Pitoyo Hartono

According to our database, Pitoyo Hartono authored at least 55 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Context-flexible cartography with Siamese topological neural networks.

Pitoyo Hartono

Discov. Artif. Intell., 2024

2023

Fibonacci Level Adjustment for Optimizing Player's Performance and Engagement.

Faiz Hilmawan Masyfa, Herman Tolle, Tibyani Tibyani, Pitoyo Hartono

Int. J. Serious Games, June, 2023

Human-Guided Transfer Learning for Autonomous Robot.

Minako Oriyama, Pitoyo Hartono, Hideyuki Sawada

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Infusing common-sensical prior knowledge into topological representations of learning robots.

Kana Ogawa, Pitoyo Hartono

Artif. Life Robotics, 2022

An In-Depth Analysis of Cooperative Multi-Robot Hierarchical Reinforcement Learning.

Gembong Edhi Setyawan, Pitoyo Hartono, Hideyuki Sawada

Proceedings of the 7th International Conference on Sustainable Information Engineering and Technology, 2022

2020

Explainable classifier for improving the accountability in decision-making for colorectal cancer diagnosis from histopathological images.

Patrik Sabol, Peter Sincák, Pitoyo Hartono, Pavel Kocan, Zuzana Benetinová, Alzbeta Blichárová, Ludmila Verbóová, Erika Stammová, Antónia Sabolová-Fabianová, Anna Jasková

J. Biomed. Informatics, 2020

A transparent cancer classifier.

Pitoyo Hartono

Health Informatics J., 2020

Generating Similarity Map for COVID-19 Transmission Dynamics with Topological Autoencoder.

Pitoyo Hartono

CoRR, 2020

Mixing Autoencoder With Classifier: Conceptual Data Visualization.

Pitoyo Hartono

IEEE Access, 2020

Visualization of topographical internal representation of learning robots.

Shiori Kuramoto, Hideyuki Sawada, Pitoyo Hartono

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Topographic representation adds robustness to supervised learning.

Pitoyo Hartono, Thomas Trappenberg

J. Intell. Fuzzy Syst., 2019

Semantically Explainable Fuzzy Classifier.

Patrik Sabol, Peter Sincák, Ján Magyar, Pitoyo Hartono

Int. J. Pattern Recognit. Artif. Intell., 2019

Explainable Classifier Supporting Decision-making for Breast Cancer Diagnosis from Histopathological Images.

Patrik Sabol, Peter Sincák, Kana Ogawa, Pitoyo Hartono

Proceedings of the International Joint Conference on Neural Networks, 2019

Road Grade and Vehicle Mass Estimation for Heavy-duty Vehicles Using Feedforward Neural Networks.

Sina Torabi, Mattias Wahde, Pitoyo Hartono

Proceedings of the 4th International Conference on Intelligent Transportation Engineering, 2019

A Conscious AI System Based on Recurrent Neural Networks Applying Dynamic Information Equilibrium.

Yasuo Kinouchi, Kenneth James Mackin, Pitoyo Hartono

Proceedings of the Papers of the 2019 Towards Conscious AI Systems Symposium co-located with the Association for the Advancement of Artificial Intelligence 2019 Spring Symposium Series (AAAI SSS-19), 2019

2018

Classification and dimensional reduction using restricted radial basis function networks.

Pitoyo Hartono

Neural Comput. Appl., 2018

2017

Pairwise elastic self-organizing maps.

Pitoyo Hartono, Yuto Take

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

Cumulative fuzzy class membership criterion decision-based classifier.

Patrik Sabol, Peter Sincak, Jan Buca, Pitoyo Hartono

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

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

Jaroslav Ondo, Patrik Sabol, Peter Sincak, Pitoyo Hartono

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Learning-Regulated Context Relevant Topographical Map.

Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg

IEEE Trans. Neural Networks Learn. Syst., 2015

Classifier with Hierarchical Topographical Maps as Internal Representation.

Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg

Proceedings of the 3rd International Conference on Learning Representations, 2015

Dimension Reduction with Non-degrading Generalization.

Pitoyo Hartono

CoRR, 2015

2014

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

Pitoyo Hartono, Kayo Ogawa

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network.

Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

Classificability-regulated self-organizing map using restricted RBF.

Pitoyo Hartono, Thomas Trappenberg

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Internal representation of sensory information for training autonomous robot.

Pitoyo Hartono, Thomas Trappenberg

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Computational Intelligence for Creating Autonomous Robots.

Pitoyo Hartono

Proceedings of the Robot Intelligence Technology and Applications 2012, 2012

2011

Internal topographical structure in training autonomous robot.

Pitoyo Hartono, Thomas Trappenberg

Proceedings of the IEEE International Conference on Systems, 2011

Ensemble of perceptrons with confidence measure for piecewise linear decomposition.

Pitoyo Hartono

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

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

Thomas Trappenberg, Aya Saito, Pitoyo Hartono

Proceedings of the International Joint Conference on Neural Networks, 2010

Modular robot with adaptive connection topology.

Pitoyo Hartono, Aito Nakane

Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

2009

Fast reinforcement learning for simple physical robots.

Pitoyo Hartono, Sachiko Kakita

Memetic Comput., 2009

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

Thomas Trappenberg, Pitoyo Hartono, Douglas Rasmusson

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Learning Intialized by Topologically Correct Representation.

Pitoyo Hartono, Thomas Trappenberg

Proceedings of the IEEE International Conference on Systems, 2009

2008

Class-proximity SOM and its applications in classification.

Pitoyo Hartono, Aya Saito

Proceedings of the IEEE International Conference on Systems, 2008

Embedded Neural Network for Swarm Learning of Physical Robots.

Pitoyo Hartono, Sachiko Kakita

Proceedings of the Artificial Neural Networks, 2008

2007

Learning from imperfect data.

Pitoyo Hartono, Shuji Hashimoto

Appl. Soft Comput., 2007

Interpretable Piecewise Linear Classifier.

Pitoyo Hartono

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Analysis of the Performance of Ensemble of Perceptrons.

Pitoyo Hartono, Shuji Hashimoto

Proceedings of the International Joint Conference on Neural Networks, 2006

Ensemble as a Piecewise Linear Classifier.

Pitoyo Hartono, Shuji Hashimoto

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2005

Video Stream Retrieval Based on Temporal Feature of Frame Difference.

Mikito Toguro, Kenji Suzuki, Pitoyo Hartono, Shuji Hashimoto

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Learning with Ensemble of Linear Perceptrons.

Pitoyo Hartono, Shuji Hashimoto

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004

Ensemble of Linear Perceptrons with Confidence Level Output.

Pitoyo Hartono, Shuji Hashimoto

Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

Labeled-GA with adaptive mutation rate.

Pitoyo Hartono, Shuji Hashimoto, Mattias Wahde

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003

Strategy acquirement by survival robots in outdoor environment.

Pitoyo Hartono, Keishiro Tabe, Kenji Suzuki, Shuji Hashimoto

Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

2002

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

Pitoyo Hartono, Shuji Hashimoto

Int. J. Neural Syst., 2002

Signal reconstruction from sampled data using neural network.

Akihito Sudou, Pitoyo Hartono, Ryo Saegusa, Shuji Hashimoto

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Machine Listening for Autonomous Musical Performance Systems.

Kenji Suzuki, Yoichiro Taki, Hisaki Konogaya, Pitoyo Hartono, Shuji Hashimoto

Proceedings of the 2002 International Computer Music Conference, 2002

Subjective Preference Oriented Global Sound Database.

Pitoyo Hartono, Kenji Suzuki, Hai Qi, Shuji Hashimoto

Proceedings of the 2002 International Computer Music Conference, 2002

2001

Migrational GA that preserves solutions in non-static optimization problems.

Pitoyo Hartono, Shuji Hashimoto

Proceedings of the IEEE International Conference on Systems, 2001

Learning-Data Selection Mechanism through Neural Networks Ensemble.

Pitoyo Hartono, Shuji Hashimoto

Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

A Virtual Reality System For.

Shinichiro Sanji, Makoto Murata, Pitoyo Hartono, Shuji Hashimoto

Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

2000

Effective Learning in Noisy Environment Using Neural Network Ensemble.

Pitoyo Hartono, Shuji Hashimoto

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Neural network ensemble with temperature control.

Pitoyo Hartono, Shuji Hashimoto

Proceedings of the International Joint Conference Neural Networks, 1999

1994

Adaptive Timbre Control System Using Gesture.

Pitoyo Hartono, Kazumi Asano, Wataru Inoue, Shuji Hashimoto

Proceedings of the 1994 International Computer Music Conference, 1994