Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic ScholarHisashi Kashima
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2010 – today
- 2019
[i11]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Constant Time Graph Neural Networks. CoRR abs/1901.07868 (2019)- [i10]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) - [i9]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Learning to Find Hard Instances of Graph Problems. CoRR abs/1902.09700 (2019) - [i8]Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada:
Topological Bayesian Optimization with Persistence Diagrams. CoRR abs/1902.09722 (2019) - 2018
- [j26]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. JIP 26: 306-313 (2018) - [c94]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 - [c93]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 - [c92]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 - [c91]Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto:
Short-Term Precipitation Prediction with Skip-Connected PredNet. ICANN (3) 2018: 373-382 - [c90]Jiyi Li, Yukino Baba, Hisashi Kashima:
Incorporating Worker Similarity for Label Aggregation in Crowdsourcing. ICANN (2) 2018: 596-606 - [c89]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 - [c88]Jiyi Li, Yukino Baba, Hisashi Kashima:
Simultaneous Clustering and Ranking from Pairwise Comparisons. IJCAI 2018: 1554-1560 - [c87]Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima:
On Reducing Dimensionality of Labeled Data Efficiently. PAKDD (3) 2018: 77-88 - [c86]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 - [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
- [j25]Sho Yokoi, Hiroshi Kajino, Hisashi Kashima:
Link Prediction in Sparse Networks by Incidence Matrix Factorization. JIP 25: 477-485 (2017) - [c85]Takeru Sunahase, Yukino Baba, Hisashi Kashima:
Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process. AAAI 2017: 977-984 - [c84]Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka:
Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU. AAAI 2017: 1481-1487 - [c83]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 - [c82]Jiyi Li, Yukino Baba, Hisashi Kashima:
Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing. CIKM 2017: 1069-1078 - [c81]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 - [c80]Koh Takeuchi, Hisashi Kashima, Naonori Ueda:
Autoregressive Tensor Factorization for Spatio-Temporal Predictions. ICDM 2017: 1105-1110 - [c79]Kosuke Yoshimura, Yukino Baba, Hisashi Kashima:
Quality Control for Crowdsourced Multi-label Classification Using RAkEL. ICONIP (1) 2017: 64-73 - [c78]Hirotaka Akita, Yukino Baba, Hisashi Kashima, Atsuto Seko:
Atomic Distance Kernel for Material Property Prediction. ICONIP (1) 2017: 526-533 - [c77]Jiuding Duan, Jiyi Li, Yukino Baba, Hisashi Kashima:
A Generalized Model for Multidimensional Intransitivity. PAKDD (2) 2017: 840-852 - [c76]Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima:
Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies. ECML/PKDD (2) 2017: 238-250 - [c75]Jiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa:
Distributed Multi-task Learning for Sensor Network. ECML/PKDD (2) 2017: 657-672 - [c74]Jiyi Li, Hisashi Kashima:
Iterative Reduction Worker Filtering for Crowdsourced Label Aggregation. WISE (2) 2017: 46-54 - [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) - 2016
- [j24]Naoki Otani, Yukino Baba, Hisashi Kashima:
Quality control of crowdsourced classification using hierarchical class structures. Expert Syst. Appl. 58: 155-163 (2016) - [j23]Yukino Baba, Kei Kinoshita, Hisashi Kashima:
Participation recommendation system for crowdsourcing contests. Expert Syst. Appl. 58: 174-183 (2016) - [j22]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. I. J. Data Science and Analytics 2(1-2): 45-60 (2016) - [c73]Sho Yokoi, Hiroshi Kajino, Hisashi Kashima:
Link Prediction by Incidence Matrix Factorization. ECAI 2016: 1730-1731 - [c72]
- [c71]Ryusuke Takahama, Toshihiro Kamishima, Hisashi Kashima:
Progressive Comparison for Ranking Estimation. IJCAI 2016: 3882-3888 - [c70]Kaito Fujii, Hisashi Kashima:
Budgeted stream-based active learning via adaptive submodular maximization. NIPS 2016: 514-522 - 2015
- [c69]Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa:
Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. COLT 2015: 1141-1154 - [c68]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 - [c67]Naoki Otani, Yukino Baba, Hisashi Kashima:
Quality Control for Crowdsourced Hierarchical Classification. ICDM 2015: 937-942 - [c66]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 - [c65]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 - [c64]Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima:
Quality Control for Crowdsourced POI Collection. PAKDD (2) 2015: 255-267 - [c63]Jiuding Duan, Atsuto Seko, Hisashi Kashima:
Quantum Energy Prediction Using Graph Kernel. SMC 2015: 1651-1656 - [i3]Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa:
Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem. CoRR abs/1506.02550 (2015) - 2014
- [j21]Hiroshi Kajino, Hiromi Arai, Hisashi Kashima:
Preserving worker privacy in crowdsourcing. Data Min. Knowl. Discov. 28(5-6): 1314-1335 (2014) - [j20]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) - [c62]Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima:
Crowdsourced data analytics: A case study of a predictive modeling competition. DSAA 2014: 284-289 - [c61]Yukino Baba, Nozomi Nori, Shigeru Saito, Hisashi Kashima:
Crowdsourced Data Analytics: A Case Study of a Predictive Modeling Competition. HCOMP 2014 - [c60]Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima:
Quality Control for Crowdsourced Enumeration Tasks. HCOMP 2014 - [c59]
- [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
- [j19]Hiroto Saigo, Hisashi Kashima, Koji Tsuda:
Fast Iterative Mining Using Sparsity-Inducing Loss Functions. IEICE Transactions 96-D(8): 1766-1773 (2013) - [j18]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) - [c54]
- [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 - [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
- [j17]Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima:
Tensor factorization using auxiliary information. Data Min. Knowl. Discov. 25(2): 298-324 (2012) - [j16]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) - [j15]Satoshi Oyama, Kohei Hayashi, Hisashi Kashima:
Link Prediction Across Time via Cross-Temporal Locality Preserving Projections. IEICE Transactions 95-D(11): 2664-2673 (2012) - [c46]Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima:
A Convex Formulation for Learning from Crowds. AAAI 2012 - [c45]Nozomi Nori, Danushka Bollegala, Hisashi Kashima:
Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach. AAAI 2012 - [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]
- [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 - [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] - [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) - 2011
- [j14]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) - [c38]Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki:
Fast Newton-CG Method for Batch Learning of Conditional Random Fields. AAAI 2011 - [c37]
- [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
- [j13]Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, Koji Tsuda:
Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism. BMC Bioinformatics 11(S-1): 31 (2010) - [j12]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 Bioinformatics 11: 350 (2010) - [j11]Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura:
Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation. IEICE Transactions 93-D(9): 2555-2565 (2010) - [j10]Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda:
Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel. IEICE Transactions 93-D(10): 2672-2679 (2010) - [j9]Tsuyoshi Kato, Kinya Okada, Hisashi Kashima, Masashi Sugiyama:
A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference. IJKDB 1(1): 66-80 (2010) - [j8]Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai:
Conic Programming for Multitask Learning. IEEE Trans. Knowl. Data Eng. 22(7): 957-968 (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
2000 – 2009
- 2009
- [j7]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. Bioinformatics 25(22): 2962-2968 (2009) - [j6]Hisashi Kashima, Tsuyoshi Idé, Tsuyoshi Kato, Masashi Sugiyama:
Recent Advances and Trends in Large-Scale Kernel Methods. IEICE Transactions 92-D(7): 1338-1353 (2009) - [j5]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. JIP 17: 138-155 (2009) - [j4]Shohei Hido, Hisashi Kashima, Yutaka Takahashi:
Roughly balanced bagging for imbalanced data. Statistical Analysis and Data Mining 2(5-6): 412-426 (2009) - [j3]Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama:
Robust Label Propagation on Multiple Networks. IEEE Trans. Neural Networks 20(1): 35-44 (2009) - [c25]Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese:
Side Effect Prediction Using Cooperative Pathways. BIBM 2009: 142-147 - [c24]
- [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]
- [c15]Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa:
Unsupervised Change Analysis Using Supervised Learning. PAKDD 2008: 148-159 - [c14]
- [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
- [j2]Hisashi Kashima:
Risk-Sensitive Learning via Minimization of Empirical Conditional Value-at-Risk. IEICE Transactions 90-D(12): 2043-2052 (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]
- [c8]
- 2005
- [c7]