| 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 | 201 | 2019 |
| Evaluation of uncertainty quantification in deep learning N Ståhl, G Falkman, A Karlsson, G Mathiason International Conference on Information Processing and Management of …, 2020 | 54 | 2020 |
| 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 | 38 | 2020 |
| 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 | 37 | 2019 |
| Virtual full replication by adaptive segmentation G Mathiason, SF Andler, SH Son 13th IEEE International Conference on Embedded and Real-Time Computing …, 2007 | 23 | 2007 |
| Virtual full replication: Achieving scalability in distributed real-time main-memory systems G Mathiason, SF Andler Proc. 15th ECRTS (WiP), 33-36, 2003 | 19 | 2003 |
| 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 (3), 339-360, 2017 | 18 | 2017 |
| Segmentation in a Distributed Real-Time Main-Memory Database G Mathiason Institutionen för datavetenskap, 2002 | 18 | 2002 |
| 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), 20180065, 2019 | 17 | 2019 |
| 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 | 11 | 2007 |
| Root-Cause Localization using Restricted Boltzmann Machines HJ Steinhauer, A Karlssson, G Mathiason, T Helldin 19th International Conference on Information Fusion Proceedings, IEEE …, 2016 | 10 | 2016 |
| 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, 2023 | 9 | 2023 |
| 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 | 9 | 2017 |
| 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 | 8 | 2005 |
| 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 | 7 | 2008 |
| 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 | 6 | 2018 |
| A self-organizing ensemble of deep neural networks for the classification of data from complex processes N Ståhl, G Falkman, G Mathiason, A Karlsson Information Processing and Management of Uncertainty in Knowledge-Based …, 2018 | 5 | 2018 |
| 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 | 4 | 2018 |
| Using reinforcement learning for generating polynomial models to explain complex data N Ståhl, G Mathiason, D Alcacoas SN Computer Science 2 (2), 103, 2021 | 3 | 2021 |
| Evaluation of the Dirichlet process multinomial mixture model for short-text topic modeling A Karlsson, D Duarte, G Mathiason, J Bae 2018 6th International Symposium on Computational and Business Intelligence …, 2018 | 3 | 2018 |
Niclas StåhlJönköping UniversityVerifierad e-postadress på ju.se
