Robust Cross-Validation Score Function for Non-linear Function Estimation. - Jos De Brabanter; Kristiaan Pelckmans; Johan A. K. Suykens; Joos Vandewalle (ICANN, 2002)

Variogram based noise variance estimation and its use in kernel based regression. - Kristiaan Pelckmans; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (NNSP, 2003)

Sparse LS-SVMs using additive regularization with a penalized validation criterion. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (ESANN, 2004)

Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (ICONIP, 2004)

Regularization constants in LS-SVMs: a fast estimate via convex optimization. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (IJCNN, 2004)

Subspace intersection identification of Hammerstein-Wiener systems. - Ivan Goethals; Kristiaan Pelckmans; Luc Hoegaerts; Johan A. K. Suykens; Bart De Moor (CDC/ECC, 2005)

On Model Complexity Control in Identification of Hammerstein Systems. - Kristiaan Pelckmans; Johan A. K. Suykens; Ivan Goethals; Bart De Moor (CDC/ECC, 2005)

Componentwise Support Vector Machines for Structure Detection. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (ICANN (2), 2005)

Maximal variation and missing values for componentwise support vector machines. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor; Jos De Brabanter (IJCNN, 2005)

Identification of MIMO Hammerstein models using least squares support vector machines. - Ivan Goethals; Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (Autom., 2005)

Componentwise Least Squares Support Vector Machines - Kristiaan Pelckmans; Ivan Goethals; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (CoRR, 2005)

The differogram: Non-parametric noise variance estimation and its use for model selection. - Kristiaan Pelckmans; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (Neurocomputing, 2005)

Building sparse representations and structure determination on LS-SVM substrates. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (Neurocomputing, 2005)

Handling missing values in support vector machine classifiers. - Kristiaan Pelckmans; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (Neural Networks, 2005)

Primal-Dual Monotone Kernel Regression. - Kristiaan Pelckmans; Marcelo Espinoza; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (Neural Process. Lett., 2005)

Subspace identification of Hammerstein systems using least squares support vector machines. - Ivan Goethals; Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (IEEE Trans. Autom. Control., 2005)

Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (Mach. Learn., 2006)

Convex optimization for the design of learning machines. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (ESANN, 2007)

Multi-class kernel logistic regression: a fixed-size implementation. - Peter Karsmakers; Kristiaan Pelckmans; Johan A. K. Suykens (IJCNN, 2007)

Fixed-size kernel logistic regression for phoneme classification. - Peter Karsmakers; Kristiaan Pelckmans; Johan A. K. Suykens; Hugo Van hamme (INTERSPEECH, 2007)

Transductive Rademacher Complexities for Learning Over a Graph. - Kristiaan Pelckmans; Johan A. K. Suykens (MLG, 2007)

A Risk Minimization Principle for a Class of Parzen Estimators. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (NIPS, 2007)

Support and Quantile Tubes - Kristiaan Pelckmans; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (CoRR, 2007)

Margin based Transductive Graph Cuts using Linear Programming. - Kristiaan Pelckmans; John Shawe-Taylor; Johan A. K. Suykens; Bart De Moor (AISTATS, 2007)

A Convex Approach to Validation-Based Learning of the Regularization Constant. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor (IEEE Trans. Neural Networks, 2007)

Survival SVM: a practical scalable algorithm. - Vanya Van Belle; Kristiaan Pelckmans; Johan A. K. Suykens; Sabine Van Huffel (ESANN, 2008)

Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation. - Marco Signoretto; Kristiaan Pelckmans; Johan A. K. Suykens (ICANN (1), 2008)

An Online Algorithm for Learning a Labeling of a Graph. - Kristiaan Pelckmans; Johan A. K. Suykens (MLG@ICML, 2008)

Transductively Learning from Positive Examples Only. - Kristiaan Pelckmans; Johan A. K. Suykens (ESANN, 2009)

MINLIP: Efficient Learning of Transformation Models. - Vanya Van Belle; Kristiaan Pelckmans; Johan A. K. Suykens; Sabine Van Huffel (ICANN (1), 2009)

Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. - Kris De Brabanter; Kristiaan Pelckmans; Jos De Brabanter; Michiel Debruyne; Johan A. K. Suykens; Mia Hubert; Bart De Moor (ICANN (1), 2009)

Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints. - Vanya Van Belle; Kristiaan Pelckmans; Johan A. K. Suykens; Sabine Van Huffel (IWANN (1), 2009)

Least conservative support and tolerance tubes. - Kristiaan Pelckmans; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (IEEE Trans. Inf. Theory, 2009)

On the identification of monotone Wiener systems. - Kristiaan Pelckmans (CDC, 2010)

Improved non-parametric sparse recovery with data matched penalties. - Marco Signoretto; Kristiaan Pelckmans; Lieven De Lathauwer; Johan A. K. Suykens (CIP, 2010)

On the use of a clinical kernel in survival analysis. - Vanya Van Belle; Kristiaan Pelckmans; Johan A. K. Suykens; Sabine Van Huffel (ESANN, 2010)

Efficient adaptive filtering for smooth linear FIR models. - Kristiaan Pelckmans; Toon van Waterschoot; Johan A. K. Suykens (EUSIPCO, 2010)

Linear Systems, Sparse Solutions, and Sudoku. - Prabhu Babu; Kristiaan Pelckmans; Petre Stoica; Jian Li 001 (IEEE Signal Process. Lett., 2010)

An Adaptive Compression Algorithm in a Deterministic World. - Kristiaan Pelckmans (Algorithmic Probability and Friends, 2011)

A simple recursive algorithm for learning a Monotone Wiener system. - Kristiaan Pelckmans; Liang Dai 002 (CDC/ECC, 2011)

Support vector methods for survival analysis: a comparison between ranking and regression approaches. - Vanya Van Belle; Kristiaan Pelckmans; Sabine Van Huffel; Johan A. K. Suykens (Artif. Intell. Medicine, 2011)

MINLIP for the identification of monotone Wiener systems. - Kristiaan Pelckmans (Autom., 2011)

Improved performance on high-dimensional survival data by application of Survival-SVM. - Vanya Van Belle; Kristiaan Pelckmans; Sabine Van Huffel; Johan A. K. Suykens (Bioinform., 2011)

Learning Transformation Models for Ranking and Survival Analysis. - Vanya Van Belle; Kristiaan Pelckmans; Johan A. K. Suykens; Sabine Van Huffel (J. Mach. Learn. Res., 2011)

Sparse conjugate directions pursuit with application to fixed-size kernel models. - Peter Karsmakers; Kristiaan Pelckmans; Kris De Brabanter; Hugo Van hamme; Johan A. K. Suykens (Mach. Learn., 2011)

An ellipsoid based, two-stage screening test for BPDN. - Liang Dai 002; Kristiaan Pelckmans (EUSIPCO, 2012)

On the Nuclear Norm heuristic for a Hankel matrix Recovery Problem - Liang Dai 002; Kristiaan Pelckmans (CoRR, 2012)

Randomized Gossip Algorithms for Achieving Consensus on the Majority Vote. - Kristiaan Pelckmans (ALCOSP, 2013)

Sparse estimation from noisy observations of an overdetermined linear system. - Liang Dai 002; Kristiaan Pelckmans (Autom., 2014)

Asymmetric v-tube support vector regression. - Xiaolin Huang; Lei Shi 010; Kristiaan Pelckmans; Johan A. K. Suykens (Comput. Stat. Data Anal., 2014)

Approximate adjoint-based iterative learning control. - Johannes Nygren; Kristiaan Pelckmans; Bengt Carlsson (Int. J. Control, 2014)

On the Randomized Kaczmarz Algorithm. - Liang Dai 002; Mojtaba Soltanalian; Kristiaan Pelckmans (IEEE Signal Process. Lett., 2014)

Stability analysis of an adaptively sampled controller for SISO systems with nonlinear feedback. - Johannes Nygren; Kristiaan Pelckmans (ACC, 2015)

Conditions for input-output stability of discrete-time Lur'e systems with time-varying delays. - Johannes Nygren; Kristiaan Pelckmans (CDC, 2015)

On the nuclear norm heuristic for a Hankel matrix completion problem. - Liang Dai 002; Kristiaan Pelckmans (Autom., 2015)

Identifiability and convergence analysis of the MINLIP estimator. - Liang Dai 002; Kristiaan Pelckmans; Er-Wei Bai (Autom., 2015)

System components of a general theory of software engineering. - Anca-Juliana Stoica; Kristiaan Pelckmans; William Rowe (Sci. Comput. Program., 2015)

A Direct Proof of the Discrete-Time Multivariate Circle and Tsypkin Criteria. - Johannes Nygren; Kristiaan Pelckmans (IEEE Trans. Autom. Control., 2016)

FADO: A Deterministic Detection/Learning Algorithm. - Kristiaan Pelckmans (CoRR, 2017)

A stability criterion for switching Lur'e systems with switching-path restrictions. - Johannes Nygren; Kristiaan Pelckmans (Autom., 2018)

Worst-Case Prediction Performance Analysis of the Kalman Filter. - Sholeh Yasini; Kristiaan Pelckmans (IEEE Trans. Autom. Control., 2018)

APTER: Aggregated Prognosis Through Exponential Re-weighting. - Yang Liu; Kristiaan Pelckmans (COCOON, 2019)

Frequency conditions for stable networked controllers with time-delay. - Johannes Nygren; Torbjörn Wigren; Kristiaan Pelckmans (Int. J. Control, 2019)

ASA - The Adaptive Scheduling Architecture. - Abel Souza; Kristiaan Pelckmans; Devarshi Ghoshal; Lavanya Ramakrishnan; Johan Tordsson (HPDC, 2020)

APTER: Aggregated Prognosis Through Exponential Reweighting. - Kristiaan Pelckmans; Liu Yang (CoRR, 2020)

Longitudinal Support Vector Machines for High Dimensional Time Series. - Kristiaan Pelckmans; Hong-Li Zeng (CoRR, 2020)

Monitoring High-Frequency Data Streams in FinTech: FADO Versus $K$K-Means. - Kristiaan Pelckmans (IEEE Intell. Syst., 2020)

A HPC Co-scheduler with Reinforcement Learning. - Abel Souza; Kristiaan Pelckmans; Johan Tordsson (JSSPP, 2021)

Detecting Suspicious Events in Fast Information Flows. - Kristiaan Pelckmans; Moustafa Aboushady; Andreas Brosemyr (CoRR, 2021)

ASA - The Adaptive Scheduling Algorithm. - Abel Souza; Kristiaan Pelckmans; Devarshi Ghoshal; Lavanya Ramakrishnan; Johan Tordsson (CoRR, 2024)