Johan A. K. Suykens

Artificial Intelligence · 1995–2021

A researcher in the Science corpus: 24 papers; trusts 45 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 77 citations into it; #8,673 of 35,345 by trust here, #7,241 by citations
Model Architectures — 42 citations into it
Statistical Learning Theory — 31 citations into it
Computer Vision and Pattern Recognition — 26 citations into it; #7,028 of 21,575 by trust here, #3,598 by citations
Statistics and Probability — 26 citations into it; #9,974 of 12,932 by trust here, #5,661 by citations
Scaling & Learning Theory — 21 citations into it
Control and Systems Engineering — 18 citations into it; #1,164 of 8,257 by trust here, #418 by citations
Probabilistic & Bayesian Methods — 16 citations into it; #1,321 of 1,525 by trust here, #1,460 by citations

Whom Johan A. K. Suykens trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Johan A. K. Suykens overall

Papers from Johan A. K. Suykens's perspective

Ordered by how strongly the researchers Johan A. K. Suykens trusts endorse each paper. Same corpus, a different order for every researcher.

ImageNet classification with deep convolutional neural networks
Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Gradient-based learning applied to document recognition
Long Short-Term Memory
ImageNet: A large-scale hierarchical image database
Learning Multiple Layers of Features from Tiny Images
Attention is All you Need (Neural Information Processing Systems)
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Going deeper with convolutions

Their papers

Weighted least squares support vector machines: robustness and sparse approximation (2002) — 1,289 citations
Recurrent least squares support vector machines (2000) — 366 citations
Automatic relevance determination for least squares support vector machine regression (2001) — 40 citations
Financial time series prediction using least squares support vector machines within the evidence framework (2001) — 536 citations
Risk group detection and survival function estimation for interval coded survival methods (2013) — 5 citations
Coupled Simulated Annealing (2010) — 307 citations
Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis (2002) — 311 citations
A tutorial on support vector machine-based methods for classification problems in chemometrics. (2010) — 315 citations
IEEE Transactions on Circuits and Systems II: Express Briefs (2004) — 189 citations
Gossip Algorithms for Computing U-statistics (2009) — 11 citations
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine (2021) — 14 citations
Transductive LSTM for time-series prediction: An application to weather forecasting (2020) — 545 citations
A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology (2012) — 39 citations
Benchmarking Least Squares Support Vector Machine Classifiers (2004) — 535 citations
Least Squares Support Vector Machines for Kernel CCA in Nonlinear State-Space Identification (2004) — 21 citations
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines (2003) — 319 citations
Benchmarking state-of-the-art classification algorithms for credit scoring (2003) — 416 citations
Least Squares Support Vector Machines (2002) — 1,828 citations
Optimal control by least squares support vector machines (2001) — 539 citations
Sparse approximation using least squares support vector machines (2000) — 336 citations