Siamak Mehrkanoon

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 55

Top Venues

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Eloy Reulen, Siamak Mehrkanoon
GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting. CoRR (2024)
Lorand Vatamany, Siamak Mehrkanoon
GD-CAF: Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting. CoRR (2024)
Niklas Grieger, Siamak Mehrkanoon, Stephan Bialonski
Data-Efficient Sleep Staging with Synthetic Time Series Pretraining. CoRR (2024)
Mathieu Renault, Siamak Mehrkanoon
SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks. CoRR (2023)
Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J. A. van Nijnatten, Marc B. I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets. CoRR (2023)
Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J. A. van Nijnatten, Marc B. I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon
MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets. Neural Networks 165 (2023)
Christos Kaparakis, Siamak Mehrkanoon
WF-UNet: Weather Data Fusion using 3D-UNet for Precipitation Nowcasting. INNS DLIA@IJCNN (2023)
Mathieu Renault, Siamak Mehrkanoon
SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks. IJCNN (2023)
Christos Kaparakis, Siamak Mehrkanoon
WF-UNet: Weather Fusion UNet for Precipitation Nowcasting. CoRR (2023)
Sergio Kazatzidis, Siamak Mehrkanoon
A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification. CoRR (2023)
Jie Shi, Arno P. J. M. Siebes, Siamak Mehrkanoon
TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start. CoRR (2023)
Yimin Yang, Siamak Mehrkanoon
AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks. IJCNN (2022)
Onur Bilgin, Thomas Vergutz, Siamak Mehrkanoon
GCN-FFNN: A two-stream deep model for learning solution to partial differential equations. Neurocomputing 511 (2022)
Onur Bilgin, Thomas Vergutz, Siamak Mehrkanoon
GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations. CoRR (2022)
Jesús García Fernández, Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
Deep coastal sea elements forecasting using UNet-based models. Knowl. Based Syst. 252 (2022)
Sheng Kuang, Kiki van der Heijden, Siamak Mehrkanoon
BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization. CoRR (2022)
Yimin Yang, Siamak Mehrkanoon
AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks. CoRR (2022)
Kiki van der Heijden, Siamak Mehrkanoon
Goal-driven, neurobiological-inspired convolutional neural network models of human spatial hearing. Neurocomputing 470 (2022)
Tomasz Stanczyk, Siamak Mehrkanoon
Deep Graph Convolutional Networks for Wind Speed Prediction. ESANN (2021)
Ismail Alaoui Abdellaoui, Jesús García Fernández, Caner Sahinli, Siamak Mehrkanoon
Enhancing brain decoding using attention augmented deep neural networks. ESANN (2021)
Jesús García Fernández, Siamak Mehrkanoon
Broad-UNet: Multi-scale feature learning for nowcasting tasks. Neural Networks 144 (2021)
Jesús García Fernández, Enrique Hortal, Siamak Mehrkanoon
Towards biologically plausible learning in neural networks. SSCI (2021)
Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
Symbolic regression for scientific discovery: an application to wind speed forecasting. CoRR (2021)
Tomasz Stanczyk, Siamak Mehrkanoon
Deep Graph Convolutional Networks for Wind Speed Prediction. CoRR (2021)
Jesús García Fernández, Valerio Fortunati, Siamak Mehrkanoon
Exploring automatic liver tumor segmentation using deep learning. IJCNN (2021)
Dogan Aykas, Siamak Mehrkanoon
Multistream Graph Attention Networks for Wind Speed Forecasting. SSCI (2021)
Onur Bilgin, Pawel Maka, Thomas Vergutz, Siamak Mehrkanoon
TENT: Tensorized Encoder Transformer for Temperature Forecasting. CoRR (2021)
Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
Symbolic regression for scientific discovery: an application to wind speed forecasting. SSCI (2021)
Jesús García Fernández, Siamak Mehrkanoon
Broad-UNet: Multi-scale feature learning for nowcasting tasks. CoRR (2021)
Dogan Aykas, Siamak Mehrkanoon
Multistream Graph Attention Networks for Wind Speed Forecasting. CoRR (2021)
Kevin Trebing, Tomasz Stanczyk, Siamak Mehrkanoon
SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture. Pattern Recognit. Lett. 145 (2021)
Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens
Learning from partially labeled data. ESANN (2020)
Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks. CoRR (2020)
Fan He, Sanli Tang, Siamak Mehrkanoon, Xiaolin Huang, Jie Yang
A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning. ESANN (2020)
Siamak Mehrkanoon
Deep Neural-Kernel Machines. CoRR (2020)
Jesús García Fernández, Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
Deep coastal sea elements forecasting using U-Net based models. CoRR (2020)
Kiki van der Heijden, Siamak Mehrkanoon
Modelling human sound localization with deep neural networks. ESANN (2020)
Kevin Trebing, Siamak Mehrkanoon
Wind speed prediction using multidimensional convolutional neural networks. CoRR (2020)
Kevin Trebing, Siamak Mehrkanoon
SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture. CoRR (2020)
Kevin Trebing, Siamak Mehrkanoon
Wind speed prediction using multidimensional convolutional neural networks. SSCI (2020)
Ismail Alaoui Abdellaoui, Jesús García Fernández, Caner Sahinli, Siamak Mehrkanoon
Deep brain state classification of MEG data. CoRR (2020)
Siamak Mehrkanoon
Deep shared representation learning for weather elements forecasting. Knowl. Based Syst. 179 (2019)
Siamak Mehrkanoon
Deep neural-kernel blocks. Neural Networks 116 (2019)
Siamak Mehrkanoon
Cross-Domain Neural-Kernel Networks. BNAIC/BENELEARN (2019)
Siamak Mehrkanoon
Deep Shared Representation Learning for Weather Elements Forecasting. BNAIC/BENELEARN (2019)
Siamak Mehrkanoon
Cross-domain neural-kernel networks. Pattern Recognit. Lett. 125 (2019)
Siamak Mehrkanoon, Johan A. K. Suykens
Regularized Semipaired Kernel CCA for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Siamak Mehrkanoon, Matthew B. Blaschko, Johan A. K. Suykens
Shallow and Deep Models for Domain Adaptation problems. ESANN (2018)
Siamak Mehrkanoon, Johan A. K. Suykens
Deep hybrid neural-kernel networks using random Fourier features. Neurocomputing 298 (2018)
Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens
Indefinite kernel spectral learning. Pattern Recognit. 78 (2018)
Siamak Mehrkanoon, Andreas Zell, Johan A. K. Suykens
Scalable Hybrid Deep Neural Kernel Networks. ESANN (2017)
Siamak Mehrkanoon, Yuri A. W. Shardt, Johan A. K. Suykens, Steven X. Ding
Estimating the unknown time delay in chemical processes. Eng. Appl. Artif. Intell. 55 (2016)
Yunlong Feng, Yuning Yang, Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens
Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses. Neural Comput. 28 (6) (2016)
Siamak Mehrkanoon, Johan A. K. Suykens
Multi-label semi-supervised learning using regularized kernel spectral clustering. IJCNN (2016)
Siamak Mehrkanoon, Johan A. K. Suykens
Scalable Semi-supervised kernel spectral learning using random Fourier features. SSCI (2016)
Siamak Mehrkanoon, Oscar Mauricio Agudelo, Johan A. K. Suykens
Incremental multi-class semi-supervised clustering regularized by Kalman filtering. Neural Networks 71 (2015)
Siamak Mehrkanoon, Carlos Alzate, Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 26 (4) (2015)
Zahra Karevan, Siamak Mehrkanoon, Johan A. K. Suykens
Black-box modeling for temperature prediction in weather forecasting. IJCNN (2015)
Siamak Mehrkanoon, Johan A. K. Suykens
Learning solutions to partial differential equations using LS-SVM. Neurocomputing 159 (2015)
Yuning Yang, Siamak Mehrkanoon, Johan A. K. Suykens
Higher order Matching Pursuit for Low Rank Tensor Learning. CoRR (2015)
Siamak Mehrkanoon, Oscar Mauricio Agudelo, Raghvendra Mall, Johan A. K. Suykens
Hierarchical semi-supervised clustering using KSC based model. IJCNN (2015)
Raghvendra Mall, Siamak Mehrkanoon, Johan A. K. Suykens
Identifying intervals for hierarchical clustering using the Gershgorin circle theorem. Pattern Recognit. Lett. 55 (2015)
Ricardo Castro-Garcia, Siamak Mehrkanoon, Anna Marconato, Johan Schoukens, Johan A. K. Suykens
SVD truncation schemes for fixed-size kernel models. IJCNN (2014)
Raghvendra Mall, Siamak Mehrkanoon, Rocco Langone, Johan A. K. Suykens
Optimal reduced sets for sparse kernel spectral clustering. IJCNN (2014)
Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens
Non-parallel support vector classifiers with different loss functions. Neurocomputing 143 (2014)
Siamak Mehrkanoon, Johan A. K. Suykens
Large scale semi-supervised learning using KSC based model. IJCNN (2014)
Siamak Mehrkanoon, Saeid Mehrkanoon, Johan A. K. Suykens
Parameter estimation of delay differential equations: An integration-free LS-SVM approach. Commun. Nonlinear Sci. Numer. Simul. 19 (4) (2014)
Siamak Mehrkanoon, Johan A. K. Suykens
Non-parallel semi-supervised classification based on kernel spectral clustering. IJCNN (2013)
Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens
Support vector machines with piecewise linear feature mapping. Neurocomputing 117 (2013)
Siamak Mehrkanoon, Tillmann Falck, Johan A. K. Suykens
Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 23 (9) (2012)
Siamak Mehrkanoon, Johan A. K. Suykens
LS-SVM approximate solution to linear time varying descriptor systems. Autom. 48 (10) (2012)
Siamak Mehrkanoon
A direct variable step block multistep method for solving general third-order ODEs. Numer. Algorithms 57 (1) (2011)
Siamak Mehrkanoon, Li Jiang, Carlos Alzate, Johan A. K. Suykens
Symbolic computing of LS-SVM based models. ESANN (2011)
Siamak Mehrkanoon, Zanariah Abdul Majid, Mohamed Suleiman
A variable step implicit block multistep method for solving first-order ODEs. J. Comput. Appl. Math. 233 (9) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Siamak Mehrkanoon