Kristiaan Pelckmans

74 papers A 3B 9C 3Misc 1Journal 39Unranked 19
YearRankTypeTitle / Venue / Authors
2024 J jnl
A HPC Co-Scheduler with Reinforcement Learning.
CoRR
Abel Souza, Kristiaan Pelckmans, Johan Tordsson
2024 J jnl
ASA - The Adaptive Scheduling Algorithm.
CoRR
Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson
2021 C conf
A HPC Co-scheduler with Reinforcement Learning.
JSSPP
Abel Souza, Kristiaan Pelckmans, Johan Tordsson
2021 J jnl
Detecting Suspicious Events in Fast Information Flows.
CoRR
Kristiaan Pelckmans, Moustafa Aboushady, Andreas Brosemyr
2020 J jnl
APTER: Aggregated Prognosis Through Exponential Reweighting.
CoRR
Kristiaan Pelckmans, Liu Yang
2020 A conf
ASA - The Adaptive Scheduling Architecture.
HPDC
Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson
2020 J jnl
Longitudinal Support Vector Machines for High Dimensional Time Series.
CoRR
Kristiaan Pelckmans, Hong-Li Zeng
2020 J jnl
Monitoring High-Frequency Data Streams in FinTech: FADO Versus $K$K-Means.
IEEE Intell. Syst.
Kristiaan Pelckmans
2019 Misc conf
APTER: Aggregated Prognosis Through Exponential Re-weighting.
COCOON
Yang Liu, Kristiaan Pelckmans
2019 J jnl
Frequency conditions for stable networked controllers with time-delay.
Int. J. Control
Johannes Nygren, Torbjörn Wigren, Kristiaan Pelckmans
2018 J jnl
A stability criterion for switching Lur'e systems with switching-path restrictions.
Autom.
Johannes Nygren, Kristiaan Pelckmans
2018 J jnl
Worst-Case Prediction Performance Analysis of the Kalman Filter.
IEEE Trans. Autom. Control.
Sholeh Yasini, Kristiaan Pelckmans
2017 J jnl
FADO: A Deterministic Detection/Learning Algorithm.
CoRR
Kristiaan Pelckmans
2016 J jnl
A Direct Proof of the Discrete-Time Multivariate Circle and Tsypkin Criteria.
IEEE Trans. Autom. Control.
Johannes Nygren, Kristiaan Pelckmans
2015 — conf
Conditions for input-output stability of discrete-time Lur'e systems with time-varying delays.
CDC
Johannes Nygren, Kristiaan Pelckmans
2015 J jnl
Identifiability and convergence analysis of the MINLIP estimator.
Autom.
Liang Dai, Kristiaan Pelckmans, Er-Wei Bai
2015 J jnl
On the nuclear norm heuristic for a Hankel matrix completion problem.
Autom.
Liang Dai, Kristiaan Pelckmans
2015 C conf
Stability analysis of an adaptively sampled controller for SISO systems with nonlinear feedback.
ACC
Johannes Nygren, Kristiaan Pelckmans
2015 J jnl
System components of a general theory of software engineering.
Sci. Comput. Program.
Anca-Juliana Stoica, Kristiaan Pelckmans, William Rowe
2014 J jnl
Approximate adjoint-based iterative learning control.
Int. J. Control
Johannes Nygren, Kristiaan Pelckmans, Bengt Carlsson
2014 J jnl
Asymmetric v-tube support vector regression.
Comput. Stat. Data Anal.
Xiaolin Huang, Lei Shi, Kristiaan Pelckmans, Johan A. K. Suykens
2014 J jnl
On the Randomized Kaczmarz Algorithm.
CoRR
Liang Dai, Mojtaba Soltanalian, Kristiaan Pelckmans
2014 J jnl
On the Randomized Kaczmarz Algorithm.
IEEE Signal Process. Lett.
Liang Dai, Mojtaba Soltanalian, Kristiaan Pelckmans
2014 J jnl
Sparse Estimation From Noisy Observations of an Overdetermined Linear System.
CoRR
Liang Dai, Kristiaan Pelckmans
2014 J jnl
Sparse estimation from noisy observations of an overdetermined linear system.
Autom.
Liang Dai, Kristiaan Pelckmans
2013 — conf
Randomized Gossip Algorithms for Achieving Consensus on the Majority Vote.
ALCOSP
Kristiaan Pelckmans
2012 — conf
An ellipsoid based, two-stage screening test for BPDN.
EUSIPCO
Liang Dai, Kristiaan Pelckmans
2012 J jnl
On the Nuclear Norm heuristic for a Hankel matrix Recovery Problem
CoRR
Liang Dai, Kristiaan Pelckmans
2011 — conf
A simple recursive algorithm for learning a Monotone Wiener system.
CDC/ECC
Kristiaan Pelckmans, Liang Dai
2011 — conf
An Adaptive Compression Algorithm in a Deterministic World.
Algorithmic Probability and Friends
Kristiaan Pelckmans
2011 J jnl
Improved performance on high-dimensional survival data by application of Survival-SVM.
Bioinform.
Vanya Van Belle, Kristiaan Pelckmans, Sabine Van Huffel, Johan A. K. Suykens
2011 J jnl
Learning Transformation Models for Ranking and Survival Analysis.
J. Mach. Learn. Res.
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel
2011 J jnl
MINLIP for the identification of monotone Wiener systems.
Autom.
Kristiaan Pelckmans
2011 J jnl
Sparse conjugate directions pursuit with application to fixed-size kernel models.
Mach. Learn.
Peter Karsmakers, Kristiaan Pelckmans, Kris De Brabanter, Hugo Van hamme, Johan A. K. Suykens
2011 J jnl
Support vector methods for survival analysis: a comparison between ranking and regression approaches.
Artif. Intell. Medicine
Vanya Van Belle, Kristiaan Pelckmans, Sabine Van Huffel, Johan A. K. Suykens
2010 — conf
Efficient adaptive filtering for smooth linear FIR models.
EUSIPCO
Kristiaan Pelckmans, Toon van Waterschoot, Johan A. K. Suykens
2010 — conf
Improved non-parametric sparse recovery with data matched penalties.
CIP
Marco Signoretto, Kristiaan Pelckmans, Lieven De Lathauwer, Johan A. K. Suykens
2010 J jnl
Linear Systems, Sparse Solutions, and Sudoku.
IEEE Signal Process. Lett.
Prabhu Babu, Kristiaan Pelckmans, Petre Stoica, Jian Li
2010 J jnl
MINLIP for the Identification of Monotone Wiener Systems
CoRR
Kristiaan Pelckmans
2010 — conf
On the identification of monotone Wiener systems.
CDC
Kristiaan Pelckmans
2010 B conf
On the use of a clinical kernel in survival analysis.
ESANN
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel
2009 — conf
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints.
IWANN (1)
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel
2009 J jnl
Least conservative support and tolerance tubes.
IEEE Trans. Inf. Theory
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2009 — conf
MINLIP: Efficient Learning of Transformation Models.
ICANN (1)
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel
2009 — conf
Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.
ICANN (1)
Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor
2009 B conf
Transductively Learning from Positive Examples Only.
ESANN
Kristiaan Pelckmans, Johan A. K. Suykens
2008 — conf
An Online Algorithm for Learning a Labeling of a Graph.
MLG@ICML
Kristiaan Pelckmans, Johan A. K. Suykens
2008 — conf
Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation.
ICANN (1)
Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens
2008 B conf
Survival SVM: a practical scalable algorithm.
ESANN
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel
2007 J jnl
A Convex Approach to Validation-Based Learning of the Regularization Constant.
IEEE Trans. Neural Networks
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2007 — conf
A Risk Minimization Principle for a Class of Parzen Estimators.
NIPS
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2007 B conf
Convex optimization for the design of learning machines.
ESANN
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2007 A conf
Fixed-size kernel logistic regression for phoneme classification.
INTERSPEECH
Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens, Hugo Van hamme
2007 A conf
Margin based Transductive Graph Cuts using Linear Programming.
AISTATS
Kristiaan Pelckmans, John Shawe-Taylor, Johan A. K. Suykens, Bart De Moor
2007 B conf
Multi-class kernel logistic regression: a fixed-size implementation.
IJCNN
Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens
2007 J jnl
Support and Quantile Tubes
CoRR
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2007 — conf
Transductive Rademacher Complexities for Learning Over a Graph.
MLG
Kristiaan Pelckmans, Johan A. K. Suykens
2006 J jnl
Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods.
Mach. Learn.
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2005 J jnl
Building sparse representations and structure determination on LS-SVM substrates.
Neurocomputing
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2005 J jnl
Componentwise Least Squares Support Vector Machines
CoRR
Kristiaan Pelckmans, Ivan Goethals, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2005 — conf
Componentwise Support Vector Machines for Structure Detection.
ICANN (2)
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2005 J jnl
Handling missing values in support vector machine classifiers.
Neural Networks
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2005 J jnl
Identification of MIMO Hammerstein models using least squares support vector machines.
Autom.
Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2005 B conf
Maximal variation and missing values for componentwise support vector machines.
IJCNN
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor, Jos De Brabanter
2005 — conf
On Model Complexity Control in Identification of Hammerstein Systems.
CDC/ECC
Kristiaan Pelckmans, Johan A. K. Suykens, Ivan Goethals, Bart De Moor
2005 J jnl
Primal-Dual Monotone Kernel Regression.
Neural Process. Lett.
Kristiaan Pelckmans, Marcelo Espinoza, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2005 J jnl
Subspace identification of Hammerstein systems using least squares support vector machines.
IEEE Trans. Autom. Control.
Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2005 — conf
Subspace intersection identification of Hammerstein-Wiener systems.
CDC/ECC
Ivan Goethals, Kristiaan Pelckmans, Luc Hoegaerts, Johan A. K. Suykens, Bart De Moor
2005 J jnl
The differogram: Non-parametric noise variance estimation and its use for model selection.
Neurocomputing
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2004 B conf
Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs.
ICONIP
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2004 B conf
Regularization constants in LS-SVMs: a fast estimate via convex optimization.
IJCNN
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2004 B conf
Sparse LS-SVMs using additive regularization with a penalized validation criterion.
ESANN
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor
2003 — conf
Variogram based noise variance estimation and its use in kernel based regression.
NNSP
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2002 C conf
Robust Cross-Validation Score Function for Non-linear Function Estimation.
ICANN
Jos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle