Pedrycz, Witold
University of Alberta · Systems Research Institute · Polish Academy of Sciences
10 papers on CoChatORCID 0000-0002-9335-9930
Most cited papers
- Verified
A Survey on Machine Learning for Data Fusion
Meng, T., Jing, X., Yan, Z., & Pedrycz, W. (2020) · Information Fusion
Target Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation
Cited by 677
- Verified
Agile earth observation satellite scheduling over 20 years: Formulations, methods, and future directions
Wang, X., Wu, G., Xing, L., & Pedrycz, W. (2021) · IEEE Systems Journal
Satellite Communication SystemsSpacecraft Dynamics and Control
Cited by 260
- Verified
A survey on trust evaluation based on machine learning
Wang, J., Jing, X., Yan, Z., Fu, Y., Pedrycz, W., & Yang, L. T. (2021) · ACM Computing Surveys
Access Control and TrustUser Authentication and Security Systems
Cited by 136
- Verified
K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human–Robot Interaction
Chen, L., Wang, K., Li, M., Wu, M., Pedrycz, W., & Hirota, K. (2023) · IEEE Transactions on Industrial Electronics
Emotion and Mood RecognitionFace and Expression Recognition
Cited by 113
- Verified
Fuzzy equalization in the construction of fuzzy sets
Pedrycz, W. (2001) · Fuzzy Sets and Systems
Fuzzy Logic and Control SystemsRough Sets and Fuzzy Logic
Cited by 93
- Verified
Generalized model and deep reinforcement learning-based evolutionary method for multitype satellite observation scheduling
Song, Y., Ou, J., Pedrycz, W., Suganthan, P. N., Wang, X., Xing, L., & Zhang, Y. (2024) · IEEE Transactions on Systems, Man, and Cybernetics: Systems
Satellite Communication SystemsScheduling and Optimization Algorithms
Cited by 63
- Verified
Task Scheduling Under a Novel Framework for Data Relay Satellite Network via Deep Reinforcement Learning
Li, J., Wu, G., Liao, T., Fan, M., Mao, X., & Pedrycz, W. (2023) · IEEE Transactions on Vehicular Technology
Satellite Communication SystemsAdvanced Wireless Network Optimization
Cited by 61
- Verified
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks
Albahri, A. S., Hamid, R. A., Abdulnabi, A. R., Albahri, O. S., Alamoodi, A. H., Deveci, M., Pedrycz, W., Alzubaidi, L., Santamaría, J., & Gu, Y. (2024) · Information Fusion
Vehicular Ad Hoc Networks (VANETs)Adversarial Robustness in Machine Learning
Cited by 55
- Verified
Coupled Multimodal Emotional Feature Analysis Based on Broad-Deep Fusion Networks in Human–Robot Interaction
Chen, L., Li, M., Wu, M., Pedrycz, W., & Hirota, K. (2024) · IEEE Transactions on Neural Networks and Learning Systems
Emotion and Mood RecognitionSocial Robot Interaction and HRI
Cited by 53
- Verified
Variational inference based automatic relevance determination kernel for embedded feature selection of noisy industrial data
Zhao, J., Chen, L., Pedrycz, W., & Wang, W. (2018) · IEEE Transactions on Industrial Electronics
Gaussian Processes and Bayesian InferenceNeural Networks and Applications
Cited by 50
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free