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ORCIDAli Beikmohammadi
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2020 – today
- 2024
[j2]Ali Beikmohammadi
, Sindri Magnússon:
Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge. Inf. Sci. 661: 120182 (2024)- [c5]Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon:
Compressed Federated Reinforcement Learning with a Generative Model. ECML/PKDD (4) 2024: 20-37 - [i10]Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha, Tony Lindgren, Olof Steinert, Sindri Magnússon:
A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data. CoRR abs/2402.08611 (2024) - [i9]Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon:
Distributed Momentum Methods Under Biased Gradient Estimations. CoRR abs/2403.00853 (2024) - [i8]Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon:
On the Convergence of Federated Learning Algorithms without Data Similarity. CoRR abs/2403.02347 (2024) - [i7]Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon:
Compressed Federated Reinforcement Learning with a Generative Model. CoRR abs/2404.10635 (2024) - [i6]Alfreds Lapkovskis, Natalia Nefedova, Ali Beikmohammadi:
Automatic Fused Multimodal Deep Learning for Plant Identification. CoRR abs/2406.01455 (2024) - 2023
- [c4]Ali Beikmohammadi, Sindri Magnússon:
Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. AGI 2023: 21-31 - [c3]Ali Beikmohammadi, Sindri Magnússon:
TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning. AAMAS 2023: 2412-2414 - [i5]Ali Beikmohammadi, Sindri Magnússon:
Human-Inspired Framework to Accelerate Reinforcement Learning. CoRR abs/2303.08115 (2023) - [i4]Ali Beikmohammadi, Sindri Magnússon:
Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. CoRR abs/2304.03291 (2023) - 2022
- [j1]Ali Beikmohammadi, Karim Faez, Ali Motallebi:
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN. Expert Syst. Appl. 202: 117470 (2022) - [i3]Ali Beikmohammadi:
Using MM principles to deal with incomplete data in K-means clustering. CoRR abs/2212.12379 (2022) - [i2]Ali Beikmohammadi:
NARS vs. Reinforcement learning: ONA vs. Q-Learning. CoRR abs/2212.12517 (2022) - 2021
- [c2]Ali Beikmohammadi, Najmeh Zahabi:
A Hierarchical Method for Kannada-MNIST Classification Based on Convolutional Neural Networks. CSICC 2021: 1-6 - [c1]Mohammad Hosein Hamian, Ali Beikmohammadi, Ali Ahmadi, Babak Nasersharif:
Semantic Segmentation of Autonomous Driving Images by the Combination of Deep Learning and Classical Segmentation. CSICC 2021: 1-6 - 2020
- [i1]Ali Beikmohammadi, Karim Faez, Ali Motallebi:
SWP-Leaf NET: a novel multistage approach for plant leaf identification based on deep learning. CoRR abs/2009.05139 (2020)
Coauthor Index
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