Emil Gustavsson

According to our database, Emil Gustavsson authored at least 19 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Model Predictive Control when utilizing LSTM as dynamic models.

Marvin Jung, Paulo Renato da Costa Mendes, Magnus Önnheim, Emil Gustavsson

Eng. Appl. Artif. Intell., 2023

2021

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

Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand

Data Sci. Eng., 2021

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

2020

S-RASTER: contraction clustering for evolving data streams.

Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand

J. Big Data, 2020

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

Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand

Array, 2020

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, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand

CoRR, 2019

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

Gregor Ulm, Emil Gustavsson, Mats Jirstrand

CoRR, 2019

Federated Learning of Deep Neural Decision Forests.

Anders Sjöberg, Emil Gustavsson, Ashok Chaitanya Koppisetty, Mats Jirstrand

Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Architecture-Aware Bayesian Optimization for Neural Network Tuning.

Anders Sjöberg, Magnus Önnheim, Emil Gustavsson, Mats Jirstrand

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Reinforcement Learning Informed by Optimal Control.

Magnus Önnheim, Pontus Andersson, Emil Gustavsson, Mats Jirstrand

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Active-Code Replacement in the OODIDA Data Analytics Platform.

Gregor Ulm, Emil Gustavsson, Mats Jirstrand

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

2018

Functional Federated Learning in Erlang (ffl-erl).

Gregor Ulm, Emil Gustavsson, Mats Jirstrand

Proceedings of the Functional and Constraint Logic Programming, 2018

A Performance Evaluation of Federated Learning Algorithms.

Adrian Nilsson, Simon Smith, Gregor Ulm, Emil Gustavsson, Mats Jirstrand

Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning, 2018

2017

Ergodic, primal convergence in dual subgradient schemes for convex programming, II: the case of inconsistent primal problems.

Magnus Önnheim, Emil Gustavsson, Ann-Brith Strömberg, Michael Patriksson, Torbjörn Larsson

Math. Program., 2017

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

Gregor Ulm, Emil Gustavsson, Mats Jirstrand

Proceedings of the Machine Learning, Optimization, and Big Data, 2017

2016

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

Emilio Jorge, Mikael Kågebäck, Emil Gustavsson

CoRR, 2016

2015

Primal convergence from dual subgradient methods for convex optimization.

Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg

Math. Program., 2015

Scheduling tamping operations on railway tracks using mixed integer linear programming.

Emil Gustavsson

EURO J. Transp. Logist., 2015

2014

Preventive maintenance scheduling of multi-component systems with interval costs.

Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg, Adam Wojciechowski, Magnus Önnheim

Comput. Ind. Eng., 2014