S. Mehrkanoon

发表

Learning solutions to partial differential equations using LS-SVM

Johan A. K. Suykens, Siamak Mehrkanoon, J. Suykens, 2015, Neurocomputing.

Parameter Estimation for Time Varying Dynamical Systems using Least Squares Support Vector Machines

J. Suykens, T. Falck, S. Mehrkanoon, 2012 .

Identifying intervals for hierarchical clustering using the Gershgorin circle theorem

Johan A. K. Suykens, Raghvendra Mall, Siamak Mehrkanoon, 2015, Pattern Recognit. Lett..

Deep brain state classification of MEG data pdf

Siamak Mehrkanoon, Ismail Alaoui Abdellaoui, Jesus Garcia Fernandez, 2020, ArXiv.

A direct variable step block multistep method for solving general third-order ODEs

Siamak Mehrkanoon, S. Mehrkanoon, 2011, Numerical Algorithms.

Higher order Matching Pursuit for Low Rank Tensor Learning pdf

Johan A. K. Suykens, Siamak Mehrkanoon, Yuning Yang, 2015, ArXiv.

Small data materials design with machine learning: When the average model knows best

Siamak Mehrkanoon, Danny E. P. Vanpoucke, Onno S. J. van Knippenberg, 2020 .

Deep Graph Convolutional Networks for Wind Speed Prediction

Siamak Mehrkanoon, Tomasz Sta'nczyk, S. Mehrkanoon, 2021, ESANN.

Deep hybrid neural-kernel networks using random Fourier features

Johan A. K. Suykens, Siamak Mehrkanoon, J. Suykens, 2018, Neurocomputing.

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Block method for numerical solution of fuzzy differential equations

S. Mehrkanoon, M. Suleiman, Z. Majid, 2009 .

GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations

S. Mehrkanoon, Onur Bilgin, Thomas Vergutz, 2022, ArXiv.

Spline approach to the solution of Sturm - Liouville problem

S. Mehrkanoon, M. Suleiman, Z. Majid, 2009 .

BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization

Kiki van der Heijden, S. Mehrkanoon, Sheng Kuang, 2022, ArXiv.

Online semi-supervised clustering regularized by Kalman filtering

Johan A. K. Suykens, Siamak Mehrkanoon, Mauricio Agudelo Manozca, 2015 .

LS-SVM based solution for delay differential equations

J. Suykens, S. Mehrkanoon, 2013 .

Plasma metabolomic profiling of dietary patterns associated with glucose metabolism status: The Maastricht Study

M. Zeegers, S. Mehrkanoon, S. Eussen, 2022, BMC Medicine.

Modelling the strip thickness in hot steel rolling mills using least‐squares support vector machines

Johan A. K. Suykens, Kaixiang Peng, Steven X. Ding, 2018 .

MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets

P. Lambin, S. Mehrkanoon, H. Woodruff, 2023, ArXiv.

Vegetable intake and the risk of bladder cancer in the BLadder Cancer Epidemiology and Nutritional Determinants (BLEND) international study

P. A. van den Brandt, E. Riboli, A. Tjønneland, 2021, BMC Medicine.

Regularized Semipaired Kernel CCA for Domain Adaptation

Johan A. K. Suykens, Siamak Mehrkanoon, J. Suykens, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Scalable Semi-supervised kernel spectral learning using random Fourier features

Johan A. K. Suykens, Siamak Mehrkanoon, J. Suykens, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Multi-label semi-supervised learning using regularized kernel spectral clustering

Johan A. K. Suykens, Siamak Mehrkanoon, J. Suykens, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Incremental multi-class semi-supervised clustering regularized by Kalman filtering

Johan A. K. Suykens, Siamak Mehrkanoon, Oscar Mauricio Agudelo, 2015, Neural Networks.

Hierarchical semi-supervised clustering using KSC based model

Johan A. K. Suykens, Raghvendra Mall, Siamak Mehrkanoon, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Large scale semi-supervised learning using KSC based model

Johan A. K. Suykens, Siamak Mehrkanoon, J. Suykens, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Non-parallel semi-supervised classification based on kernel spectral clustering

Johan A. K. Suykens, Siamak Mehrkanoon, J. Suykens, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Automated structural health monitoring based on adaptive kernel spectral clustering

Johan A. K. Suykens, Rocco Langone, Edwin Reynders, 2017 .

Grain and dietary fiber intake and bladder cancer risk: a pooled analysis of prospective cohort studies

E. Riboli, A. Tjønneland, G. Giles, 2020, The American journal of clinical nutrition.

The effects of the interaction of genetic predisposition with lifestyle factors on bladder cancer risk

M. Zeegers, S. Mehrkanoon, Ya-ting Chen, 2022, BJU international.

Non-parallel support vector classifiers with different loss functions

Johan A. K. Suykens, Xiaolin Huang, Siamak Mehrkanoon, 2014, Neurocomputing.

SVD truncation schemes for fixed-size kernel models

Johan A. K. Suykens, Johan Schoukens, Anna Marconato, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

LS-SVM approximate solution to linear time varying descriptor systems

Johan A. K. Suykens, Siamak Mehrkanoon, J. Suykens, 2012, Autom..

SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture pdf

Siamak Mehrkanoon, Kevin Trebing, S. Mehrkanoon, 2020, Pattern Recognit. Lett..

AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks

S. Mehrkanoon, Yimin Yang, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Deep Shared Representation Learning for Weather Elements Forecasting

Siamak Mehrkanoon, S. Mehrkanoon, 2019, BNAIC/BENELEARN.

Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines

Johan A. K. Suykens, Tillmann Falck, Siamak Mehrkanoon, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Deep neural-kernel blocks

Siamak Mehrkanoon, S. Mehrkanoon, 2019, Neural Networks.

TENT: Tensorized Encoder Transformer for Temperature Forecasting

S. Mehrkanoon, Onur Bilgin, Thomas Vergutz, 2021, ArXiv.

MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets

P. Lambin, S. Mehrkanoon, H. Woodruff, 2023, Neural Networks.

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses

Johan A. K. Suykens, Xiaolin Huang, Yunlong Feng, 2016, Neural Computation.

Parameter estimation of delay differential equations: An integration-free LS-SVM approach

Johan A. K. Suykens, Siamak Mehrkanoon, Saeid Mehrkanoon, 2014, Commun. Nonlinear Sci. Numer. Simul..

Learning from partially labeled data

J. Suykens, Xiaolin Huang, S. Mehrkanoon, 2020, ESANN.

Deep coastal sea elements forecasting using U-Net based models

Ismail Alaoui Abdellaoui, S. Mehrkanoon, J. Fern'andez, 2020, Knowl. Based Syst..

WF-UNet: Weather Fusion UNet for Precipitation Nowcasting

S. Mehrkanoon, Christos Kaparakis, 2023, ArXiv.

Broad-UNet: Multi-scale feature learning for nowcasting tasks

Siamak Mehrkanoon, Jesús García Fernández, Jesus Garcia Fernandez, 2021, Neural Networks.

Multistream Graph Attention Networks for Wind Speed Forecasting

Siamak Mehrkanoon, Dogan Aykas, S. Mehrkanoon, 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks

S. Mehrkanoon, Mathieu Renault, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Wind speed prediction using multidimensional convolutional neural networks

Siamak Mehrkanoon, Kevin Trebing, S. Mehrkanoon, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Estimating the unknown time delay in chemical processes

Johan A. K. Suykens, Steven X. Ding, Siamak Mehrkanoon, 2016, Eng. Appl. Artif. Intell..

Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks

Ismail Alaoui Abdellaoui, S. Mehrkanoon, 2020, ArXiv.

Support vector machines with piecewise linear feature mapping

Johan A. K. Suykens, Xiaolin Huang, Siamak Mehrkanoon, 2013, Neurocomputing.

A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning

Xiaolin Huang, Fan He, Jie Yang, 2020, ESANN.

Genome-wide exploration of genetic interactions for bladder cancer risk.

M. Zeegers, S. Mehrkanoon, A. Wesselius, 2023, International journal of cancer.

Deep Neural-Kernel Machines pdf

Siamak Mehrkanoon, S. Mehrkanoon, 2020, ArXiv.

Goal-driven, neurobiological-inspired convolutional neural network models of human spatial hearing

Siamak Mehrkanoon, Kiki van der Heijden, Kiki van der Heijden, 2021, Neurocomputing.

Shallow and Deep Models for Domain Adaptation problems

Matthew B. Blaschko, Johan Suykens, Siamak Mehrkanoon, 2018, ESANN.

LSSVM based initialization approach for parameter estimation of dynamical systems

Johan A. K. Suykens, Moritz Diehl, Siamak Mehrkanoon, 2014 .

Black-box modeling for temperature prediction in weather forecasting

Johan A. K. Suykens, Siamak Mehrkanoon, Zahra Karevan, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture

Siamak Mehrkanoon, Kevin Trebing, S. Mehrkanoon, 2020, Pattern Recognit. Lett..

GD-CAF: Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting

S. Mehrkanoon, Lorand Vatamany, 2024, 2401.07958.

WF-UNet: Weather Data Fusion using 3D-UNet for Precipitation Nowcasting

S. Mehrkanoon, Christos Kaparakis, 2023, INNS DLIA@IJCNN.

TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start

S. Mehrkanoon, A. Siebes, Jie Shi, 2023, ArXiv.

Cross-Domain Neural-Kernel Networks

Siamak Mehrkanoon, S. Mehrkanoon, 2019, BNAIC/BENELEARN.

Enhancing brain decoding using attention augmented deep neural networks

Siamak Mehrkanoon, Ismail Alaoui Abdellaoui, Caner Sahinli, 2021, ESANN.

Modelling human sound localization with deep neural networks

Kiki van der Heijden, S. Mehrkanoon, 2020, ESANN.

Deep Neural-Kernel Machines

S. Mehrkanoon, 2020, ArXiv.