Mohammad Sina Kiarostami
Mohammad Sina Kiarostami
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Multi-Agent non-Overlapping Pathfinding with Monte-Carlo Tree Search
MS Kiarostami, MR Daneshvaramoli, SK Monfared, D Rahmati, S Gorgin
2019 IEEE Conference on Games (CoG), 1-4, 2019
Investigating the impact of recommender systems on user-based and item-based popularity bias
M Elahi, DK Kholgh, MS Kiarostami, S Saghari, SP Rad, M Tkalčič
Information Processing & Management 58 (5), 102655, 2021
Decentralized Communication-less Multi-Agent Task Assignment with Cooperative Monte-Carlo Tree Search
M Daneshvaramoli, MS Kiarostami, SK Monfared, H Karisani, ...
2020 6th International Conference on Control, Automation and Robotics (ICCAR …, 2020
BSRNG: A High Throughput Parallel BitSliced Approach for Random Number Generators
SK Monfared, O Hajihassani, MS Kiarostami, SM Zanjani, D Rahmati, ...
49th International Conference on Parallel Processing-ICPP: Workshops, 1-10, 2020
On Using Monte-Carlo Tree Search to Solve Puzzles
MS Kiarostami, M Daneshvaramoli, S Khalaj Monfared, A Visuri, ...
2021 7th International Conference on Computer Technology Applications, 18-26, 2021
A TSX-Based KASLR Break: Bypassing UMIP and Descriptor-Table Exiting
MS Karvandi, S Khalaj Monfared, MS Kiarostami, D Rahmati, S Gorgin
International Conference on Risks and Security of Internet and Systems, 38-54, 2022
Unlucky Explorer: A Complete non-Overlapping Map Exploration
MS Kiarostami, S Khalaj Monfared, M Daneshvaramoli, N Yousefian, ...
2021 The 3rd World Symposium on Software Engineering, 150-154, 2021
We Are Oulu: Exploring Situated Empathy through a Communal Virtual Reality Experience
MS Kiarostami, A Visuri, S Hosio
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and …, 2022
A Study on Non-overlapping Multi-agent Pathfinding
M Daneshvaramoli, MS Kiarostami, SK Monfared, A Visuri, S Hosio, ...
Future of Information and Communication Conference, 1-18, 2022
From Digital Media to Empathic Reality: A Systematic Review of Empathy Research in Extended Reality Environments
V Paananen, MS Kiarostami, LH Lee, T Braud, S Hosio
arXiv preprint arXiv:2203.01375, 2022
Comparing Two Different Approaches in Big Data and Business Analysis for Churn Prediction with the Focus on How Apache Spark Employed
MS Kiarostami
arXiv preprint arXiv:2105.15147, 2021
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