| 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 | 92 | 2020 |
| 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 | 14 | 2016 |
| Adaptive initial step size selection for Simultaneous Perturbation Stochastic Approximation K Ito, T Dhaene SpringerPlus 5 (1), 1--18, 2016 | 12 | 2016 |
| 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 | 10 | 2021 |
| 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 | 9 | 2016 |
| Optimization of flapping wing motion K Ito UNIT 45002 APO AP 96337-5002, 165, 2001 | 9 | 2001 |
| 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 | 5 | 2010 |
| 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 | 4 | 2013 |
| 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 | 4 | 2007 |
| 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 | 2 | 2012 |
| Variance-based interaction index measuring heteroscedasticity K Ito, I Couckuyt, S Poles, T Dhaene Computer Physics Communications 203, 152-161, 2016 | 1 | 2016 |
| Dimensionality reduction of optimization problems using variance based sensitivity analysis K Ito, T Dhaene | 1 | 2013 |
| 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 | | |
Tom DhaeneGhent University - imecVerified email at ugent.be
