Nonlinear Control System Design by Quantifier Elimination. - Mats Jirstrand (J. Symb. Comput., 1997)

Systems Biology Toolbox for MATLAB: a computational platform for research in systems biology. - Henning Schmidt; Mats Jirstrand (Bioinform., 2006)

Information Technology in Systems Biology (Informationstechnologien in der Systembiologie). - Henning Schmidt; Mats Jirstrand; Olaf Wolkenhauer (it Inf. Technol., 2006)

Evolutionary Search for Improved Path Diagrams. - Kim Laurio; Thomas Svensson; Mats Jirstrand; Patric Nilsson; Jonas Gamalielsson; Björn Olsson (EvoBIO, 2007)

Zooming of states and parameters using a lumping approach including back-translation. - Mikael Sunnåker; Henning Schmidt; Mats Jirstrand; Gunnar Cedersund (BMC Syst. Biol., 2010)

Optimal parameterization of posterior densities using homotopy. - Jonas Hagmar; Mats Jirstrand; Lennart Svensson; Mark R. Morelande (FUSION, 2011)

A method for zooming of nonlinear models of biochemical systems. - Mikael Sunnåker; Gunnar Cedersund; Mats Jirstrand (BMC Syst. Biol., 2011)

Optimal posterior density approximation for bearings-only tracking. - Mark R. Morelande; Lennart Svensson; Jonas Hagmar; Mats Jirstrand (ICASSP, 2012)

A continuous-time adaptive particle filter for estimations under measurement time uncertainties with an application to a plasma-leucine mixed effects model. - Annette Krengel; Jan Hauth; Marja-Riitta Taskinen; Martin Adiels; Mats Jirstrand (BMC Syst. Biol., 2013)

Comparison of approaches for parameter identifiability analysis of biological systems. - Andreas Raue; Johan Karlsson; Maria Pia Saccomani; Mats Jirstrand; Jens Timmer (Bioinform., 2014)

Maxsim2 - Real-time interactive simulations for computer-assisted teaching of pharmacokinetics and pharmacodynamics. - Johan Gabrielsson; Kristoffer Andersson 001; Gunnar Tobin; Carina Ingvast-Larsson; Mats Jirstrand (Comput. Methods Programs Biomed., 2014)

Contraction Clustering (Raster) - A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time. - Gregor Ulm; Emil Gustavsson; Mats Jirstrand (MOD, 2017)

A Performance Evaluation of Federated Learning Algorithms. - Adrian Nilsson; Simon Smith 005; Gregor Ulm; Emil Gustavsson; Mats Jirstrand (DIDL@Middleware, 2018)

Functional Federated Learning in Erlang (ffl-erl). - Gregor Ulm; Emil Gustavsson; Mats Jirstrand (WFLP, 2018)

Active-Code Replacement in the OODIDA Data Analytics Platform. - Gregor Ulm; Emil Gustavsson; Mats Jirstrand (Euro-Par Workshops, 2019)

Reinforcement Learning Informed by Optimal Control. - Magnus Önnheim; Pontus Andersson; Emil Gustavsson; Mats Jirstrand (ICANN (Workshop), 2019)

On Chow-Liu Forest Based Regularization of Deep Belief Networks. - Alex Sarishvili; Andreas Wirsen; Mats Jirstrand (ICANN (Workshop), 2019)

Architecture-Aware Bayesian Optimization for Neural Network Tuning. - Anders Sjöberg; Magnus Önnheim; Emil Gustavsson; Mats Jirstrand (ICANN (2), 2019)

Federated Learning of Deep Neural Decision Forests. - Anders Sjöberg; Emil Gustavsson; Ashok Chaitanya Koppisetty; Mats Jirstrand (LOD, 2019)

Three novel approaches to structural identifiability analysis in mixed-effects models. - David Janzén; Mats Jirstrand; Michael J. Chappell; Neil D. Evans (Comput. Methods Programs Biomed., 2019)

OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles. - Gregor Ulm; Emil Gustavsson; Mats Jirstrand (CoRR, 2019)

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. - Gregor Ulm; Simon Smith 005; Adrian Nilsson; Emil Gustavsson; Mats Jirstrand (CoRR, 2019)

Facilitating rapid prototyping in the distributed data analytics platform OODIDA via active-code replacement. - Gregor Ulm; Simon Smith 005; Adrian Nilsson; Emil Gustavsson; Mats Jirstrand (Array, 2020)

S-RASTER: contraction clustering for evolving data streams. - Gregor Ulm; Simon Smith 005; Adrian Nilsson; Emil Gustavsson; Mats Jirstrand (J. Big Data, 2020)

Natural language processing methods for knowledge management - Applying document clustering for fast search and grouping of engineering documents. - Ivar Örn Arnarsson; Otto Frost; Emil Gustavsson; Mats Jirstrand; Johan Malmqvist (Concurr. Eng. Res. Appl., 2021)

OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles. - Gregor Ulm; Simon Smith 005; Adrian Nilsson; Emil Gustavsson; Mats Jirstrand (Data Sci. Eng., 2021)

MCMC-Correction of Score-Based Diffusion Models for Model Composition. - Anders Sjöberg; Jakob Lindqvist; Magnus Önnheim; Mats Jirstrand; Lennart Svensson (CoRR, 2023)

The AutoSPADA platform: User-friendly edge computing for distributed learning and data analytics in connected vehicles. - Adrian Nilsson; Simon Smith 005; Jonas Hagmar; Magnus Önnheim; Mats Jirstrand (Internet Things, 2025)