Suykens, J.A.K.
* 2010: Coupled Simulated Annealing
* 2010: Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
* 2011: Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data
* 2012: Optimized Data Fusion for Kernel k-Means Clustering
* 2014: Multi-Class Supervised Novelty Detection
* 2014: Support Vector Machine Classifier With Pinball Loss
* 2015: Identifying intervals for hierarchical clustering using the Gershgorin circle theorem
* 2015: Rank-One Tensor Updating Algorithm for Tensor Completion, A
* 2016: Efficient evolutionary spectral clustering
* 2016: Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso
* 2018: Indefinite kernel spectral learning
* 2021: Boosting Co-teaching with Compression Regularization for Label Noise
* 2022: Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
* 2022: Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network
* 2022: Towards a Unified Quadrature Framework for Large-Scale Kernel Machines
* 2023: Jigsaw-ViT: Learning jigsaw puzzles in vision transformer
* 2023: Learning With Asymmetric Kernels: Least Squares and Feature Interpretation
* 2023: Unbalanced Optimal Transport: A Unified Framework for Object Detection
Includes: Suykens, J.A.K. Suykens, J.A.K.[Johan A.K.] Suykens, J.A.K.[Johan A. K.]
18 for Suykens, J.A.K.
Suyker, A.[Andrew]
* 2020: Modeling Gross Primary Production of Midwestern US Maize and Soybean Croplands with Satellite and Gridded Weather Data
* 2021: Towards Routine Mapping of Crop Emergence within the Season Using the Harmonized Landsat and Sentinel-2 Dataset
Includes: Suyker, A.[Andrew] Suyker, A.[Andy]
Suyker, A.E.[Andrew E.]
* 2013: Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US, A
* 2015: Estimation and analysis of gross primary production of soybean under various management practices and drought conditions
* 2022: Evaluating Optical Remote Sensing Methods for Estimating Leaf Area Index for Corn and Soybean