Siamak Mehrkanoon

Stephan Bialonski

CoRR, 2024

GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting.

[BibT_eX]

[DOI]

Eloy Reulen

CoRR, 2024

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

[BibT_eX]

[DOI]

Lorand Vatamany

Thiemo J. A. van Nijnatten

CoRR, 2024

2023

MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets.

[BibT_eX]

[DOI]

Sheng Kuang

Henry C. Woodruff

Renee Granzier

Neural Networks, August, 2023

A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification.

[BibT_eX]

[DOI]

Sergio Kazatzidis

CoRR, 2023

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

[BibT_eX]

[DOI]

Jie Shi

Arno P. J. M. Siebes

CoRR, 2023

WF-UNet: Weather Fusion UNet for Precipitation Nowcasting.

[BibT_eX]

[DOI]

Christos Kaparakis

CoRR, 2023

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

[BibT_eX]

[DOI]

Christos Kaparakis

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

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

[BibT_eX]

[DOI]

Mathieu Renault

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Deep coastal sea elements forecasting using UNet-based models.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

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

[BibT_eX]

[DOI]

Kiki van der Heijden

Neurocomputing, 2022

GCN-FFNN: A two-stream deep model for learning solution to partial differential equations.

[BibT_eX]

[DOI]

Onur Bilgin

Thomas Vergutz

Neurocomputing, 2022

BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization.

[BibT_eX]

[DOI]

Sheng Kuang

Kiki van der Heijden

CoRR, 2022

AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks.

[BibT_eX]

[DOI]

Yimin Yang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture.

[BibT_eX]

[DOI]

Kevin Trebing

Tomasz Stanczyk

Pattern Recognit. Lett., 2021

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

[BibT_eX]

[DOI]

Neural Networks, 2021

TENT: Tensorized Encoder Transformer for Temperature Forecasting.

[BibT_eX]

[DOI]

CoRR, 2021

Towards biologically plausible learning in neural networks.

[BibT_eX]

[DOI]

Enrique Hortal

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multistream Graph Attention Networks for Wind Speed Forecasting.

[BibT_eX]

[DOI]

Dogan Aykas

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Symbolic regression for scientific discovery: an application to wind speed forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Exploring automatic liver tumor segmentation using deep learning.

[BibT_eX]

[DOI]

Valerio Fortunati

Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Graph Convolutional Networks for Wind Speed Prediction.

[BibT_eX]

[DOI]

Tomasz Stanczyk

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Enhancing brain decoding using attention augmented deep neural networks.

[BibT_eX]

[DOI]

Caner Sahinli

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Deep coastal sea elements forecasting using U-Net based models.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Deep Neural-Kernel Machines.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Kevin Trebing

CoRR, 2020

Deep brain state classification of MEG data.

[BibT_eX]

[DOI]

Caner Sahinli

CoRR, 2020

Wind speed prediction using multidimensional convolutional neural networks.

[BibT_eX]

[DOI]

Kevin Trebing

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Learning from partially labeled data.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Modelling human sound localization with deep neural networks.

[BibT_eX]

[DOI]

Kiki van der Heijden

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Cross-domain neural-kernel networks.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Deep neural-kernel blocks.

[BibT_eX]

[DOI]

Neural Networks, 2019

Deep shared representation learning for weather elements forecasting.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

2018

Regularized Semipaired Kernel CCA for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Indefinite kernel spectral learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Deep hybrid neural-kernel networks using random Fourier features.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Shallow and Deep Models for Domain Adaptation problems.

[BibT_eX]

[DOI]

Matthew B. Blaschko

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Scalable Hybrid Deep Neural Kernel Networks.

[BibT_eX]

[DOI]

Andreas Zell

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses.

[BibT_eX]

[DOI]

Neural Comput., 2016

Estimating the unknown time delay in chemical processes.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2016

Scalable Semi-supervised kernel spectral learning using random Fourier features.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Incorporation of Prior Knowledge into Kernel Based Models ; Incorporatie van voorkennis in kernel-gebaseerde modellen.

[BibT_eX]

[DOI]

PhD thesis, 2015

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Identifying intervals for hierarchical clustering using the Gershgorin circle theorem.

[BibT_eX]

[DOI]

Raghvendra Mall

Pattern Recognit. Lett., 2015

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

[BibT_eX]

[DOI]

Oscar Mauricio Agudelo

Neural Networks, 2015

Learning solutions to partial differential equations using LS-SVM.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Higher order Matching Pursuit for Low Rank Tensor Learning.

[BibT_eX]

[DOI]

Yuning Yang

CoRR, 2015

Hierarchical semi-supervised clustering using KSC based model.

[BibT_eX]

[DOI]

Oscar Mauricio Agudelo

Raghvendra Mall

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Black-box modeling for temperature prediction in weather forecasting.

[BibT_eX]

[DOI]

Zahra Karevan

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Non-parallel support vector classifiers with different loss functions.

[BibT_eX]

[DOI]

Neurocomputing, 2014

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

[BibT_eX]

[DOI]

Saeid Mehrkanoon

Commun. Nonlinear Sci. Numer. Simul., 2014

Large scale semi-supervised learning using KSC based model.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Optimal reduced sets for sparse kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

SVD truncation schemes for fixed-size kernel models.

[BibT_eX]

[DOI]

Ricardo Castro-Garcia

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Support vector machines with piecewise linear feature mapping.

[BibT_eX]

[DOI]

Neurocomputing, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

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

[BibT_eX]

[DOI]

Tillmann Falck

IEEE Trans. Neural Networks Learn. Syst., 2012

LS-SVM approximate solution to linear time varying descriptor systems.

[BibT_eX]

[DOI]

Autom., 2012

2011

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

[BibT_eX]

[DOI]

Numer. Algorithms, 2011

Symbolic computing of LS-SVM based models.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

A variable step implicit block multistep method for solving first-order ODEs.

[BibT_eX]

[DOI]