Ali Beikmohammadi

24 papers A 1Misc 2Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Socio-technical aspects of Agentic AI. CoRR Praveen Kumar Donta, Alaa Saleh, Ying Li, Shubham Vaishnav, Kai Fang, Hailin Feng, Yuchao Xia, Thippa Reddy Gadekallu, Qiyang Zhang, Xiaodan Shi, Ali Beikmohammadi, Sindri Magnússon, Ilir Murturi, Chinmaya Kumar Dehury, Marcin Paprzycki, Lauri Lovén, Sasu Tarkoma, Schahram Dustdar
2025	—	`conf`	Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis. ECML/PKDD (6) Ali Beikmohammadi, Sarit Khirirat, Peter Richtárik, Sindri Magnússon
2025	J	`jnl`	Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis. CoRR Ali Beikmohammadi, Sarit Khirirat, Peter Richtárik, Sindri Magnússon
2025	J	`jnl`	Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning. Mach. Learn. Knowl. Extr. Mehdi Imani, Majid Joudaki, Ali Beikmohammadi, Hamid R. Arabnia
2025	J	`jnl`	Human-inspired framework to accelerate reinforcement learning. J. Supercomput. Ali Beikmohammadi, Sindri Magnússon
2025	J	`jnl`	On the Convergence of Federated Learning Algorithms Without Data Similarity. IEEE Trans. Big Data Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2025	J	`jnl`	Parallel Momentum Methods Under Biased Gradient Estimations. IEEE Trans. Control. Netw. Syst. Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2024	J	`jnl`	A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data. CoRR Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha, Tony Lindgren, Olof Steinert, Sindri Magnússon
2024	J	`jnl`	Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge. Inf. Sci. Ali Beikmohammadi, Sindri Magnússon
2024	J	`jnl`	Automatic Fused Multimodal Deep Learning for Plant Identification. CoRR Alfreds Lapkovskis, Natalia Nefedova, Ali Beikmohammadi
2024	—	`conf`	Compressed Federated Reinforcement Learning with a Generative Model. ECML/PKDD (4) Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2024	J	`jnl`	Compressed Federated Reinforcement Learning with a Generative Model. CoRR Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2024	J	`jnl`	Distributed Momentum Methods Under Biased Gradient Estimations. CoRR Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2024	J	`jnl`	On the Convergence of Federated Learning Algorithms without Data Similarity. CoRR Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
2023	—	`conf`	Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. AGI Ali Beikmohammadi, Sindri Magnússon
2023	J	`jnl`	Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. CoRR Ali Beikmohammadi, Sindri Magnússon
2023	J	`jnl`	Human-Inspired Framework to Accelerate Reinforcement Learning. CoRR Ali Beikmohammadi, Sindri Magnússon
2023	A	`conf`	TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning. AAMAS Ali Beikmohammadi, Sindri Magnússon
2022	J	`jnl`	NARS vs. Reinforcement learning: ONA vs. Q-Learning. CoRR Ali Beikmohammadi
2022	J	`jnl`	SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN. Expert Syst. Appl. Ali Beikmohammadi, Karim Faez, Ali Motallebi
2022	J	`jnl`	Using MM principles to deal with incomplete data in K-means clustering. CoRR Ali Beikmohammadi
2021	Misc	`conf`	A Hierarchical Method for Kannada-MNIST Classification Based on Convolutional Neural Networks. CSICC Ali Beikmohammadi, Najmeh Zahabi
2021	Misc	`conf`	Semantic Segmentation of Autonomous Driving Images by the Combination of Deep Learning and Classical Segmentation. CSICC Mohammad Hosein Hamian, Ali Beikmohammadi, Ali Ahmadi, Babak Nasersharif
2020	J	`jnl`	SWP-Leaf NET: a novel multistage approach for plant leaf identification based on deep learning. CoRR Ali Beikmohammadi, Karim Faez, Ali Motallebi