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Johan Hagelbäck
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2020 – today
- 2020
- [j6]Koraljka Golub, Johan Hagelbäck, Anders Ardö:
Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches. J. Data Inf. Sci. 5(1): 18-38 (2020)
2010 – 2019
- 2019
- [j5]Petar Jercic, Johan Hagelbäck, Craig Lindley:
An affective serious game for collaboration between humans and robots. Entertain. Comput. 32 (2019) - [c17]Zenun Kastrati, Arianit Kurti, Johan Hagelbäck:
The Effect of a Flipped Classroom in a SPOC: Students' Perceptions and Attitudes. ICETC 2019: 246-249 - 2018
- [j4]Petar Jercic, Wei Wen, Johan Hagelbäck, Veronica Sundstedt:
The Effect of Emotions and Social Behavior on Performance in a Collaborative Serious Game Between Humans and Autonomous Robots. Int. J. Soc. Robotics 10(1): 115-129 (2018) - [c16]Koraljka Golub, Johan Hagelbäck, Anders Ardö:
Automatic Classification Using DDC on the Swedish Union Catalogue. NKOS@TPDL 2018: 4-16 - [c15]Shahnawaz Qureshi, Johan Hagelbäck, Syed Muhammad Zeeshan Iqbal, Hamad Javaid, Craig A. Lindley:
Evaluation of Classifiers for Emotion Detection While Performing Physical and Visual Tasks: Tower of Hanoi and IAPS. IntelliSys (1) 2018: 347-363 - [c14]Petar Jercic, Johan Hagelbäck, Craig Lindley:
Physiological Affect and Performance in a Collaborative Serious Game Between Humans and an Autonomous Robot. ICEC 2018: 127-138 - 2016
- [j3]Johan Hagelbäck:
Hybrid Pathfinding in StarCraft. IEEE Trans. Comput. Intell. AI Games 8(4): 319-324 (2016) - 2014
- [p1]Johan Hagelbäck, Olle Hilborn, Petar Jercic, Stefan J. Johansson, Craig A. Lindley, Johan Svensson, Wei Wen:
Psychophysiological Interaction and Empathic Cognition for Human-Robot Cooperative Work (PsyIntEC). Technology Transfer Experiments from the ECHORD Project 2014: 283-299 - 2013
- [j2]Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis, Corrado Grappiolo:
Controllable procedural map generation via multiobjective evolution. Genet. Program. Evolvable Mach. 14(2): 245-277 (2013) - [c13]Mike Preuss, Daniel Kozakowski, Johan Hagelbäck, Heike Trautmann:
Reactive strategy choice in StarCraft by means of Fuzzy Control. CIG 2013: 1-8 - [c12]Ahmad Tauseef Sohaib, Shahnawaz Qureshi, Johan Hagelbäck, Olle Hilborn, Petar Jercic:
Evaluating Classifiers for Emotion Recognition Using EEG. HCI (24) 2013: 492-501 - 2012
- [b1]Johan Hagelbäck:
Multi-Agent Potential Field Based Architectures for Real-Time Strategy Game Bots. Blekinge Institute of Technology, Sweden, 2012 - [c11]Johan Hagelbäck:
Potential-field based navigation in StarCraft. CIG 2012: 388-393 - 2010
- [c10]Johan Hagelbäck, Stefan J. Johansson, Mike Preuss:
AI and computational intelligence for real-time strategy games. CIG 2010: 1-4 - [c9]Johan Hagelbäck, Stefan J. Johansson:
A study on human like characteristics in real time strategy games. CIG 2010: 139-145 - [c8]Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis:
Multiobjective exploration of the StarCraft map space. CIG 2010: 265-272
2000 – 2009
- 2009
- [j1]Johan Hagelbäck, Stefan J. Johansson:
A Multiagent Potential Field-Based Bot for Real-Time Strategy Games. Int. J. Comput. Games Technol. 2009: 910819:1-910819:10 (2009) - [c7]Johan Hagelbäck, Stefan J. Johansson:
A Multi-Agent Potential Field-based Bot for a Full RTS Game Scenario. AIIDE 2009 - [c6]Johan Hagelbäck, Stefan J. Johansson:
Measuring player experience on runtime dynamic difficulty scaling in an RTS game. CIG 2009: 46-52 - 2008
- [c5]Johan Hagelbäck, Stefan J. Johansson:
The Rise of Potential Fields in Real Time Strategy Bots. AIIDE 2008 - [c4]Johan Hagelbäck, Stefan J. Johansson:
Using multi-agent potential fields in real-time strategy games. AAMAS (2) 2008: 631-638 - [c3]Johan Hagelbäck, Stefan J. Johansson:
Demonstration of multi-agent potential fields in real-time strategy games. AAMAS (Demos) 2008: 1687-1688 - [c2]Johan Hagelbäck, Stefan J. Johansson:
Dealing with fog of war in a Real Time Strategy game environment. CIG 2008: 55-62 - 2005
- [c1]Paul Davidsson, Johan Hagelbäck, Kenny Svensson:
Comparing approaches to predict transmembrane domains in protein sequences. SAC 2005: 185-189
Coauthor Index
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