| 2023 | ICONIP | Human-Guided Transfer Learning for Autonomous Robot. | Minako Oriyama, Pitoyo Hartono, Hideyuki Sawada |
| 2020 | IJCNN | Visualization of topographical internal representation of learning robots. | Shiori Kuramoto, Hideyuki Sawada, Pitoyo Hartono |
| 2019 | IJCNN | Explainable Classifier Supporting Decision-making for Breast Cancer Diagnosis from Histopathological Images. | Patrik Sabol, Peter Sinck, Kana Ogawa, Pitoyo Hartono |
| 2017 | SMC | Cumulative fuzzy class membership criterion decision-based classifier. | Patrik Sabol, Peter Sincak, Jan Buca, Pitoyo Hartono |
| 2016 | SMC | A review of MF-ARTMAP toward an improvement classification accuracy using simulated annealing. | Jaroslav Ondo, Patrik Sabol, Peter Sincak, Pitoyo Hartono |
| 2014 | ICANN | Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network. | Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg |
| 2014 | SMC | Visualizing Learning Management System data using Context-Relevant Self-Organizing Map. | Pitoyo Hartono, Kayo Ogawa |
| 2013 | IJCNN | Classificability-regulated self-organizing map using restricted RBF. | Pitoyo Hartono, Thomas Trappenberg |
| 2011 | IJCNN | Ensemble of perceptrons with confidence measure for piecewise linear decomposition. | Pitoyo Hartono |
| 2011 | SMC | Internal topographical structure in training autonomous robot. | Pitoyo Hartono, Thomas Trappenberg |
| 2010 | HIS | Modular robot with adaptive connection topology. | Pitoyo Hartono, Aito Nakane |
| 2010 | IJCNN | Selective attention improves self-organization of cortical maps with multiple inputs. | Thomas Trappenberg, Aya Saito, Pitoyo Hartono |
| 2009 | SMC | Learning Intialized by Topologically Correct Representation. | Pitoyo Hartono, Thomas Trappenberg |
| 2008 | ICANN | Embedded Neural Network for Swarm Learning of Physical Robots. | Pitoyo Hartono, Sachiko Kakita |
| 2008 | SMC | Class-proximity SOM and its applications in classification. | Pitoyo Hartono, Aya Saito |
| 2007 | ICONIP | Interpretable Piecewise Linear Classifier. | Pitoyo Hartono |
| 2006 | HIS | Ensemble as a Piecewise Linear Classifier. | Pitoyo Hartono, Shuji Hashimoto |
| 2006 | IJCNN | Analysis of the Performance of Ensemble of Perceptrons. | Pitoyo Hartono, Shuji Hashimoto |
| 2005 | ICANN | Learning with Ensemble of Linear Perceptrons. | Pitoyo Hartono, Shuji Hashimoto |
| 2005 | ICASSP | Video Stream Retrieval Based on Temporal Feature of Frame Difference. | Mikito Toguro, Kenji Suzuki, Pitoyo Hartono, Shuji Hashimoto |
| 2004 | CEC | Labeled-GA with adaptive mutation rate. | Pitoyo Hartono, Shuji Hashimoto, Mattias Wahde |
| 2004 | HIS | Ensemble of Linear Perceptrons with Confidence Level Output. | Pitoyo Hartono, Shuji Hashimoto |
| 2003 | ICRA | Strategy acquirement by survival robots in outdoor environment. | Pitoyo Hartono, Keishiro Tabe, Kenji Suzuki, Shuji Hashimoto |
| 2001 | SMC | Migrational GA that preserves solutions in non-static optimization problems. | Pitoyo Hartono, Shuji Hashimoto |
| 2000 | IJCNN | Effective Learning in Noisy Environment Using Neural Network Ensemble. | Pitoyo Hartono, Shuji Hashimoto |
| 1999 | IJCNN | Neural network ensemble with temperature control. | Pitoyo Hartono, Shuji Hashimoto |