SWP-Leaf NET: a novel multistage approach for plant leaf identification based on deep learning. - Ali Beikmohammadi; Karim Faez; Ali Motallebi (CoRR, 2020)

A Hierarchical Method for Kannada-MNIST Classification Based on Convolutional Neural Networks. - Ali Beikmohammadi; Najmeh Zahabi (CSICC, 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 (CSICC, 2021)

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

NARS vs. Reinforcement learning: ONA vs. Q-Learning. - Ali Beikmohammadi (CoRR, 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)

Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. - Ali Beikmohammadi; Sindri Magnússon (AGI, 2023)

TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning. - Ali Beikmohammadi; Sindri Magnússon (AAMAS, 2023)

Compressed Federated Reinforcement Learning with a Generative Model. - Ali Beikmohammadi; Sarit Khirirat; Sindri Magnússon (ECML/PKDD (4), 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)

Distributed Momentum Methods Under Biased Gradient Estimations. - Ali Beikmohammadi; Sarit Khirirat; Sindri Magnússon (CoRR, 2024)

Automatic Fused Multimodal Deep Learning for Plant Identification. - Alfreds Lapkovskis; Natalia Nefedova; Ali Beikmohammadi (CoRR, 2024)

Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge. - Ali Beikmohammadi; Sindri Magnússon (Inf. Sci., 2024)

Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis. - Ali Beikmohammadi; Sarit Khirirat; Peter Richtárik; Sindri Magnússon (CoRR, 2025)

On the Convergence of Federated Learning Algorithms Without Data Similarity. - Ali Beikmohammadi; Sarit Khirirat; Sindri Magnússon (IEEE Trans. Big Data, 2025)

Parallel Momentum Methods Under Biased Gradient Estimations. - Ali Beikmohammadi; Sarit Khirirat; Sindri Magnússon (IEEE Trans. Control. Netw. Syst., 2025)

Human-inspired framework to accelerate reinforcement learning. - Ali Beikmohammadi; Sindri Magnússon (J. Supercomput., 2025)