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2020 – today
- 2022
[j33]Akira Tanimoto
, So Yamada, Takashi Takenouchi, Masashi Sugiyama, Hisashi Kashima:
Improving imbalanced classification using near-miss instances. Expert Syst. Appl. 201: 117130 (2022)- [j32]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Poincare: Recommending Publication Venues via Treatment Effect Estimation. J. Informetrics 16(2): 101283 (2022) - [j31]Shogo Hayashi, Junya Honda, Hisashi Kashima:
Bayesian optimization with partially specified queries. Mach. Learn. 111(3): 1019-1048 (2022) - [j30]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) - [j29]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Constant Time Graph Neural Networks. ACM Trans. Knowl. Discov. Data 16(5): 92:1-92:31 (2022) - [c132]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 - [c131]Akihiro Yamaguchi, Ken Ueo, Hisashi Kashima:
Learning Evolvable Time-series Shapelets. ICDE 2022: 793-805 - [c130]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Re-evaluating Word Mover's Distance. ICML 2022: 19231-19249 - [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] - [i30]Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima:
Transfer Learning with Pre-trained Conditional Generative Models. CoRR abs/2204.12833 (2022) - [i29]Yoichi Chikahara, Makoto Yamada, Hisashi Kashima:
Feature Selection for Discovering Distributional Treatment Effect Modifiers. CoRR abs/2206.00516 (2022) - 2021
- [j28]Jiuding Duan, Hisashi Kashima:
Learning to Rank for Multi-Step Ahead Time-Series Forecasting. IEEE Access 9: 49372-49386 (2021) - [c129]Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima:
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint. AISTATS 2021: 145-153 - [c128]Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima:
Regret Minimization for Causal Inference on Large Treatment Space. AISTATS 2021: 946-954 - [c127]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 - [c126]Toshihiro Kamishima, Shotaro Akaho, Yukino Baba, Hisashi Kashima:
Preliminary Experiments to Examine the Stability of Bias-Aware Techniques. BIAS 2021: 25-35 - [c125]Shonosuke Harada, Hisashi Kashima:
GraphITE: Estimating Individual Effects of Graph-structured Treatments. CIKM 2021: 659-668 - [c124]Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada:
Computationally Efficient Wasserstein Loss for Structured Labels. EACL (Student Research Workshop) 2021: 1-7 - [c123]Jiyi Li, Lucas Ryo Endo, Hisashi Kashima:
Label Aggregation for Crowdsourced Triplet Similarity Comparisons. ICONIP (6) 2021: 176-185 - [c122]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 - [c121]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 - [c120]Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima:
Causal Combinatorial Factorization Machines for Set-Wise Recommendation. PAKDD (2) 2021: 498-509 - [c119]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 - [c118]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 - [c117]Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Random Features Strengthen Graph Neural Networks. SDM 2021: 333-341 - [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] - [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
- [j27]Shun Ito, Yukino Baba, Tetsu Isomura, Hisashi Kashima:
Synthetic accessibility assessment using auxiliary responses. Expert Syst. Appl. 145: 113106 (2020) - [c116]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 - [c115]Hitoshi Kusano, Yuji Horiguchi, Yukino Baba, Hisashi Kashima:
Stress Prediction from Head Motion. DSAA 2020: 488-495 - [c114]Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada:
Topological Bayesian Optimization with Persistence Diagrams. ECAI 2020: 1483-1490 - [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 - [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)
2010 – 2019
- 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 - [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
- [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. J. Inf. Process. 26: 306-313 (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 - [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. J. Inf. Process. 25: 477-485 (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 - [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. Int. J. Data Sci. Anal. 2(1-2): 45-60 (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 - [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) - [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 - [c61]Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima:
Quality Control for Crowdsourced Enumeration Tasks. HCOMP 2014 - [c60]Hiroshi Kajino, Yukino Baba, Hisashi Kashima:
Instance-Privacy Preserving Crowdsourcing. HCOMP 2014 - [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
- [j19]Hiroto Saigo, Hisashi Kashima, Koji Tsuda:
Fast Iterative Mining Using Sparsity-Inducing Loss Functions. IEICE Trans. Inf. Syst. 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]Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima:
Clustering Crowds. AAAI 2013 - [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]