Publication List

 

Journal

1.      P. Hartono, and A. Nakane, Adaptive Coupled Oscillators for Modular Robots, IEEJ Trans. on Electronics, Information and Systems (accepted).

2.     P. Hartono, and S. Kakita, Fast Reinforcement Learning for Simple Physical Robots, Memetic Computing, Vol. 1, No.4, pp. 305-313 (2009).

3.     P. Hartono, Ensemble of Linear Experts as an Interpretable Piecewise Linear Classifier, Innovative Computing, Information and Control Express Letters Vol. 2, No. 3, pp. 295-303 (2008).(pdf)

4.     P. Hartono, and S. Hashimoto, Learning from Imperfect Data, Applied Soft Computing Journal Vol.7, No. 1, pp. 353-363 (2007).(pdf)

5.     P. Hartono, and S. Hashimoto: Nonlinear Classification using Ensemble of Linear Perceptrons, Neural Information Processing-Letters and Reviews, Vol. 10, No.2, pp.35-41 (2006).(pdf)

6.     小堀　訓成、鈴木健嗣、ピトヨ　ハルトノ、橋本　周司、尤度情報に基づく温度分布を用いた強化学習法、人工知能学会論文誌 Vol. 20, No. 4D pp. 297-305 (2005).(pdf)

7.     A. Sudou, P. Hartono, R. Saegusa, S. Hashimoto: Signal reconstruction from sampled data tainted by aliasing phenomena using neural network, Journal of Signal Processing Vol.7, No.1, pp. 5-13 (2003).

8.     P. Hartono and S. Hashimoto: Extracting the Principal Behavior of a Probabilistic Supervisor through Neural Network Ensemble, International Journal of Neural Systems, Vol. 12, Nos. 3 & 4, pp. 291-301 (2002).(pdf)

9.     H. Qi, P. Hartono, K. Suzuki, S. Hashimoto: Sound database retrieved by sound, Acoustical Science and Technology, Vol. 23, No. 6, pp. 293-300 (2002).(pdf)

10.  P. Hartono and S. Hashimoto: Learning From Imperfect Supervisor Using Neural Network Ensemble, Journal of Information Processing Society of Japan, Vol. 42, No. 5, pp.1214 –1222 (2001).(pdf)

11.  P. Hartono, S. Hashimoto, Temperature Switching in Neural Network Ensemble, Journal of Signal Processing, Vol. 4, No. 5, pp. 395-402 (2000).(pdf)

 

International Conference

 

1.      P. Hartono and A. Nakane, Modular Robot with Adaptive Connection Topology, Proc. 10th Int. Conf. on Hybrid Intelligent Systems (HIS 10), pp. 191-196 (2010).

2.      T. Trappenberg, A. Saito, P. Hartono, Selective attention improves self-organization of cortical maps with multiple inputs, IEEE Int. Join Conf. on Neural Networks (IJCNN 2010) (accepted).

3.     T. Trappenberg, P. Hartono, and D. Rasmusson, Top-down control of learning in biological self-organizing maps, 7th. International Workshop on Self-Organizing Maps (WSOM 2009), LNCS 5629 pp. 316-324 (2009).

4.     P. Hartono, and T. Trappenberg, Learning Initialized by Topologically Correct Map, Proc. IEEE Int. Conf. on Systems, Man and Cybernetics (SMC) 2009, pp. 2802-2806 (2009).

5.     P. Hartono, and S. Kakita, Embedded Neural Network for Learning of Physical Robots, Proc. Int. Conf. on Artificial Neural Networks (ICANN) 2008, LNCS 5163 Part 2, pp. 141-149 (2008).(pdf)

6.     P. Hartono, and A. Saito, Class-Proximity SOM and its Applications in Classification, Proc. IEEE Int. Conf. on Systems, Man and Cybernetics (SMC) 2008, pp. 2150-2155 (2008).(pdf)

7.     P. Hartono, Interpretable Piecewise Linear Classifier, Proc. ICONIP 2007, LNCS 4985, pp. 434-443 (2007).

8.     J. Petterson, P. Hartono, and M. Wahde, A behavior module for odometry recalibration in autonomous robots, Proc. of the 4th Int. Symp. on Autonomous Minirobots for Research and Edutainment (AMiRE2007), pp. 11-18 (2007).

9.     P. Hartono, S. Hashimoto, Ensemble as a Piecewise Linear Classifier, Proc. Int. Conf. on Hybrid Intelligent Systems, CD Proceedings (2006).

10.  P. Hartono, S. Hashimoto, Analysis on the Performance of Ensemble of Perceptrons, Proc. IJCNN 2006, pp. 10627-10632 (2006).

11.  P. Hartono, M. Speiser, Acquirement of Simple Moving Sequences in Mobile Robot through Utility Function-based Behavior Selection, Proc. SCI & ISIS 2006, pp. 967- 970 (2006).

12.  P. Hartono, S. Hashimoto, Learning with Ensemble of Linear Perceptron, Proc. ICANN 2005, LNCS 3697, Springer-Verlag, pp. 115-120 (2005).

13.  P. Hartono and S. Hashimoto, A Robust Face Detector Algorithm Utilizing Neural Network and Partial Template Matching, Proc. of SPIE Machine Vision and its Optomechatronic Application, pp. 119-127 (2004).

14.  P. Hartono and S. Hashimoto, and M. Wahde, Labeled-GA with Adaptive Mutation Rate”, Proc. IEEE CEC 2004, pp. 1851-1858 (2004).

15.  M. Nakakita, P. Hartono, S. Hashimoto, Face Detection with A Neural Network Posture Predictor and Partial Template Matching, Proc. IASTED International Conference on Vizualization, Imaging and Image Processing, pp. 575-580 (2003).

16.  P. Hartono, K. Tabe, K. Suzuki, S. Hashimoto, Strategy Acquirement by Survival Robots in Outdoor Environment, Proc. 2003 IEEE International Conference on Robotics and Automation, pp. 3571-3575 (2003).

17.  P. Hartono and S. Hashimoto: Adaptive neural network that learns from imperfect supervisor, Proc. ICONIP’02, pp. 2561-2565 (2002).

18.  N. Kobori, K. Suzuki, P. Hartono and S. Hashimoto: Learning to control a joint driven double inverted pendulum using nested actor/critic algorithm, Proc. ICONIP’02, pp. 2610-2614 (2002).

19.  P. Hartono, K. Suzuki, H. Qi, S. Hashimoto: Subjective Preference Oriented Global Sound Database, Proc. International Computer Music Conference 2002 pp. 446-p449 (2002).

20.  A. Sudou, P. Hartono, R. Saegusa, S. Hashimoto: Signal Reconstruction From Sampled Data Using Neural Network, Proc. IEEE Workshop on Neural Networks for Signal Processing 2002, pp. 707-715 (2002).

21.  K. Tabe, K. Suzuki, P. Hartono, S. Hashimoto: Survival Strategy Learning for Autonomous Mobile Robot, Proc. IEEE-RAS Int. Conf. On Humanoid Robots 2001, pp. 485-492 (2001).

22.  P. Hartono and S. Hashimoto: Migrational GA that preserves Solutions in Non-Static Optimization Problems, Proc. of SMC 2001, pp. 255-260 (2001).

23.  K. Suzuki, H. Yamada, P. Hartono and S. Hashimoto: Modeling of Interrelationship between Physical Feature of Face and Its Impression, Proc. of SHF2001, pp. 310-315 (2001).

24.  P. Hartono and S. Hashimoto: Learning-data Selection Mechanism through Neural Network Ensemble, In Kittler, J. and Roli, F. (Eds), Multiple Classifier Systems, pp. 188-197, Springer (2001).

25.  R. Saegusa, P. Hartono, and S. Hashimoto: Position-based Competition Learning of Neural Networks Array, Proc. Int. Joint Conf. On Neural Networks 2001 (IJCNN2001), pp. 2817-2820 (2001).

26.  S. Nakamura, M. Sawada, Y. Aoki, P. Hartono and S. Hashimoto: Flower image database construction and its retrieval, Proc. of Korea-Japan Joint Workshop on Computer Vision, pp. 37-42 (2001).

27.  P. Hartono and S. Hashimoto: Effective Learning in Noisy Environment using Neural Network Ensemble, Proc. International Joint Conference on Neural Networks 2000 (IJCNN 2000), II-179-185 (2000).

28.  P. Hartono and S. Hashimoto: Neural Network Ensemble and Its Application in Probabilistic Learning、Proc. Fourth Int. Conference on Cognitive and Neural System, pp. 18 (2000).

29.  T. Notsu, P. Hartono, S. Hashimoto and H. Sawada: Multi-modal Gesture Database and Gesture Recognition Using Wearable Devices, Proc. 6th Korea-Japan Workshop on Computer Vision, pp.163-168 (2000).

30.  P. Hartono and S. Hashimoto: Ensemble of Neural Network With Temperature Control, Proc. 1999 Int. Join Conference on Neural Networks 1999 (IJCNN 1999), pp.4073-4078 (1999).

31.  P. Hartono, K. Asano, W. Inoue and S. Hashimoto: Adaptive Timbre Control Using Gesture, Proc. International Computer Music Conference 1994, pp.151-158 (1994).

32.  P. Hartono and S.  Hashimoto: Active Learning Algorithm of Neural Network, Proc. 1993 International Joint Conference on Neural Network 1993 (IJCNN 1993), pp.2548-2551 (1993).

Oral Presentation (unrefereed)

1.   中根　愛斗、ピトヨ　ハルトノ、タスクに適応可能なロボットモジュールの開発,情報処理学会創立５０周年記念大会論文集、pp.4-139 (2010). (学生奨励賞)

2.   吉武　亮、Pitoyo Hartono、音楽特性を反映した自己組織化マップによる音楽プレイリストの作成、情報処理学会創立５０周年記念大会論文集、6T-1 2-189-190 (2010).

3.   中根 愛斗、ピトヨ　ハルトノ、ローカル接続を持つモジュールの自己組織化に関する研究、第22回人工知能学会全国大会論文集、2A3-1 (2008).

4.   齊藤 綾、ピトヨ　ハルトノ、データのクラス近傍を保存するSOMとそのパターン識別への応用戸田真志、第22回人工知能学会全国大会論文集、2J1-2 (2008).

5.   ピトヨ　ハルトノ、松山克胤、川嶋稔夫、情報系学部教育における画像処理プロジェクトの試み、第１０回画像認識・理解シンポジウム、IS-4-39 (2007).

6.   P. Hartono, and S. Hashimoto, An Interpretable Neural Network Ensemble, 情報処理学会研究報告 2007-MPS-64, pp. 17-20 (2007).

7.   垣田 幸子, P. Hartono, 実環境における自律ロボットの障害物回避行動の獲得, 日本機械学会ロボティクス・メカトロニクス講演会予稿集, 2A1-E11 (2006).

8.   P. Hartono and S. Hashimoto: Adaptive parameter tuning for neural network ensemble, 電子情報通信学会2002総合大会論文集 A-1-13 (2002).

9.   P. Hartono and S. Hashimoto, Migrational GA for non-static optimization problems, 電子情報通信学会2001総合大会論文集 情報システム1-103 (2001).

10.  佐治勇一郎、P. Hartono、橋本周司、澤田秀之, 声道物理モデルのニューラルネットワークによる制御, 第６２情報処理学会全国大会論文集(2)、pp. 79-80 (2001).

11.  P. Hartono and S. Hashimoto, Learning the principal behavior through neural network ensemble, Proc. Workshop on Statistical-Mechanical Approach in Intelligent Information Processing, pp. 20 (2000).

12.  P. Hartono and S. Hashimoto, Competitive Learning with error-prone learning data, 第　23回日本神経科学大会・第１０回日本神経回路学会大会合同大会プログラム, pp. 258 (2000).

13.  P. Hartono and S. Hashimoto, Fault Tolerant Learning Using Neural Network Ensemble, 2000年電子情報通信学会総合大会論文集SD-2-4,pp.245-246 (2000).

14.  三枝　亮、ピトヨ　ハルトノ、橋本　周司, 環境変化に高速に適応するニューラルネットワーク、1999年電子情報通信学会総合大会、D-2-17 (1999).

15.  P. Hartono and S. Hashimoto, Associative Network That Distinguish “Experienced” Input From “Un-experienced” one, 1995年電子情報通信学会総合大会論文集D-235, pp.243 (1995).

16.  ピトヨ　ハルトノ、橋本　周司, 経験/未経験パターンを弁別する連想型ニューラルネットワークとその応用, 情報処理学会第５０回全国大会論文集、Vol. 2, pp.225-226 (1995).

17.  ヘラス　サマラシンガ、ピトヨ　ハルトノ、橋本　周司、川口　八郎、高木、宏之, ニューラルネットワークを用いたビルの熱負荷予測, 情報処理学会第50回全国大会論文集 1-411-412 (1995).

18.  浅野　和美、ピトヨ　ハルトノ、井上　渉、橋本　周司、大照　完, ジェスチャーによる音色制御システム、情報処理学会第48回全国大会論文集、I-377-378 (1994).

19.  ピトヨ　ハルトノ、橋本　周司:ニューラルネットワークの能動的学習アルゴリズム、情報処理学会第46回全国大会論文集、II-273-274 (1993).

 

解説

1.  ハルトノ　ピトヨ、ベイズの定理、映像情報メディア学会誌, Vol. 63, No. 1, pp. 52-54 (2009).(pdf)

2.  ハルトノ　ピトヨ、川嶋稔夫、ギガピクセルフォトプロジェクト、画像ラボ、Vol.18, No.1, pp.30-33 (2007).