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Mats Jirstrand
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2020 – today
- 2023
- [i8]Anders Sjöberg, Jakob Lindqvist, Magnus Önnheim, Mats Jirstrand, Lennart Svensson:
MCMC-Correction of Score-Based Diffusion Models for Model Composition. CoRR abs/2307.14012 (2023) - [i7]Adrian Nilsson, Simon Smith, Jonas Hagmar, Magnus Önnheim, Mats Jirstrand:
The AutoSPADA Platform: User-Friendly Edge Computing for Distributed Learning and Data Analytics in Connected Vehicles. CoRR abs/2311.17621 (2023) - 2021
- [j13]Ivar Örn Arnarsson, Otto Frost, Emil Gustavsson, Mats Jirstrand, Johan Malmqvist:
Natural language processing methods for knowledge management - Applying document clustering for fast search and grouping of engineering documents. Concurr. Eng. Res. Appl. 29(2) (2021) - [j12]Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand:
OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles. Data Sci. Eng. 6(1): 102-117 (2021) - 2020
- [j11]Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand:
Facilitating rapid prototyping in the distributed data analytics platform OODIDA via active-code replacement. Array 8: 100043 (2020) - [j10]Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand:
S-RASTER: contraction clustering for evolving data streams. J. Big Data 7(1): 62 (2020)
2010 – 2019
- 2019
- [j9]David Janzén, Mats Jirstrand, Michael J. Chappell, Neil D. Evans:
Three novel approaches to structural identifiability analysis in mixed-effects models. Comput. Methods Programs Biomed. 171: 141-152 (2019) - [c11]Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
Active-Code Replacement in the OODIDA Data Analytics Platform. Euro-Par Workshops 2019: 715-719 - [c10]Anders Sjöberg, Magnus Önnheim, Emil Gustavsson, Mats Jirstrand:
Architecture-Aware Bayesian Optimization for Neural Network Tuning. ICANN (2) 2019: 220-231 - [c9]Alex Sarishvili, Andreas Wirsen, Mats Jirstrand:
On Chow-Liu Forest Based Regularization of Deep Belief Networks. ICANN (Workshop) 2019: 353-364 - [c8]Magnus Önnheim, Pontus Andersson, Emil Gustavsson, Mats Jirstrand:
Reinforcement Learning Informed by Optimal Control. ICANN (Workshop) 2019: 403-407 - [c7]Anders Sjöberg, Emil Gustavsson, Ashok Chaitanya Koppisetty, Mats Jirstrand:
Federated Learning of Deep Neural Decision Forests. LOD 2019: 700-710 - [i6]Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles. CoRR abs/1902.00319 (2019) - [i5]Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
Active-Code Replacement in the OODIDA Data Analytics Platform. CoRR abs/1903.09477 (2019) - [i4]Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand:
Contraction Clustering (RASTER): A Very Fast Big Data Algorithm for Sequential and Parallel Density-Based Clustering in Linear Time, Constant Memory, and a Single Pass. CoRR abs/1907.03620 (2019) - [i3]Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
Active-Code Replacement in the OODIDA Data Analytics Platform. CoRR abs/1910.03575 (2019) - [i2]Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand:
S-RASTER: Contraction Clustering for Evolving Data Streams. CoRR abs/1911.09447 (2019) - 2018
- [c6]Adrian Nilsson, Simon Smith, Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
A Performance Evaluation of Federated Learning Algorithms. DIDL@Middleware 2018: 1-8 - [c5]Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
Functional Federated Learning in Erlang (ffl-erl). WFLP 2018: 162-178 - [i1]Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
Functional Federated Learning in Erlang (ffl-erl). CoRR abs/1808.08143 (2018) - 2017
- [c4]Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
Contraction Clustering (Raster) - A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time. MOD 2017: 63-75 - 2014
- [j8]Andreas Raue, Johan Karlsson, Maria Pia Saccomani, Mats Jirstrand, Jens Timmer:
Comparison of approaches for parameter identifiability analysis of biological systems. Bioinform. 30(10): 1440-1448 (2014) - [j7]Johan Gabrielsson, Kristoffer Andersson, Gunnar Tobin, Carina Ingvast-Larsson, Mats Jirstrand:
Maxsim2 - Real-time interactive simulations for computer-assisted teaching of pharmacokinetics and pharmacodynamics. Comput. Methods Programs Biomed. 113(3): 815-829 (2014) - 2013
- [j6]Annette Krengel, Jan Hauth, Marja-Riitta Taskinen, Martin Adiels, Mats Jirstrand:
A continuous-time adaptive particle filter for estimations under measurement time uncertainties with an application to a plasma-leucine mixed effects model. BMC Syst. Biol. 7: 8 (2013) - 2012
- [c3]Mark R. Morelande, Lennart Svensson, Jonas Hagmar, Mats Jirstrand:
Optimal posterior density approximation for bearings-only tracking. ICASSP 2012: 3585-3588 - 2011
- [j5]Mikael Sunnåker, Gunnar Cedersund, Mats Jirstrand:
A method for zooming of nonlinear models of biochemical systems. BMC Syst. Biol. 5: 140 (2011) - [c2]Jonas Hagmar, Mats Jirstrand, Lennart Svensson, Mark R. Morelande:
Optimal parameterization of posterior densities using homotopy. FUSION 2011: 1-8 - 2010
- [j4]Mikael Sunnåker, Henning Schmidt, Mats Jirstrand, Gunnar Cedersund:
Zooming of states and parameters using a lumping approach including back-translation. BMC Syst. Biol. 4: 28 (2010)
2000 – 2009
- 2007
- [c1]Kim Laurio, Thomas Svensson, Mats Jirstrand, Patric Nilsson, Jonas Gamalielsson, Björn Olsson:
Evolutionary Search for Improved Path Diagrams. EvoBIO 2007: 114-121 - 2006
- [j3]Henning Schmidt, Mats Jirstrand:
Systems Biology Toolbox for MATLAB: a computational platform for research in systems biology. Bioinform. 22(4): 514-515 (2006) - [j2]Henning Schmidt, Mats Jirstrand, Olaf Wolkenhauer:
Information Technology in Systems Biology (Informationstechnologien in der Systembiologie). it Inf. Technol. 48(3): 133-139 (2006)
1990 – 1999
- 1997
- [j1]Mats Jirstrand:
Nonlinear Control System Design by Quantifier Elimination. J. Symb. Comput. 24(2): 137-152 (1997)
Coauthor Index
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