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Kunihito Yamamori
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2020 – today
- 2020
- [c16]Thae Ma Ma, Kunihito Yamamori, Aye Thida:
A Comparative Approach to Naïve Bayes Classifier and Support Vector Machine for Email Spam Classification. GCCE 2020: 324-326
2010 – 2019
- 2019
- [j15]Qinlian Ma, Yu-an Zhang, Kunihito Yamamori, Hiroshi Furutani, Satoru Hiwa
, Tomoyuki Hiroyasu:
Markov chain analysis of evolutionary algorithms for monotonic functions. Artif. Life Robotics 24(1): 82-87 (2019) - 2017
- [j14]Yifei Du, Kenji Aoki, Makoto Sakamoto, Kunihito Yamamori, Hiroshi Furutani:
Asymmetric mutation model in genetic algorithm. Artif. Life Robotics 22(1): 17-23 (2017) - [j13]Yifei Du, Kenji Aoki, Makoto Sakamoto, Hiroshi Furutani, Kunihito Yamamori:
Markov chain analysis of Leading Ones problem. Artif. Life Robotics 22(4): 443-448 (2017) - 2016
- [c15]Khaing Zin Htwe, Kunihito Yamamori, Tetsuro Katayama, Tin Mar Kyi:
Automated lung nodule classification by artificial neural network and fuzzy inference system. GCCE 2016: 1-2 - [c14]Hnin Thandar Tun, Tetsuro Katayama, Kunihito Yamamori, Khine Khine Oo:
Business goals monitoring and control measures in CMMI. GCCE 2016: 1-2 - 2014
- [j12]Takayuki Yamamoto, Kunihito Yamamori, Naoya Kenmochi, Masaru Aikawa:
A detection method for snoRNA modification domain by fully indexable dictionary retrieving. Artif. Life Robotics 19(2): 209-214 (2014) - 2013
- [j11]Qinglian Ma, Yu-an Zhang, Kiminobu Koga, Kunihito Yamamori, Makoto Sakamoto, Hiroshi Furutani:
Stochastic analysis of OneMax problem using Markov chain. Artif. Life Robotics 17(3-4): 395-399 (2013) - [j10]Kunihito Yamamori, Takuro Matsuo, Junichi Iwakiri
, Naoya Kenmochi, Ikuo Yoshihara:
A detection method for intronic snoRNA genes using extended-weight-updating SOM with appearance probability of bases. Artif. Life Robotics 17(3-4): 405-411 (2013) - [c13]Kenji Aoki, Kunihito Yamamori, Makoto Sakamoto, Hiroshi Furutani:
SVM Analysis of Haemophilia A by Using Protein Structure. ICONIP (2) 2013: 681-688 - 2012
- [j9]Shingo Kurose, Kunihito Yamamori, Masaru Aikawa, Ikuo Yoshihara:
Asynchronous migration for parallel genetic programming on a computer cluster with multi-core processors. Artif. Life Robotics 16(4): 533-536 (2012) - [c12]Kenji Aoki, Kunihito Yamamori, Makoto Sakamoto, Hiroshi Furutani:
Analysis of Genetic Disease Hemophilia B by Using Support Vector Machine. ICONIP (4) 2012: 476-483 - 2011
- [c11]Qinglian Ma, Yu-an Zhang, Kunihito Yamamori, Makoto Sakamoto, Hiroshi Furutani:
Markov chain analysis of genetic algorithms for 3-SAT problem. ICNC 2011: 1101-1105 - 2010
- [j8]Masafumi Kuroda, Kunihito Yamamori, Masaharu Munetomo, Moritoshi Yasunaga, Ikuo Yoshihara:
Development of a novel crossover of hybrid genetic algorithms for large-scale traveling salesman problems. Artif. Life Robotics 15(4): 547-550 (2010) - [c10]Masafumi Kuroda, Kunihito Yamamori, Masaharu Munetomo, Moritoshi Yasunaga, Ikuo Yoshihara:
A proposal for Zoning Crossover of Hybrid Genetic Algorithms for large-scale traveling salesman problems. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c9]Kunihito Yamamori, Keisuke Tashiro, Masamichi Kusano, Ikuo Yoshihara:
A Design of Self-Defect-Compensatable Hardware Neuron for Multi-layer Neural Networks. DFT 2010: 82-89
2000 – 2009
- 2009
- [j7]Tamon Fukushima, Kunihito Yamamori, Ikuo Yoshihara, Kiyoko Nagahama:
Feature extraction of protein expression levels based on classification of functional foods with SOM. Artif. Life Robotics 13(2): 543-546 (2009) - 2008
- [j6]Naoki Koizumi, Kazuya Hayashi, Moritoshi Yasunaga, Kunihito Yamamori, Ikuo Yoshihara:
Variable-length segmental transmission line and its design guidelines. Artif. Life Robotics 12(1-2): 214-218 (2008) - 2007
- [j5]Hung Dinh Nguyen, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga:
A New Three-Level Tree Data Structure for Representing TSP Tours in the Lin-Kernighan Heuristic. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(10): 2187-2193 (2007) - [j4]Hung Dinh Nguyen, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga:
Implementation of an Effective Hybrid GA for Large-Scale Traveling Salesman Problems. IEEE Trans. Syst. Man Cybern. Part B 37(1): 92-99 (2007) - 2006
- [c8]Naoki Koizumi, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga:
Enhancement of the Variable-Length-Transmission-Line design method for multi-point optimization. IEEE Congress on Evolutionary Computation 2006: 142-148 - 2005
- [c7]Naoki Koizumi, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga:
Variable length segmental-transmission-line and its parameter optimization based on GA. Congress on Evolutionary Computation 2005: 1576-1582 - 2004
- [j3]Hanxi Zhu, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga:
A multimodal neural network with single-state predictions for protein secondary structure. Artif. Life Robotics 8(2): 168-173 (2004) - [j2]Hanxi Zhu, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga:
A multimodal neural network with single-state predictions for protein secondary structure. Artif. Life Robotics 8(2): 168-173 (2004) - [j1]Hanxi Zhu, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga:
Multi-Modal Neural Networks for Symbolic Sequence Pattern Classification. IEICE Trans. Inf. Syst. 87-D(7): 1943-1952 (2004) - 2003
- [c6]Hung Dinh Nguyen, Kunihito Yamamori, Ikuo Yoshihara, Moritoshi Yasunaga:
Improved GA-based method for multiple protein sequence alignment. IEEE Congress on Evolutionary Computation 2003: 1826-1832 - 2002
- [c5]Hung Dinh Nguyen, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga:
A parallel hybrid genetic algorithm for multiple protein sequence alignment. IEEE Congress on Evolutionary Computation 2002: 309-314 - [c4]Kin'ya Takahashi, Kunihito Yamamori, Ikuo Yoshihara, Susumu Horiguchi:
Comparison with Defect Compensation Methods for Feed-forward Neural Networks. PRDC 2002: 293-300 - [c3]Hanxi Zhu, Ikuo Yoshihara, Kunihito Yamamori, Moritoshi Yasunaga:
Prediction of protein secondary Structure by Multi-Modal Neural Networks. SEAL 2002: 682-697 - 2001
- [c2]Kunihito Yamamori, Toru Abe, Susumu Horiguchi:
Performance Evaluation of a Partial Retraining Scheme for Defective Multi-Layer Neural Networks. ACSAC 2001: 138-146
1990 – 1999
- 1995
- [c1]Kunihito Yamamori, Susumu Horiguchi, J. H. Kim, S.-K. Park, Byung H. Ham:
The efficient design of fault-tolerant artificial neural networks. ICNN 1995: 1487-1491
Coauthor Index
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