keiichi ito
Title
Cited by
Cited by
Year
A cloud-based framework for machine learning workloads and applications
ÁL García, JM De Lucas, M Antonacci, W Zu Castell, M David, M Hardt, ...
IEEE access 8, 18681-18692, 2020
212020
Optimization of flapping wing motion
K Ito
UNIT 45002 APO AP 96337 5002, 165, 2001
102001
Longitudinal stability augmentation of seaplanes in planing
K Ito, T Dhaene, Y Hirakawa, T Hirayama, T Sakurai
Journal of Aircraft 53 (5), 1332-1342, 2016
72016
Adaptive initial step size selection for Simultaneous Perturbation Stochastic Approximation
K Ito, T Dhaene
SpringerPlus 5 (1), 1--18, 2016
72016
Design Space Exploration using Self-Organizing Map Based Adaptive Sampling
K Ito, I Couckuyt, R d’Ippolito, T Dhaene
Applied Soft Computing 43, 337 - 346, 2016
62016
Self-organizing map based adaptive sampling
K Ito, T Dhaene, N El Masri, R d'Ippolito, J Van de Peer
5th International Conference on Experiments/Process/System Modeling …, 2013
32013
Optimum Structural Design of Light Float for Small Seaplane
T Kagawa, K Hiraoka, R Orihara, K Ito, Y Aoki
48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2007
32007
Probabilistic optimization of the transmission loss of a composite ribbed panel
R D’Ippolito, K Ito, B van der Heggen, N Tzannetakis
25th international conference on noise and vibration engineering, ISMA2012 …, 2012
22012
Sensitivity analysis based on high fidelity simulation: application to hypersonic variable-cycle engine intake design
H Kato, K Ito, I Lepot
International Journal of Engineering Systems Modelling and Simulation 2 (1-2 …, 2010
22010
Variance-based interaction index measuring heteroscedasticity
K Ito, I Couckuyt, S Poles, T Dhaene
Computer Physics Communications 203, 152-161, 2016
12016
Dimensionality reduction of optimization problems using variance based sensitivity analysis
K Ito, T Dhaene
12013
Efficient Detection of Longitudinal Bacteria Fission Using Transfer Learning in Deep Neural Networks
C Garcia-Perez, K Ito, J Geijo, R Feldbauer, N Schreiber, W zu Castell
Frontiers in Microbiology 12 (June 2021), 1079, 2021
2021
DEEP framework for deep learning
AS Alic, M Antonacci, M Caballer, I Campos, A Costantini, M David, ...
ISC High Performance (2020), Online, 22.06. 2020–25.06. 2020, 2020
2020
Mitigating Porpoising in Planing Simulation of Seaplanes
K Ito
University of Tokyo, 2019
2019
DEEP: Hybrid Approach for Deep Learning
AS Alic, M Antonacci, M Caballer, I Campos, A Costantini, M David, ...
ISC High Performance (2019), Frankfurt am Main, Deutschland, 16.06. 2019–20 …, 2019
2019
Deep-HybridDataCloud: Deep learning for everybody
L Lloret Iglesias, K Ito, W Castell
2019
2E4 Optimization of Flapping Wing Motion
K Ito, S Suzuki
3SASS 14TH INTERNATIONAL SESSIONS IN 38TH AIRCRAFT SYMPOSIUM, 735, 2000
2000
Range and endurance optimization of a sailplane gliding through atmospheric turbulence
K Ito
1998
2D3 国産水上飛行機開発プロジェクト
K Ito, Y Senda, E Itoh, H Nakagawa, T Kodate, T Sakurai
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Articles 1–19