Author

Qianghfu Zhao

The University of Aizu - Cited by 2,392 - Awareness Computing

Biography

Qiangfu Zhao is a professor at the System Intelligence Laboratory, University of Aizu. He was an associate professor of this university from 1995 to 1999, associate professor of Tohoku University from 1993 to 1995, associate professor of Beijing Insitute of Technology( BIT) from 1991 to 1993, and post-doctoral fellow at BIT from 1988 to 1991. His research activities includes in machine learning, which is an important branch in artificial intelligence (AI). Currently, he is especially interested in applications of machine learning to face pattern recognition, document classification and analysis, development of user friendly systems, authentication of card holders.  
Title
Cited by
Year
Ensemble learning
Y Liu, Q ZhaoHANDBOOK ON COMPUTER LEARNING AND INTELLIGENCE: Volume 2: Deep Learning …, 222
20
2022
Applying a multistage of input feature combination to random forest for improving MRT passenger flow prediction
L Liu, RC Chen, Q Zhao, S ZhuJournal of Ambient Intelligence and Humanized Computing 10, 4515-4532, 2019201
16
2019
A new steganography method based on generative adversarial networks
H Naito, Q Zhao2019 IEEE 10th international conference on awareness science and technology …, 2019201
11
2019
Product surface defect detection based on deep learning
PC Lien, Q Zhao2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th …, 2018201
11
2018
An evolutionary computation based method for creative design inspiration generation
J Hao, Y Zhou, Q Zhao, Q XueJournal of intelligent manufacturing 30, 1673-1691, 2019201
11
2019
Impulse Noise Replacement With Adaptive Neighborhood Median Filtering
CH Hsieh, PC Huang, Q Zhao2018 International Conference on Machine Learning and Cybernetics (ICMLC) 2 …, 2018201
9
2018
A multiple deep learner approach for X-ray image-based pneumonia detection
ZY Yang, Q Zhao2020 international conference on machine learning and cybernetics (ICMLC), 70-75, 2020202
9
2020
Knowledge distillation for real-time on-road risk detection
K Su, CMD Intisar, Q Zhao, Y Tomioka2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2020202
8
2020
Depth image-based obstacle avoidance for an in-door patrol robot
Z Jiang, Q Zhao, Y Tomioka2019 International Conference on Machine Learning and Cybernetics (ICMLC), 1-6, 2019201
7
2019
MS-NET: modular selective network: Round robin based modular neural network architecture with limited redundancy
IM Chowdhury, K Su, Q ZhaoInternational Journal of Machine Learning and Cybernetics 12 (3), 63-81, 2021202
7
2021
A selective modular neural network framework
CM Intisar, Q Zhao2019 IEEE 10th International Conference on Awareness Science and Technology …, 2019201
7
2019
Combining smartwatch and environments data for predicting the heart rate
MC Chen, RC Chen, Q Zhao2018 IEEE International Conference on Applied System Invention (ICASI), 1-4, 2018201
6
2018
Single image haze removal using weak dark channel prior
CH Hsieh, Q Zhao, WC Cheng2018 9th International Conference on Awareness Science and Technology (iCAST …, 2018201
6
2018
An experimental study on the effectiveness of artificial neural network-based stock index prediction
Y Tsai, Q Zhao2019 International Conference on Machine Learning and Cybernetics (ICMLC), 1-, 2019201
6
2019
Route-based ship classification
S Ichimura, Q Zhao2019 IEEE 10th International Conference on Awareness Science and Technology …, 2019201
6
2019
Resident activity recognition based on binary infrared sensors and soft computing
Q Zhao, CM Tsai, RC Chen, CY HuangInternational Journal of Machine Learning and Cybernetics 10, 291-299, 2019201
5
2019
Estimation of arbitrary resident locations using data obtained from an infrared sensor array
Q Zhao, S Ichimura, R Ota2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018201
4
2018
Second level steganalysis-embeding location detection using machine learning
T Saito, Q Zhao, H Naito2019 IEEE 10th International Conference on Awareness Science and Technology …, 2019201
4
2019
Product Surface Defect Detection Based on CNN Ensemble with Rejection
K Su, Q Zhao, PC Lien2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2019201
4
2019
A Two-Stage Deep Learning-Based Approach for Automatic Reading of Analog Meters
S Ueda, K Suzuki, J Kanno, Q Zhao2020 Joint 11th International Conference on Soft Computing and Intelligent …, 2020202
4
2020

Referred From: https://scholar.google.com/citations?user=tqqvIIAAAAAJ&hl=en

Cited by
Citations 2392
h-index 21
i10-index 66
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