Siamak Mehrkanoon

93 papers B 21Journal 63Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessment of automated stratigraphic interpretations of boreholes with geology-informed metrics. Comput. Geosci. Sebastián Garzón, Willem Dabekaussen, Freek S. Busschers, Eva De Boever, Siamak Mehrkanoon, Derek Karssenberg
2026	J	`jnl`	MAD-SmaAt-GNet: A Multimodal Advection-Guided Neural Network for Precipitation Nowcasting. CoRR Samuel van Wonderen, Siamak Mehrkanoon
2026	J	`jnl`	SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcasting. CoRR Nikolas Stavrou, Siamak Mehrkanoon
2025	J	`jnl`	AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts. CoRR Niklas Grieger, Jannik Raskob, Siamak Mehrkanoon, Stephan Bialonski
2025	J	`jnl`	BAST-Mamba: Binaural Audio Spectrogram Mamba Transformer for binaural sound localization. Neurocomputing Sheng Kuang, Jie Shi, Kiki van der Heijden, Siamak Mehrkanoon
2025	J	`jnl`	Data-Efficient Sleep Staging with Synthetic Time Series Pretraining. Algorithms Niklas Grieger, Siamak Mehrkanoon, Stephan Bialonski
2025	J	`jnl`	From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis. CoRR Niklas Grieger, Siamak Mehrkanoon, Philipp Ritter, Stephan Bialonski
2025	J	`jnl`	Graph Dual-stream Convolutional Attention Fusion for precipitation nowcasting. Eng. Appl. Artif. Intell. Lorand Vatamany, Siamak Mehrkanoon
2025	J	`jnl`	Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet. CoRR Aleksej Cornelissen, Jie Shi, Siamak Mehrkanoon
2025	B	`conf`	SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling. IJCNN Marco Turzi, Siamak Mehrkanoon
2025	J	`jnl`	SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling. CoRR Marco Turzi, Siamak Mehrkanoon
2025	J	`jnl`	Trans-XFed: An Explainable Federated Learning for Supply Chain Credit Assessment. CoRR Jie Shi, Arno P. J. M. Siebes, Siamak Mehrkanoon
2025	J	`jnl`	TransCORALNet: A two-stream transformer CORAL networks for supply chain credit assessment cold start. Expert Syst. Appl. Jie Shi, Arno P. J. M. Siebes, Siamak Mehrkanoon
2024	B	`conf`	A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification. IJCNN Sergio Kazatzidis, Siamak Mehrkanoon
2024	J	`jnl`	Data-Efficient Sleep Staging with Synthetic Time Series Pretraining. CoRR Niklas Grieger, Siamak Mehrkanoon, Stephan Bialonski
2024	B	`conf`	Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding. ESANN Lucas Goené, Siamak Mehrkanoon
2024	J	`jnl`	Dual Stream Graph Transformer Fusion Networks for Enhanced Brain Decoding. CoRR Lucas Goené, Siamak Mehrkanoon
2024	J	`jnl`	GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting. CoRR Eloy Reulen, Siamak Mehrkanoon
2024	J	`jnl`	GA-SmaAt-GNet: Generative adversarial small attention GNet for extreme precipitation nowcasting. Knowl. Based Syst. Eloy Reulen, Jie Shi, Siamak Mehrkanoon
2024	J	`jnl`	GD-CAF: Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting. CoRR Lorand Vatamany, Siamak Mehrkanoon
2024	J	`jnl`	Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting. CoRR Haotian Li, Arno Siebes, Siamak Mehrkanoon
2023	J	`jnl`	A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification. CoRR Sergio Kazatzidis, Siamak Mehrkanoon
2023	J	`jnl`	MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets. CoRR Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J. A. van Nijnatten, Marc B. I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon
2023	J	`jnl`	MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets. Neural Networks Sheng Kuang, Henry C. Woodruff, Renee Granzier, Thiemo J. A. van Nijnatten, Marc B. I. Lobbes, Marjolein L. Smidt, Philippe Lambin, Siamak Mehrkanoon
2023	B	`conf`	SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks. IJCNN Mathieu Renault, Siamak Mehrkanoon
2023	J	`jnl`	SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks. CoRR Mathieu Renault, Siamak Mehrkanoon
2023	J	`jnl`	TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start. CoRR Jie Shi, Arno P. J. M. Siebes, Siamak Mehrkanoon
2023	—	`conf`	WF-UNet: Weather Data Fusion using 3D-UNet for Precipitation Nowcasting. INNS DLIA@IJCNN Christos Kaparakis, Siamak Mehrkanoon
2023	J	`jnl`	WF-UNet: Weather Fusion UNet for Precipitation Nowcasting. CoRR Christos Kaparakis, Siamak Mehrkanoon
2022	B	`conf`	AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks. IJCNN Yimin Yang, Siamak Mehrkanoon
2022	J	`jnl`	AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks. CoRR Yimin Yang, Siamak Mehrkanoon
2022	J	`jnl`	BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization. CoRR Sheng Kuang, Kiki van der Heijden, Siamak Mehrkanoon
2022	J	`jnl`	Deep coastal sea elements forecasting using UNet-based models. Knowl. Based Syst. Jesús García Fernández, Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
2022	J	`jnl`	GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations. CoRR Onur Bilgin, Thomas Vergutz, Siamak Mehrkanoon
2022	J	`jnl`	GCN-FFNN: A two-stream deep model for learning solution to partial differential equations. Neurocomputing Onur Bilgin, Thomas Vergutz, Siamak Mehrkanoon
2022	J	`jnl`	Goal-driven, neurobiological-inspired convolutional neural network models of human spatial hearing. Neurocomputing Kiki van der Heijden, Siamak Mehrkanoon
2021	J	`jnl`	Broad-UNet: Multi-scale feature learning for nowcasting tasks. CoRR Jesús García Fernández, Siamak Mehrkanoon
2021	J	`jnl`	Broad-UNet: Multi-scale feature learning for nowcasting tasks. Neural Networks Jesús García Fernández, Siamak Mehrkanoon
2021	B	`conf`	Deep Graph Convolutional Networks for Wind Speed Prediction. ESANN Tomasz Stanczyk, Siamak Mehrkanoon
2021	J	`jnl`	Deep Graph Convolutional Networks for Wind Speed Prediction. CoRR Tomasz Stanczyk, Siamak Mehrkanoon
2021	B	`conf`	Enhancing brain decoding using attention augmented deep neural networks. ESANN Ismail Alaoui Abdellaoui, Jesús García Fernández, Caner Sahinli, Siamak Mehrkanoon
2021	B	`conf`	Exploring automatic liver tumor segmentation using deep learning. IJCNN Jesús García Fernández, Valerio Fortunati, Siamak Mehrkanoon
2021	—	`conf`	Multistream Graph Attention Networks for Wind Speed Forecasting. SSCI Dogan Aykas, Siamak Mehrkanoon
2021	J	`jnl`	Multistream Graph Attention Networks for Wind Speed Forecasting. CoRR Dogan Aykas, Siamak Mehrkanoon
2021	J	`jnl`	SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture. Pattern Recognit. Lett. Kevin Trebing, Tomasz Stanczyk, Siamak Mehrkanoon
2021	—	`conf`	Symbolic regression for scientific discovery: an application to wind speed forecasting. SSCI Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
2021	J	`jnl`	Symbolic regression for scientific discovery: an application to wind speed forecasting. CoRR Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
2021	J	`jnl`	TENT: Tensorized Encoder Transformer for Temperature Forecasting. CoRR Onur Bilgin, Pawel Maka, Thomas Vergutz, Siamak Mehrkanoon
2021	—	`conf`	Towards biologically plausible learning in neural networks. SSCI Jesús García Fernández, Enrique Hortal, Siamak Mehrkanoon
2020	B	`conf`	A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning. ESANN Fan He, Sanli Tang, Siamak Mehrkanoon, Xiaolin Huang, Jie Yang
2020	J	`jnl`	Deep Neural-Kernel Machines. CoRR Siamak Mehrkanoon
2020	J	`jnl`	Deep brain state classification of MEG data. CoRR Ismail Alaoui Abdellaoui, Jesús García Fernández, Caner Sahinli, Siamak Mehrkanoon
2020	J	`jnl`	Deep coastal sea elements forecasting using U-Net based models. CoRR Jesús García Fernández, Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
2020	J	`jnl`	Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks. CoRR Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
2020	B	`conf`	Learning from partially labeled data. ESANN Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens
2020	B	`conf`	Modelling human sound localization with deep neural networks. ESANN Kiki van der Heijden, Siamak Mehrkanoon
2020	J	`jnl`	SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture. CoRR Kevin Trebing, Siamak Mehrkanoon
2020	—	`conf`	Wind speed prediction using multidimensional convolutional neural networks. SSCI Kevin Trebing, Siamak Mehrkanoon
2020	J	`jnl`	Wind speed prediction using multidimensional convolutional neural networks. CoRR Kevin Trebing, Siamak Mehrkanoon
2019	—	`conf`	Cross-Domain Neural-Kernel Networks. BNAIC/BENELEARN Siamak Mehrkanoon
2019	J	`jnl`	Cross-domain neural-kernel networks. Pattern Recognit. Lett. Siamak Mehrkanoon
2019	—	`conf`	Deep Shared Representation Learning for Weather Elements Forecasting. BNAIC/BENELEARN Siamak Mehrkanoon
2019	J	`jnl`	Deep neural-kernel blocks. Neural Networks Siamak Mehrkanoon
2019	J	`jnl`	Deep shared representation learning for weather elements forecasting. Knowl. Based Syst. Siamak Mehrkanoon
2018	J	`jnl`	Deep hybrid neural-kernel networks using random Fourier features. Neurocomputing Siamak Mehrkanoon, Johan A. K. Suykens
2018	J	`jnl`	Indefinite kernel spectral learning. Pattern Recognit. Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens
2018	J	`jnl`	Regularized Semipaired Kernel CCA for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Siamak Mehrkanoon, Johan A. K. Suykens
2018	B	`conf`	Shallow and Deep Models for Domain Adaptation problems. ESANN Siamak Mehrkanoon, Matthew B. Blaschko, Johan A. K. Suykens
2017	B	`conf`	Scalable Hybrid Deep Neural Kernel Networks. ESANN Siamak Mehrkanoon, Andreas Zell, Johan A. K. Suykens
2016	J	`jnl`	Estimating the unknown time delay in chemical processes. Eng. Appl. Artif. Intell. Siamak Mehrkanoon, Yuri A. W. Shardt, Johan A. K. Suykens, Steven X. Ding
2016	B	`conf`	Multi-label semi-supervised learning using regularized kernel spectral clustering. IJCNN Siamak Mehrkanoon, Johan A. K. Suykens
2016	J	`jnl`	Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses. Neural Comput. Yunlong Feng, Yuning Yang, Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens
2016	—	`conf`	Scalable Semi-supervised kernel spectral learning using random Fourier features. SSCI Siamak Mehrkanoon, Johan A. K. Suykens
2015	B	`conf`	Black-box modeling for temperature prediction in weather forecasting. IJCNN Zahra Karevan, Siamak Mehrkanoon, Johan A. K. Suykens
2015	B	`conf`	Hierarchical semi-supervised clustering using KSC based model. IJCNN Siamak Mehrkanoon, Oscar Mauricio Agudelo, Raghvendra Mall, Johan A. K. Suykens
2015	J	`jnl`	Higher order Matching Pursuit for Low Rank Tensor Learning. CoRR Yuning Yang, Siamak Mehrkanoon, Johan A. K. Suykens
2015	J	`jnl`	Identifying intervals for hierarchical clustering using the Gershgorin circle theorem. Pattern Recognit. Lett. Raghvendra Mall, Siamak Mehrkanoon, Johan A. K. Suykens
2015	—	`—`	Incorporation of Prior Knowledge into Kernel Based Models ; Incorporatie van voorkennis in kernel-gebaseerde modellen. Siamak Mehrkanoon
2015	J	`jnl`	Incremental multi-class semi-supervised clustering regularized by Kalman filtering. Neural Networks Siamak Mehrkanoon, Oscar Mauricio Agudelo, Johan A. K. Suykens
2015	J	`jnl`	Learning solutions to partial differential equations using LS-SVM. Neurocomputing Siamak Mehrkanoon, Johan A. K. Suykens
2015	J	`jnl`	Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. Siamak Mehrkanoon, Carlos Alzate, Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
2014	B	`conf`	Large scale semi-supervised learning using KSC based model. IJCNN Siamak Mehrkanoon, Johan A. K. Suykens
2014	J	`jnl`	Non-parallel support vector classifiers with different loss functions. Neurocomputing Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens
2014	B	`conf`	Optimal reduced sets for sparse kernel spectral clustering. IJCNN Raghvendra Mall, Siamak Mehrkanoon, Rocco Langone, Johan A. K. Suykens
2014	J	`jnl`	Parameter estimation of delay differential equations: An integration-free LS-SVM approach. Commun. Nonlinear Sci. Numer. Simul. Siamak Mehrkanoon, Saeid Mehrkanoon, Johan A. K. Suykens
2014	B	`conf`	SVD truncation schemes for fixed-size kernel models. IJCNN Ricardo Castro-Garcia, Siamak Mehrkanoon, Anna Marconato, Johan Schoukens, Johan A. K. Suykens
2013	B	`conf`	Non-parallel semi-supervised classification based on kernel spectral clustering. IJCNN Siamak Mehrkanoon, Johan A. K. Suykens
2013	J	`jnl`	Support vector machines with piecewise linear feature mapping. Neurocomputing Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens
2012	J	`jnl`	Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. Siamak Mehrkanoon, Tillmann Falck, Johan A. K. Suykens
2012	J	`jnl`	LS-SVM approximate solution to linear time varying descriptor systems. Autom. Siamak Mehrkanoon, Johan A. K. Suykens
2011	J	`jnl`	A direct variable step block multistep method for solving general third-order ODEs. Numer. Algorithms Siamak Mehrkanoon
2011	B	`conf`	Symbolic computing of LS-SVM based models. ESANN Siamak Mehrkanoon, Li Jiang, Carlos Alzate, Johan A. K. Suykens
2010	J	`jnl`	A variable step implicit block multistep method for solving first-order ODEs. J. Comput. Appl. Math. Siamak Mehrkanoon, Zanariah Abdul Majid, Mohamed Suleiman