Emil Gustavsson

发表

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 pdf

Mats Jirstrand, Simon Smith, Gregor Ulm, 2019, ArXiv.

Facilitating Rapid Prototyping in the OODIDA Data Analytics Platform via Active-Code Replacement.

Mats Jirstrand, Simon Smith, Gregor Ulm, 2019 .

Active-Code Replacement in the OODIDA Data Analytics Platform

Mats Jirstrand, Gregor Ulm, Emil Gustavsson, 2019, Euro-Par Workshops.

Design analytics is the answer, but what questions would product developers like to have answered?

Johan Malmqvist, Mats Jirstrand, Emil Gustavsson, 2017 .

Metodutveckling för analys av etylenglykoler i vattenprov med gaskromatografi

Emil Gustavsson, 2011 .

Konstruktion av testutrustning för tätningar

Emil Gustavsson, 2015 .

Primal convergence from dual subgradient methods for convex optimization

Michael Patriksson, Emil Gustavsson, Ann-Brith Strömberg, 2015, Math. Program..

Modeling industrial engineering change processes using the design structure matrix for sequence analysis: a comparison of multiple projects

Johan Malmqvist, Mats Jirstrand, Emil Gustavsson, 2020 .

Preventive maintenance scheduling of multi-component systems with interval costs

Michael Patriksson, Adam Wojciechowski, Emil Gustavsson, 2014, Comput. Ind. Eng..

Functional Federated Learning in Erlang (ffl-erl) pdf

Mats Jirstrand, Gregor Ulm, Emil Gustavsson, 2018, WFLP.

Maintenance optimization in stochastic multicomponent systems: A dynamic programming approach

Emil Gustavsson, 2010 .

Facilitating rapid prototyping in the distributed data analytics platform OODIDA via active-code replacement

Mats Jirstrand, Gregor Ulm, Adrian Nilsson, 2020, Array.

ANALYSIS OF ENGINEERING CHANGE REQUESTS USING MARKOV CHAINS

Johan Malmqvist, Emil Gustavsson, Ívar Örn Arnarsson, 2018 .

Supporting Knowledge Re-Use with Effective Searches of Related Engineering Documents - A Comparison of Search Engine and Natural Language Processing-Based Algorithms

Johan Malmqvist, Mats Jirstrand, Daniel Stenholm, 2019, Proceedings of the Design Society: International Conference on Engineering Design.

An Introduction to Continuous Optimization, 3rd edition

Michael Patriksson, Kin Cheong Sou, Emil Gustavsson, 2016 .

Reinforcement Learning Informed by Optimal Control

Mats Jirstrand, Emil Gustavsson, Pontus Andersson, 2019, ICANN.

Scheduling tamping operations on railway tracks using mixed integer linear programming

Emil Gustavsson, E. Gustavsson, 2015, EURO J. Transp. Logist..

Ergodic, primal convergence in dual subgradient schemes for convex programming

Torbjörn Larsson, Michael Patriksson, Emil Gustavsson, 1999, Math. Program..

Contributions to dual subgradient optimization and maintenance scheduling

Emil Gustavsson, 2013 .

S-RASTER: contraction clustering for evolving data streams

Mats Jirstrand, Gregor Ulm, Adrian Nilsson, 2019, Journal of Big Data.

Towards Big-Data Analysis of Deviation and Error Reports in Product Development Projects

Johan Malmqvist, Mats Jirstrand, Emil Gustavsson, 2016 .

A Performance Evaluation of Federated Learning Algorithms

Mats Jirstrand, Gregor Ulm, Adrian Nilsson, 2018, DIDL@Middleware.

Reinforcement learning in real-time geometry assurance

Bengt Lennartson, Kristofer Bengtsson, Mats Jirstrand, 2018, Procedia CIRP.

Root cause analysis of failures and quality deviations in manufacturing using machine learning

Mats Jirstrand, Emil Gustavsson, Anna Lokrantz, 2018 .

Purely Functional Federated Learning in Erlang

Mats Jirstrand, Gregor Ulm, Emil Gustavsson, 2017 .

Preventive maintenance scheduling of multi-component systems with deterioration costs

Adam Wojciechowski, Emil Gustavsson, Ann-Brith Strömberg, 2012 .

Contraction Clustering (Raster) - A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time

Mats Jirstrand, Gregor Ulm, Emil Gustavsson, 2017, MOD.

OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles

Mats Jirstrand, Gregor Ulm, Adrian Nilsson, 2019 .

Multi-objective constrained Bayesian optimization for structural design

Rasmus Rempling, Mats Jirstrand, Emil Gustavsson, 2020, Structural and Multidisciplinary Optimization.

Federated Learning of Deep Neural Decision Forests

Emil Gustavsson, Ashok Chaitanya Koppisetty, Anders Sjöberg, 2019, LOD.

The preventive maintenance scheduling problem with interval costs

Adam Wojciechowski, Emil Gustavsson, Ann-Brith Strömberg, 2012 .

OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles pdf

Mats Jirstrand, Gregor Ulm, Emil Gustavsson, 2019, ArXiv.

Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence pdf

Emil Gustavsson, Mikael Kågebäck, Emilio Jorge, 2016, ArXiv.

Architecture-Aware Bayesian Optimization for Neural Network Tuning

Mats Jirstrand, Emil Gustavsson, Magnus Önnheim, 2019, ICANN.

Introduction to Continuous Optimization

Michael Patriksson, Emil Gustavsson, Niclas Andréasson, 2013 .

Functional Federated Learning in Erlang

Mats Jirstrand, Gregor Ulm, Emil Gustavsson, 2017 .