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Roland Olsson 0001
Person information
- affiliation: University of Oslo, Department of Informatics, Norway
- affiliation: Østfold University College, Department of Computer Science and Communication, Halden, Norway
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2020 – today
- 2023
- [j6]Lars Vidar Magnusson
, J. Roland Olsson
Recurrent Neural Networks for Oil Well Event Prediction. IEEE Intell. Syst. 38(2): 73-80 (2023) - [c21]Hoa Thi Nguyen, Øystein Haugen, Roland Olsson:
Imitation Learning from Operator Experiences for a Real time CNC Machine Controller. INDIN 2023: 1-8 - 2022
- [c20]Roland Olsson
Using Automatic Programming to Improve Gradient Boosting for Classification. ICAISC (1) 2022: 242-253 - [i3]Roland Olsson, Chau Thi Thuy Tran, Lars Vidar Magnusson:
Automatic Synthesis of Neurons for Recurrent Neural Nets. CoRR abs/2207.03577 (2022)
2010 – 2019
- 2019
- [c19]Marius Geitle, Roland Olsson:
A New Baseline for Automated Hyper-Parameter Optimization. LOD 2019: 521-530 - 2017
- [c18]The-Hien Dang-Ha, Davide Roverso, Roland Olsson:
Graph of virtual actors (GOVA): A Big Data analytics architecture for IoT. BigComp 2017: 162-169 - [c17]Marius Geitle, Roland Olsson:
Improving competitive differential evolution using automatic programming. ICSAI 2017: 538-545 - [c16]The-Hien Dang-Ha, Filippo Maria Bianchi, Roland Olsson:
Local short term electricity load forecasting: Automatic approaches. IJCNN 2017: 4267-4274 - [c15]Ole Magnus Brastein, Roland Olsson, Nils-Olav Skeie, Thomas Lindblad:
Human Activity Recognition by machine learning methods. NIK 2017 - [i2]The-Hien Dang-Ha, Roland Olsson, Hao Wang:
The Role of Big Data on Smart Grid Transition. CoRR abs/1703.02497 (2017) - [i1]The-Hien Dang-Ha, Davide Roverso, Roland Olsson:
Graph of Virtual Actors (GOVA): a Big Data Analytics Architecture for IoT. CoRR abs/1703.02510 (2017) - 2016
- [c14]Lars Vidar Magnusson, Roland Olsson:
Improving the Canny Edge Detector Using Automatic Programming: Improving Non-Max Suppression. GECCO 2016: 461-468 - [c13]The-Hien Dang-Ha, Roland Olsson, Hao Wang:
Clustering Methods for Electricity Consumers: An Empirical Study in Hvaler - Norway. NIK 2016 - [c12]Lars Vidar Magnusson, Roland Olsson:
Improving the Canny Edge Detector Using Automatic Programming: Improving Hysteresis Thresholding. NIK 2016 - 2015
- [c11]The-Hien Dang-Ha, Roland Olsson, Hao Wang
The Role of Big Data on Smart Grid Transition. SmartCity 2015: 33-39 - 2014
- [c10]Lars Vidar Magnusson, Roland Olsson:
Improving Graph-Based Image Segmentation Using Automatic Programming. EvoApplications 2014: 464-475 - [c9]Kristin Larsen, Lars Vidar Magnusson, Roland Olsson:
Edge Pixel Classification Using Automatic Programming. NIK 2014 - 2013
- [j5]Roland Olsson, Arne Løkketangen:
Using automatic programming to generate state-of-the-art algorithms for random 3-SAT. J. Heuristics 19(5): 819-844 (2013) - 2012
- [c8]Huyen Vu, Roland Olsson:
Automatic Improvement of Graph Based Image Segmentation. ISVC (2) 2012: 578-587 - 2010
- [j4]Arne Løkketangen, Roland Olsson:
Generating meta-heuristic optimization code using ADATE. J. Heuristics 16(6): 911-930 (2010)
2000 – 2009
- 2009
- [c7]Henrik Berg, Roland Olsson, Per-Olav Rusås, Morgan Jakobsen:
Synthesis of Control Algorithms for Autonomous Vehicles through Automatic Programming. ICNC (4) 2009: 445-453 - [c6]José Chilo, György Horvath, Thomas Lindblad, Roland Olsson:
Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning Algorithms. ICDM 2009: 13-23 - [c5]Henrik Berg, Roland Olsson, Per-Olav Rusås, Morgan Jakobsen:
Automated synthesis of control algorithms from first principles. IROS 2009: 2958-2965 - 2008
- [j3]Henrik Berg, Roland Olsson, Thomas Lindblad, José Chilo:
Automatic design of pulse coupled neurons for image segmentation. Neurocomputing 71(10-12): 1980-1993 (2008) - 2007
- [c4]Roland Olsson:
Automatic Design of Algorithms through Evolution (ADATE). AAIP 2007: 1 - 2005
- [c3]Henrik Berg, Roland Olsson:
Improving the Scalability of Automatic Programming. CIS (1) 2005: 17-24 - [e1]Emanuel Kitzelmann, Roland Olsson, Ute Schmid:
Workshop on Approaches and Applications of Inductive Programming, AAIP 2005, to be held in conjunction with the 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 7, 2005. 2005 [contents]
1990 – 1999
- 1999
- [c2]Roland Olsson:
How to Invent Functions. EuroGP 1999: 232-243 - 1995
- [j2]Roland Olsson:
Inductive Functional Programming Using Incremental Program Transformation. Artif. Intell. 74(1): 55-8 (1995) - 1993
- [j1]Roland Olsson:
Execution of Logic Programs by Iterative Deepening A* SLD-Tree Search. BIT 33(2): 214-231 (1993) - 1991
- [c1]Roland Olsson:
Some Algorithms for Fast and Complete Execution of Logic Programs. Declarative Programming 1991: 204-223
Coauthor Index
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