prediction in weather forecasting. - Karevan, Zahra; Mehrkanoon, Siamak; Suykens, Johan A. K. (2015)

Hierarchical semi-supervised clustering using KSC based model. - Mehrkanoon, Siamak; Agudelo, Oscar Mauricio; Mall, Raghvendra; Suykens, Johan A. K. (2015)

Higher order Matching Pursuit for Low Rank Tensor Learning. - Yang, Yuning; Mehrkanoon, Siamak; Suykens, Johan A. K. (CoRR, 2015)

Parameter estimation of delay differential equations: An integration-free LS-SVM approach. - Mehrkanoon, Siamak; Mehrkanoon, Saeid; Suykens, Johan A. K. (Commun. Nonlinear Sci. Numer. Simul., 2014)

Non-parallel support vector classifiers with different loss functions. - Mehrkanoon, Siamak; Huang, Xiaolin; Suykens, Johan A. K. (Neurocomputing, 2014)

Optimal reduced sets for sparse kernel spectral clustering. - Mall, Raghvendra; Mehrkanoon, Siamak; Langone, Rocco; Suykens, Johan A. K. (2014)

SVD truncation schemes for fixed-size kernel models. - Castro-Garcia, Ricardo; Mehrkanoon, Siamak; Marconato, Anna; Schoukens, Johan; Suykens, Johan A. K. (2014)

Large scale semi-supervised learning using KSC based model. - Mehrkanoon, Siamak; Suykens, Johan A. K. (2014)

Support vector machines with piecewise linear feature mapping. - Huang, Xiaolin; Mehrkanoon, Siamak; Suykens, Johan A. K. (Neurocomputing, 2013)

Non-parallel semi-supervised classification based on kernel spectral clustering. - Mehrkanoon, Siamak; Suykens, Johan A. K. (2013)

LS-SVM approximate solution to linear time varying descriptor systems. - Mehrkanoon, Siamak; Suykens, Johan A. K. (Autom., 2012)

Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines. - Mehrkanoon, Siamak; Falck, Tillmann; Suykens, Johan A. K. (IEEE Trans. Neural Networks Learn. Syst., 2012)

A direct variable step block multistep method for solving general third-order ODEs. - Mehrkanoon, Siamak (Numer. Algorithms, 2011)

Symbolic computing of LS-SVM based models. - Mehrkanoon, Siamak; Jiang, Li; Alzate, Carlos; Suykens, Johan A. K. (2011)

A variable step implicit block multistep method for solving first-order ODEs. - Mehrkanoon, Siamak; Majid, Zanariah Abdul; Suleiman, Mohamed (J. Comput. Appl. Math., 2010)