| 2016 | ICANN | Analysis of Dropout Learning Regarded as Ensemble Learning. | Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno |
| 2016 | ICONIP | Group Dropout Inspired by Ensemble Learning. | Kazuyuki Hara, Daisuke Saitoh, Takumi Kondou, Satoshi Suzuki, Hayaru Shouno |
| 2015 | IJCNN | Analysis of function of rectified linear unit used in deep learning. | Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno |
| 2014 | ICAISC | Soft Committee Machine Using Simple Derivative Term. | Kazuyuki Hara, Kentaro Katahira |
| 2014 | ICANN | Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian Function. | Kazuyuki Hara, Kentaro Katahira |
| 2012 | ICANN | Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning. | Kazuyuki Hara, Kentaro Katahira, Kazuo Okanoya, Masato Okada |
| 2011 | ICANN | Ensemble-Teacher Learning through a Perceptron Rule with a Margin. | Kazuyuki Hara, Seiji Miyoshi |
| 2010 | ICANN | On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin. | Kazuyuki Hara, Katsuya Ono, Seiji Miyoshi |
| 2009 | ICANN | Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory. | Kazuyuki Hara, Yoichi Nakayama, Seiji Miyoshi, Masato Okada |
| 2008 | ICONIP | Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction. | Kazuyuki Hara, Seiji Miyoshi, Tatsuya Uezu, Masato Okada |
| 2004 | IJCNN | Online learning theory of ensemble learning using linear perceptrons. | Kazuyuki Hara, Masato Okada |
| 2004 | IJCNN | Analysis of ensemble learning using simple perceptrons based on online learning theory. | Seiji Miyoshi, Kazuyuki Hara, Masato Okada |
| 2000 | IJCNN | A Training Method with Small Computation for Classification. | Kazuyuki Hara, Kenji Nakayama |
| 1997 | ICANN | A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence. | Ashraf A. M. Khalaf, Kenji Nakayama, Kazuyuki Hara |