Ali Beikmohammadi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Convolutional Neural Network

Reinforcement Learning

Top Venues

Publications

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 (2024)
Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
Distributed Momentum Methods Under Biased Gradient Estimations. CoRR (2024)
Alfreds Lapkovskis, Natalia Nefedova, Ali Beikmohammadi
Automatic Fused Multimodal Deep Learning for Plant Identification. CoRR (2024)
Ali Beikmohammadi, Sindri Magnússon
Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge. Inf. Sci. 661 (2024)
Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
On the Convergence of Federated Learning Algorithms without Data Similarity. CoRR (2024)
Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
Compressed Federated Reinforcement Learning with a Generative Model. CoRR (2024)
Ali Beikmohammadi, Sindri Magnússon
Human-Inspired Framework to Accelerate Reinforcement Learning. CoRR (2023)
Ali Beikmohammadi, Sindri Magnússon
TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning. AAMAS (2023)
Ali Beikmohammadi, Sindri Magnússon
Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. CoRR (2023)
Ali Beikmohammadi, Sindri Magnússon
Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. AGI (2023)
Ali Beikmohammadi, Karim Faez, Ali Motallebi
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN. Expert Syst. Appl. 202 (2022)
Ali Beikmohammadi
Using MM principles to deal with incomplete data in K-means clustering. CoRR (2022)
Ali Beikmohammadi
NARS vs. Reinforcement learning: ONA vs. Q-Learning. CoRR (2022)
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)
Ali Beikmohammadi, Najmeh Zahabi
A Hierarchical Method for Kannada-MNIST Classification Based on Convolutional Neural Networks. CSICC (2021)
Ali Beikmohammadi, Karim Faez, Ali Motallebi
SWP-Leaf NET: a novel multistage approach for plant leaf identification based on deep learning. CoRR (2020)