Kristiaan Pelckmans

Design, Development and Testing of a Conformal 60 GHz Active Repeater for High Energy Physics Applications

Aziz, Imran; Alekajbaf, Yasin; Dancila, Dragos; Pelckmans, Kristiaan et al.

Ingår i 2025 19TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP, 2025

Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies

Corral-López, Alberto; Kotrschal, Alexander; Szorkovszky, Alexander; Garate-Olaizola, Maddi et al.

Ingår i Nature Communications, 2023

• DOI för Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies
• Ladda ner fulltext (pdf) av Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies

Launching the VASCO Citizen Science Project

Villarroel, Beatriz; Pelckmans, Kristiaan; Solano, Enrique; Laaksoharju, Mikael et al.

Ingår i Universe, 2022

• DOI för Launching the VASCO Citizen Science Project
• Ladda ner fulltext (pdf) av Launching the VASCO Citizen Science Project

A HPC Co-scheduler with Reinforcement Learning

Souza, Abel; Pelckmans, Kristiaan; Tordsson, Johan

Ingår i JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING, JSSPP 2021, s. 126-148, 2021

• DOI för A HPC Co-scheduler with Reinforcement Learning

ASA: The Adaptive Scheduling Architecture

Souza, Abel; Pelckmans, Kristiaan; Ghoshal, Devarshi; Ramakrishnan, Lavanya et al.

Ingår i HPDC '20, s. 161-165, 2020

• DOI för ASA: The Adaptive Scheduling Architecture

Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies

Corral-López, Alberto; Kotrschal, Alexander; Szorkovszky, Alexander; Garate-Olaizola, Maddi et al.

Ingår i Nature Communications, 2023

• DOI för Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies
• Ladda ner fulltext (pdf) av Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies

Launching the VASCO Citizen Science Project

Villarroel, Beatriz; Pelckmans, Kristiaan; Solano, Enrique; Laaksoharju, Mikael et al.

Ingår i Universe, 2022

• DOI för Launching the VASCO Citizen Science Project
• Ladda ner fulltext (pdf) av Launching the VASCO Citizen Science Project

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"

Villarroel, Beatriz; Soodla, Johan; Comeron, Sebastien; Mattsson, Lars et al.

Ingår i Astronomical Journal, 2020

• DOI för 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"

Rapid evolution of coordinated and collective movement in response to artificial selection

Kotrschal, Alexander; Szorkovszky, Alexander; Herbert-Read, James; Bloch, Natasha et al.

Ingår i Science Advances, 2020

• DOI för Rapid evolution of coordinated and collective movement in response to artificial selection
• Ladda ner fulltext (pdf) av Rapid evolution of coordinated and collective movement in response to artificial selection

Monitoring High-Frequency Data Streams in FinTech: FADO Versus K-means

Pelckmans, Kristiaan

Ingår i IEEE Intelligent Systems, s. 36-42, 2020

• DOI för Monitoring High-Frequency Data Streams in FinTech: FADO Versus K-means

Identifying reionization-epoch galaxies with extreme levels of Lyman continuum leakage in James Webb Space Telescope surveys

Giri, Sambit K.; Zackrisson, Erik; Binggeli, Christian; Pelckmans, Kristiaan et al.

Ingår i Monthly notices of the Royal Astronomical Society, s. 5277-5286, 2020

• DOI för Identifying reionization-epoch galaxies with extreme levels of Lyman continuum leakage in James Webb Space Telescope surveys

Frequency conditions for stable networked controllers with time-delay

Nygren, Johannes; Wigren, Torbjörn; Pelckmans, Kristiaan

Ingår i International Journal of Control, s. 886-895, 2019

• DOI för Frequency conditions for stable networked controllers with time-delay

Assortative interactions revealed by sorting of animal groups

Szorkovszky, Alex; Kotrschal, Alexander; Herbert-Read, James E.; Buechel, Severine D. et al.

Ingår i Animal Behaviour, s. 165-179, 2018

• DOI för Assortative interactions revealed by sorting of animal groups

Brain size does not impact shoaling dynamics in unfamiliar groups of guppies (Poecilia reticulata)

Kotrschal, Alexander; Szorkovszky, Alexander; Romenskyy, Maksym; Perna, Andrea et al.

Ingår i Behavioural Processes, s. 13-20, 2018

• DOI för Brain size does not impact shoaling dynamics in unfamiliar groups of guppies (Poecilia reticulata)

Lyman continuum leakage versus quenching with the James Webb Space Telescope: the spectral signatures of quenched star formation activity in reionization-epoch galaxies

Binggeli, Christian; Zackrisson, Erik; Pelckmans, Kristiaan; Cubo, Rubén et al.

Ingår i Monthly notices of the Royal Astronomical Society, s. 368-376, 2018

• DOI för Lyman continuum leakage versus quenching with the James Webb Space Telescope: the spectral signatures of quenched star formation activity in reionization-epoch galaxies
• Ladda ner fulltext 1 (pdf) av Lyman continuum leakage versus quenching with the James Webb Space Telescope: the spectral signatures of quenched star formation activity in reionization-epoch galaxies
• Ladda ner fulltext 2 (pdf) av Lyman continuum leakage versus quenching with the James Webb Space Telescope: the spectral signatures of quenched star formation activity in reionization-epoch galaxies

A stability criterion for switching Lur'e systems with switching-path restrictions

Nygren, Johannes; Pelckmans, Kristiaan

Ingår i Automatica, s. 337-341, 2018

• DOI för A stability criterion for switching Lur'e systems with switching-path restrictions

Worst-case prediction performance analysis of the Kalman filter

Yasini, Sholeh; Pelckmans, Kristiaan

Ingår i IEEE Transactions on Automatic Control, s. 1768-1775, 2018

• DOI för Worst-case prediction performance analysis of the Kalman filter

An efficient method for sorting and quantifying individual social traits based on group-level behaviour

Szorkovszky, Alex; Kotrschal, Alexander; Herbert Read, James E.; Sumpter, David J. T. et al.

Ingår i Methods in Ecology and Evolution, s. 1735-1744, 2017

• DOI för An efficient method for sorting and quantifying individual social traits based on group-level behaviour

Unmixing hyperspectral data by using signal subspace sampling

Spiegelberg, Jakob; Muto, Shunsuke; Ohtsuka, Masahiro; Pelckmans, Kristiaan et al.

Ingår i Ultramicroscopy, s. 205-211, 2017

• DOI för Unmixing hyperspectral data by using signal subspace sampling

Tensor decompositions for the analysis of atomic resolution electron energy loss spectra

Spiegelberg, Jakob; Rusz, Jan; Pelckmans, Kristiaan

Ingår i Ultramicroscopy, s. 36-45, 2017

• DOI för Tensor decompositions for the analysis of atomic resolution electron energy loss spectra

Analysis of electron energy loss spectroscopy data using geometric extraction methods

Spiegelberg, Jakob; Rusz, Jan; Thersleff, Thomas; Pelckmans, Kristiaan

Ingår i Ultramicroscopy, s. 14-26, 2017

• DOI för Analysis of electron energy loss spectroscopy data using geometric extraction methods

Evolution of brain region volumes during artificial selection for relative brain size

Kotrschal, Alexander; Zeng, Hong-Li; van der Bijl, Wouter; Öhman-Mägi, Caroline et al.

Ingår i Evolution, s. 2942-2951, 2017

• DOI för Evolution of brain region volumes during artificial selection for relative brain size

A machine-learning approach to measuring the escape of ionizing radiation from galaxies in the reionization epoch

Jensen, Hannes; Zackrisson, Erik; Pelckmans, Kristiaan; Binggeli, Christian et al.

Ingår i Astrophysical Journal, 2016

• DOI för A machine-learning approach to measuring the escape of ionizing radiation from galaxies in the reionization epoch

A direct proof of the discrete-time multivariate circle and Tsypkin criteria

Nygren, Johannes; Pelckmans, Kristiaan

Ingår i IEEE Transactions on Automatic Control, s. 544-549, 2016

• DOI för A direct proof of the discrete-time multivariate circle and Tsypkin criteria

System components of a general theory of software engineering

Stoica, Anca-Juliana; Pelckmans, Kristiaan; Rowe, William

Ingår i Science of Computer Programming, s. 42-65, 2015

• DOI för System components of a general theory of software engineering

On the nuclear norm heuristic for a Hankel matrix completion problem

Dai, Liang; Pelckmans, Kristiaan

Ingår i Automatica, s. 268-272, 2015

• DOI för On the nuclear norm heuristic for a Hankel matrix completion problem

Identifiability and convergence analysis of the MINLIP estimator

Dai, Liang; Pelckmans, Kristiaan; Bai, Er-Wei

Ingår i Automatica, s. 104-110, 2015

• DOI för Identifiability and convergence analysis of the MINLIP estimator

On the randomized Kaczmarz algorithm

Dai, Liang; Soltanalian, Mojtaba; Pelckmans, Kristiaan

Ingår i IEEE Signal Processing Letters, s. 330-333, 2014

• DOI för On the randomized Kaczmarz algorithm

Approximate adjoint-based iterative learning control

Nygren, Johannes; Pelckmans, Kristiaan; Carlsson, Bengt

Ingår i International Journal of Control, s. 1028-1046, 2014

• DOI för Approximate adjoint-based iterative learning control

Sparse estimation from noisy observations of an overdetermined linear system

Dai, Liang; Pelckmans, Kristiaan

Ingår i Automatica, s. 2845-2851, 2014

• DOI för Sparse estimation from noisy observations of an overdetermined linear system

Asymmetric nu-tube support vector regression

Huang, Xiaolin; Shi, Lei; Pelckmans, Kristiaan; Suykens, Johan A. K.

Ingår i Computational Statistics & Data Analysis, s. 371-382, 2014

• DOI för Asymmetric nu-tube support vector regression

Least-Squares Support Vector Machines for the identification of Wiener-Hammerstein systems

Falck, Tillmann; Dreesen, Philippe; De Brabanter, Kris; Pelckmans, Kristiaan et al.

Ingår i Control Engineering Practice, s. 1165-1174, 2012

• DOI för Least-Squares Support Vector Machines for the identification of Wiener-Hammerstein systems

Improved performance on high-dimensional survival data by application of Survival-SVM

Van Belle, Vanya; Pelckmans, Kristiaan; Van Huffel, Sabine; Suykens, Johan A. K.

Ingår i Bioinformatics, s. 87-94, 2011

• DOI för Improved performance on high-dimensional survival data by application of Survival-SVM

Learning transformation models for ranking and survival analysis

Van Belle, Vanya; Pelckmans, Kristiaan; Suykens, Johan A. K.; Van Huffel, Sabine

Ingår i Journal of machine learning research, s. 819-862, 2011

MINLIP for the identification of monotone Wiener systems

Pelckmans, Kristiaan

Ingår i Automatica, s. 2298-2305, 2011

• DOI för MINLIP for the identification of monotone Wiener systems

Sparse conjugate directions pursuit with application to fixed-size kernel models

Karsmakers, Peter; Pelckmans, Kristiaan; De Brabanter, Kris; Van hamme, Hugo et al.

Ingår i Machine Learning, s. 109-148, 2011

• DOI för Sparse conjugate directions pursuit with application to fixed-size kernel models

Support vector methods for survival analysis: a comparison between ranking and regression approaches

Van Belle, Vanya; Pelckmans, Kristiaan; Van Huffel, Sabine; Suykens, Johan A. K.

Ingår i Artificial Intelligence in Medicine, s. 107-118, 2011

• DOI för Support vector methods for survival analysis: a comparison between ranking and regression approaches

Primal and dual model representations in kernel-based learning

Suykens, Johan A. K.; Alzate, Carlos; Pelckmans, Kristiaan

Ingår i Statistics Surveys, s. 148-183, 2010

• DOI för Primal and dual model representations in kernel-based learning

Linear Systems, Sparse Solutions, and Sudoku

Babu, Prabhu; Pelckmans, Kristiaan; Stoica, Peter; Li, Jian

Ingår i IEEE Signal Processing Letters, s. 40-42, 2010

• DOI för Linear Systems, Sparse Solutions, and Sudoku

Additive survival least-squares support vector machines

Van Belle, Vanya; Pelckmans, Kristiaan; Suykens, Johan A. K.; Van Huffel, Sabine

Ingår i Statistics in Medicine, s. 296-308, 2010

• DOI för Additive survival least-squares support vector machines

Least conservative support and tolerance tubes

Pelckmans, Kristiaan; De Brabanter, Jos; Suykens, Johan A. K.; De Moor, Bart

Ingår i IEEE Transactions on Information Theory, s. 3799-3806, 2009

• DOI för Least conservative support and tolerance tubes

NARX identification of Hammerstein systems using least-squares support vector machines

Goethals, Ivan; Pelckmans, Kristiaan; Falck, Tillmann; Suykens, Johan A. K. et al.

Ingår i Block-oriented Nonlinear System Identification, s. 241-258, Springer-Verlag, 2010

• DOI för NARX identification of Hammerstein systems using least-squares support vector machines

Design, Development and Testing of a Conformal 60 GHz Active Repeater for High Energy Physics Applications

Aziz, Imran; Alekajbaf, Yasin; Dancila, Dragos; Pelckmans, Kristiaan et al.

Ingår i 2025 19TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP, 2025

A HPC Co-scheduler with Reinforcement Learning

Souza, Abel; Pelckmans, Kristiaan; Tordsson, Johan

Ingår i JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING, JSSPP 2021, s. 126-148, 2021

• DOI för A HPC Co-scheduler with Reinforcement Learning

ASA: The Adaptive Scheduling Architecture

Souza, Abel; Pelckmans, Kristiaan; Ghoshal, Devarshi; Ramakrishnan, Lavanya et al.

Ingår i HPDC '20, s. 161-165, 2020

• DOI för ASA: The Adaptive Scheduling Architecture

APTER: Aggregated Prognosis Through Exponential Re-weighting

Liu, Yang; Pelckmans, Kristiaan

Ingår i Computing and Combinatorics, s. 425-436, 2019

• DOI för APTER: Aggregated Prognosis Through Exponential Re-weighting

Constraining Lyman continuum escape using Machine Learning

Giri, Sambit K.; Zackrisson, Erik; Binggeli, Christian; Pelckmans, Kristiaan et al.

Ingår i Peering towards Cosmic Dawn, s. 254-258, 2018

• DOI för Constraining Lyman continuum escape using Machine Learning

High-dimensional online adaptive filtering

Yasini, Sholeh; Pelckmans, Kristiaan

s. 14106-14111, 2017

• DOI för High-dimensional online adaptive filtering

A closed loop stability condition of switched systems applied to NCSs with packet loss

Nygren, Johannes; Pelckmans, Kristiaan

Ingår i Proc. 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems, s. 8-13, 2015

• DOI för A closed loop stability condition of switched systems applied to NCSs with packet loss

Conditions for input-output stability of discrete-time Luré systems with time-varying delays

Nygren, Johannes; Pelckmans, Kristiaan

Ingår i Proc. 54th Conference on Decision and Control, s. 7707-7714, 2015

Nuclear Norms for System Identification: a direct input-output approach

Pelckmans, Kristiaan; Cubo, Rubén

Ingår i Proc. 17th IFAC Symposium on System Identification, s. 644-649, 2015

• DOI för Nuclear Norms for System Identification: a direct input-output approach

Stability analysis of an adaptively sampled controller for SISO systems with nonlinear feedback

Nygren, Johannes; Pelckmans, Kristiaan

Ingår i Proc. American Control Conference, s. 5353-5358, 2015

• DOI för Stability analysis of an adaptively sampled controller for SISO systems with nonlinear feedback
• Ladda ner fulltext (pdf) av Stability analysis of an adaptively sampled controller for SISO systems with nonlinear feedback

An adaptive compression algorithm in a deterministic world

Pelckmans, Kristiaan

Ingår i Algorithmic Probability and Friends, s. 299-305, 2013

• DOI för An adaptive compression algorithm in a deterministic world

Randomized gossip algorithms for achieving consensus on the majority vote

Pelckmans, Kristiaan

Ingår i Proc. 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

• Ladda ner fulltext (pdf) av Randomized gossip algorithms for achieving consensus on the majority vote

An ellipsoid based, two-stage screening test for BPDN

Dai, Liang; Pelckmans, Kristiaan

Ingår i Proc. 20th European Signal Processing Conference, s. 654-658, 2012

A cooperative decentralized PI control strategy: discrete-time analysis and nonlinear feedback

Nygren, Johannes; Pelckmans, Kristiaan

Ingår i Proc. 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems, s. 103-108, 2012

• Ladda ner fulltext (pdf) av A cooperative decentralized PI control strategy: discrete-time analysis and nonlinear feedback

An online algorithm for controlling a monotone Wiener system

Dai, Liang; Pelckmans, Kristiaan

Ingår i Proceedings of the 2012 24th Chinese Control and Decision Conference (CCDC), s. 1585-1590, 2012

• DOI för An online algorithm for controlling a monotone Wiener system

On the Convergence Analysis of the MINLIP Estimator

Pelckmans, Kristiaan; Dai, Liang; Bai, Er-Wei

Ingår i Proceedings of the 16th IFAC Symposium on System Identification, s. 482-487, 2012

• DOI för On the Convergence Analysis of the MINLIP Estimator

A simple recursive algorithm for learning a monotone Wiener system

Pelckmans, Kristiaan; Dai, Liang

Ingår i Proc. 50th Conference on Decision and Control, s. 3622-3627, 2011

• DOI för A simple recursive algorithm for learning a monotone Wiener system

Iterative Learning Control and Recursive Identification

Nygren, Johannes; Pelckmans, Kristiaan; Carlsson, Bengt

2010

• Ladda ner fulltext (pdf) av Iterative Learning Control and Recursive Identification

On the identification of monotone Wiener systems

Pelckmans, Kristiaan

Ingår i Proc. 49th Conference on Decision and Control, s. 7208-7213, 2010

• DOI för On the identification of monotone Wiener systems

On Robustness in Kernel Based Regression

De Brabanter, Kris; Karsmakers, Peter; De Brabanter, Jos; Pelckmans, Kristiaan et al.

2010

• Ladda ner fulltext (pdf) av On Robustness in Kernel Based Regression

Improved non-parametric sparse recovery with data matched penalties

Signoretto, Marco; Pelckmans, Kristiaan; De Lathauwer, Lieven; Suykens, Johan A. K.

Ingår i Proc. 2nd International Workshop on Cognitive Information Processing, s. 46-51, 2010

• DOI för Improved non-parametric sparse recovery with data matched penalties

Efficient adaptive filtering for smooth linear FIR models

Pelckmans, Kristiaan; van Waterschoot, Toon; Suykens, Johan A. K.

Ingår i Proc. 18th European Signal Processing Conference, s. 2136-2140, 2010

• Ladda ner fulltext (pdf) av Efficient adaptive filtering for smooth linear FIR models

On the use of a clinical kernel in survival analysis

Van Belle, Vanya; Pelckmans, Kristiaan; Suykens, Johan A. K.; Van Huffel, Sabine

Ingår i Proc. 18th European Symposium on Artificial Neural Networks, s. 451-456, 2010

On the stability and optimality of an output feedback control law

Nygren, Johannes; Pelckmans, Kristiaan

2014

Delay-independent stability criteria for networked control systems

Nygren, Johannes; Wigren, Torbjörn; Pelckmans, Kristiaan

2015

• Ladda ner fulltext (pdf) av Delay-independent stability criteria for networked control systems

LS-SVMlab Toolbox User's Guide: version 1.7

De Brabanter, Kris; Karsmakers, Peter; Ojeda, Fabian; Alzate, Carlos et al.

2010

• Ladda ner fulltext (pdf) av LS-SVMlab Toolbox User's Guide: version 1.7