| 2023 | IRI | Multiple Objective optimization of Stock Portfolio Using Evolutionary Computation under COVID-19. | Asuka Tai, Koki Yoshioka, Hiroshi Dozono |
| 2023 | IRI | The Method of Making the Low-dimensional Map that Preserves the Distance Relationships from Selected Data Point. | Koki Yoshioka, Gen Niina, Hiroshi Dozono |
| 2019 | ICANN | Application of Self Organizing Map to Preprocessing Input Vectors for Convolutional Neural Network. | Hiroshi Dozono, Masafumi Tanaka |
| 2013 | CIBCB | Mapping of DNA sequences using hidden Markov model self organizing maps. | Hiroshi Dozono, Gen Niina |
| 2012 | ICANN | The Spherical Hidden Markov Self Organizing Map for Learning Time Series Data. | Gen Niina, Hiroshi Dozono |
| 2011 | ICANN | The Authentication System for Multi-modal Behavior Biometrics Using Concurrent Pareto Learning SOM. | Hiroshi Dozono, Shinsuke Ito, Masanori Nakakuni |
| 2010 | ICONIP | The Adaptive Authentication System for Behavior Biometrics Using Pareto Learning Self Organizing Maps. | Hiroshi Dozono, Masanori Nakakuni, Shinsuke Ito, Shigeomi Hara |
| 2010 | ICONIP | Analysis of Packet Traffics and Detection of Abnormal Traffics Using Pareto Learning Self Organizing Maps. | Hiroshi Dozono, Masanori Nakakuni, Takaru Kabashima, Shigeomi Hara |
| 2009 | ICONIP | Analysis of Robustness of Pareto Learning SOM to Variances of Input Vectors. | Hiroshi Dozono, Masanori Nakakuni |
| 2008 | IJCNN | An integration method of multi-modal biometrics using supervised pareto learning self organizing maps. | Hiroshi Dozono, Masanori Nakakuni |
| 2006 | IJCNN | The Analysis of Pen Inputs of Handwritten Symbols using Self Organizing Maps and its Application to User Authentication. | Hiroshi Dozono, Masanori Nakakuni, Hiroaki Sanada, Yoshio Noguchi |