Ali Beikmohammadi

Orcid: 0000-0003-4884-4600

According to our database1, Ali Beikmohammadi authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge.
Inf. Sci., 2024

On the Convergence of Federated Learning Algorithms without Data Similarity.
CoRR, 2024

Distributed Momentum Methods Under Biased Gradient Estimations.
CoRR, 2024

A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data.
CoRR, 2024

2023
Human-Inspired Framework to Accelerate Reinforcement Learning.
CoRR, 2023

TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms.
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

2022
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN.
Expert Syst. Appl., 2022

NARS vs. Reinforcement learning: ONA vs. Q-Learning.
CoRR, 2022

Using MM principles to deal with incomplete data in K-means clustering.
CoRR, 2022

2021
Semantic Segmentation of Autonomous Driving Images by the Combination of Deep Learning and Classical Segmentation.
Proceedings of the 26th International Computer Conference, Computer Society of Iran, 2021

A Hierarchical Method for Kannada-MNIST Classification Based on Convolutional Neural Networks.
Proceedings of the 26th International Computer Conference, Computer Society of Iran, 2021

2020
SWP-Leaf NET: a novel multistage approach for plant leaf identification based on deep learning.
CoRR, 2020


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