Kristiaan Pelckmans

Follow

Generating author description...

All published works
Action Title Year Authors
+ ASA -- The Adaptive Scheduling Algorithm 2024 Abel Souza
Kristiaan Pelckmans
Devarshi Ghoshal
Lavanya Ramakrishnan
Johan Tordsson
+ PDF Chat Launching the VASCO Citizen Science Project 2022 Beatriz Villarroel
Kristiaan Pelckmans
E. Solano
Mikael Laaksoharju
Abel Souza
Onyeuwaoma Nnaemeka Dom
Khaoula Laggoune
J. Mimouni
Hichem Guergouri
Lars Mattsson
+ Detecting Suspicious Events in Fast Information Flows. 2021 Kristiaan Pelckmans
Moustafa Aboushady
Andreas Brosemyr
+ PDF Chat A HPC Co-scheduler with Reinforcement Learning 2021 Abel Souza
Kristiaan Pelckmans
Johan Tordsson
+ Detecting Suspicious Events in Fast Information Flows 2021 Kristiaan Pelckmans
Moustafa Aboushady
Andreas Brosemyr
+ Launching the VASCO citizen science project 2020 Beatriz Villarroel
Kristiaan Pelckmans
E. Solano
Mikael Laaksoharju
Abel Souza
Onyeuwaoma Nnaemeka Dom
Khaoula Laggoune
J. Mimouni
Lars Mattsson
Johan Soodla
+ APTER: Aggregated Prognosis Through Exponential Reweighting 2020 Kristiaan Pelckmans
Liu Yang
+ Longitudinal Support Vector Machines for High Dimensional Time Series 2020 Kristiaan Pelckmans
Hong-Li Zeng
+ Launching the VASCO citizen science project 2020 Beatriz Villarroel
Kristiaan Pelckmans
E. Solano
Mikael Laaksoharju
Abel Souza
Onyeuwaoma Nnaemeka Dom
Khaoula Laggoune
J. Mimouni
Lars Mattsson
Johan Soodla
+ PDF Chat The Vanishing and Appearing Sources during a Century of Observations Project. I. USNO Objects Missing in Modern Sky Surveys and Follow-up Observations of a “Missing Star” 2019 Beatriz Villarroel
Johan Soodla
SĂ©bastien ComerĂłn
Lars Mattsson
Kristiaan Pelckmans
M. López‐Corredoira
K. Krisciunas
Eduardo Guerras
O. Kochukhov
Josefine Bergstedt
+ PDF Chat Identifying reionization-epoch galaxies with extreme levels of Lyman continuum leakage in James Webb Space Telescope surveys 2019 Sambit K. Giri
Erik Zackrisson
Christian Binggeli
Kristiaan Pelckmans
Rubén Cubo
+ PDF Chat APTER: Aggregated Prognosis Through Exponential Re-weighting 2019 Liu Yang
Kristiaan Pelckmans
+ PDF Chat Lyman continuum leakage versus quenching with the James Webb Space Telescope: the spectral signatures of quenched star formation activity in reionization-epoch galaxies 2018 Christian Binggeli
Erik Zackrisson
Kristiaan Pelckmans
Rubén Cubo
Hannes Jensen
Ikko Shimizu
+ FADO: A Deterministic Detection/Learning Algorithm. 2017 Kristiaan Pelckmans
+ PDF Chat Worst-Case Prediction Performance Analysis of the Kalman Filter 2017 Sholeh Yasini
Kristiaan Pelckmans
+ Data from: Evolution of brain region volumes during artificial selection for relative brain size 2017 Alexander Kotrschal
Zeng Hong-Li
van der Bijl Wouter
Oehman-MĂ€gi Caroline
Kotrschal Kurt
Kristiaan Pelckmans
Kolm Niclas
+ Tensor decompositions for the analysis of atomic resolution electron energy loss spectra 2017 Jakob Spiegelberg
JĂĄn Rusz
Kristiaan Pelckmans
+ FADO: A Deterministic Detection/Learning Algorithm 2017 Kristiaan Pelckmans
+ Worst-case Prediction Performance Analysis of the Kalman Filter 2016 Sholeh Yasini
Kristiaan Pelckmans
+ PDF Chat A MACHINE-LEARNING APPROACH TO MEASURING THE ESCAPE OF IONIZING RADIATION FROM GALAXIES IN THE REIONIZATION EPOCH 2016 Hannes Jensen
Erik Zackrisson
Kristiaan Pelckmans
Christian Binggeli
Kristiina Ausmees
Ulrika Lundholm
+ An efficient method for sorting and selecting for social behaviour 2016 Alex Szorkovszky
Alexander Kotrschal
James E. Herbert‐Read
David J. T. Sumpter
Niclas Kolm
Kristiaan Pelckmans
+ Worst-case Prediction Performance Analysis of the Kalman Filter 2016 Sholeh Yasini
Kristiaan Pelckmans
+ PDF Chat On the nuclear norm heuristic for a Hankel matrix completion problem 2014 Liang Dai
Kristiaan Pelckmans
+ PDF Chat Sparse estimation from noisy observations of an overdetermined linear system 2014 Liang Dai
Kristiaan Pelckmans
+ PDF Chat Asymmetric <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si55.gif" display="inline" overflow="scroll"><mml:mi>Μ</mml:mi></mml:math>-tube support vector regression 2014 Xiaolin Huang
ЛДĐč КО
Kristiaan Pelckmans
Johan A. K. Suykens
+ PDF Chat On the Randomized Kaczmarz Algorithm 2014 Liang Dai
Mojtaba Soltanalian
Kristiaan Pelckmans
+ PDF Chat Machine Learning Approaches to Survival Analysis: Case Studies in Microarray for Breast Cancer 2014 Yang Liu
Kristiaan Pelckmans
+ Sparse Estimation From Noisy Observations of an Overdetermined Linear System 2014 Liang Dai
Kristiaan Pelckmans
+ On the Nuclear Norm heuristic for a Hankel matrix Recovery Problem 2012 Liang Dai
Kristiaan Pelckmans
+ PDF Chat MINLIP for the identification of monotone Wiener systems 2011 Kristiaan Pelckmans
+ Support vector methods for survival analysis: a comparison between ranking and regression approaches 2011 Vanya Van Belle
Kristiaan Pelckmans
Sabine Van Huffel
Johan A. K. Suykens
+ Learning Transformation Models for Ranking and Survival Analysis 2011 Vanya Van Belle
Kristiaan Pelckmans
Johan A. K. Suykens
Sabine Van Huffel
+ PDF Chat Improved performance on high-dimensional survival data by application of Survival-SVM 2010 V. Van Belle
Kristiaan Pelckmans
Sabine Van Huffel
Johan A. K. Suykens
+ MINLIP for the Identification of Monotone Wiener Systems 2010 Kristiaan Pelckmans
+ On Robustness in Kernel Based Regression 2010 Kris De Brabanter
Peter Karsmakers
Jos De Brabanter
Kristiaan Pelckmans
Johan A. K. Suykens
Bart De Moor
+ MINLIP for the Identification of Monotone Wiener Systems 2010 Kristiaan Pelckmans
+ On the use of a clinical kernel in survival analysis 2010 Vanya Van Belle
Kristiaan Pelckmans
Johan A. K. Suykens
Sabine Van Huffel
+ Additive survival least‐squares support vector machines 2009 V. Van Belle
Kristiaan Pelckmans
Johan A. K. Suykens
Sabine Van Huffel
+ Linear Systems, Sparse Solutions, and Sudoku 2009 Prabhu Babu
Kristiaan Pelckmans
Petre Stoica
Jian Li
+ Least Conservative Support and Tolerance Tubes 2009 Kristiaan Pelckmans
Jos De Brabanter
Johan A. K. Suykens
Bart De Moor
+ Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes 2009 Kris De Brabanter
Kristiaan Pelckmans
Jos De Brabanter
Michiel Debruyne
Johan A. K. Suykens
Mia Hubert
Bart De Moor
+ MINLIP: Efficient Learning of Transformation Models 2009 Vanya Van Belle
Kristiaan Pelckmans
Johan A. K. Suykens
Sabine Van Huffel
+ Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation 2008 Marco Signoretto
Kristiaan Pelckmans
Johan A. K. Suykens
+ Functional ANOVA Models: Convex-concave approach and concurvity analysis 2008 Marco Signoretto
Kristiaan Pelckmans
Johan A. K. Suykens
+ Survival SVM: a Practical Scalable Algorithm 2008 Vanya Van Belle
Kristiaan Pelckmans
Johan A. K. Suykens
Sabine Van Huffel
+ Support and Quantile Tubes 2007 Kristiaan Pelckmans
Jos De Brabanter
Johan A. K. Suykens
Bart De Moor
+ Nonparametric comparison of signals based on statistiscal bootstrap techniques 2006 Joseph De Brabanter
Kristiaan Pelckmans
Johan A. K. Suykens
Philippe Saey
Gilbert Verhiest
Bart De Moor
+ PDF Chat Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods 2006 Kristiaan Pelckmans
Johan A. K. Suykens
Bart De Moor
+ GENERALIZED LIKELIHOOD RATIO STATISTICS BASED ON BOOTSTRAP TECHNIQUES FOR AUTOREGRESSIVE MODELS 2006 Jos De Brabanter
Kristiaan Pelckmans
Johan A. K. Suykens
Bart De Moor
+ Nonparametric Comparison of Signals Based on Statistical Bootstrap Techniques 2006 Joseph De Brabanter
Kristiaan Pelckmans
Johan A. K. Suykens
Bart De Moor
+ Primal-Dual Monotone Kernel Regression 2005 Kristiaan Pelckmans
M. Espinoza
Jos De Brabanter
Johan A. K. Suykens
Bart De Moor
+ The differogram: Non-parametric noise variance estimation and its use for model selection 2005 Kristiaan Pelckmans
Jos De Brabanter
Johan A. K. Suykens
Bart De Moor
+ Handling missing values in support vector machine classifiers 2005 Kristiaan Pelckmans
Jos De Brabanter
Johan A. K. Suykens
Bart De Moor
+ Componentwise Least Squares Support Vector Machines 2005 Kristiaan Pelckmans
Ivan Goethals
Jos De Brabanter
Johan A. K. Suykens
Bart De Moor
+ Prediction Intervals for NAR Model Structures Using a Bootstrap Method 2005 Joseph De Brabanter
Kristiaan Pelckmans
Johan A. K. Suykens
Bart De Moor
+ Componentwise Least Squares Support Vector Machines 2005 Kristiaan Pelckmans
Ivan Goethals
Jos De Brabanter
Johan A. K. Suykens
Bart De Moor
+ Robust complexity criteria for nonlinear regression in NARX models 2003 Jos De Brabanter
Kristiaan Pelckmans
Johan A. K. Suykens
Bart De Moor
Joos Vandewalle
+ Robust Cross-Validation Score Function for Non-linear Function Estimation 2002 Jos De Brabanter
Kristiaan Pelckmans
Johan A. K. Suykens
Joos Vandewalle
+ Robust cross-validation score function for non-linear function estimation 2002 Jos De Brabanter
Kristiaan Pelckmans
Johan A. K. Suykens
Joos Vandewalle
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ The Elements of Statistical Learning 2001 Trevor Hastie
J. Friedman
Robert Tibshirani
9
+ Learning Transformation Models for Ranking and Survival Analysis 2011 Vanya Van Belle
Kristiaan Pelckmans
Johan A. K. Suykens
Sabine Van Huffel
8
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
7
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
7
+ Large Margin Rank Boundaries for Ordinal Regression 2000 Ralf Herbrich
Thore Graepel
Klaus Obermayer
6
+ Robust Regression and Outlier Detection 1989 Gregory F. Piepel
Peter J. Rousseeuw
Annick M. Leroy
5
+ Componentwise Least Squares Support Vector Machines 2005 Kristiaan Pelckmans
Ivan Goethals
Jos De Brabanter
Johan A. K. Suykens
Bart De Moor
5
+ PDF Chat Robust Estimation of a Location Parameter 1964 Peter J. Huber
5
+ PDF Chat Cross‐validated Cox regression on microarray gene expression data 2005 Hans C. van Houwelingen
Tako J. Bruinsma
Augustinus A. M. Hart
Laura J. van’t Veer
Lodewyk F.A. Wessels
5
+ THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL 1997 Robert Tibshirani
4
+ Survival SVM: a Practical Scalable Algorithm 2008 Vanya Van Belle
Kristiaan Pelckmans
Johan A. K. Suykens
Sabine Van Huffel
4
+ <i>L</i><sub>1</sub> Penalized Estimation in the Cox Proportional Hazards Model 2009 Jelle J. Goeman
4
+ PDF Chat Bootstrap Methods: Another Look at the Jackknife 1979 B. Efron
4
+ Modeling Survival Data: Extending the Cox Model 2000 Terry M. Therneau
Patricia M. Grambsch
4
+ Spline Models for Observational Data. 1991 Hans‐Georg MĂŒller
Grace Wahba
4
+ PDF Chat THE SPECTRAL EVOLUTION OF THE FIRST GALAXIES. I.<i>JAMES WEBB SPACE TELESCOPE</i>DETECTION LIMITS AND COLOR CRITERIA FOR POPULATION III GALAXIES 2011 Erik Zackrisson
Claes-Erik Rydberg
D. Schaerer
Göran Östlin
Manan Tuli
3
+ More Comments on<i>C<sub>p</sub></i> 1995 Cohn L. Mallows
3
+ PDF Chat Predicted UV properties of very metal-poor starburst galaxies 2010 Anna Raiter
D. Schaerer
R. A. E. Fosbury
3
+ PDF Chat THE SPECTRAL EVOLUTION OF THE FIRST GALAXIES. II. SPECTRAL SIGNATURES OF LYMAN CONTINUUM LEAKAGE FROM GALAXIES IN THE REIONIZATION EPOCH 2013 Erik Zackrisson
Akio Inoue
Hannes Jensen
3
+ Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties 2001 Jianqing Fan
Runze Li
3
+ Predicting Survival Probabilities with Semiparametric Transformation Models 1997 Sen Cheng
L. J. Wei
Z. Ying
3
+ PDF Chat Spectral population synthesis including massive binaries 2009 J. J. Eldridge
E. R. Stanway
3
+ Wiley Series in Probability and Statistics 2007 3
+ Regression modelling strategies for improved prognostic prediction 1984 Frank E. Harrell
Kerry L. Lee
Robert M. Califf
David B. Pryor
Robert A. Rosati
3
+ PDF Chat COSMIC REIONIZATION ON COMPUTERS. I. DESIGN AND CALIBRATION OF SIMULATIONS 2014 Nickolay Y. Gnedin
3
+ PDF Chat Concordance probability and discriminatory power in proportional hazards regression 2005 Mithat Gönen
Glenn Heller
3
+ PDF Chat HUBBLE IMAGING OF THE IONIZING RADIATION FROM A STAR-FORMING GALAXY AT Z = 3.2 WITH * 2016 E. Vanzella
S. C. C. Barros
Kaveh Vasei
Anahita Alavi
Mauro Giavalisco
Brian Siana
A. Grazian
G. Hasinger
Hyewon Suh
N. Cappelluti
3
+ PDF Chat Eight per cent leakage of Lyman continuum photons from a compact, star-forming dwarf galaxy 2016 Y. I. Izotov
Ivana OrlitovĂĄ
D. Schaerer
T. X. Thuan
Anne Verhamme
N. G. Guseva
G. Worseck
3
+ Robust Regression and Outlier Detection 1987 Peter J. Rousseeuw
Annick M. Leroy
3
+ Applied nonparametric regression 1991 Wolfgang Karl HĂ€rdle
3
+ PDF Chat COSMIC REIONIZATION ON COMPUTERS. II. REIONIZATION HISTORY AND ITS BACK-REACTION ON EARLY GALAXIES 2014 Nickolay Y. Gnedin
Alexander A. Kaurov
3
+ PDF Chat Flexible smoothing with B-splines and penalties 1996 Paul H.C. Eilers
Brian D. Marx
3
+ PDF Chat KECK SPECTROSCOPY OF GRAVITATIONALLY LENSED<i>z</i>≃ 4 GALAXIES: IMPROVED CONSTRAINTS ON THE ESCAPE FRACTION OF IONIZING PHOTONS 2013 Tucker Jones
Richard S. Ellis
Matthew A. Schenker
Daniel P. Stark
3
+ Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach 1998 Elia Biganzoli
Patrizia Boracchi
Luigi Mariani
Ettore Marubini
3
+ Cross-Validatory Choice and Assessment of Statistical Predictions 1974 M. Stone
3
+ Regression Models in Clinical Studies: Determining Relationships Between Predictors and Response 1988 F. E. Harre
K. L. Lee
Bruce G. Pollock
3
+ Statistical Predictor Identification 1998 Hirotugu Akaike
3
+ PDF Chat Sure Independence Screening for Ultrahigh Dimensional Feature Space 2008 Jianqing Fan
Jinchi Lv
3
+ PDF Chat A General Qualitative Definition of Robustness 1971 Frank R. Hampel
2
+ PDF Chat The Dantzig Selector in Cox's Proportional Hazards Model 2010 Anestis Antoniadis
Piotr FryĆșlewicz
Frédérique Letué
2
+ MINLIP: Efficient Learning of Transformation Models 2009 Vanya Van Belle
Kristiaan Pelckmans
Johan A. K. Suykens
Sabine Van Huffel
2
+ PDF Chat Spectroscopic detection of C iv λ1548 in a galaxy at<i>z</i> = 7.045: implications for the ionizing spectra of reionization-era galaxies 2015 Daniel P. Stark
Gregory Walth
S. Charlot
Benjamin Clément
Anna Feltre
Julia Gutkin
Johan Richard
Ramesh Mainali
Brant Robertson
Brian Siana
2
+ Ranking and Scoring Using Empirical Risk Minimization 2005 Stéphan Clémençon
GĂĄbor Lugosi
Nicolas Vayatis
2
+ Modeling Survival Data. 2011 Edward L. Melnick
2
+ Adapting to Unknown Smoothness via Wavelet Shrinkage 1995 David L. Donoho
Iain M. Johnstone
2
+ Support Vector Regression for Censored Data (SVRc): A Novel Tool for Survival Analysis 2008 Faisal M. Khan
Valentina Bayer Zubek
2
+ PDF Chat An updated analytic model for attenuation by the intergalactic medium 2014 Akio Inoue
Ikkoh Shimizu
Ikuru Iwata
Masayuki Tanaka
2
+ Residual variance and residual pattern in nonlinear regression 1986 Théo Gasser
Lothar Sroka
Christine Jennen-Steinmetz
2
+ Sparse estimation based on a validation criterion 2011 Cristian R. Rojas
HĂ„kan Hjalmarsson
2
+ Uncertainties for recursive estimators in nonlinear state-space models, with applications to epidemiology 1995 J.L. Maryak
James C. Spall
Geoffrey L. Silberman
2