| 2024 | ICPR | R-LIME: Rectangular Constraints and Optimization for Local Interpretable Model-agnostic Explanation Methods. | Genji Ohara, Keigo Kimura, Mineichi Kudo |
| 2023 | ECAI | Structured Sparse Multi-Task Learning with Generalized Group Lasso. | Luhuan Fei, Lu Sun, Mineichi Kudo, Keigo Kimura |
| 2023 | ECAI | Grouped Multi-Task Learning with Hidden Tasks Enhancement. | Jiachun Jin, Jiankun Wang, Lu Sun, Jie Zheng, Mineichi Kudo |
| 2023 | ICDM | Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization. | Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura |
| 2023 | PRICAI | Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels. | Zhiwei Li, Zijian Yang, Lu Sun, Mineichi Kudo, Keigo Kimura |
| 2023 | PRICAI | Partial Multi-label Learning with a Few Accurately Labeled Data. | Haruhi Mizuguchi, Keigo Kimura, Mineichi Kudo, Lu Sun |
| 2022 | ICPR | Sensor Data Simulation with Wandering Behavior for the Elderly Living Alone. | Kai Tanaka, Mineichi Kudo, Keigo Kimura |
| 2022 | SSPR | Retargeted Regression Methods for Multi-label Learning. | Keigo Kimura, Jiaqi Bao, Mineichi Kudo, Lu Sun |
| 2022 | SSPR | Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings. | Mineichi Kudo, Keigo Kimura, Shumpei Morishita, Lu Sun |
| 2022 | SSPR | Realization of Autoencoders by Kernel Methods. | Shumpei Morishita, Mineichi Kudo, Keigo Kimura, Lu Sun |
| 2021 | DASFAA | MLSH: Mixed Hash Function Family for Approximate Nearest Neighbor Search in Multiple Fractional Metrics. | Kejing Lu, Mineichi Kudo |
| 2020 | ACML | Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier. | Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo |
| 2020 | ICDE | R2LSH: A Nearest Neighbor Search Scheme Based on Two-dimensional Projected Spaces. | Kejing Lu, Mineichi Kudo |
| 2019 | CIARP | A Supervised Laplacian Eigenmap Algorithm for Visualization of Multi-label Data: SLE-ML. | Mariko Tai, Mineichi Kudo |
| 2016 | ECAI | A Scalable Clustering-Based Local Multi-Label Classification Method. | Lu Sun, Mineichi Kudo, Keigo Kimura |
| 2016 | ICANN | Reducing Redundancy with Unit Merging for Self-constructive Normalized Gaussian Networks. | Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto |
| 2016 | ICONIP | Online EM for the Normalized Gaussian Network with Weight-Time-Dependent Updates. | Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto |
| 2016 | ICPR | Fast random k-labELsets for large-scale multi-label classification. | Keigo Kimura, Mineichi Kudo, Lu Sun, Sadamori Koujaku |
| 2016 | ICPR | Simultaneous visualization of samples, features and multi-labels. | Mineichi Kudo, Keigo Kimura, Michal Haindl, Hiroshi Tenmoto |
| 2016 | ICPR | Locality in multi-label classification problems. | Batzaya Norov-Erdene, Mineichi Kudo, Lu Sun, Keigo Kimura |
| 2016 | ICPR | Multi-label classification with meta-label-specific features. | Lu Sun, Mineichi Kudo, Keigo Kimura |
| 2016 | ICPR | Location-associated indoor behavior analysis of multiple persons. | Syota Suzuuchi, Mineichi Kudo |
| 2016 | SSPR | Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification. | Keigo Kimura, Mineichi Kudo, Lu Sun |
| 2015 | CAIP | Unsupervised Surface Reflectance Field Multi-segmenter. | Michal Haindl, Stanislav Mikes, Mineichi Kudo |
| 2015 | DIS | An Algorithm for Influence Maximization in a Two-Terminal Series Parallel Graph and its Application to a Real Network. | Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo |
| 2015 | ICDM | Variable Selection for Efficient Nonnegative Tensor Factorization. | Keigo Kimura, Mineichi Kudo |
| 2015 | IJCAI | Polytree-Augmented Classifier Chains for Multi-Label Classification. | Lu Sun, Mineichi Kudo |
| 2015 | WWW | Community Change Detection in Dynamic Networks in Noisy Environment. | Sadamori Koujaku, Mineichi Kudo, Ichigaku Takigawa, Hideyuki Imai |
| 2014 | ACCV | Privacy Preserving Multi-target Tracking. | Anton Milan, Stefan Roth, Konrad Schindler, Mineichi Kudo |
| 2014 | ACML | A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization. | Keigo Kimura, Yuzuru Tanaka, Mineichi Kudo |
| 2014 | ACML | Theoretical Analyses on Ensemble and Multiple Kernel Regressors. | Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo |
| 2014 | ICPR | Selection of Features in Accord with Population Drift. | Hiroshi Tsukioka, Mineichi Kudo |
| 2014 | SSPR | Analyses on Generalization Error of Ensemble Kernel Regressors. | Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo |
| 2013 | ASRU | Acoustic characteristics related to the perceptual pitch in whispered vowels. | Hideaki Konno, Hideo Kanemitsu, Nobuyuki Takahashi, Mineichi Kudo |
| 2013 | CIARP | Weighted Nave Bayes Classifiers by Renyi Entropy. | Tomomi Endo, Mineichi Kudo |
| 2012 | DIS | Fast Approximation Algorithm for the 1-Median Problem. | Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo |
| 2012 | ICPR | Action recognition via sparse representation of characteristic frames. | Guoliang Lu, Mineichi Kudo, Jun Toyama |
| 2012 | ICPR | Camera view usage of binary infrared sensors for activity recognition. | Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama |
| 2012 | ISDA | Weighted nave Bayes classifier on categorical features. | Kazuhiro Omura, Mineichi Kudo, Tomomi Endo, Tetsuya Murai |
| 2012 | ISDA | Speech rate change detection in martingale framework. | Hironobu Yasuda, Mineichi Kudo |
| 2012 | SSPR | Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric. | Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo |
| 2011 | CAIP | Hierarchical Foreground Detection in Dynamic Background. | Guoliang Lu, Mineichi Kudo, Jun Toyama |
| 2011 | CAIP | Person Localization and Soft Authentication Using an Infrared Ceiling Sensor Network. | Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama |
| 2011 | GRC | A practical comparison of edit distance approximation algorithms. | Hiroyuki Hanada, Atsuyoshi Nakamura, Mineichi Kudo |
| 2011 | GRC | Robust human pose estimation from corrupted images with partial occlusions and noise pollutions. | Guoliang Lu, Mineichi Kudo, Jun Toyama |
| 2011 | GRC | Fatigue detection using a pressure sensor chair. | Hisataka Nakane, Jun Toyama, Mineichi Kudo |
| 2011 | GRC | Attribute value reduction for gaining simpler rules. | Kazuhiro Omura, Kazuaki Aoki, Mineichi Kudo |
| 2011 | GRC | Efficient construction and usefulness of hyper-rectangle greedy covers. | Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo |
| 2011 | GRC | Recording the Activities of Daily Living based on person localization using an infrared ceiling sensor network. | Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama |
| 2011 | ICASSP | Theoretical analyses on a class of nested RKHS's. | Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
| 2011 | PAKDD | Packing Alignment: Alignment for Sequences of Various Length Events. | Atsuyoshi Nakamura, Mineichi Kudo |
| 2010 | ALT | Algorithms for Adversarial Bandit Problems with Multiple Plays. | Taishi Uchiya, Atsuyoshi Nakamura, Mineichi Kudo |
| 2010 | ICPR | Margin Preserved Approximate Convex Hulls for Classification. | Tetsuji Takahashi, Mineichi Kudo |
| 2010 | ICPR | A Relationship Between Generalization Error and Training Samples in Kernel Regressors. | Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
| 2010 | SPIRE | Algorithms for Finding a Minimum Repetition Representation of a String. | Atsuyoshi Nakamura, Tomoya Saito, Ichigaku Takigawa, Hiroshi Mamitsuka, Mineichi Kudo |
| 2010 | SSPR | Localized Projection Learning. | Kazuki Tsuji, Mineichi Kudo, Akira Tanaka |
| 2009 | CIARP | Classifier Selection in a Family of Polyhedron Classifiers. | Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura |
| 2009 | KES | A Fast Nearest Neighbor Method Using Empirical Marginal Distribution. | Mineichi Kudo, Jun Toyama, Hideyuki Imai |
| 2008 | ICDM | What Sperner Family Concept Class is Easy to Be Enumerated? | Atsuyoshi Nakamura, Mineichi Kudo |
| 2008 | ICPR | Sitting posture analysis by pressure sensors. | Kazuhiro Kamiya, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama |
| 2008 | ICPR | Classification by reflective convex hulls. | Mineichi Kudo, Atsuyoshi Nakamura, Ichigaku Takigawa |
| 2008 | ICPR | Classification by bagged consistent itemset rules. | Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura |
| 2008 | SSPR | Feature and Classifier Selection in Class Decision Trees. | Kazuaki Aoki, Mineichi Kudo |
| 2008 | SSPR | Behavior Analysis of Volume Prototypes in High Dimensionality. | Maiko Sato, Mineichi Kudo, Jun Toyama |
| 2008 | SSPR | Bagging, Random Subspace Method and Biding. | Satoshi Shirai, Mineichi Kudo, Atsuyoshi Nakamura |
| 2008 | SSPR | Optimal Kernel in a Class of Kernels with an Invariant Metric. | Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
| 2008 | SSPR | Soft Feature Selection by Using a Histogram-Based Classifier. | Hiroshi Tenmoto, Mineichi Kudo |
| 2007 | DIS | Mining Subtrees with Frequent Occurrence of Similar Subtrees. | Hisashi Tosaka, Atsuyoshi Nakamura, Mineichi Kudo |
| 2006 | ICPR | Hipprint Person Identification and Behavior Analys. | Masafumi Yamada, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama |
| 2006 | SSPR | Model Selection Using a Class of Kernels with an Invariant Metric. | Akira Tanaka, Masashi Sugiyama, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
| 2005 | ICDE | A Comparative Study of Algorithms for Finding Web Communities. | Hidehiko Ino, Mineichi Kudo, Atsuyoshi Nakamura |
| 2005 | KES | Entropy Criterion for Classifier-Independent Feature Selection. | Naoto Abe, Mineichi Kudo |
| 2005 | KES | Empirical Study on Usefulness of Algorithm SACwRApper for Reputation Extraction from the WWW. | Hiroyuki Hasegawa, Mineichi Kudo, Atsuyoshi Nakamura |
| 2005 | KES | Person Tracking with Infrared Sensors. | Taisuke Hosokawa, Mineichi Kudo |
| 2005 | KES | Finding and Auto-labeling of Task Groups on E-Mails and Documents. | Hiroshi Tenmoto, Mineichi Kudo |
| 2005 | KES | Person Recognition by Pressure Sensors. | Masafumi Yamada, Jun Toyama, Mineichi Kudo |
| 2005 | PAKDD | Mining Frequent Trees with Node-Inclusion Constraints. | Atsuyoshi Nakamura, Mineichi Kudo |
| 2005 | WWW | Partitioning of Web graphs by community topology. | Hidehiko Ino, Mineichi Kudo, Atsuyoshi Nakamura |
| 2004 | ICPR | A Gaussian Mixture-Based Colour Texture Model. | Michal Haindl, Jir Grim, Petr Somol, Pavel Pudil, Mineichi Kudo |
| 2004 | KES | Projection Learning Based Kernel Machine Design Using Series of Monotone Increasing Reproducing Kernel Hilbert Spaces. | Akira Tanaka, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masaaki Miyakoshi |
| 2004 | KES | Combination of Weak Evidences by D-S Theory for Person Recognition. | Masafumi Yamada, Mineichi Kudo |
| 2004 | SSPR | A Nearest Neighbor Method Using Bisectors. | Mineichi Kudo, Hideyuki Imai, Akira Tanaka, Tetsuya Murai |
| 2004 | SSPR | Classifier-Independent Visualization of Supervised Data Structures Using a Graph. | Hiroshi Tenmoto, Yasukuni Mori, Mineichi Kudo |
| 2003 | DIS | Collaborative Filtering Using Projective Restoration Operators. | Atsuyoshi Nakamura, Mineichi Kudo, Akira Tanaka, Kazuhiko Tanabe |
| 2002 | SSPR | Classifier-Independent Feature Selection Based on Non-parametric Discriminant Analysis. | Naoto Abe, Mineichi Kudo, Masaru Shimbo |
| 2002 | SSPR | Decision Tree Using Class-Dependent Feature Subsets. | Kazuaki Aoki, Mineichi Kudo |
| 2000 | ICPR | A Histogram-Based Classifier on Overlapped Bins. | Mineichi Kudo, Hideyuki Imai, Masaru Shimbo |
| 2000 | SSPR | A Divergence Criterion for Classifier-Independent Feature Selection. | Naoto Abe, Mineichi Kudo, Jun Toyama, Masaru Shimbo |
| 2000 | SSPR | Comparison of Classifier-Specific Feature Selection Algorithms. | Mineichi Kudo, Petr Somol, Pavel Pudil, Masaru Shimbo, Jack Sklansky |
| 2000 | SSPR | Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers. | Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo |
| 1999 | KES | Geometry reconstruction of urban scenes by tracking vertical edges. | Tomohiko Gotoh, Mineichi Kudo, Jun Toyama, Masaru Shimbo |
| 1999 | KES | Estimation of velocity vectors from a video stream using discontinuity of optical flow. | Hiroki Hayashi, Mineichi Kudo, Jun Toyama, Masaru Shimbo |
| 1999 | KES | Effective sampling points for two-channel spline image coding. | Masanori Kawakami, Mineichi Kudo, Jun Toyama, Masaru Shimbo |
| 1999 | KES | Tabu search for solving optimization problems on Hopfield neural networks. | J. Konishi, S. Shimba, Jun Toyama, Mineichi Kudo, Masaru Shimbo |
| 1999 | KES | Termination conditions for a fast k-nearest neighbor method. | Naoto Masuyama, Mineichi Kudo, Jun Toyama, Masaru Shimbo |
| 1999 | KES | Determination of the number of components based on class separability in mixture-based classifiers. | Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo |
| 1998 | ICPR | A subclass-based mixture model for pattern recognition. | Mineichi Kudo, Hiroshi Tenmoto, Satoru Sumiyoshi, Masaru Shimbo |
| 1998 | ICPR | Visualization of the structure of classes using a graph. | Yasukuni Mori, Mineichi Kudo, Jun Toyama, Masaru Shimbo |
| 1998 | KES | Appropriate initial component densities of mixture modeling for pattern recognition. | Mineichi Kudo, F. Taniguchi, Hiroshi Tenmoto, Masaru Shimbo |
| 1998 | KES | Polynomial-sample learnability about distance-0 and 1 DNF formulas. | Shinichi Yanagi, Mineichi Kudo, Masaru Shimbo |
| 1998 | SSPR | Classifier-Independent Feature Selection For Two-Stage Feature Selection. | Mineichi Kudo, Jack Sklansky |
| 1998 | SSPR | Feature Selection For a Nonlinear Classifier. | Maiko Sato, Mineichi Kudo, Jun Toyama, Masaru Shimbo |
| 1998 | SSPR | MDL-Based Selection of the Number of Components in Mixture Models for Pattern Classification. | Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo |
| 1997 | KES | Estimation of class regions in feature space using rough set theory. | F. Taniguchi, Mineichi Kudo, Masaru Shimbo |
| 1996 | ICPR | Selection of classifiers based on the MDL principle using the VC dimension. | Mineichi Kudo, Masaru Shimbo |