Ali Yousefi
Orcid: 0000-0001-6463-9231
According to our database1,
Ali Yousefi
authored at least 28 papers
between 2009 and 2024.
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Bibliography
2024
A Discriminative Bayesian Gaussian Process Latent Variable Model for High-Dimensional Data.
CoRR, 2024
2023
Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging.
Neuroinformatics, October, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity.
Proceedings of the Brain Informatics - 16th International Conference, 2023
2022
Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data.
Neural Comput., 2022
CoRR, 2022
Social Networks Marketing and Consumer Purchase Behavior: The Combination of SEM and Unsupervised Machine Learning Approaches.
Big Data Cogn. Comput., 2022
2021
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework.
Neural Comput., 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
NeuroImage, 2020
Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling.
Neural Comput., 2020
2019
Efficient Decoding of Multi-Dimensional Signals From Population Spiking Activity Using a Gaussian Mixture Particle Filter.
IEEE Trans. Biomed. Eng., 2019
Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach.
Neural Comput., 2019
State-Space Global Coherence to Estimate the Spatio-Temporal Dynamics of the Coordinated Brain Activity.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Continuous Prediction of Cognitive State Using A Marked-Point Process Modeling Framework.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
A Comparison Study of Point-Process Filter and Deep Learning Performance in Estimating Rat Position Using an Ensemble of Place Cells.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Parameter Estimation in Synaptic Coupling Model Using a Point Process Modeling Framework<sup>*</sup>.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Predicting learning dynamics in Multiple-Choice Decision-Making Tasks using a variational Bayes technique.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
A new DEA model for six sigma project selecting: Case study on Esfahan Province Electricity Distribution Co (EPEDC).
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014
2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
An integrated group decision making model and its evaluation by DEA for automobile industry.
Expert Syst. Appl., 2010
The Application of Non-Homogenous HMM on the Detection of Security Fence Breaches.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Transcranial Shear-Mode Ultrasound: Assessment of Imaging Performance and Excitation Techniques.
IEEE Trans. Medical Imaging, 2009
Group Management in Mobile Ad Hoc Networks.
Proceedings of the Selected Papers on Broadband Communication, 2009