Pitoyo Hartono

发表

Strategy acquirement by survival robots in outdoor environment

Shuji Hashimoto, Kenji Suzuki, Pitoyo Hartono, 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network

Thomas P. Trappenberg, Pitoyo Hartono, Paul Hollensen, 2014, ICANN.

Temperature Switching in Neural Network Ensemble

Shuji Hashimoto, Pitoyo Hartono, 2000 .

Effective learning in noisy environment using neural network ensemble

Shuji Hashimoto, Pitoyo Hartono, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Internal topographical structure in training autonomous robot

Thomas P. Trappenberg, Pitoyo Hartono, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Embedded Neural Network for Swarm Learning of Physical Robots

Pitoyo Hartono, Sachiko Kakita, 2008, ICANN.

Topographic representation adds robustness to supervised learning

Thomas P. Trappenberg, Pitoyo Hartono, 2019, J. Intell. Fuzzy Syst..

Analysis of the Performance of Ensemble of Perceptrons

Shuji Hashimoto, Pitoyo Hartono, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Learning intialized by topologically correct representation

Thomas P. Trappenberg, Pitoyo Hartono, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Migrational GA that preserves solutions in non-static optimization problems

Shuji Hashimoto, Pitoyo Hartono, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

Machine Listening for Autonomous Musical Performance Systems

Shuji Hashimoto, Kenji Suzuki, Pitoyo Hartono, 2002, ICMC.

Pairwise elastic self-organizing maps

Pitoyo Hartono, Yuto Take, P. Hartono, 2017, 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM).

Class-proximity SOM and its applications in classification

Pitoyo Hartono, Aya Saito, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Visualizing Learning Management System data using Context-Relevant Self-Organizing Map

Pitoyo Hartono, Kayo Ogawa, P. Hartono, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Classificability-regulated self-organizing map using restricted RBF

Thomas P. Trappenberg, Pitoyo Hartono, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Classification and dimensional reduction using restricted radial basis function networks

Pitoyo Hartono, 2016, Neural Computing and Applications.

Learning from imperfect data

Shuji Hashimoto, Pitoyo Hartono, 2007, Appl. Soft Comput..

Ensemble as a Piecewise Linear Classifier

Shuji Hashimoto, Pitoyo Hartono, 2006, 2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06).

Pitoyo Hartono, P. Hartono, 2020, Informatics in Medicine Unlocked.

Adaptive timbre control using gesture

Pitoyo Hartono, 1994 .

Adaptive neural network ensemble that learns from imperfect supervisor

Pitoyo Hartono, S. Hashimoto, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

A review of MF-ARTMAP toward an improvement classification accuracy using simulated annealing

Peter Sincak, Pitoyo Hartono, Patrik Sabol, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Semantically Explainable Fuzzy Classifier

Peter Sincak, Pitoyo Hartono, Patrik Sabol, 2019, Int. J. Pattern Recognit. Artif. Intell..

Ensemble of linear perceptrons with confidence level output

Shuji Hashimoto, Pitoyo Hartono, 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

A robust face detector algorithm utilizing neural networks and partial template matching

Shuji Hashimoto, Pitoyo Hartono, 2004, SPIE Optics East.

Adaptive Coupled Oscillators for Modular Robots

Pitoyo Hartono, Aito Nakane, 2011 .

Classifier with hierarchical topographical maps as internal representation

Thomas P. Trappenberg, Pitoyo Hartono, Paul Hollensen, 2014, 2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES).

Internal representation of sensory information for training autonomous robot

Thomas P. Trappenberg, Pitoyo Hartono, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Neural network ensemble with temperature control

Shuji Hashimoto, Pitoyo Hartono, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

2A1-E11 Strategy acquirement of autonomous robots for obstacle avoidance in real world environment

Pitoyo Hartono, Sachiko Kakita, 2006 .

Dimension Reduction with Non-degrading Generalization pdf

Pitoyo Hartono, P. Hartono, 2015, ArXiv.

Modular robot with adaptive connection topology

Pitoyo Hartono, Aito Nakane, 2010, 2010 10th International Conference on Hybrid Intelligent Systems.

Labeled-GA with adaptive mutation rate

Shuji Hashimoto, Pitoyo Hartono, Mattias Wahde, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Signal reconstruction from sampled data using neural network

Shuji Hashimoto, Ryo Saegusa, Pitoyo Hartono, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Reinforcement learning with temperature distribution based on likelihood function

Shuji Hashimoto, Pitoyo Hartono, Norimasa Kobori, 2005 .

Adaptive Timbre Control System Using Gesture

Shuji Hashimoto, Pitoyo Hartono, Wataru Inoue, 1994, ICMC.

Learning with Ensemble of Linear Perceptrons

Shuji Hashimoto, Pitoyo Hartono, 2005, ICANN.

Automatic Playlist Generation from Self-Organizing Music Map

Pitoyo Hartono, Ryo Yoshitake, 2013 .

Fast reinforcement learning for simple physical robots

Pitoyo Hartono, Sachiko Kakita, 2009, Memetic Comput..

Selective attention improves self-organization of cortical maps with multiple inputs

Thomas P. Trappenberg, Pitoyo Hartono, Aya Saito, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Computational Intelligence for Creating Autonomous Robots

Pitoyo Hartono, P. Hartono, 2012, RiTA.

Interpretable Piecewise Linear Classifier

Pitoyo Hartono, 2007, ICONIP.

Mixing Autoencoder With Classifier: Conceptual Data Visualization

Pitoyo Hartono, 2020, IEEE Access.

Emergent Trends in Robotics and Intelligent Systems

Peter Sincak, Pitoyo Hartono, Ján Vaščák, 2015 .

Extracting the Principal Behavior of a Probabilistic Supervisor Through Neural Networks Ensemble

Shuji Hashimoto, Pitoyo Hartono, 2002, Int. J. Neural Syst..

Nonlinear Classification using Ensemble of Linear Perceptrons

Shuji Hashimoto, Pitoyo Hartono, 2006 .

Video stream retrieval based on temporal feature of frame difference

Shuji Hashimoto, Kenji Suzuki, Pitoyo Hartono, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Top-Down Control of Learning in Biological Self-Organizing Maps

Thomas P. Trappenberg, Pitoyo Hartono, Douglas Rasmusson, 2009, WSOM.

Autonomous Robot with Internal Topological Representation

Thomas P. Trappenberg, Pitoyo Hartono, 2013 .

Subjective Preference Oriented Global Sound Database

Shuji Hashimoto, Kenji Suzuki, Pitoyo Hartono, 2002, ICMC.

Ensemble of perceptrons with confidence measure for piecewise linear decomposition

Pitoyo Hartono, 2011, The 2011 International Joint Conference on Neural Networks.

Visualization of the learning state of a neural network-controlled robot

Shuji Hashimoto, Pitoyo Hartono, Hideyuki Sawada, 2018 .

Learning-Data Selection Mechanism through Neural Networks Ensemble

Shuji Hashimoto, Pitoyo Hartono, 2001, Multiple Classifier Systems.