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Ali Beikmohammadi
Ali Beikmohammadi
Phd Researcher, Department of Computer and Systems Sciences, Stockholm University, Sweden
Verified email at dsv.su.se - Homepage
Title
Cited by
Cited by
Year
Leaf classification for plant recognition with deep transfer learning
A Beikmohammadi, K Faez
2018 4th Iranian Conference on Signal Processing and Intelligent Systems …, 2018
552018
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN
A Beikmohammadi, K Faez, A Motallebi
Expert Systems with Applications 202, 117470, 2022
362022
Semantic segmentation of autonomous driving images by the combination of deep learning and classical segmentation
MH Hamian, A Beikmohammadi, A Ahmadi, B Nasersharif
2021 26th International Computer Conference, Computer Society of Iran (CSICC …, 2021
182021
A hierarchical method for Kannada-MNIST classification based on convolutional neural networks
A Beikmohammadi, N Zahabi
2021 26th International Computer Conference, Computer Society of Iran (CSICC …, 2021
82021
Mixture of deep-based representation and shallow classifiers to recognize human activities
A Beikmohammadi, K Faez, MH Mahmoodian, MH Hamian
2019 5th Iranian Conference on Signal Processing and Intelligent Systems …, 2019
62019
TA-Explore: Teacher-assisted exploration for facilitating fast reinforcement learning
A Beikmohammadi, S Magnússon
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
42023
Human-inspired framework to accelerate reinforcement learning
A Beikmohammadi, S Magnússon
arXiv preprint arXiv:2303.08115, 2023
42023
Compressed federated reinforcement learning with a generative model
A Beikmohammadi, S Khirirat, S Magnússon
arXiv preprint arXiv:2404.10635, 2024
22024
Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge
A Beikmohammadi, S Magnússon
Information Sciences 661, 120182, 2024
22024
On the Convergence of Federated Learning Algorithms without Data Similarity
A Beikmohammadi, S Khirirat, S Magnússon
arXiv preprint arXiv:2403.02347, 2024
12024
Distributed Momentum Methods Under Biased Gradient Estimations
A Beikmohammadi, S Khirirat, S Magnússon
arXiv preprint arXiv:2403.00853, 2024
12024
A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data
A Beikmohammadi, MH Hamian, N Khoeyniha, T Lindgren, O Steinert, ...
arXiv preprint arXiv:2402.08611, 2024
12024
Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms
A Beikmohammadi, S Magnússon
International Conference on Artificial General Intelligence, 21-31, 2023
12023
Automatic Fused Multimodal Deep Learning for Plant Identification
A Lapkovskis, N Nefedova, A Beikmohammadi
arXiv preprint arXiv:2406.01455, 2024
2024
The Impact of SMOTE and ADASYN on Random Forest and Advanced Gradient Boosting Techniques in Telecom Customer Churn Prediction
M Imani, Z Ghaderpour, M Joudaki, A Beikmohammadi
2024 10th International Conference on Web Research (ICWR), 202-209, 2024
2024
Learning to Communicate through Multi-Agent Reinforcement Learning (MARL): A Systematic Literature Review
A Beikmohammadi
Preprints, 2024
2024
Using MM principles to deal with incomplete data in K-means clustering
A Beikmohammadi
arXiv preprint arXiv:2212.12379, 2022
2022
NARS vs. Reinforcement learning: ONA vs. Q-Learning
A Beikmohammadi
arXiv preprint arXiv:2212.12517, 2022
2022
SWP-Leaf NET: a novel multistage approach for plant leaf identification based on deep learning
A Beikmohammadi, K Faez, A Motallebi
arXiv preprint arXiv:2009.05139, 2020
2020
a novel solution to reduce energy consumption and economic revenue and, increase quality of service and resource utilization in cloud data centers [in persian]
mohammad hosein mahmoodian, hassan taheri qazvini, ...
7th National Congress of New Findings of Iranian Electrical Engineering, 17, 2020
2020
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