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Journal Articles
- 2024
- [j38]Shonosuke Harada, Hisashi Kashima:
InfoCEVAE: treatment effect estimation with hidden confounding variables matching. Mach. Learn. 113(4): 1799-1817 (2024) - [j37]Guoxi Zhang
, Hisashi Kashima:
Learning state importance for preference-based reinforcement learning. Mach. Learn. 113(4): 1885-1901 (2024) - 2023
- [j36]Yoichi Chikahara
, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima:
Making individually fair predictions with causal pathways. Data Min. Knowl. Discov. 37(4): 1327-1373 (2023) - 2022
- [j35]Akira Tanimoto
, So Yamada
, Takashi Takenouchi, Masashi Sugiyama
, Hisashi Kashima:
Improving imbalanced classification using near-miss instances. Expert Syst. Appl. 201: 117130 (2022) - [j34]Ryoma Sato
, Makoto Yamada
, Hisashi Kashima:
Poincare: Recommending Publication Venues via Treatment Effect Estimation. J. Informetrics 16(2): 101283 (2022) - [j33]Shogo Hayashi
, Junya Honda, Hisashi Kashima:
Bayesian optimization with partially specified queries. Mach. Learn. 111(3): 1019-1048 (2022) - [j32]Maya Okawa
, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima:
Context-aware spatio-temporal event prediction via convolutional Hawkes processes. Mach. Learn. 111(8): 2929-2950 (2022) - [j31]Ryoma Sato
, Makoto Yamada
, Hisashi Kashima:
Constant Time Graph Neural Networks. ACM Trans. Knowl. Discov. Data 16(5): 92:1-92:31 (2022) - 2021
- [j30]Jiuding Duan
, Hisashi Kashima:
Learning to Rank for Multi-Step Ahead Time-Series Forecasting. IEEE Access 9: 49372-49386 (2021) - 2020
- [j29]Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima:
Dual graph convolutional neural network for predicting chemical networks. BMC Bioinform. 21-S(3): 94 (2020) - [j28]Shun Ito, Yukino Baba, Tetsu Isomura
, Hisashi Kashima:
Synthetic accessibility assessment using auxiliary responses. Expert Syst. Appl. 145: 113106 (2020) - 2018
- [j27]Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Jun'ichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima:
Supervised and Unsupervised Intrusion Detection Based on CAN Message Frequencies for In-vehicle Network. J. Inf. Process. 26: 306-313 (2018) - 2017
- [j26]Sho Yokoi, Hiroshi Kajino, Hisashi Kashima:
Link Prediction in Sparse Networks by Incidence Matrix Factorization. J. Inf. Process. 25: 477-485 (2017) - 2016
- [j25]Naoki Otani
, Yukino Baba, Hisashi Kashima:
Quality control of crowdsourced classification using hierarchical class structures. Expert Syst. Appl. 58: 155-163 (2016) - [j24]Yukino Baba
, Kei Kinoshita, Hisashi Kashima:
Participation recommendation system for crowdsourcing contests. Expert Syst. Appl. 58: 174-183 (2016) - [j23]Satoshi Oyama
, Yukino Baba
, Ikki Ohmukai
, Hiroaki Dokoshi, Hisashi Kashima
:
Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable. Int. J. Data Sci. Anal. 2(1-2): 45-60 (2016) - 2014
- [j22]Hiroshi Kajino, Hiromi Arai, Hisashi Kashima:
Preserving worker privacy in crowdsourcing. Data Min. Knowl. Discov. 28(5-6): 1314-1335 (2014) - [j21]Yukino Baba, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi, Yosuke Akiyoshi:
Leveraging non-expert crowdsourcing workers for improper task detection in crowdsourcing marketplaces. Expert Syst. Appl. 41(6): 2678-2687 (2014) - 2013
- [j20]Hiroto Saigo
, Hisashi Kashima, Koji Tsuda:
Fast Iterative Mining Using Sparsity-Inducing Loss Functions. IEICE Trans. Inf. Syst. 96-D(8): 1766-1773 (2013) - [j19]Xu Sun, Hisashi Kashima, Naonori Ueda:
Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning. IEEE Trans. Knowl. Data Eng. 25(11): 2551-2563 (2013) - 2012
- [j18]Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima:
Tensor factorization using auxiliary information. Data Min. Knowl. Discov. 25(2): 298-324 (2012) - [j17]Junichiro Mori
, Yuya Kajikawa
, Hisashi Kashima, Ichiro Sakata
:
Machine learning approach for finding business partners and building reciprocal relationships. Expert Syst. Appl. 39(12): 10402-10407 (2012) - [j16]Satoshi Oyama, Kohei Hayashi, Hisashi Kashima:
Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. IEICE Trans. Inf. Syst. 95-D(11): 2664-2673 (2012) - 2011
- [j15]Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori:
Statistical outlier detection using direct density ratio estimation. Knowl. Inf. Syst. 26(2): 309-336 (2011) - 2010
- [j14]Hiroto Saigo
, Masahiro Hattori
, Hisashi Kashima, Koji Tsuda:
Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism. BMC Bioinform. 11(S-1): 31 (2010) - [j13]Yosuke Ozawa, Rintaro Saito, Shigeo Fujimori, Hisashi Kashima, Masamichi Ishizaka, Hiroshi Yanagawa, Etsuko Miyamoto-Sato, Masaru Tomita:
Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions. BMC Bioinform. 11: 350 (2010) - [j12]Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura:
Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation. IEICE Trans. Inf. Syst. 93-D(9): 2555-2565 (2010) - [j11]Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda:
Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel. IEICE Trans. Inf. Syst. 93-D(10): 2672-2679 (2010) - [j10]Tsuyoshi Kato, Kinya Okada, Hisashi Kashima, Masashi Sugiyama:
A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference. Int. J. Knowl. Discov. Bioinform. 1(1): 66-80 (2010) - [j9]Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai:
Conic Programming for Multitask Learning. IEEE Trans. Knowl. Data Eng. 22(7): 957-968 (2010) - 2009
- [j8]Hisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, Masashi Sugiyama, Koji Tsuda:
Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach. Bioinform. 25(22): 2962-2968 (2009) - [j7]Hisashi Kashima, Tsuyoshi Idé
, Tsuyoshi Kato, Masashi Sugiyama:
Recent Advances and Trends in Large-Scale Kernel Methods. IEICE Trans. Inf. Syst. 92-D(7): 1338-1353 (2009) - [j6]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. J. Inf. Process. 17: 138-155 (2009) - [j5]Shohei Hido, Hisashi Kashima, Yutaka Takahashi:
Roughly balanced bagging for imbalanced data. Stat. Anal. Data Min. 2(5-6): 412-426 (2009) - [j4]Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama:
Robust Label Propagation on Multiple Networks. IEEE Trans. Neural Networks 20(1): 35-44 (2009) - 2007
- [j3]Hisashi Kashima:
Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk. IEICE Trans. Inf. Syst. 90-D(12): 2043-2052 (2007) - [j2]Tetsuji Kuboyama, Kouichi Hirata, Hisashi Kashima, Kiyoko F. Aoki-Kinoshita, Hiroshi Yasuda:
A Spectrum Tree Kernel. Inf. Media Technol. 2(1): 292-299 (2007) - 2004
- [j1]Tetsuo Shibuya, Hisashi Kashima, Akihiko Konagaya:
Efficient filtering methods for clustering cDNAs with spliced sequence alignment. Bioinform. 20(1): 29-39 (2004)
Conference and Workshop Papers
- 2024
- [c153]Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima:
Evaluating Saliency Explanations in NLP by Crowdsourcing. LREC/COLING 2024: 6431-6443 - [c152]Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Hisashi Kashima:
Treatment Effect Estimation Under Unknown Interference. PAKDD (2) 2024: 28-42 - [c151]Yuki Wakai, Koh Takeuchi, Hisashi Kashima:
Recovering Population Dynamics from a Single Point Cloud Snapshot. PAKDD (3) 2024: 302-315 - 2023
- [c150]Guoxi Zhang, Hisashi Kashima:
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning. AAAI 2023: 11201-11209 - [c149]Ryosuke Ueda
, Koh Takeuchi
, Hisashi Kashima
:
Mitigating Voter Attribute Bias for Fair Opinion Aggregation. AIES 2023: 170-180 - [c148]Akihiro Yamaguchi
, Ken Ueno
, Hisashi Kashima
:
Time-series Shapelets with Learnable Lengths. CIKM 2023: 2866-2876 - [c147]Kosuke Yoshimura, Hisashi Kashima:
Label Selection Approach to Learning from Crowds. ICONIP (8) 2023: 207-221 - [c146]Koh Takeuchi
, Ryo Nishida
, Hisashi Kashima
, Masaki Onishi
:
Causal Effect Estimation on Hierarchical Spatial Graph Data. KDD 2023: 2145-2154 - [c145]Ryu Shirakami
, Toshiya Kitahara
, Koh Takeuchi
, Hisashi Kashima
:
QTNet: Theory-based Queue Length Prediction for Urban Traffic. KDD 2023: 4832-4841 - [c144]Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima:
Regularizing Neural Networks with Meta-Learning Generative Models. NeurIPS 2023 - [c143]Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu
, Han Bao, Koh Takeuchi, Hisashi Kashima:
Estimating Treatment Effects Under Heterogeneous Interference. ECML/PKDD (1) 2023: 576-592 - [c142]Xiaotian Lu
, Jiyi Li
, Koh Takeuchi
, Hisashi Kashima
:
Multiview Representation Learning from Crowdsourced Triplet Comparisons. WWW 2023: 3827-3836 - 2022
- [c141]Sein Minn, Jill-Jênn Vie
, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. AAAI 2022: 12810-12818 - [c140]Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima:
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems. IEEE Big Data 2022: 5607-5614 - [c139]Ryoma Sato, Makoto Yamada
, Hisashi Kashima:
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CIKM 2022: 4444-4448 - [c138]Guoxi Zhang, Jiyi Li, Hisashi Kashima:
Improving Pairwise Rank Aggregation via Querying for Rank Difference. DSAA 2022: 1-9 - [c137]Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima:
Learning Evolvable Time-series Shapelets. ICDE 2022: 793-805 - [c136]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Re-evaluating Word Mover's Distance. ICML 2022: 19231-19249 - [c135]Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima:
Mitigating Observation Biases in Crowdsourced Label Aggregation. ICPR 2022: 1171-1177 - [c134]Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima:
Learning Optimal Priors for Task-Invariant Representations in Variational Autoencoders. KDD 2022: 1739-1748 - [c133]Guoxi Zhang
, Hisashi Kashima:
Batch Reinforcement Learning from Crowds. ECML/PKDD (4) 2022: 38-51 - [c132]Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima:
Learning Time-series Shapelets Enhancing Discriminability. SDM 2022: 190-198 - [c131]Yoichi Chikahara, Makoto Yamada, Hisashi Kashima:
Feature selection for discovering distributional treatment effect modifiers. UAI 2022: 400-410 - 2021
- [c130]Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima:
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. AISTATS 2021: 145-153 - [c129]Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima:
Regret Minimization for Causal Inference on Large Treatment Space. AISTATS 2021: 946-954 - [c128]Koh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi:
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference. AAMAS 2021: 1290-1298 - [c127]Toshihiro Kamishima
, Shotaro Akaho
, Yukino Baba, Hisashi Kashima:
Preliminary Experiments to Examine the Stability of Bias-Aware Techniques. BIAS 2021: 25-35 - [c126]Shonosuke Harada, Hisashi Kashima:
GraphITE: Estimating Individual Effects of Graph-structured Treatments. CIKM 2021: 659-668 - [c125]Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada:
Computationally Efficient Wasserstein Loss for Structured Labels. EACL (Student Research Workshop) 2021: 1-7 - [c124]Jiyi Li, Lucas Ryo Endo, Hisashi Kashima:
Label Aggregation for Crowdsourced Triplet Similarity Comparisons. ICONIP (6) 2021: 176-185 - [c123]Shu Nakamura, Koh Takeuchi, Hisashi Kashima, Takeshi Kishikawa, Takashi Ushio, Tomoyuki Haga, Takamitsu Sasaki:
In-Vehicle Network Attack Detection Across Vehicle Models: A Supervised-Unsupervised Hybrid Approach. ITSC 2021: 1286-1291 - [c122]Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima:
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. KDD 2021: 1276-1286 - [c121]Akira Tanimoto
, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima
:
Causal Combinatorial Factorization Machines for Set-Wise Recommendation. PAKDD (2) 2021: 498-509 - [c120]Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Inter-domain Multi-relational Link Prediction. ECML/PKDD (2) 2021: 285-301 - [c119]Xiaotian Lu
, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Crowdsourcing Evaluation of Saliency-Based XAI Methods. ECML/PKDD (5) 2021: 431-446 - [c118]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Random Features Strengthen Graph Neural Networks. SDM 2021: 333-341 - 2020
- [c117]Luu Huu Phuc, Koh Takeuchi, Makoto Yamada
, Hisashi Kashima:
Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport. DSAA 2020: 245-254 - [c116]Hitoshi Kusano, Yuji Horiguchi, Yukino Baba, Hisashi Kashima:
Stress Prediction from Head Motion. DSAA 2020: 488-495 - [c115]Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
:
Topological Bayesian Optimization with Persistence Diagrams. ECAI 2020: 1483-1490 - [c114]Yukino Baba, Jiyi Li, Hisashi Kashima:
CrowDEA: Multi-View Idea Prioritization with Crowds. HCOMP 2020: 23-32 - [c113]Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima:
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance. ICML 2020: 4594-4603 - [c112]Yan Gu, Jiuding Duan, Hisashi Kashima:
An Intransitivity Model for Matchup and Pairwise Comparison. ICPR 2020: 692-698 - [c111]Jiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima:
Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization. IJCAI 2020: 1534-1541 - [c110]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Fast Unbalanced Optimal Transport on a Tree. NeurIPS 2020 - [c109]Shonosuke Harada, Hisashi Kashima:
Counterfactual Propagation for Semi-supervised Individual Treatment Effect Estimation. ECML/PKDD (1) 2020: 542-558 - 2019
- [c108]Jill-Jênn Vie, Hisashi Kashima:
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. AAAI 2019: 750-757 - [c107]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Learning to Sample Hard Instances for Graph Algorithms. ACML 2019: 503-518 - [c106]Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima:
Active Change-Point Detection. ACML 2019: 1017-1032 - [c105]Takeru Sunahase, Yukino Baba, Hisashi Kashima:
Probabilistic Modeling of Peer Correction and Peer Assessment. EDM 2019 - [c104]Kosuke Yoshimura, Tomoaki Iwase, Yukino Baba, Hisashi Kashima:
Interdependence Model for Multi-label Classification. ICANN (4) 2019: 55-68 - [c103]Yusuke Sakata, Yukino Baba, Hisashi Kashima:
Crownn: Human-in-the-loop Network with Crowd-generated Inputs. ICASSP 2019: 7555-7559 - [c102]Shogo Hayashi, Akira Tanimoto, Hisashi Kashima:
Long-Term Prediction of Small Time-Series Data Using Generalized Distillation. IJCNN 2019: 1-8 - [c101]Daiki Tanaka, Makoto Yamada
, Hisashi Kashima, Takeshi Kishikawa, Tomoyuki Haga, Takamitsu Sasaki:
In-Vehicle Network Intrusion Detection and Explanation Using Density Ratio Estimation. ITSC 2019: 2238-2243 - [c100]Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima:
Fast Sparse Group Lasso. NeurIPS 2019: 1700-1708 - [c99]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. NeurIPS 2019: 4083-4092 - [c98]Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Theoretical evidence for adversarial robustness through randomization. NeurIPS 2019: 11838-11848 - [c97]Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima:
Context-Regularized Neural Collaborative Filtering for Game App Recommendation. RecSys (Late-Breaking Results) 2019: 16-20 - [c96]Daiki Tanaka, Yukino Baba, Hisashi Kashima, Yuta Okubo:
Large-scale Driver Identification Using Automobile Driving Data. SMC 2019: 3441-3446 - 2018
- [c95]Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima:
AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. AAAI 2018: 1619-1626 - [c94]Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima:
Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. AAAI 2018: 7887-7892 - [c93]Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo:
Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests. AAAI 2018: 7934-7940 - [c92]Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto:
Short-Term Precipitation Prediction with Skip-Connected PredNet. ICANN (3) 2018: 373-382 - [c91]Jiyi Li, Yukino Baba, Hisashi Kashima:
Incorporating Worker Similarity for Label Aggregation in Crowdsourcing. ICANN (2) 2018: 596-606 - [c90]Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima:
BayesGrad: Explaining Predictions of Graph Convolutional Networks. ICONIP (5) 2018: 81-92 - [c89]Jiyi Li, Yukino Baba, Hisashi Kashima:
Simultaneous Clustering and Ranking from Pairwise Comparisons. IJCAI 2018: 1554-1560 - [c88]Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima:
On Reducing Dimensionality of Labeled Data Efficiently. PAKDD (3) 2018: 77-88 - [c87]Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Jun'ichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima:
Payload-Based Statistical Intrusion Detection for In-Vehicle Networks. PAKDD (Workshops) 2018: 186-192 - 2017
- [c86]Takeru Sunahase, Yukino Baba, Hisashi Kashima:
Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. AAAI 2017: 977-984 - [c85]Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka:
Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU. AAAI 2017: 1481-1487 - [c84]Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno:
Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines. AAAI 2017: 4686-4693 - [c83]Jiyi Li, Yukino Baba, Hisashi Kashima:
Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing. CIKM 2017: 1069-1078 - [c82]Jill-Jênn Vie
, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima:
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. MANPU@ICDAR 2017: 21-26 - [c81]Koh Takeuchi, Hisashi Kashima, Naonori Ueda:
Autoregressive Tensor Factorization for Spatio-Temporal Predictions. ICDM 2017: 1105-1110 - [c80]Kosuke Yoshimura, Yukino Baba, Hisashi Kashima:
Quality Control for Crowdsourced Multi-label Classification Using RAkEL. ICONIP (1) 2017: 64-73 - [c79]Hirotaka Akita, Yukino Baba, Hisashi Kashima, Atsuto Seko
:
Atomic Distance Kernel for Material Property Prediction. ICONIP (1) 2017: 526-533 - [c78]Jiuding Duan, Jiyi Li, Yukino Baba, Hisashi Kashima:
A Generalized Model for Multidimensional Intransitivity. PAKDD (2) 2017: 840-852 - [c77]Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima:
Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies. ECML/PKDD (2) 2017: 238-250 - [c76]Jiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa:
Distributed Multi-task Learning for Sensor Network. ECML/PKDD (2) 2017: 657-672 - [c75]Jiyi Li, Hisashi Kashima:
Iterative Reduction Worker Filtering for Crowdsourced Label Aggregation. WISE (2) 2017: 46-54 - 2016
- [c74]Sho Yokoi, Hiroshi Kajino, Hisashi Kashima:
Link Prediction by Incidence Matrix Factorization. ECAI 2016: 1730-1731 - [c73]Patrick Jörger, Yukino Baba, Hisashi Kashima:
Learning to Enumerate. ICANN (1) 2016: 453-460 - [c72]Ryusuke Takahama, Toshihiro Kamishima, Hisashi Kashima:
Progressive Comparison for Ranking Estimation. IJCAI 2016: 3882-3888 - [c71]Kaito Fujii, Hisashi Kashima:
Budgeted stream-based active learning via adaptive submodular maximization. NIPS 2016: 514-522 - 2015
- [c70]Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa:
Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. COLT 2015: 1141-1154 - [c69]Satoshi Oyama, Yukino Baba, Ikki Ohmukai, Hiroaki Dokoshi, Hisashi Kashima:
From one star to three stars: Upgrading legacy open data using crowdsourcing. DSAA 2015: 1-9 - [c68]Naoki Otani
, Yukino Baba, Hisashi Kashima:
Quality Control for Crowdsourced Hierarchical Classification. ICDM 2015: 937-942 - [c67]Nozomi Nori, Hisashi Kashima, Kazuto Yamashita
, Hiroshi Ikai, Yuichi Imanaka
:
Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care. KDD 2015: 855-864 - [c66]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:
Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. KDD 2015: 1681-1690 - [c65]Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima:
Quality Control for Crowdsourced POI Collection. PAKDD (2) 2015: 255-267 - [c64]Jiuding Duan, Atsuto Seko
, Hisashi Kashima:
Quantum Energy Prediction Using Graph Kernel. SMC 2015: 1651-1656 - 2014
- [c63]Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima:
Crowdsourced data analytics: A case study of a predictive modeling competition. DSAA 2014: 284-289 - [c62]Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima:
Crowdsourced Data Analytics: A Case Study of a Predictive Modeling Competition. HCOMP 2014: 4-5 - [c61]Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima:
Quality Control for Crowdsourced Enumeration Tasks. HCOMP 2014: 28-29 - [c60]Hiroshi Kajino, Yukino Baba, Hisashi Kashima:
Instance-Privacy Preserving Crowdsourcing. HCOMP 2014: 96-103 - [c59]Ryoma Kawajiri, Masamichi Shimosaka, Hisashi Kashima:
Steered crowdsensing: incentive design towards quality-oriented place-centric crowdsensing. UbiComp 2014: 691-701 - [c58]Issei Sato, Hisashi Kashima, Hiroshi Nakagawa:
Latent Confusion Analysis by Normalized Gamma Construction. ICML 2014: 1116-1124 - [c57]Toshihiro Watanabe, Hisashi Kashima:
A Label Completion Approach to Crowd Approximation. ICONIP (2) 2014: 377-385 - [c56]Jingjing Wang, Satoshi Oyama, Masahito Kurihara, Hisashi Kashima:
Learning an accurate entity resolution model from crowdsourced labels. ICUIMC 2014: 103:1-103:8 - [c55]Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima:
Crowdordering. PAKDD (2) 2014: 336-347 - 2013
- [c54]Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima:
Clustering Crowds. AAAI 2013: 1120-1127 - [c53]Yukino Baba, Hisashi Kashima:
Statistical Quality Estimation for General Crowdsourcing Tasks. HCOMP (Works in Progress / Demos) 2013 - [c52]Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima:
Crowdsourcing Quality Control for Item Ordering Tasks. HCOMP (Works in Progress / Demos) 2013 - [c51]Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima:
EM-Based Inference of True Labels Using Confidence Judgments. HCOMP (Works in Progress / Demos) 2013 - [c50]Yukino Baba, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi, Yosuke Akiyoshi:
Leveraging Crowdsourcing to Detect Improper Tasks in Crowdsourcing Marketplaces. IAAI 2013: 1487-1492 - [c49]Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima:
Accurate Integration of Crowdsourced Labels Using Workers' Self-reported Confidence Scores. IJCAI 2013: 2554-2560 - [c48]Yukino Baba, Hisashi Kashima:
Statistical quality estimation for general crowdsourcing tasks. KDD 2013: 554-562 - [c47]Yoshifumi Aimoto, Hisashi Kashima:
Matrix Factorization With Aggregated Observations. PAKDD (2) 2013: 521-532 - 2012
- [c46]Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima:
A Convex Formulation for Learning from Crowds. AAAI 2012: 73-79 - [c45]Nozomi Nori, Danushka Bollegala
, Hisashi Kashima:
Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach. AAAI 2012: 115-121 - [c44]Hiroshi Kajino, Yuta Tsuboi, Issei Sato, Hisashi Kashima:
Learning from Crowds and Experts. HCOMP@AAAI 2012 - [c43]Michael E. Houle, Hisashi Kashima, Michael Nett:
Generalized Expansion Dimension. ICDM Workshops 2012: 587-594 - [c42]Daisuke Kimura, Hisashi Kashima:
Fast Computation of Subpath Kernel for Trees. ICML 2012 - [c41]Shohei Hido, Hisashi Kashima:
Hash-based structural similarity for semi-supervised Learning on attribute graphs. ICPR 2012: 3009-3012 - [c40]Michael E. Houle, Hisashi Kashima, Michael Nett:
Fast Similarity Computation in Factorized Tensors. SISAP 2012: 226-239 - [c39]Kohei Hayashi, Takashi Takenouchi, Ryota Tomioka, Hisashi Kashima:
Self-measuring Similarity for Multi-task Gaussian Process. ICML Unsupervised and Transfer Learning 2012: 145-154 - 2011
- [c38]Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki:
Fast Newton-CG Method for Batch Learning of Conditional Random Fields. AAAI 2011: 489-494 - [c37]Satoshi Oyama, Kohei Hayashi, Hisashi Kashima:
Cross-Temporal Link Prediction. ICDM 2011: 1188-1193 - [c36]Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li:
A New Multi-task Learning Method for Personalized Activity Recognition. ICDM 2011: 1218-1223 - [c35]Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima:
Statistical Performance of Convex Tensor Decomposition. NIPS 2011: 972-980 - [c34]Daisuke Kimura, Tetsuji Kuboyama, Tetsuo Shibuya, Hisashi Kashima:
A Subpath Kernel for Rooted Unordered Trees. PAKDD (1) 2011: 62-74 - [c33]Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda:
Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training. PAKDD (2) 2011: 222-233 - [c32]Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima:
Tensor Factorization Using Auxiliary Information. ECML/PKDD (2) 2011: 501-516 - 2010
- [c31]Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda:
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method. ICDM 2010: 1067-1072 - [c30]Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka:
Nonparametric Return Distribution Approximation for Reinforcement Learning. ICML 2010: 799-806 - [c29]Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima:
A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices. ICML 2010: 1087-1094 - [c28]Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese:
Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph. PAKDD (2) 2010: 147-159 - [c27]Rudy Raymond
, Hisashi Kashima:
Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs. ECML/PKDD (3) 2010: 131-147 - [c26]Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka:
Parametric Return Density Estimation for Reinforcement Learning. UAI 2010: 368-375 - 2009
- [c25]Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese:
Side Effect Prediction Using Cooperative Pathways. BIBM 2009: 142-147 - [c24]Shohei Hido, Hisashi Kashima:
A Linear-Time Graph Kernel. ICDM 2009: 179-188 - [c23]Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura:
Least absolute policy iteration for robust value function approximation. ICRA 2009: 2904-2909 - [c22]Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda:
On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. PAKDD 2009: 1030-1037 - [c21]Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda:
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. SDM 2009: 1100-1111 - 2008
- [c20]Yuta Tsuboi, Hisashi Kashima, Shinsuke Mori, Hiroki Oda, Yuji Matsumoto:
Training Conditional Random Fields Using Incomplete Annotations. COLING 2008: 897-904 - [c19]Shohei Hido, Yuta Tsuboi, Hisashi Kashima, Masashi Sugiyama, Takafumi Kanamori:
Inlier-Based Outlier Detection via Direct Density Ratio Estimation. ICDM 2008: 223-232 - [c18]Hisashi Kashima, Jianying Hu, Bonnie K. Ray, Moninder Singh:
K-means clustering of proportional data using L1 distance. ICPR 2008: 1-4 - [c17]Hisashi Kashima, Kazutaka Yamasaki, Akihiro Inokuchi, Hiroto Saigo:
Regression with interval output values. ICPR 2008: 1-4 - [c16]Yuta Tsuboi, Hisashi Kashima:
A new objective function for sequence labeling. ICPR 2008: 1-4 - [c15]Shohei Hido, Tsuyoshi Idé
, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa:
Unsupervised Change Analysis Using Supervised Learning. PAKDD 2008: 148-159 - [c14]Shohei Hido, Hisashi Kashima:
Roughly Balanced Bagging for Imbalanced Data. SDM 2008: 143-152 - [c13]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. SDM 2008: 443-454 - [c12]Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama:
Integration of Multiple Networks for Robust Label Propagation. SDM 2008: 716-726 - 2007
- [c11]Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai:
Multi-Task Learning via Conic Programming. NIPS 2007: 737-744 - [c10]Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von Bünau, Motoaki Kawanabe:
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. NIPS 2007: 1433-1440 - 2006
- [c9]Hisashi Kashima, Naoki Abe:
A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. ICDM 2006: 340-349 - [c8]Hisashi Kashima:
Risk-Sensitive Learning via Expected Shortfall Minimization. SDM 2006: 529-533 - 2005
- [c7]Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Idé
, Takahide Nogayama, Ryo Hirade, Hiroaki Etoh, Takeshi Fukuda:
Network-Based Problem Detection for Distributed Systems. ICDE 2005: 978-989 - 2004
- [c6]Hisashi Kashima, Yuta Tsuboi:
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs. ICML 2004 - [c5]Tsuyoshi Idé
, Hisashi Kashima:
Effective Dimension in Anomaly Detection: Its Application to Computer Systems. JSAI Workshops 2004: 189-204 - [c4]Tsuyoshi Idé
, Hisashi Kashima:
Eigenspace-based anomaly detection in computer systems. KDD 2004: 440-449 - 2003
- [c3]Akihiro Inokuchi, Hisashi Kashima:
Mining Significant Pairs of Patterns from Graph Structures with Class Labels. ICDM 2003: 83-90 - [c2]Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi:
Marginalized Kernels Between Labeled Graphs. ICML 2003: 321-328 - 2002
- [c1]Hisashi Kashima, Teruo Koyanagi:
Kernels for Semi-Structured Data. ICML 2002: 291-298
Editorship
- 2023
- [e7]Hisashi Kashima
, Tsuyoshi Idé
, Wen-Chih Peng
:
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13935, Springer 2023, ISBN 978-3-031-33373-6 [contents] - [e6]Hisashi Kashima
, Tsuyoshi Idé
, Wen-Chih Peng
:
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13936, Springer 2023, ISBN 978-3-031-33376-7 [contents] - [e5]Hisashi Kashima
, Tsuyoshi Idé
, Wen-Chih Peng
:
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III. Lecture Notes in Computer Science 13937, Springer 2023, ISBN 978-3-031-33379-8 [contents] - [e4]Hisashi Kashima
, Tsuyoshi Idé
, Wen-Chih Peng
:
Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 13938, Springer 2023, ISBN 978-3-031-33382-8 [contents] - 2022
- [e3]Yasufumi Takama, Naohiro Matsumura, Katsutoshi Yada, Mitsunori Matsushita, Daisuke Katagami, Akinori Abe, Hisashi Kashima, Toshihiro Hiraoka, Takahiro Uchiya, Rafal Rzepka
:
Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence, JSAI 2021, Virtual Event, Japan, 8-11 June 2021. Advances in Intelligent Systems and Computing 1423, Springer 2022, ISBN 978-3-030-96450-4 [contents] - 2021
- [e2]Katsutoshi Yada, Daisuke Katagami, Yasufumi Takama, Takayuki Ito, Akinori Abe, Eri Sato-Shimokawara, Junichiro Mori, Naohiro Matsumura, Hisashi Kashima:
Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence, JSAI 2020, Kumamoto-ken, Japan, 9-12 June 2020. Advances in Intelligent Systems and Computing 1357, Springer 2021, ISBN 978-3-030-73112-0 [contents] - 2012
- [e1]Tetsuo Shibuya, Hisashi Kashima, Jun Sese, Shandar Ahmad
:
Pattern Recognition in Bioinformatics - 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings. Lecture Notes in Computer Science 7632, Springer 2012, ISBN 978-3-642-34122-9 [contents]
Informal and Other Publications
- 2024
- [i45]Guoxi Zhang, Han Bao, Hisashi Kashima:
Online Policy Learning from Offline Preferences. CoRR abs/2403.10160 (2024) - [i44]Ryota Maruo, Hisashi Kashima:
Efficient Preference Elicitation in Iterative Combinatorial Auctions with Many Participants. CoRR abs/2403.19075 (2024) - [i43]Xiaotian Lu, Jiyi Li, Zhen Wan, Xiaofeng Lin, Koh Takeuchi, Hisashi Kashima:
Evaluating Saliency Explanations in NLP by Crowdsourcing. CoRR abs/2405.10767 (2024) - [i42]Shun Ito, Hisashi Kashima:
Mitigating Cognitive Biases in Multi-Criteria Crowd Assessment. CoRR abs/2407.18938 (2024) - 2023
- [i41]Xiaotian Lu
, Jiyi Li, Koh Takeuchi, Hisashi Kashima:
Multiview Representation Learning from Crowdsourced Triplet Comparisons. CoRR abs/2302.03987 (2023) - [i40]Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima:
Mitigating Observation Biases in Crowdsourced Label Aggregation. CoRR abs/2302.13100 (2023) - [i39]Ryosuke Ueda, Koh Takeuchi, Hisashi Kashima:
Mitigating Voter Attribute Bias for Fair Opinion Aggregation. CoRR abs/2307.10749 (2023) - [i38]Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima:
Regularizing Neural Networks with Meta-Learning Generative Models. CoRR abs/2307.13899 (2023) - [i37]Kosuke Yoshimura, Hisashi Kashima:
Label Selection Approach to Learning from Crowds. CoRR abs/2308.10396 (2023) - [i36]Jill-Jênn Vie, Hisashi Kashima:
Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model. CoRR abs/2309.12334 (2023) - [i35]Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu
, Han Bao, Koh Takeuchi, Hisashi Kashima:
Estimating Treatment Effects Under Heterogeneous Interference. CoRR abs/2309.13884 (2023) - 2022
- [i34]Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima:
Transfer Learning with Pre-trained Conditional Generative Models. CoRR abs/2204.12833 (2022) - [i33]Yoichi Chikahara, Makoto Yamada
, Hisashi Kashima:
Feature Selection for Discovering Distributional Treatment Effect Modifiers. CoRR abs/2206.00516 (2022) - [i32]Ryoma Sato, Makoto Yamada
, Hisashi Kashima:
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CoRR abs/2208.09862 (2022) - [i31]Hisashi Kashima, Satoshi Oyama, Hiromi Arai, Junichiro Mori:
Trustworthy Human Computation: A Survey. CoRR abs/2210.12324 (2022) - [i30]Guoxi Zhang, Hisashi Kashima:
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning. CoRR abs/2211.16078 (2022) - [i29]Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima:
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems. CoRR abs/2212.09920 (2022) - 2021
- [i28]Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada:
Computationally Efficient Wasserstein Loss for Structured Labels. CoRR abs/2103.00899 (2021) - [i27]Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima:
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes. CoRR abs/2105.11152 (2021) - [i26]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Re-evaluating Word Mover's Distance. CoRR abs/2105.14403 (2021) - [i25]Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Inter-domain Multi-relational Link Prediction. CoRR abs/2106.06171 (2021) - [i24]Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima:
Crowdsourcing Evaluation of Saliency-based XAI Methods. CoRR abs/2107.00456 (2021) - [i23]Guoxi Zhang, Hisashi Kashima:
Batch Reinforcement Learning from Crowds. CoRR abs/2111.04279 (2021) - [i22]Sein Minn, Jill-Jênn Vie
, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. CoRR abs/2112.11209 (2021) - 2020
- [i21]Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima:
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. CoRR abs/2002.01615 (2020) - [i20]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Random Features Strengthen Graph Neural Networks. CoRR abs/2002.03155 (2020) - [i19]Shonosuke Harada, Hisashi Kashima:
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation. CoRR abs/2005.05099 (2020) - [i18]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Fast Unbalanced Optimal Transport on Tree. CoRR abs/2006.02703 (2020) - [i17]Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima:
Regret Minimization for Causal Inference on Large Treatment Space. CoRR abs/2006.05616 (2020) - [i16]Yukino Baba, Jiyi Li, Hisashi Kashima:
CrowDEA: Multi-view Idea Prioritization with Crowds. CoRR abs/2008.02354 (2020) - [i15]Yang Liu, Hisashi Kashima:
Chemical Property Prediction Under Experimental Biases. CoRR abs/2009.08687 (2020) - [i14]Shonosuke Harada, Hisashi Kashima:
GraphITE: Estimating Individual Effects of Graph-structured Treatments. CoRR abs/2009.14061 (2020) - [i13]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Poincare: Recommending Publication Venues via Treatment Effect Estimation. CoRR abs/2010.09157 (2020) - 2019
- [i12]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Constant Time Graph Neural Networks. CoRR abs/1901.07868 (2019) - [i11]Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif:
Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. CoRR abs/1902.01148 (2019) - [i10]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Learning to Find Hard Instances of Graph Problems. CoRR abs/1902.09700 (2019) - [i9]Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada:
Topological Bayesian Optimization with Persistence Diagrams. CoRR abs/1902.09722 (2019) - [i8]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. CoRR abs/1905.10261 (2019) - 2018
- [i7]Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima:
BayesGrad: Explaining Predictions of Graph Convolutional Networks. CoRR abs/1807.01985 (2018) - [i6]Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki, Yukino Baba, Ichigaku Takigawa, Yoshihiro Yamanishi, Hisashi Kashima:
Dual Convolutional Neural Network for Graph of Graphs Link Prediction. CoRR abs/1810.02080 (2018) - [i5]Jill-Jênn Vie, Hisashi Kashima:
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing. CoRR abs/1811.03388 (2018) - 2017
- [i4]Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima:
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. CoRR abs/1709.01584 (2017) - 2015
- [i3]Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa:
Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. CoRR abs/1506.02550 (2015) - 2012
- [i2]Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka:
Parametric Return Density Estimation for Reinforcement Learning. CoRR abs/1203.3497 (2012) - [i1]Daisuke Kimura, Hisashi Kashima:
Fast Computation of Subpath Kernel for Trees. CoRR abs/1206.4642 (2012)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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