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ORCIDPitoyo Hartono
Person information
- affiliation: Chukyo University, School of Engineering, Nagoya, Japan
- affiliation: Future University, School of Media Architecture, Hakodate, Japan
- affiliation: Waseda University, Graduate School of Science and Engineering, Department of Pure and Applied Physics, Tokyo, Japan
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2020 – today
- 2024
[j13]Pitoyo Hartono:
Context-flexible cartography with Siamese topological neural networks. Discov. Artif. Intell. 4(1) (2024)- 2023
- [j12]Faiz Hilmawan Masyfa
, Herman Tolle, Tibyani Tibyani, Pitoyo Hartono:
Fibonacci Level Adjustment for Optimizing Player's Performance and Engagement. Int. J. Serious Games 10(2): 137-157 (2023) - [c40]Minako Oriyama, Pitoyo Hartono, Hideyuki Sawada:
Human-Guided Transfer Learning for Autonomous Robot. ICONIP (7) 2023: 186-198 - 2022
- [j11]Kana Ogawa, Pitoyo Hartono:
Infusing common-sensical prior knowledge into topological representations of learning robots. Artif. Life Robotics 27(3): 576-585 (2022) - [c39]Gembong Edhi Setyawan, Pitoyo Hartono, Hideyuki Sawada:
An In-Depth Analysis of Cooperative Multi-Robot Hierarchical Reinforcement Learning. SIET 2022: 119-126 - 2020
- [j10]Pitoyo Hartono:
Mixing Autoencoder With Classifier: Conceptual Data Visualization. IEEE Access 8: 105301-105310 (2020) - [j9]Pitoyo Hartono:
A transparent cancer classifier. Health Informatics J. 26(1) (2020) - [j8]Patrik Sabol, Peter Sincák, Pitoyo Hartono, Pavel Kocan, Zuzana Benetinová, Alzbeta Blichárová, Ludmila Verbóová, Erika Stammová, Antónia Sabolová-Fabianová, Anna Jasková:
Explainable classifier for improving the accountability in decision-making for colorectal cancer diagnosis from histopathological images. J. Biomed. Informatics 109: 103523 (2020) - [c38]Shiori Kuramoto, Hideyuki Sawada, Pitoyo Hartono:
Visualization of topographical internal representation of learning robots. IJCNN 2020: 1-7 - [i3]Pitoyo Hartono:
Generating Similarity Map for COVID-19 Transmission Dynamics with Topological Autoencoder. CoRR abs/2004.01481 (2020)
2010 – 2019
- 2019
- [j7]Patrik Sabol, Peter Sincák, Ján Magyar, Pitoyo Hartono:
Semantically Explainable Fuzzy Classifier. Int. J. Pattern Recognit. Artif. Intell. 33(12): 2051006:1-2051006:22 (2019) - [j6]Pitoyo Hartono, Thomas Trappenberg:
Topographic representation adds robustness to supervised learning. J. Intell. Fuzzy Syst. 36(4): 3249-3262 (2019) - [c37]Yasuo Kinouchi, Kenneth James Mackin, Pitoyo Hartono:
A Conscious AI System Based on Recurrent Neural Networks Applying Dynamic Information Equilibrium. AAAI Spring Symposium: Towards Conscious AI Systems 2019 - [c36]Sina Torabi, Mattias Wahde, Pitoyo Hartono:
Road Grade and Vehicle Mass Estimation for Heavy-duty Vehicles Using Feedforward Neural Networks. ICITE 2019: 316-321 - [c35]Patrik Sabol, Peter Sincák, Kana Ogawa, Pitoyo Hartono:
Explainable Classifier Supporting Decision-making for Breast Cancer Diagnosis from Histopathological Images. IJCNN 2019: 1-8 - [i2]Pitoyo Hartono:
Mixing autoencoder with classifier: conceptual data visualization. CoRR abs/1912.01137 (2019) - 2018
- [j5]Pitoyo Hartono:
Classification and dimensional reduction using restricted radial basis function networks. Neural Comput. Appl. 30(3): 905-915 (2018) - 2017
- [c34]Patrik Sabol, Peter Sincak, Jan Buca, Pitoyo Hartono:
Cumulative fuzzy class membership criterion decision-based classifier. SMC 2017: 334-339 - [c33]Pitoyo Hartono, Yuto Take:
Pairwise elastic self-organizing maps. WSOM 2017: 50-56 - 2016
- [c32]Jaroslav Ondo, Patrik Sabol, Peter Sincak, Pitoyo Hartono:
A review of MF-ARTMAP toward an improvement classification accuracy using simulated annealing. SMC 2016: 2038-2043 - 2015
- [j4]Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg:
Learning-Regulated Context Relevant Topographical Map. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2323-2335 (2015) - [c31]Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg:
Classifier with Hierarchical Topographical Maps as Internal Representation. ICLR (Workshop) 2015 - [i1]Pitoyo Hartono:
Dimension Reduction with Non-degrading Generalization. CoRR abs/1508.00984 (2015) - 2014
- [c30]Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg:
Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network. ICANN 2014: 339-346 - [c29]Pitoyo Hartono, Kayo Ogawa:
Visualizing Learning Management System data using Context-Relevant Self-Organizing Map. SMC 2014: 3487-3491 - 2013
- [c28]Pitoyo Hartono, Thomas Trappenberg:
Classificability-regulated self-organizing map using restricted RBF. IJCNN 2013: 1-5 - 2012
- [c27]Pitoyo Hartono:
Computational Intelligence for Creating Autonomous Robots. RiTA 2012: 733-740 - [c26]Pitoyo Hartono, Thomas Trappenberg:
Internal representation of sensory information for training autonomous robot. SCIS&ISIS 2012: 341-345 - 2011
- [c25]Pitoyo Hartono:
Ensemble of perceptrons with confidence measure for piecewise linear decomposition. IJCNN 2011: 648-653 - [c24]Pitoyo Hartono, Thomas Trappenberg:
Internal topographical structure in training autonomous robot. SMC 2011: 239-243 - 2010
- [c23]Pitoyo Hartono, Aito Nakane:
Modular robot with adaptive connection topology. HIS 2010: 191-196 - [c22]Thomas Trappenberg, Aya Saito, Pitoyo Hartono:
Selective attention improves self-organization of cortical maps with multiple inputs. IJCNN 2010: 1-4
2000 – 2009
- 2009
- [j3]Pitoyo Hartono, Sachiko Kakita:
Fast reinforcement learning for simple physical robots. Memetic Comput. 1(4): 305-313 (2009) - [c21]Pitoyo Hartono, Thomas Trappenberg:
Learning Intialized by Topologically Correct Representation. SMC 2009: 2723-2727 - [c20]Thomas Trappenberg, Pitoyo Hartono, Douglas Rasmusson:
Top-Down Control of Learning in Biological Self-Organizing Maps. WSOM 2009: 316-324 - 2008
- [c19]Pitoyo Hartono, Sachiko Kakita:
Embedded Neural Network for Swarm Learning of Physical Robots. ICANN (2) 2008: 141-149 - [c18]Pitoyo Hartono, Aya Saito:
Class-proximity SOM and its applications in classification. SMC 2008: 2150-2155 - 2007
- [j2]Pitoyo Hartono, Shuji Hashimoto:
Learning from imperfect data. Appl. Soft Comput. 7(1): 353-363 (2007) - [c17]Pitoyo Hartono:
Interpretable Piecewise Linear Classifier. ICONIP (2) 2007: 434-443 - 2006
- [c16]Pitoyo Hartono, Shuji Hashimoto:
Ensemble as a Piecewise Linear Classifier. HIS 2006: 32 - [c15]Pitoyo Hartono, Shuji Hashimoto:
Analysis of the Performance of Ensemble of Perceptrons. IJCNN 2006: 5171-5176 - 2005
- [c14]Pitoyo Hartono, Shuji Hashimoto:
Learning with Ensemble of Linear Perceptrons. ICANN (2) 2005: 115-120 - [c13]Mikito Toguro, Kenji Suzuki, Pitoyo Hartono, Shuji Hashimoto:
Video Stream Retrieval Based on Temporal Feature of Frame Difference. ICASSP (2) 2005: 445-448 - 2004
- [c12]Pitoyo Hartono, Shuji Hashimoto, Mattias Wahde:
Labeled-GA with adaptive mutation rate. IEEE Congress on Evolutionary Computation 2004: 1851-1858 - [c11]Pitoyo Hartono, Shuji Hashimoto:
Ensemble of Linear Perceptrons with Confidence Level Output. HIS 2004: 186-191 - 2003
- [c10]Pitoyo Hartono, Keishiro Tabe, Kenji Suzuki, Shuji Hashimoto:
Strategy acquirement by survival robots in outdoor environment. ICRA 2003: 3571-3575 - 2002
- [j1]Pitoyo Hartono, Shuji Hashimoto:
Extracting the Principal Behavior of a Probabilistic Supervisor Through Neural Networks Ensemble. Int. J. Neural Syst. 12(3-4): 291-301 (2002) - [c9]Pitoyo Hartono, Kenji Suzuki, Hai Qi, Shuji Hashimoto:
Subjective Preference Oriented Global Sound Database. ICMC 2002 - [c8]Kenji Suzuki, Yoichiro Taki, Hisaki Konogaya, Pitoyo Hartono, Shuji Hashimoto:
Machine Listening for Autonomous Musical Performance Systems. ICMC 2002 - [c7]Akihito Sudou, Pitoyo Hartono, Ryo Saegusa, Shuji Hashimoto:
Signal reconstruction from sampled data using neural network. NNSP 2002: 707-715 - 2001
- [c6]Shinichiro Sanji, Makoto Murata, Pitoyo Hartono, Shuji Hashimoto:
A Virtual Reality System For. ICME 2001 - [c5]Pitoyo Hartono, Shuji Hashimoto:
Learning-Data Selection Mechanism through Neural Networks Ensemble. Multiple Classifier Systems 2001: 188-197 - [c4]Pitoyo Hartono, Shuji Hashimoto:
Migrational GA that preserves solutions in non-static optimization problems. SMC 2001: 255-260 - 2000
- [c3]Pitoyo Hartono, Shuji Hashimoto:
Effective Learning in Noisy Environment Using Neural Network Ensemble. IJCNN (2) 2000: 179-184
1990 – 1999
- 1999
- [c2]Pitoyo Hartono, Shuji Hashimoto:
Neural network ensemble with temperature control. IJCNN 1999: 4073-4078 - 1994
- [c1]Pitoyo Hartono, Kazumi Asano, Wataru Inoue, Shuji Hashimoto:
Adaptive Timbre Control System Using Gesture. ICMC 1994
Coauthor Index
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