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Kalle Saastamoinen
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2020 – today
- 2024
- [c17]Lauri Vasankari, Kalle Saastamoinen:
Strategizing the Shallows: Leveraging Multi-Agent Reinforcement Learning for Enhanced Tactical Decision-Making in Littoral Naval Warfare. AIAI (2) 2024: 129-141 - 2023
- [c16]Tuomas Hongisto, Kalle Saastamoinen:
Using Excel based war simulator to support tactical wargaming. KES 2023: 912-921 - 2021
- [c15]Kalle Saastamoinen, Kasper Maunula:
Usefulness of flight simulator as a part of military pilots training - case study: Grob G 115E. KES 2021: 1670-1676 - [c14]Kalle Saastamoinen, Sari Penttinen:
Visual seabed classification using k-means clustering, CIELAB colors and Gabor-filters. KES 2021: 2471-2478 - 2020
- [c13]Kalle Saastamoinen, Tuomas Taipale:
Short study of unmanned cargo multicopters with simulation. KES 2020: 3217-3224
2010 – 2019
- 2019
- [c12]Kalle Saastamoinen, Antti Rissanen, Riku Linnervuo:
Usage of simulators to boost marine corps learning. KES 2019: 1011-1018 - [c11]Kalle Saastamoinen:
Comparison measures and their usage with examples. KES 2019: 1027-1034 - [c10]Kalle Saastamoinen, Antti Rissanen:
Simulation course - A little bit something for everybody? KES 2019: 1229-1237 - 2018
- [c9]Kalle Saastamoinen, Antti Rissanen:
Behind the benefits of using an automated exercise creation system. KES 2018: 1023-1028 - 2017
- [c8]Kalle Saastamoinen:
Linguistic Data Classification with Combined Comparison Measures. KES 2017: 333-339 - 2016
- [c7]Kalle Saastamoinen:
On Classification of Linguistic Data - Case Study: Post-operative. KES-IDT (1) 2016: 51-61
2000 – 2009
- 2006
- [p1]Kalle Saastamoinen:
Many Valued Algebraic Structures as the Measures for Comparison. Integrated Intelligent Systems for Engineering Design 2006: 23-42 - 2005
- [j1]Kalle Saastamoinen, Jaakko Ketola:
Fuzzy Logic and Differential Evolution Based Expert System for Defining Top Athlete's Aerobic and Anaerobic Thresholds. J. Adv. Comput. Intell. Intell. Informatics 9(5): 534-539 (2005) - 2004
- [c6]Kalle Saastamoinen, Jaakko Ketola, Esko Turunen:
Defining athlete's anaerobic and aerobic thresholds by using similarity measures and differential evolution. SMC (2) 2004: 1331-1335 - 2003
- [c5]Pasi Luukka, Kalle Saastamoinen:
Fuzzy similarity based classification in normal Lukasiewicz algebra with geometric and harmonic mean. EUSFLAT Conf. 2003: 242-245 - [c4]Kalle Saastamoinen, Pasi Luukka:
Comparison of the use of different similarities based on T-norms in the classification tasks. EUSFLAT Conf. 2003: 246-247 - [c3]Kalle Saastamoinen, Pasi Luukka:
Testing continuous t-norm called Lukasiewicz algebra with different means in classification. FUZZ-IEEE 2003: 808-813 - 2002
- [c2]Kalle Saastamoinen, Ville Könönen, Pasi Luukka:
A classifier based on the fuzzy similarity in the Lukasiewicz structure with different metrics. FUZZ-IEEE 2002: 363-367 - 2001
- [c1]Pasi Luukka
, Kalle Saastamoinen, Ville Könönen:
A Classifier Based on the Maximal Fuzzy Similarity in the Generalized Lukasiewicz-Structure. FUZZ-IEEE 2001: 195-198
Coauthor Index
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last updated on 2024-06-25 21:01 CEST by the dblp team
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