Gunnar Mathiason

发表

The advanced analytics Jumpstart: definition, process model, best practices

Mikael Berndtsson, Jeremy Rose, Peter Larsson, 2017 .

Scalability and Virtual Full Replication: Research Plan

Gunnar Mathiason, G. Mathiason, 2004 .

Virtual Full Replication: Achieving Scalability in Distributed Real-Time Main-Memory Systems

Sten F. Andler, Gunnar Mathiason, 2003 .

Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design

Jonas Boström, Göran Falkman, Alexander Karlsson, 2019, J. Chem. Inf. Model..

Topic modeling for anomaly detection in telecommunication networks

Alexander Karlsson, H. Joe Steinhauer, Gunnar Mathiason, 2019, Journal of Ambient Intelligence and Humanized Computing.

A Simulation Approach for Evaluating Scalability of a Virtually Fully Replicated Real-time Database

Gunnar Mathiason, 2006 .

Virtual Full Replication for Wireless Sensor Networks

Sang Hyuk Son, Leo Selavo, Sten F. Andler, 2007 .

DeeDS NG : Architecture, Design, and Sample Application Scenario

Marcus Brohede, Sten F. Andler, Gunnar Mathiason, 2007 .

Virtual Full Replication by Static Segmentation for Multiple Properties of Data Objects

Sten F. Andler, Gunnar Mathiason, Daniel Jagszent, 2005 .

Real-time Communication Through a Distributed Resource Reservation Approach

Mehdi Amirijoo, Gunnar Mathiason, 2004 .

Anomaly Detection in Telecommunication Networks using Topic Models

Alexander Karlsson, H. Joe Steinhauer, Gunnar Mathiason, 2018 .

Virtual Full Replication for Wireless Sensor Networks : WiP session

Leo Selavo, Sten F. Andler, Gunnar Mathiason, 2007 .

Research Area: Scalability and Virtual Full Replication ARTES Research Planning Course 2004 Workshop 2 - Research and overview of related research

Gunnar Mathiason, G. Mathiason, 2004 .

Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data

Jonas Boström, Göran Falkman, Alexander Karlsson, 2018, J. Integr. Bioinform..

Using recurrent neural networks with attention for detecting problematic slab shapes in steel rolling

Göran Falkman, Alexander Karlsson, Gunnar Mathiason, 2019, Applied Mathematical Modelling.

Segmentation in a Distributed Real-Time Main-Memory Database

Gunnar Mathiason, G. Mathiason, 2002 .

Spatio-Temporal Awareness for Wireless Telecommunication Networks

H. Joe Steinhauer, Gunnar Mathiason, Tove Helldin, 2018, IJCAI 2018.

Using Reinforcement Learning for Generating Polynomial Models to Explain Complex Data

Gunnar Mathiason, Niclas Ståhl, Dellainey Alcacoas, 2021, SN Computer Science.

Utilising Data from Multiple Production Lines for Predictive Deep Learning Models

Gunnar Mathiason, Juhee Bae, Niclas Ståhl, 2021, DCAI.