Hiroshi Kajino
Hiroshi Kajino
IBM Research - Tokyo
Verified email at jp.ibm.com - Homepage
Title
Cited by
Cited by
Year
A Convex Formulation for Learning from Crowds.
H Kajino, Y Tsuboi, H Kashima
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence …, 2012
952012
Preserving worker privacy in crowdsourcing
H Kajino, H Arai, H Kashima
Data Mining and Knowledge Discovery, 1-22, 2014
442014
Learning from crowds and experts
H Kajino, Y Tsuboi, I Sato, H Kashima
Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
402012
Clustering crowds
H Kajino, Y Tsuboi, H Kashima
Proceedings of the AAAI conference on Artificial Intelligence 27 (1), 2013
332013
Molecular hypergraph grammar with its application to molecular optimization
H Kajino
International Conference on Machine Learning, 3183-3191, 2019
322019
Instance-privacy preserving crowdsourcing
H Kajino, Y Baba, H Kashima
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 (1), 2014
172014
Bidirectional learning for time-series models with hidden units
T Osogami, H Kajino, T Sekiyama
International Conference on Machine Learning, 2711-2720, 2017
132017
クラウドソーシングと機械学習 (< 特集> 知識の転移)
鹿島久嗣, 梶野洸
人工知能 27 (4), 381-388, 2012
112012
Towards stable symbol grounding with zero-suppressed state autoencoder
M Asai, H Kajino
Proceedings of the International Conference on Automated Planning and …, 2019
82019
Privacy-preserving crowdsourcing
H Kajino
Ph. D. thesis, Univ. of Tokyo, 2015
82015
Quality control for crowdsourced POI collection
S Kajimura, Y Baba, H Kajino, H Kashima
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 255-267, 2015
72015
Active learning for multi-relational data construction
H Kajino, A Kishimoto, A Botea, E Daly, S Kotoulas
Proceedings of the 24th International Conference on World Wide Web, 560-569, 2015
52015
A Functional Dynamic Boltzmann Machine.
H Kajino
IJCAI, 1987-1993, 2017
42017
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting
K Miyaguchi, H Kajino
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4594-4601, 2019
32019
Link prediction in sparse networks by incidence matrix factorization
S Yokoi, H Kajino, H Kashima
Journal of Information Processing 25, 477-485, 2017
32017
Neuron as an Agent
S Ohsawa, K Akuzawa, T Matsushima, G Bezerra, Y Iwasawa, H Kajino, ...
22018
クラウドソーシングにおけるプライバシ保護タスク割り当て
梶野洸, 荒井ひろみ, 佐久間淳, 鹿島久嗣
人工知能学会全国大会論文集 第 29 回全国大会 (2015), 3K4OS20b4-3K4OS20b4, 2015
22015
コロナ禍での研究・教育活動の苦労話について
梶野洸
人工知能 36 (3), 325-325, 2021
2021
Implementing a computer system task involving nonstationary streaming time-series data by removing biased gradients from memory
H Kajino, K Miyaguchi
US Patent App. 16/268,040, 2020
2020
Implementing a computer system task involving nonstationary streaming time-series data based on a bias-variance-based adaptive learning rate
H Kajino, K Miyaguchi
US Patent App. 16/268,071, 2020
2020
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