Hossein Haeri

According to our database, Hossein Haeri authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation.

Niket Kathiriya, Hossein Haeri, Cindy Chen, Kshitij Jerath

CoRR, 2024

2023

Granulation of Large Temporal Databases: An Allan Variance Approach.

Lorina Sinanaj, Hossein Haeri, Srivenkata Satya Prasad Maddipatla, Liming Gao, Rinith Pakala, Niket Kathiriya, Craig Earl Beal, Sean Brennan, Cindy Chen, Kshitij Jerath

SN Comput. Sci., 2023

Thermodynamics-inspired Macroscopic States of Bounded Swarms.

Hossein Haeri, Kshitij Jerath, Jacob Leachman

CoRR, 2023

Adaptive Granulation: Data Reduction at the Database Level.

Hossein Haeri, Niket Kathiriya, Cindy Chen, Kshitij Jerath

Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

Compiler Support for Parallel Evaluation of C++ Constant Expressions.

Andrew Gozillon, Hossein Haeri, James Riordan, Paul Keir

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Distributed Edge Computing System for Vehicle Communication.

Rinith Pakala, Niket Kathiriya, Hossein Haeri, Srivenkata Satya Prasad Maddipatla, Kshitij Jerath, Craig Earl Beal, Sean Brennan, Cindy Chen

Proceedings of the 12th International Conference on Data Science, 2023

2022

Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior.

Hossein Haeri, Reza Ahmadzadeh, Kshitij Jerath

CoRR, 2022

Optimal Moving Average Estimation of Noisy Random Walks using Allan Variance-informed Window Length.

Hossein Haeri, Behrad Soleimani, Kshitij Jerath

Proceedings of the American Control Conference, 2022

2021

Near-Optimal Moving Average Estimation at Characteristic Timescales: An Allan Variance Approach.

Hossein Haeri, Craig Earl Beal, Kshitij Jerath

IEEE Control. Syst. Lett., 2021

Allan Variance-based Granulation Technique for Large Temporal Databases.

Lorina Sinanaj, Hossein Haeri, Liming Gao, Srivenkata Satya Prasad Maddipatla, Cindy Chen, Kshitij Jerath, Craig Earl Beal, Sean Brennan

Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior.

Hossein Haeri

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

A Micro-simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database.

Liming Gao, Srivenkata Satya Prasad Maddipatla, Craig Earl Beal, Kshitij Jerath, Cindy Chen, Lorina Sinanaj, Hossein Haeri, Sean Brennan

Proceedings of the 2021 American Control Conference, 2021