Emil Gustavsson

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 20

Top Topics

Convex Programming

Mixed Integer Linear Programming

Top Venues

DIDL@Middleware

EURO J. Transp. Logist.

Publications

Marvin Jung, Paulo Renato da Costa Mendes, Magnus Önnheim, Emil Gustavsson
Model Predictive Control when utilizing LSTM as dynamic models. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
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) (2021)
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)
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 (2020)
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
S-RASTER: contraction clustering for evolving data streams. J. Big Data 7 (1) (2020)
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles. CoRR (2019)
Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
S-RASTER: Contraction Clustering for Evolving Data Streams. CoRR (2019)
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
Active-Code Replacement in the OODIDA Data Analytics Platform. CoRR (2019)
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 (2019)
Magnus Önnheim, Pontus Andersson, Emil Gustavsson, Mats Jirstrand
Reinforcement Learning Informed by Optimal Control. ICANN (Workshop) (2019)
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
Active-Code Replacement in the OODIDA Data Analytics Platform. Euro-Par Workshops (2019)
Anders Sjöberg, Magnus Önnheim, Emil Gustavsson, Mats Jirstrand
Architecture-Aware Bayesian Optimization for Neural Network Tuning. ICANN (2) (2019)
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
Active-Code Replacement in the OODIDA Data Analytics Platform. CoRR (2019)
Anders Sjöberg, Emil Gustavsson, Ashok Chaitanya Koppisetty, Mats Jirstrand
Federated Learning of Deep Neural Decision Forests. LOD (2019)
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
Functional Federated Learning in Erlang (ffl-erl). WFLP (2018)
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
Functional Federated Learning in Erlang (ffl-erl). CoRR (2018)
Adrian Nilsson, Simon Smith, Gregor Ulm, Emil Gustavsson, Mats Jirstrand
A Performance Evaluation of Federated Learning Algorithms. DIDL@Middleware (2018)
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)
Magnus Önnheim, Emil Gustavsson, Ann-Brith Strömberg, Michael Patriksson, Torbjörn Larsson
Ergodic, primal convergence in dual subgradient schemes for convex programming, II: the case of inconsistent primal problems. Math. Program. 163 (1-2) (2017)
Emilio Jorge, Mikael Kågebäck, Emil Gustavsson
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence. CoRR (2016)
Emil Gustavsson
Scheduling tamping operations on railway tracks using mixed integer linear programming. EURO J. Transp. Logist. 4 (1) (2015)
Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg
Primal convergence from dual subgradient methods for convex optimization. Math. Program. 150 (2) (2015)
Emil Gustavsson, Michael Patriksson, Ann-Brith Strömberg, Adam Wojciechowski, Magnus Önnheim
Preventive maintenance scheduling of multi-component systems with interval costs. Comput. Ind. Eng. 76 (2014)