Gunnar Mathiason
Title
Cited by
Cited by
Year
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
N Ståhl, G Falkman, A Karlsson, G Mathiason, J Bostrom
Journal of chemical information and modeling 59 (7), 3166-3176, 2019
572019
Virtual full replication by adaptive segmentation
G Mathiason, SF Andler, SH Son
13th IEEE International Conference on Embedded and Real-Time Computing …, 2007
222007
Virtual full replication: Achieving scalability in distributed real-time main-memory systems
G Mathiason, SF Andler
Proc. of the Work-in-Progress Session of the 15th Euromicro Conf. on Real …, 2003
192003
Segmentation in a Distributed Real-Time Main-Memory Database
G Mathiason
Institutionen för datavetenskap, 2002
172002
The advanced analytics Jumpstart: definition, process model, best practices
J Rose, M Berndtsson, G Mathiason, P Larsson
JISTEM-Journal of Information Systems and Technology Management 14, 339-360, 2017
122017
DeeDS NG: Architecture, design, and sample application scenario
SF Andler, M Brohede, S Gustavsson, G Mathiason
Handbook of Real-Time and Embedded Systems, 539-560, 2007
112007
Using recurrent neural networks with attention for detecting problematic slab shapes in steel rolling
N Ståhl, G Mathiason, G Falkman, A Karlsson
Applied Mathematical Modelling 70, 365-377, 2019
102019
Using machine learning for robust target prediction in a Basic Oxygen Furnace system
J Bae, Y Li, N Ståhl, G Mathiason, N Kojola
Metallurgical and Materials Transactions B 51, 1632-1645, 2020
82020
Evaluation of uncertainty quantification in deep learning
N Ståhl, G Falkman, A Karlsson, G Mathiason
International Conference on Information Processing and Management of …, 2020
72020
Virtual full replication by static segmentation for multiple properties of data objects
G Mathiason, SF Andler, D Jagszent
Proc. of RTIS 2005, 11-18, 2005
72005
Virtual full replication for scalable and adaptive real-time communication in wireless sensor networks
G Mathiason, SF Andler, SH Son
2008 Second International Conference on Sensor Technologies and Applications …, 2008
62008
Topic modeling for anomaly detection in telecommunication networks
HJ Steinhauer, T Helldin, G Mathiason, A Karlsson
Journal of Ambient Intelligence and Humanized Computing, 1-12, 2019
52019
Deep convolutional neural networks for the prediction of molecular properties: challenges and opportunities connected to the data
N Ståhl, G Falkman, A Karlsson, G Mathiason, J Boström
Journal of integrative bioinformatics 16 (1), 2019
52019
A Cyberphysical Learning Approach for Digital Smart Citizenship Competence Development
Y Atif, S Stylianos, S Demetrios, G Mathiason
International World Wide Web Conference, Perth, Australia, 2017
52017
A self-organizing ensemble of deep neural networks for the classification of data from complex processes
N Ståhl, G Falkman, G Mathiason, A Karlsson
International Conference on Information Processing and Management of …, 2018
42018
Situation awareness in telecommunication networks using topic modeling
T Helldin, HJ Steinhauer, A Karlsson, G Mathiason
2018 21st International Conference on Information Fusion (FUSION), 549-556, 2018
32018
Topic modeling for situation understanding in telecommunication networks
HJ Steinhauer, T Helldin, A Karlsson, G Mathiason
2017 27th International Telecommunication Networks and Applications …, 2017
32017
Root-Cause Localization using Restricted Boltzmann Machines
HJ Steinhauer, A Karlssson, G Mathiason, T Helldin
19th International Conference on Information Fusion Proceedings, IEEE …, 2016
32016
Virtual Full Replication for Scalable Distributed Real-Time Databases
G Mathiason
Institutionen för datavetenskap, 2009
32009
Short Text Topic Modeling to Identify Trends on Wearable Bio-Sensors in Different Media Type
J Bae, J Havsol, M Karpefors, A Karlsson, G Mathiason
2018 6th International Symposium on Computational and Business Intelligence …, 2018
22018
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Articles 1–20