| 2025 | IJCNN | Accelerating Grid Search by Pruning. | Shigeo Abe |
| 2024 | IJCNN | Are Bounded Support Vectors Harmful to Stable Classification. | Shigeo Abe |
| 2023 | SMC | Training Minimal Complexity Support Vector Machines with Multiple Kernels. | Shigeo Abe |
| 2022 | IJCNN | Soft Upper-bound Support Vector Machines. | Shigeo Abe |
| 2021 | IJCNN | Soft Upper-bound Minimal Complexity LP SVMs. | Shigeo Abe |
| 2019 | IJCNN | Analyzing Minimal Complexity Machines. | Shigeo Abe |
| 2015 | IJCNN | Optimizing working sets for training support vector regressors by Newton's method. | Shigeo Abe |
| 2014 | ICANN | Incremental Input Variable Selection by Block Addition and Block Deletion. | Shigeo Abe |
| 2013 | SMC | Feature Selection by Iterative Block Addition and Block Deletion. | Shigeo Abe |
| 2012 | ICANN | Training Mahalanobis Kernels by Linear Programming. | Shigeo Abe |
| 2011 | ICANN | Fast Support Vector Training by Newton's Method. | Shigeo Abe |
| 2011 | ICMLA | Multiple Nonlinear Subspace Methods Using Subspace-based Support Vector Machines. | Takuya Kitamura, Shigeo Abe, Yusuke Tanaka |
| 2011 | SAC | Mining interlacing manifolds in high dimensional spaces. | Tao Ban, Changshui Zhang, Shigeo Abe, Takeshi Takahashi, Youki Kadobayashi |
| 2010 | ESANN | Active set training of support vector regressors. | Shigeo Abe |
| 2010 | ICANN | Convergence Improvement of Active Set Training for Support Vector Regressors. | Shigeo Abe, Ryousuke Yabuwaki |
| 2010 | ICONIP | Feature Extraction Using Support Vector Machines. | Yasuyuki Tajiri, Ryousuke Yabuwaki, Takuya Kitamura, Shigeo Abe |
| 2010 | IJCNN | Feature selection and fast training of subspace based support vector machines. | Takuya Kitamura, Syogo Takeuchi, Shigeo Abe |
| 2010 | IJCNN | Convergence improvement of active set support vector training. | Ryousuke Yabuwaki, Shigeo Abe |
| 2010 | PRICAI | A Fast Incremental Kernel Principal Component Analysis for Online Feature Extraction. | Seiichi Ozawa, Yohei Takeuchi, Shigeo Abe |
| 2009 | ESANN | Sparse support vector machines by kernel discriminant analysis. | Kazuki Iwamura, Shigeo Abe |
| 2009 | ICANN | Is Primal Better Than Dual. | Shigeo Abe |
| 2009 | IJCNN | Sparse kernel feature analysis using FastMap and its variants. | Tao Ban, Youki Kadobayashi, Shigeo Abe |
| 2009 | IJCNN | Subspace based least squares support vector machines for pattern classification. | Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui |
| 2009 | IJCNN | Sparse support vector regressors based on forward basis selection. | Shigenori Muraoka, Shigeo Abe |
| 2009 | IJCNN | Subspace based linear programming support vector machines. | Syogo Takeuchi, Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui |
| 2008 | ESANN | Comparison of sparse least squares support vector regressors trained in primal and dual. | Shigeo Abe |
| 2008 | ICANN | Batch Support Vector Training Based on Exact Incremental Training. | Shigeo Abe |
| 2008 | ICONIP | Improved Parameter Tuning Algorithms for Fuzzy Classifiers. | Kazuya Morikawa, Shigeo Abe |
| 2008 | IJCNN | Feature selection based on kernel discriminant analysis for multi-class problems. | Tsuneyoshi Ishii, Shigeo Abe |
| 2008 | IJCNN | Sparse support vector machines trained in the reduced empirical feature space. | Kazuki Iwamura, Shigeo Abe |
| 2007 | ESANN | Optimizing kernel parameters by second-order methods. | Shigeo Abe |
| 2007 | ICANN | Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space. | Shigeo Abe, Kenta Onishi |
| 2007 | ICANN | Fuzzy Classifiers Based on Kernel Discriminant Analysis. | Ryota Hosokawa, Shigeo Abe |
| 2007 | IJCNN | Backward Varilable Selection of Support Vector Regressors by Block Deletion. | Takashi Nagatani, Shigeo Abe |
| 2007 | IJCNN | An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection. | Yohei Takeuchi, Seiichi Ozawa, Shigeo Abe |
| 2006 | ICANN | Feature Selection Based on Kernel Discriminant Analysis. | Masamichi Ashihara, Shigeo Abe |
| 2006 | IJCNN | Implementing Multi-class Classifiers by One-class Classification Methods. | Tao Ban, Shigeo Abe |
| 2006 | IJCNN | An Incremental Learning Algorithm of Ensemble Classifier Systems. | Takuya Kidera, Seiichi Ozawa, Shigeo Abe |
| 2005 | ESANN | Modified backward feature selection by cross validation. | Shigeo Abe |
| 2005 | ICANN | Training of Support Vector Machines with Mahalanobis Kernels. | Shigeo Abe |
| 2005 | IJCNN | SVM ensembles for selecting the relevant feature subsets. | Tao Ban, Shigeo Abe |
| 2005 | IJCNN | Incremental learning for online face recognition. | Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola K. Kasabov |
| 2005 | SMC | Selecting Support Vector Candidates for Incremental Training. | Shinya Katagiri, Shigeo Abe |
| 2004 | ESANN | Fuzzy LP-SVMs for Multiclass Problems. | Shigeo Abe |
| 2004 | IJCNN | Spatially chunking support vector clustering algorithm. | Tao Ban, Shigeo Abe |
| 2004 | IJCNN | Why pairwise is better than one-against-all or all-at-once. | Daisuke Tsujinishi, Yoshiaki Koshiba, Shigeo Abe |
| 2003 | IJCNN | A kernel fuzzy classifier with ellipsoidal regions. | Kenichi Kaieda, Shigeo Abe |
| 2003 | IJCNN | Comparison of L1 and L2 support vector machines. | Yoshiaki Koshiba, Shigeo Abe |
| 2003 | IJCNN | A fast incremental learning algorithm of RBF networks with long-term memory. | Keisuke Okamoto, Seiichi Ozawa, Shigeo Abe |
| 2003 | IJCNN | Fuzzy least squares support vector machines. | Daisuke Tsujinishi, Shigeo Abe |
| 2002 | ESANN | Fuzzy support vector machines for multiclass problems. | Shigeo Abe, Takuya Inoue |
| 2002 | MVA | Advanced Image Retrieval Using Multi-resolution Image Content. | Motohide Yoshimura, Hajime Kiyose, Shigeo Abe |
| 2001 | ICANN | Fast Training of Support Vector Machines by Extracting Boundary Data. | Shigeo Abe, Takuya Inoue |
| 2000 | ICPR | Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions. | Shigeo Abe |
| 2000 | IJCNN | Fast Feature Selection by Analyzing Class Regions Approximated by Ellipsoids. | Kota Kawaratani, Shigeo Abe |
| 2000 | IJCNN | Robust Function Approximation Using Fuzzy Rules with Ellipsoidal Regions. | Hiroyasu Kubota, Hisashi Tamaki, Shigeo Abe |
| 2000 | IJCNN | Training Three-Layer Neural Network Classifiers by Solving Inequalities. | Naoki Tsuchiya, Seiichi Ozawa, Shigeo Abe |
| 1999 | CEC | A genetic algorithm approach to multi-objective scheduling problems with earliness and tardiness penalties. | Hisashi Tamaki, Etsuo Nishino, Shigeo Abe |
| 1998 | KES | Training of a fuzzy classifier with ellipsoidal regions by dynamic cluster generation. | Shigeo Abe |
| 1998 | KES | Rule acquisition based on hyperbox representation and its applications. | Ruck Thawonmas, Shigeo Abe |
| 1997 | ICONIP | Function Approximation with Partitioned Ellipsoidal Regions. | Ruck Thawonmas, Shigeo Abe |
| 1995 | IJCAI | Fuzzy Systems with Learning Capability. | Shigeo Abe |
| 1990 | IJCNN | Learning by parallel forward propagation. | Shigeo Abe |
| 1990 | IJCNN | Convergence of the Hopfield neural networks with inequality constraints. | Shigeo Abe |
| 1990 | MVA | Optimal Input Selection of Neural Networks by Sensitivity Analysis and Its Application to Image Recognition. | Hiroshi Takenaga, Shigeo Abe, Masao Takatoo, Masahiro Kayama, Tadaaki Kitamura, Yosiyuki Okuyama |
| 1988 | ICLP | Instruction Architecture for a High Performance Integrated Prolog Processor IPP. | Ken-ichi Kurosawa, S. Yamaguchi, Shigeo Abe, Tadaaki Bandoh |
| 1987 | ISCA | High Performance Integrated Prolog Processor IPP. | Shigeo Abe, Tadaaki Bandoh, S. Yamaguchi, Ken-ichi Kurosawa, Kaori Kiriyama |