Kristiaan Pelckmans
Forskare vid Institutionen för fysik och astronomi; FREIA
- Telefon:
- 070-875 05 95
- Mobiltelefon:
- 070-875 05 95
- E-post:
- kristiaan.pelckmans@physics.uu.se
- Besöksadress:
- Ångströmlaboratoriet, Lägerhyddsvägen 1
- Postadress:
- Box 516
751 20 Uppsala
Ladda ned kontaktuppgifter för Kristiaan Pelckmans vid Institutionen för fysik och astronomi; FREIA
- CV:
- Ladda ned CV
Nyckelord
- machine learning
- automatic control
- system identification
Publikationer
Senaste publikationer
Ingår i 2025 19TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP, 2025
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
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
Ingår i JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING, JSSPP 2021, s. 126-148, 2021
ASA: The Adaptive Scheduling Architecture
Ingår i HPDC '20, s. 161-165, 2020
Alla publikationer
Artiklar i tidskrift
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
Ingår i Universe, 2022
- DOI för Launching the VASCO Citizen Science Project
- Ladda ner fulltext (pdf) av Launching the VASCO Citizen Science Project
Ingår i Astronomical Journal, 2020
Rapid evolution of coordinated and collective movement in response to artificial selection
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
Ingår i IEEE Intelligent Systems, s. 36-42, 2020
Ingår i Monthly notices of the Royal Astronomical Society, s. 5277-5286, 2020
Frequency conditions for stable networked controllers with time-delay
Ingår i International Journal of Control, s. 886-895, 2019
Assortative interactions revealed by sorting of animal groups
Ingår i Animal Behaviour, s. 165-179, 2018
Brain size does not impact shoaling dynamics in unfamiliar groups of guppies (Poecilia reticulata)
Ingår i Behavioural Processes, s. 13-20, 2018
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
Ingår i Automatica, s. 337-341, 2018
Worst-case prediction performance analysis of the Kalman filter
Ingår i IEEE Transactions on Automatic Control, s. 1768-1775, 2018
Ingår i Methods in Ecology and Evolution, s. 1735-1744, 2017
Tensor decompositions for the analysis of atomic resolution electron energy loss spectra
Ingår i Ultramicroscopy, s. 36-45, 2017
Analysis of electron energy loss spectroscopy data using geometric extraction methods
Ingår i Ultramicroscopy, s. 14-26, 2017
Unmixing hyperspectral data by using signal subspace sampling
Ingår i Ultramicroscopy, s. 205-211, 2017
Evolution of brain region volumes during artificial selection for relative brain size
Ingår i Evolution, s. 2942-2951, 2017
Ingår i Astrophysical Journal, 2016
A direct proof of the discrete-time multivariate circle and Tsypkin criteria
Ingår i IEEE Transactions on Automatic Control, s. 544-549, 2016
System components of a general theory of software engineering
Ingår i Science of Computer Programming, s. 42-65, 2015
On the nuclear norm heuristic for a Hankel matrix completion problem
Ingår i Automatica, s. 268-272, 2015
Identifiability and convergence analysis of the MINLIP estimator
Ingår i Automatica, s. 104-110, 2015
On the randomized Kaczmarz algorithm
Ingår i IEEE Signal Processing Letters, s. 330-333, 2014
Approximate adjoint-based iterative learning control
Ingår i International Journal of Control, s. 1028-1046, 2014
Asymmetric nu-tube support vector regression
Ingår i Computational Statistics & Data Analysis, s. 371-382, 2014
Sparse estimation from noisy observations of an overdetermined linear system
Ingår i Automatica, s. 2845-2851, 2014
Least-Squares Support Vector Machines for the identification of Wiener-Hammerstein systems
Ingår i Control Engineering Practice, s. 1165-1174, 2012
Improved performance on high-dimensional survival data by application of Survival-SVM
Ingår i Bioinformatics, s. 87-94, 2011
Learning transformation models for ranking and survival analysis
Ingår i Journal of machine learning research, s. 819-862, 2011
MINLIP for the identification of monotone Wiener systems
Ingår i Automatica, s. 2298-2305, 2011
Support vector methods for survival analysis: a comparison between ranking and regression approaches
Ingår i Artificial Intelligence in Medicine, s. 107-118, 2011
Sparse conjugate directions pursuit with application to fixed-size kernel models
Ingår i Machine Learning, s. 109-148, 2011
Primal and dual model representations in kernel-based learning
Ingår i Statistics Surveys, s. 148-183, 2010
Linear Systems, Sparse Solutions, and Sudoku
Ingår i IEEE Signal Processing Letters, s. 40-42, 2010
Additive survival least-squares support vector machines
Ingår i Statistics in Medicine, s. 296-308, 2010
Least conservative support and tolerance tubes
Ingår i IEEE Transactions on Information Theory, s. 3799-3806, 2009
Kapitel i böcker, delar av antologi
NARX identification of Hammerstein systems using least-squares support vector machines
Ingår i Block-oriented Nonlinear System Identification, s. 241-258, Springer-Verlag, 2010
Konferensbidrag
Ingår i 2025 19TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP, 2025
A HPC Co-scheduler with Reinforcement Learning
Ingår i JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING, JSSPP 2021, s. 126-148, 2021
ASA: The Adaptive Scheduling Architecture
Ingår i HPDC '20, s. 161-165, 2020
APTER: Aggregated Prognosis Through Exponential Re-weighting
Ingår i Computing and Combinatorics, s. 425-436, 2019
Constraining Lyman continuum escape using Machine Learning
Ingår i Peering towards Cosmic Dawn, s. 254-258, 2018
High-dimensional online adaptive filtering
s. 14106-14111, 2017
Conditions for input-output stability of discrete-time Luré systems with time-varying delays
Ingår i Proc. 54th Conference on Decision and Control, s. 7707-7714, 2015
Nuclear Norms for System Identification: a direct input-output approach
Ingår i Proc. 17th IFAC Symposium on System Identification, s. 644-649, 2015
Stability analysis of an adaptively sampled controller for SISO systems with nonlinear feedback
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
A closed loop stability condition of switched systems applied to NCSs with packet loss
Ingår i Proc. 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2015
An adaptive compression algorithm in a deterministic world
Ingår i Algorithmic Probability and Friends, s. 299-305, 2013
Randomized gossip algorithms for achieving consensus on the majority vote
Ingår i Proc. 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013
An ellipsoid based, two-stage screening test for BPDN
Ingår i Proc. 20th European Signal Processing Conference, s. 654-658, 2012
A cooperative decentralized PI control strategy: discrete-time analysis and nonlinear feedback
Ingår i Proc. 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems, s. 103-108, 2012
An online algorithm for controlling a monotone Wiener system
Ingår i Proceedings of the 2012 24th Chinese Control and Decision Conference (CCDC), s. 1585-1590, 2012
On the Convergence Analysis of the MINLIP Estimator
Ingår i Proceedings of the 16th IFAC Symposium on System Identification, s. 482-487, 2012
A simple recursive algorithm for learning a monotone Wiener system
Ingår i Proc. 50th Conference on Decision and Control, s. 3622-3627, 2011
Iterative Learning Control and Recursive Identification
2010
On the identification of monotone Wiener systems
Ingår i Proc. 49th Conference on Decision and Control, s. 7208-7213, 2010
Improved non-parametric sparse recovery with data matched penalties
Ingår i Proc. 2nd International Workshop on Cognitive Information Processing, s. 46-51, 2010
On Robustness in Kernel Based Regression
2010
Efficient adaptive filtering for smooth linear FIR models
Ingår i Proc. 18th European Signal Processing Conference, s. 2136-2140, 2010
On the use of a clinical kernel in survival analysis
Ingår i Proc. 18th European Symposium on Artificial Neural Networks, s. 451-456, 2010