Pitoyo Hartono

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 23

Top Topics

Hierarchical Representation

Radial Basis Function Network

Cancer Diagnosis

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

Publications

Pitoyo Hartono
Context-flexible cartography with Siamese topological neural networks. Discov. Artif. Intell. 4 (1) (2024)
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) (2023)
Minako Oriyama, Pitoyo Hartono, Hideyuki Sawada
Human-Guided Transfer Learning for Autonomous Robot. ICONIP (7) (2023)
Kana Ogawa, Pitoyo Hartono
Infusing common-sensical prior knowledge into topological representations of learning robots. Artif. Life Robotics 27 (3) (2022)
Gembong Edhi Setyawan, Pitoyo Hartono, Hideyuki Sawada
An In-Depth Analysis of Cooperative Multi-Robot Hierarchical Reinforcement Learning. SIET (2022)
Shiori Kuramoto, Hideyuki Sawada, Pitoyo Hartono
Visualization of topographical internal representation of learning robots. IJCNN (2020)
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 (2020)
Pitoyo Hartono
Mixing Autoencoder With Classifier: Conceptual Data Visualization. IEEE Access 8 (2020)
Pitoyo Hartono
Generating Similarity Map for COVID-19 Transmission Dynamics with Topological Autoencoder. CoRR (2020)
Pitoyo Hartono
A transparent cancer classifier. Health Informatics J. 26 (1) (2020)
Patrik Sabol, Peter Sincák, Kana Ogawa, Pitoyo Hartono
Explainable Classifier Supporting Decision-making for Breast Cancer Diagnosis from Histopathological Images. IJCNN (2019)
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)
Pitoyo Hartono
Mixing autoencoder with classifier: conceptual data visualization. CoRR (2019)
Pitoyo Hartono, Thomas P. Trappenberg
Topographic representation adds robustness to supervised learning. J. Intell. Fuzzy Syst. 36 (4) (2019)
Sina Torabi, Mattias Wahde, Pitoyo Hartono
Road Grade and Vehicle Mass Estimation for Heavy-duty Vehicles Using Feedforward Neural Networks. ICITE (2019)
Patrik Sabol, Peter Sincák, Ján Magyar, Pitoyo Hartono
Semantically Explainable Fuzzy Classifier. Int. J. Pattern Recognit. Artif. Intell. 33 (12) (2019)
Pitoyo Hartono
Classification and dimensional reduction using restricted radial basis function networks. Neural Comput. Appl. 30 (3) (2018)
Patrik Sabol, Peter Sincak, Jan Buca, Pitoyo Hartono
Cumulative fuzzy class membership criterion decision-based classifier. SMC (2017)
Pitoyo Hartono, Yuto Take
Pairwise elastic self-organizing maps. WSOM (2017)
Jaroslav Ondo, Patrik Sabol, Peter Sincak, Pitoyo Hartono
A review of MF-ARTMAP toward an improvement classification accuracy using simulated annealing. SMC (2016)
Pitoyo Hartono
Dimension Reduction with Non-degrading Generalization. CoRR (2015)
Pitoyo Hartono, Paul Hollensen, Thomas P. Trappenberg
Classifier with Hierarchical Topographical Maps as Internal Representation. ICLR (Workshop) (2015)
Pitoyo Hartono, Paul Hollensen, Thomas P. Trappenberg
Learning-Regulated Context Relevant Topographical Map. IEEE Trans. Neural Networks Learn. Syst. 26 (10) (2015)
Pitoyo Hartono, Kayo Ogawa
Visualizing Learning Management System data using Context-Relevant Self-Organizing Map. SMC (2014)
Pitoyo Hartono, Paul Hollensen, Thomas P. Trappenberg
Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network. ICANN (2014)
Pitoyo Hartono, Thomas P. Trappenberg
Classificability-regulated self-organizing map using restricted RBF. IJCNN (2013)
Pitoyo Hartono, Thomas P. Trappenberg
Internal representation of sensory information for training autonomous robot. SCIS&ISIS (2012)
Pitoyo Hartono
Computational Intelligence for Creating Autonomous Robots. RiTA (2012)
Pitoyo Hartono
Ensemble of perceptrons with confidence measure for piecewise linear decomposition. IJCNN (2011)
Pitoyo Hartono, Thomas P. Trappenberg
Internal topographical structure in training autonomous robot. SMC (2011)
Thomas P. Trappenberg, Aya Saito, Pitoyo Hartono
Selective attention improves self-organization of cortical maps with multiple inputs. IJCNN (2010)
Pitoyo Hartono, Aito Nakane
Modular robot with adaptive connection topology. HIS (2010)
Thomas P. Trappenberg, Pitoyo Hartono, Douglas Rasmusson
Top-Down Control of Learning in Biological Self-Organizing Maps. WSOM (2009)
Pitoyo Hartono, Sachiko Kakita
Fast reinforcement learning for simple physical robots. Memetic Comput. 1 (4) (2009)
Pitoyo Hartono, Thomas P. Trappenberg
Learning Intialized by Topologically Correct Representation. SMC (2009)
Pitoyo Hartono, Aya Saito
Class-proximity SOM and its applications in classification. SMC (2008)
Pitoyo Hartono, Sachiko Kakita
Embedded Neural Network for Swarm Learning of Physical Robots. ICANN (2) (2008)
Pitoyo Hartono
Interpretable Piecewise Linear Classifier. ICONIP (2) (2007)
Pitoyo Hartono, Shuji Hashimoto
Learning from imperfect data. Appl. Soft Comput. 7 (1) (2007)
Pitoyo Hartono, Shuji Hashimoto
Ensemble as a Piecewise Linear Classifier. HIS (2006)
Pitoyo Hartono, Shuji Hashimoto
Analysis of the Performance of Ensemble of Perceptrons. IJCNN (2006)
Pitoyo Hartono, Shuji Hashimoto
Learning with Ensemble of Linear Perceptrons. ICANN (2) (2005)
Mikito Toguro, Kenji Suzuki, Pitoyo Hartono, Shuji Hashimoto
Video Stream Retrieval Based on Temporal Feature of Frame Difference. ICASSP (2) (2005)
Pitoyo Hartono, Shuji Hashimoto
Ensemble of Linear Perceptrons with Confidence Level Output. HIS (2004)
Pitoyo Hartono, Shuji Hashimoto, Mattias Wahde
Labeled-GA with adaptive mutation rate. IEEE Congress on Evolutionary Computation (2004)
Pitoyo Hartono, Keishiro Tabe, Kenji Suzuki, Shuji Hashimoto
Strategy acquirement by survival robots in outdoor environment. ICRA (2003)
Akihito Sudou, Pitoyo Hartono, Ryo Saegusa, Shuji Hashimoto
Signal reconstruction from sampled data using neural network. NNSP (2002)
Pitoyo Hartono, Kenji Suzuki, Hai Qi, Shuji Hashimoto
Subjective Preference Oriented Global Sound Database. ICMC (2002)
Pitoyo Hartono, Shuji Hashimoto
Extracting the Principal Behavior of a Probabilistic Supervisor Through Neural Networks Ensemble. Int. J. Neural Syst. 12 (3-4) (2002)
Kenji Suzuki, Yoichiro Taki, Hisaki Konogaya, Pitoyo Hartono, Shuji Hashimoto
Machine Listening for Autonomous Musical Performance Systems. ICMC (2002)
Pitoyo Hartono, Shuji Hashimoto
Learning-Data Selection Mechanism through Neural Networks Ensemble. Multiple Classifier Systems (2001)
Shinichiro Sanji, Makoto Murata, Pitoyo Hartono, Shuji Hashimoto
A Virtual Reality System For. ICME (2001)
Pitoyo Hartono, Shuji Hashimoto
Migrational GA that preserves solutions in non-static optimization problems. SMC (2001)
Pitoyo Hartono, Shuji Hashimoto
Effective Learning in Noisy Environment Using Neural Network Ensemble. IJCNN (2) (2000)
Pitoyo Hartono, Shuji Hashimoto
Neural network ensemble with temperature control. IJCNN (1999)
Pitoyo Hartono, Kazumi Asano, Wataru Inoue, Shuji Hashimoto
Adaptive Timbre Control System Using Gesture. ICMC (1994)