S. Van Huffel
Artificial Intelligence · 2000–2018
A researcher in the Science corpus: 20 papers; trusts 53 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it; #19,050 of 35,345 by trust here, #20,836 by citations
- Signal Processing — 40 citations into it; #3,704 of 7,572 by trust here, #2,990 by citations
- Computational Mathematics — 34 citations into it; #209 of 612 by trust here, #180 by citations
- Statistics and Probability — 33 citations into it; #6,269 of 12,932 by trust here, #8,279 by citations
- Computational Theory and Mathematics — 27 citations into it; #11,395 of 12,182 by trust here, #4,199 by citations
- Computer Vision and Pattern Recognition — 27 citations into it; #14,868 of 21,575 by trust here, #15,162 by citations
- Computational Mechanics — 26 citations into it; #7,563 of 10,001 by trust here, #4,600 by citations
- Control and Systems Engineering — 20 citations into it; #5,260 of 8,257 by trust here, #4,045 by citations
Whom S. Van Huffel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Lieven De Lathauwer
- Robert Tibshirani
- Alexander Kukush
- Olivier Chapelle
- Trond Steihaug
- J. Ross Quinlan
- Jaka Demsar
- David D. Lewis
- Gitta Kutyniok
Who trusts S. Van Huffel overall
- Ivan Markovsky
- Berk Ustun
- Cynthia Rudin
- Peiliang Xu
- Lieven Billiet
- Berkant Savas
- Alexander Kukush
- O. Curtef
- Burkhard Schaffrin
- Mariya Ishteva
Papers from S. Van Huffel's perspective
Ordered by how strongly the researchers S. Van Huffel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- The Elements of Statistical Learning
- Gradient-based learning applied to document recognition
- Support-Vector Networks
- Neural Networks for Pattern Recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Pattern Recognition and Machine Learning
- Regression Shrinkage and Selection via the Lasso
- The Nature of Statistical Learning Theory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme (2011) — 137 citations
- Differential-geometric Newton method for the best rank-(R1, R2, R3) approximation of tensors (2008) — 66 citations
- Interval Coded Scoring Index with Interaction Effects - A Sensitivity Study (2016) — 4 citations
- Risk group detection and survival function estimation for interval coded survival methods (2013) — 5 citations
- Consistency of elementwise-weighted total least squares estimator in a multivariate errors-in-variables model AX=B (2004) — 73 citations
- A tutorial on support vector machine-based methods for classification problems in chemometrics. (2010) — 315 citations
- Interval Coded Scoring: a toolbox for interpretable scoring systems (2018) — 16 citations
- Interval Coded Scoring extensions for larger problems (2017) — 6 citations
- A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG (2015) — 314 citations
- A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology (2012) — 39 citations
- Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis (2010) — 379 citations
- On the best low multilinear rank approximation of higher-order tensors (2010) — 35 citations
- Overview of total least-squares methods (2007) — 879 citations
- Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy (2007) — 11 citations
- Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram (2006) — 521 citations
- Consistency of the structured total least squares estimator in a multivariate errors-in-variables model (2005) — 60 citations
- On the equivalence between total least squares and maximum likelihood PCA (2005) — 57 citations
- Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines (2003) — 319 citations
- Total Least Squares and Errors-in-Variables Modeling : Analysis, Algorithms and Applications (2002) — 121 citations
- Bayesian networks in ovarian cancer diagnosis: potentials and limitations (2000) — 34 citations