Dropout (neural networks)
Related papers: 20
Top Researchers
Top Cited Papers
Recycling waste classification using optimized convolutional neural network
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Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods
Massimiliano Patacchiola, Angelo Cangelosi
Citations: 209 • 2017
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Peter Ondrúška, Ingmar Posner
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On Designing Fuzzy Controllers for a Class of Nonlinear Networked Control Systems
Xiefu Jiang, Qing‐Long Han
Citations: 146 • 2008
Input—Output Approach to Control for Fuzzy Markov Jump Systems With Time-Varying Delays and Uncertain Packet Dropout Rate
Lixian Zhang, Zepeng Ning, Peng Shi
Citations: 144 • 2014
Fruit Image Classification Based on MobileNetV2 with Transfer Learning Technique
Qian Xiang, Xiaodan Wang, Rui Li, Guoling Zhang, Jie Lai, Qingshuang Hu
Citations: 132 • 2019
Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach
Vijay Bhaskar Semwal, Kaushik Mondal, G. C. Nandi
Citations: 132 • 2015
Network-based fuzzy control for nonlinear Markov jump systems subject to quantization and dropout compensation
Meng Zhang, Peng Shi, Longhua Ma, Jianping Cai, Hongye Su
Citations: 115 • 2018
Tactile object recognition using deep learning and dropout
Alexander Schmitz, Yusuke Bansho, Kuniaki Noda, Hiroyasu Iwata, Tetsuya Ogata, Shigeki Sugano
Citations: 111 • 2014
A survey on iterative learning control with randomly varying trial lengths: Model, synthesis, and convergence analysis
Dong Shen, Xuefang Li
Citations: 89 • 2019
Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization
Li Zhang, Chee Peng Lim, Yonghong Yu
Citations: 59 • 2021
Motivating programming students by problem based learning and LEGO robots
Marianne Lykke, Mayela Coto, Sonia Mora, Niels Vandel, Christian Jantzen
Citations: 46 • 2014
M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding
Yiyang Qin, Banghua Yang, Sixiong Ke, Peng Liu, Fenqi Rong, Xinxing Xia
Citations: 44 • 2024
A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations
Ricardo Buettner, Hermann Baumgartl
Citations: 37 • 2019
Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots
Sebastian Otte, Christian Weiß, Tobias Scherer, Andreas Zell
Citations: 36 • 2016
MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence
Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi
Citations: 32 • 2022
Uncertainty Estimation for Deep Learning-Based Segmentation of Roads in Synthetic Aperture Radar Imagery
Jarrod Haas, Bernhard Rabus
Citations: 31 • 2021
Image classification of root-trimmed garlic using multi-label and multi-class classification with deep convolutional neural network
Pham Thi Quynh Anh, Dang Quoc Thuyet, Yuichi Kobayashi
Citations: 30 • 2022
Imitation and mirror systems in robots through Deep Modality Blending Networks
M. Yunus Seker, Alper Ahmetoğlu, Yukie Nagai, Minoru Asada, Erhan Öztop, Emre Uğur
Citations: 28 • 2021
Lightweight Unsupervised Deep Loop Closure
Nate Merrill, Guoquan Huang
Citations: 27 • 2018