Ali Beikmohammadi

According to our database, Ali Beikmohammadi authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge.

Ali Beikmohammadi, Sindri Magnússon

Inf. Sci., 2024

Automatic Fused Multimodal Deep Learning for Plant Identification.

Alfreds Lapkovskis, Natalia Nefedova, Ali Beikmohammadi

CoRR, 2024

On the Convergence of Federated Learning Algorithms without Data Similarity.

Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon

CoRR, 2024

Distributed Momentum Methods Under Biased Gradient Estimations.

Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon

CoRR, 2024

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

Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha, Tony Lindgren, Olof Steinert, Sindri Magnússon

CoRR, 2024

Compressed Federated Reinforcement Learning with a Generative Model.

Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Human-Inspired Framework to Accelerate Reinforcement Learning.

Ali Beikmohammadi, Sindri Magnússon

CoRR, 2023

TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning.

Ali Beikmohammadi, Sindri Magnússon

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.

Ali Beikmohammadi, Sindri Magnússon

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.

Ali Beikmohammadi, Karim Faez, Ali Motallebi

Expert Syst. Appl., 2022

NARS vs. Reinforcement learning: ONA vs. Q-Learning.

Ali Beikmohammadi

CoRR, 2022

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

Ali Beikmohammadi

CoRR, 2022

2021

Semantic Segmentation of Autonomous Driving Images by the Combination of Deep Learning and Classical Segmentation.

Mohammad Hosein Hamian, Ali Beikmohammadi, Ali Ahmadi, Babak Nasersharif

Proceedings of the 26th International Computer Conference, Computer Society of Iran, 2021

A Hierarchical Method for Kannada-MNIST Classification Based on Convolutional Neural Networks.

Ali Beikmohammadi, Najmeh Zahabi

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.

Ali Beikmohammadi, Karim Faez, Ali Motallebi

CoRR, 2020