| 2026 | AAAI | Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models. | Tianxiao Cao, Kyohei Atarashi, Hisashi Kashima |
| 2026 | ACL | MAPLE: Multi-Aspect Panels of LLM Evaluators for Open-Ended Questions. | Michinori Jinji, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima |
| 2026 | AIED | Estimating Learners' Skill Acquisition Without Temporal Information. | Ryosuke Nagai, Kyohei Atarashi, Koh Takeuchi, Jill-Jnn Vie, Hisashi Kashima |
| 2026 | ICPR | Privacy-Preserving Image Annotation by Large Multimodal Models. | Yuki Wakai, Kyohei Atarashi, Koh Takeuchi, Hisashi Kashima |
| 2026 | LAK | Robust Post-hoc Score Allocation in Exams. | Naoyuki Kita, Jill-Jnn Vie, Koh Takeuchi, Hisashi Kashima |
| 2026 | WACV | Model-free Domain Adaptation for Concealed Multimodal Large-Language Models. | Yu Mitsuzumi, Akisato Kimura, Hisashi Kashima |
| 2025 | ADMA | Neural Double Auction Mechanism. | Tsuyoshi Suehara, Koh Takeuchi, Hisashi Kashima, Satoshi Oyama, Yuko Sakurai, Makoto Yokoo |
| 2025 | ECAI | Learning Neural Strategy-Proof Matching Mechanism from Examples. | Ryota Maruo, Koh Takeuchi, Hisashi Kashima |
| 2025 | IJCNLP | Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems. | Lijia Liu, Takumi Kondo, Kyohei Atarashi, Koh Takeuchi, Jiyi Li, Shigeru Saito, Hisashi Kashima |
| 2025 | IJCNN | Flexible Source-free Domain Generalization via Domain Prompt-Discriminator Collaborative Learning. | Yu Mitsuzumi, Akisato Kimura, Hisashi Kashima |
| 2025 | PAKDD | Treatment Effect Estimation for Graph-Structured Targets. | Shonosuke Harada, Ryosuke Yoneda, Hisashi Kashima |
| 2025 | PRICAI | XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation. | Daichi Kimura, Tomonori Izumitani, Hisashi Kashima |
| 2025 | SAC | Cognitive Biases in Large Language Models: A Survey and Mitigation Experiments. | Yasuaki Sumita, Koh Takeuchi, Hisashi Kashima |
| 2025 | WACV | Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data. | Junki Mori, Kosuke Kihara, Taiki Miyagawa, Akinori F. Ebihara, Isamu Teranishi, Hisashi Kashima |
| 2024 | CIKM | Learning Counterfactual Explanations with Intervals for Time-series Classification. | Akihiro Yamaguchi, Ken Ueno, Ryusei Shingaki, Hisashi Kashima |
| 2024 | COLING | Evaluating Saliency Explanations in NLP by Crowdsourcing. | Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima |
| 2024 | CVPR | Understanding and Improving Source-Free Domain Adaptation from a Theoretical Perspective. | Yu Mitsuzumi, Akisato Kimura, Hisashi Kashima |
| 2024 | EMNLP | AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses. | Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima |
| 2024 | PAKDD | Treatment Effect Estimation Under Unknown Interference. | Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Hisashi Kashima |
| 2024 | PAKDD | Recovering Population Dynamics from a Single Point Cloud Snapshot. | Yuki Wakai, Koh Takeuchi, Hisashi Kashima |
| 2024 | PRIMA | Efficient Preference Elicitation in Iterative Combinatorial Auctions with Many Participants. | Ryota Maruo, Hisashi Kashima |
| 2023 | AAAI | Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning. | Guoxi Zhang, Hisashi Kashima |
| 2023 | AIES | Mitigating Voter Attribute Bias for Fair Opinion Aggregation. | Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima |
| 2023 | CIKM | Time-series Shapelets with Learnable Lengths. | Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima |
| 2023 | ICCE | Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model. | Jill-Jnn Vie, Hisashi Kashima |
| 2023 | ICONIP | Label Selection Approach to Learning from Crowds. | Kosuke Yoshimura, Hisashi Kashima |
| 2023 | KDD | QTNet: Theory-based Queue Length Prediction for Urban Traffic. | Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima |
| 2023 | KDD | Causal Effect Estimation on Hierarchical Spatial Graph Data. | Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi |
| 2023 | WWW | Multiview Representation Learning from Crowdsourced Triplet Comparisons. | Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima |
| 2022 | AAAI | Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. | Sein Minn, Jill-Jnn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu |
| 2022 | CIKM | Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2022 | DSAA | Improving Pairwise Rank Aggregation via Querying for Rank Difference. | Guoxi Zhang, Jiyi Li, Hisashi Kashima |
| 2022 | ICDE | Learning Evolvable Time-series Shapelets. | Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima |
| 2022 | ICML | Re-evaluating Word Mover's Distance. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2022 | ICPR | Mitigating Observation Biases in Crowdsourced Label Aggregation. | Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima |
| 2022 | KDD | Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. | Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima |
| 2022 | UAI | Feature selection for discovering distributional treatment effect modifiers. | Yoichi Chikahara, Makoto Yamada, Hisashi Kashima |
| 2022 | SDM | Learning Time-series Shapelets Enhancing Discriminability. | Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima |
| 2021 | AISTATS | Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. | Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima |
| 2021 | AISTATS | Regret Minimization for Causal Inference on Large Treatment Space. | Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima |
| 2021 | CIKM | GraphITE: Estimating Individual Effects of Graph-structured Treatments. | Shonosuke Harada, Hisashi Kashima |
| 2021 | EACL | Computationally Efficient Wasserstein Loss for Structured Labels. | Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada |
| 2021 | ICONIP | Label Aggregation for Crowdsourced Triplet Similarity Comparisons. | Jiyi Li, Lucas Ryo Endo, Hisashi Kashima |
| 2021 | KDD | Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. | Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima |
| 2021 | PAKDD | Causal Combinatorial Factorization Machines for Set-Wise Recommendation. | Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima |
| 2021 | SDM | Random Features Strengthen Graph Neural Networks. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2020 | DSAA | Stress Prediction from Head Motion. | Hitoshi Kusano, Yuji Horiguchi, Yukino Baba, Hisashi Kashima |
| 2020 | DSAA | Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. | Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima |
| 2020 | ECAI | Topological Bayesian Optimization with Persistence Diagrams. | Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada |
| 2020 | HCOMP | CrowDEA: Multi-View Idea Prioritization with Crowds. | Yukino Baba, Jiyi Li, Hisashi Kashima |
| 2020 | ICML | Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. | Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima |
| 2020 | ICPR | An Intransitivity Model for Matchup and Pairwise Comparison. | Yan Gu, Jiuding Duan, Hisashi Kashima |
| 2020 | IJCAI | Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization. | Jiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima |
| 2019 | AAAI | Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. | Jill-Jnn Vie, Hisashi Kashima |
| 2019 | ACML | Active Change-Point Detection. | Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima |
| 2019 | ACML | Learning to Sample Hard Instances for Graph Algorithms. | Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2019 | EDM | Probabilistic Modeling of Peer Correction and Peer Assessment. | Takeru Sunahase, Yukino Baba, Hisashi Kashima |
| 2019 | ICANN | Interdependence Model for Multi-label Classification. | Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima |
| 2019 | ICASSP | Crownn: Human-in-the-loop Network with Crowd-generated Inputs. | Yusuke Sakata, Yukino Baba, Hisashi Kashima |
| 2019 | IJCNN | Long-Term Prediction of Small Time-Series Data Using Generalized Distillation. | Shogo Hayashi, Akira Tanimoto, Hisashi Kashima |
| 2019 | RecSys | Context-Regularized Neural Collaborative Filtering for Game App Recommendation. | Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima |
| 2019 | SMC | Large-scale Driver Identification Using Automobile Driving Data. | Daiki Tanaka, Yukino Baba, Hisashi Kashima, Yuta Okubo |
| 2018 | AAAI | Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. | Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima |
| 2018 | AAAI | Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests. | Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo |
| 2018 | AAAI | AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. | Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima |
| 2018 | ICANN | Incorporating Worker Similarity for Label Aggregation in Crowdsourcing. | Jiyi Li, Yukino Baba, Hisashi Kashima |
| 2018 | ICANN | Short-Term Precipitation Prediction with Skip-Connected PredNet. | Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto |
| 2018 | ICONIP | BayesGrad: Explaining Predictions of Graph Convolutional Networks. | Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima |
| 2018 | IJCAI | Simultaneous Clustering and Ranking from Pairwise Comparisons. | Jiyi Li, Yukino Baba, Hisashi Kashima |
| 2018 | PAKDD | Payload-Based Statistical Intrusion Detection for In-Vehicle Networks. | Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Jun'ichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima |
| 2018 | PAKDD | On Reducing Dimensionality of Labeled Data Efficiently. | Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima |
| 2017 | AAAI | Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. | Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno |
| 2017 | AAAI | Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU. | Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka |
| 2017 | AAAI | Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. | Takeru Sunahase, Yukino Baba, Hisashi Kashima |
| 2017 | CIKM | Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing. | Jiyi Li, Yukino Baba, Hisashi Kashima |
| 2017 | ICDAR | Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. | Jill-Jnn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kvin Cocchi, Thomas Chalumeau, Hisashi Kashima |
| 2017 | ICDM | Autoregressive Tensor Factorization for Spatio-Temporal Predictions. | Koh Takeuchi, Hisashi Kashima, Naonori Ueda |
| 2017 | ICONIP | Atomic Distance Kernel for Material Property Prediction. | Hirotaka Akita, Yukino Baba, Hisashi Kashima, Atsuto Seko |
| 2017 | ICONIP | Quality Control for Crowdsourced Multi-label Classification Using RAkEL. | Kosuke Yoshimura, Yukino Baba, Hisashi Kashima |
| 2017 | PAKDD | A Generalized Model for Multidimensional Intransitivity. | Jiuding Duan, Jiyi Li, Yukino Baba, Hisashi Kashima |
| 2017 | WISE | Iterative Reduction Worker Filtering for Crowdsourced Label Aggregation. | Jiyi Li, Hisashi Kashima |
| 2016 | ECAI | Link Prediction by Incidence Matrix Factorization. | Sho Yokoi, Hiroshi Kajino, Hisashi Kashima |
| 2016 | ICANN | Learning to Enumerate. | Patrick Jrger, Yukino Baba, Hisashi Kashima |
| 2016 | IJCAI | Progressive Comparison for Ranking Estimation. | Ryusuke Takahama, Toshihiro Kamishima, Hisashi Kashima |
| 2015 | COLT | Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. | Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa |
| 2015 | DSAA | From one star to three stars: Upgrading legacy open data using crowdsourcing. | Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima |
| 2015 | ICDM | Quality Control for Crowdsourced Hierarchical Classification. | Naoki Otani, Yukino Baba, Hisashi Kashima |
| 2015 | KDD | Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. | Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima |
| 2015 | KDD | Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care. | Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Hiroshi Ikai, Yuichi Imanaka |
| 2015 | PAKDD | Quality Control for Crowdsourced POI Collection. | Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima |
| 2015 | SMC | Quantum Energy Prediction Using Graph Kernel. | Jiuding Duan, Atsuto Seko, Hisashi Kashima |
| 2014 | DSAA | Crowdsourced data analytics: A case study of a predictive modeling competition. | Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima |
| 2014 | HCOMP | Crowdsourced Data Analytics: A Case Study of a Predictive Modeling Competition. | Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima |
| 2014 | HCOMP | Quality Control for Crowdsourced Enumeration Tasks. | Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima |
| 2014 | HCOMP | Instance-Privacy Preserving Crowdsourcing. | Hiroshi Kajino, Yukino Baba, Hisashi Kashima |
| 2014 | ICML | Latent Confusion Analysis by Normalized Gamma Construction. | Issei Sato, Hisashi Kashima, Hiroshi Nakagawa |
| 2014 | ICONIP | A Label Completion Approach to Crowd Approximation. | Toshihiro Watanabe, Hisashi Kashima |
| 2014 | PAKDD | Crowdordering. | Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima |
| 2013 | AAAI | Clustering Crowds. | Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima |
| 2013 | HCOMP | Statistical Quality Estimation for General Crowdsourcing Tasks. | Yukino Baba, Hisashi Kashima |
| 2013 | HCOMP | Crowdsourcing Quality Control for Item Ordering Tasks. | Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima |
| 2013 | HCOMP | EM-Based Inference of True Labels Using Confidence Judgments. | Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima |
| 2013 | IAAI | Leveraging Crowdsourcing to Detect Improper Tasks in Crowdsourcing Marketplaces. | Yukino Baba, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi, Yosuke Akiyoshi |
| 2013 | IJCAI | Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores. | Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima |
| 2013 | KDD | Statistical quality estimation for general crowdsourcing tasks. | Yukino Baba, Hisashi Kashima |
| 2013 | PAKDD | Matrix Factorization With Aggregated Observations. | Yoshifumi Aimoto, Hisashi Kashima |
| 2012 | AAAI | A Convex Formulation for Learning from Crowds. | Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima |
| 2012 | AAAI | Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach. | Nozomi Nori, Danushka Bollegala, Hisashi Kashima |
| 2012 | HCOMP | Learning from Crowds and Experts. | Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima |
| 2012 | ICDM | Generalized Expansion Dimension. | Michael E. Houle, Hisashi Kashima, Michael Nett |
| 2012 | ICML | Fast Computation of Subpath Kernel for Trees. | Daisuke Kimura, Hisashi Kashima |
| 2012 | ICPR | Hash-based structural similarity for semi-supervised Learning on attribute graphs. | Shohei Hido, Hisashi Kashima |
| 2012 | SISAP | Fast Similarity Computation in Factorized Tensors. | Michael E. Houle, Hisashi Kashima, Michael Nett |
| 2011 | AAAI | Fast Newton-CG Method for Batch Learning of Conditional Random Fields. | Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki |
| 2011 | ICDM | Cross-Temporal Link Prediction. | Satoshi Oyama, Kohei Hayashi, Hisashi Kashima |
| 2011 | ICDM | A New Multi-task Learning Method for Personalized Activity Recognition. | Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li |
| 2011 | PAKDD | A Subpath Kernel for Rooted Unordered Trees. | Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima |
| 2011 | PAKDD | Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training. | Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda |
| 2010 | ICDM | Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method. | Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda |
| 2010 | ICML | Nonparametric Return Distribution Approximation for Reinforcement Learning. | Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka |
| 2010 | ICML | A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices. | Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima |
| 2010 | PAKDD | Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph. | Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese |
| 2010 | UAI | Parametric Return Density Estimation for Reinforcement Learning. | Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka |
| 2009 | ICDM | A Linear-Time Graph Kernel. | Shohei Hido, Hisashi Kashima |
| 2009 | ICRA | Least absolute policy iteration for robust value function approximation. | Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura |
| 2009 | PAKDD | On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. | Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda |
| 2009 | SDM | Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. | Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda |
| 2008 | COLING | Training Conditional Random Fields Using Incomplete Annotations. | Yuta Tsuboi, Hisashi Kashima, Shinsuke Mori, Hiroki Oda, Yuji Matsumoto |
| 2008 | ICDM | Inlier-Based Outlier Detection via Direct Density Ratio Estimation. | Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori |
| 2008 | ICPR | K-means clustering of proportional data using L1 distance. | Hisashi Kashima, Jianying Hu, Bonnie K. Ray, Moninder Singh |
| 2008 | ICPR | Regression with interval output values. | Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuchi, Hiroto Saigo |
| 2008 | ICPR | A new objective function for sequence labeling. | Yuta Tsuboi, Hisashi Kashima |
| 2008 | PAKDD | Unsupervised Change Analysis Using Supervised Learning. | Shohei Hido, Tsuyoshi Id, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa |
| 2008 | SDM | Roughly Balanced Bagging for Imbalanced Data. | Shohei Hido, Hisashi Kashima |
| 2008 | SDM | Integration of Multiple Networks for Robust Label Propagation. | Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama |
| 2008 | SDM | Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. | Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama |
| 2006 | ICDM | A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. | Hisashi Kashima, Naoki Abe |
| 2006 | SDM | Risk-Sensitive Learning via Expected Shortfall Minimization. | Hisashi Kashima |
| 2005 | ICDE | Network-Based Problem Detection for Distributed Systems. | Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Id, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda |
| 2004 | ICML | Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs. | Hisashi Kashima, Yuta Tsuboi |
| 2004 | KDD | Eigenspace-based anomaly detection in computer systems. | Tsuyoshi Id, Hisashi Kashima |
| 2003 | ICDM | Mining Significant Pairs of Patterns from Graph Structures with Class Labels. | Akihiro Inokuchi, Hisashi Kashima |
| 2003 | ICML | Marginalized Kernels Between Labeled Graphs. | Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi |
| 2002 | ICML | Kernels for Semi-Structured Data. | Hisashi Kashima, Teruo Koyanagi |