Adaptive Timbre Control System Using Gesture. - Pitoyo Hartono; Kazumi Asano; Wataru Inoue; Shuji Hashimoto (ICMC, 1994)

Neural network ensemble with temperature control. - Pitoyo Hartono; Shuji Hashimoto (IJCNN, 1999)

Effective Learning in Noisy Environment Using Neural Network Ensemble. - Pitoyo Hartono; Shuji Hashimoto (IJCNN (2), 2000)

A Virtual Reality System For. - Shinichiro Sanji; Makoto Murata; Pitoyo Hartono; Shuji Hashimoto (ICME, 2001)

Learning-Data Selection Mechanism through Neural Networks Ensemble. - Pitoyo Hartono; Shuji Hashimoto (Multiple Classifier Systems, 2001)

Migrational GA that preserves solutions in non-static optimization problems. - Pitoyo Hartono; Shuji Hashimoto (SMC, 2001)

Subjective Preference Oriented Global Sound Database. - Pitoyo Hartono; Kenji Suzuki 004; Hai Qi; Shuji Hashimoto (ICMC, 2002)

Machine Listening for Autonomous Musical Performance Systems. - Kenji Suzuki 004; Yoichiro Taki; Hisaki Konogaya; Pitoyo Hartono; Shuji Hashimoto (ICMC, 2002)

Signal reconstruction from sampled data using neural network. - Akihito Sudou; Pitoyo Hartono; Ryo Saegusa; Shuji Hashimoto (NNSP, 2002)

Extracting the Principal Behavior of a Probabilistic Supervisor Through Neural Networks Ensemble. - Pitoyo Hartono; Shuji Hashimoto (Int. J. Neural Syst., 2002)

Strategy acquirement by survival robots in outdoor environment. - Pitoyo Hartono; Keishiro Tabe; Kenji Suzuki 004; Shuji Hashimoto (ICRA, 2003)

Labeled-GA with adaptive mutation rate. - Pitoyo Hartono; Shuji Hashimoto; Mattias Wahde (IEEE Congress on Evolutionary Computation, 2004)

Ensemble of Linear Perceptrons with Confidence Level Output. - Pitoyo Hartono; Shuji Hashimoto (HIS, 2004)

Learning with Ensemble of Linear Perceptrons. - Pitoyo Hartono; Shuji Hashimoto (ICANN (2), 2005)

Video Stream Retrieval Based on Temporal Feature of Frame Difference. - Mikito Toguro; Kenji Suzuki 002; Pitoyo Hartono; Shuji Hashimoto (ICASSP (2), 2005)

Ensemble as a Piecewise Linear Classifier. - Pitoyo Hartono; Shuji Hashimoto (HIS, 2006)

Analysis of the Performance of Ensemble of Perceptrons. - Pitoyo Hartono; Shuji Hashimoto (IJCNN, 2006)

Interpretable Piecewise Linear Classifier. - Pitoyo Hartono (ICONIP (2), 2007)

Learning from imperfect data. - Pitoyo Hartono; Shuji Hashimoto (Appl. Soft Comput., 2007)

Embedded Neural Network for Swarm Learning of Physical Robots. - Pitoyo Hartono; Sachiko Kakita (ICANN (2), 2008)

Class-proximity SOM and its applications in classification. - Pitoyo Hartono; Aya Saito (SMC, 2008)

Learning Intialized by Topologically Correct Representation. - Pitoyo Hartono; Thomas Trappenberg (SMC, 2009)

Top-Down Control of Learning in Biological Self-Organizing Maps. - Thomas Trappenberg; Pitoyo Hartono; Douglas Rasmusson (WSOM, 2009)

Fast reinforcement learning for simple physical robots. - Pitoyo Hartono; Sachiko Kakita (Memetic Comput., 2009)

Modular robot with adaptive connection topology. - Pitoyo Hartono; Aito Nakane (HIS, 2010)

Selective attention improves self-organization of cortical maps with multiple inputs. - Thomas Trappenberg; Aya Saito; Pitoyo Hartono (IJCNN, 2010)

Ensemble of perceptrons with confidence measure for piecewise linear decomposition. - Pitoyo Hartono (IJCNN, 2011)

Internal topographical structure in training autonomous robot. - Pitoyo Hartono; Thomas Trappenberg (SMC, 2011)

Computational Intelligence for Creating Autonomous Robots. - Pitoyo Hartono (RiTA, 2012)

Internal representation of sensory information for training autonomous robot. - Pitoyo Hartono; Thomas Trappenberg (SCIS&ISIS, 2012)

Classificability-regulated self-organizing map using restricted RBF. - Pitoyo Hartono; Thomas Trappenberg (IJCNN, 2013)

Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network. - Pitoyo Hartono; Paul Hollensen; Thomas Trappenberg (ICANN, 2014)

Visualizing Learning Management System data using Context-Relevant Self-Organizing Map. - Pitoyo Hartono; Kayo Ogawa (SMC, 2014)

Dimension Reduction with Non-degrading Generalization. - Pitoyo Hartono (CoRR, 2015)

Classifier with Hierarchical Topographical Maps as Internal Representation. - Pitoyo Hartono; Paul Hollensen; Thomas Trappenberg (ICLR (Workshop), 2015)

Learning-Regulated Context Relevant Topographical Map. - Pitoyo Hartono; Paul Hollensen; Thomas Trappenberg (IEEE Trans. Neural Networks Learn. Syst., 2015)

A review of MF-ARTMAP toward an improvement classification accuracy using simulated annealing. - Jaroslav Ondo; Patrik Sabol; Peter Sincak; Pitoyo Hartono (SMC, 2016)

Cumulative fuzzy class membership criterion decision-based classifier. - Patrik Sabol; Peter Sincak; Jan Buca; Pitoyo Hartono (SMC, 2017)

Pairwise elastic self-organizing maps. - Pitoyo Hartono; Yuto Take (WSOM, 2017)

Classification and dimensional reduction using restricted radial basis function networks. - Pitoyo Hartono (Neural Comput. Appl., 2018)

A Conscious AI System Based on Recurrent Neural Networks Applying Dynamic Information Equilibrium. - Yasuo Kinouchi; Kenneth James Mackin; Pitoyo Hartono (AAAI Spring Symposium: Towards Conscious AI Systems, 2019)

Road Grade and Vehicle Mass Estimation for Heavy-duty Vehicles Using Feedforward Neural Networks. - Sina Torabi; Mattias Wahde; Pitoyo Hartono (ICITE, 2019)

Explainable Classifier Supporting Decision-making for Breast Cancer Diagnosis from Histopathological Images. - Patrik Sabol; Peter Sincák; Kana Ogawa; Pitoyo Hartono (IJCNN, 2019)

Semantically Explainable Fuzzy Classifier. - Patrik Sabol; Peter Sincák; Ján Magyar; Pitoyo Hartono (Int. J. Pattern Recognit. Artif. Intell., 2019)

Topographic representation adds robustness to supervised learning. - Pitoyo Hartono; Thomas Trappenberg (J. Intell. Fuzzy Syst., 2019)

Visualization of topographical internal representation of learning robots. - Shiori Kuramoto; Hideyuki Sawada; Pitoyo Hartono (IJCNN, 2020)

Mixing Autoencoder With Classifier: Conceptual Data Visualization. - Pitoyo Hartono (IEEE Access, 2020)

Generating Similarity Map for COVID-19 Transmission Dynamics with Topological Autoencoder. - Pitoyo Hartono (CoRR, 2020)

A transparent cancer classifier. - Pitoyo Hartono (Health Informatics J., 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)

An In-Depth Analysis of Cooperative Multi-Robot Hierarchical Reinforcement Learning. - Gembong Edhi Setyawan; Pitoyo Hartono; Hideyuki Sawada (SIET, 2022)

Infusing common-sensical prior knowledge into topological representations of learning robots. - Kana Ogawa; Pitoyo Hartono (Artif. Life Robotics, 2022)

Human-Guided Transfer Learning for Autonomous Robot. - Minako Oriyama; Pitoyo Hartono; Hideyuki Sawada (ICONIP (7), 2023)

Fibonacci Level Adjustment for Optimizing Player's Performance and Engagement. - Faiz Hilmawan Masyfa; Herman Tolle; Tibyani Tibyani; Pitoyo Hartono (Int. J. Serious Games, 2023)

Context-flexible cartography with Siamese topological neural networks. - Pitoyo Hartono (Discov. Artif. Intell., 2024)