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Amir Hosein Keyhanipour
Academic Rank : Assistant Professor
دانشکدگان فارابی / Faculty of Engineering / دانشکدگان فارابی
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128
Citations
6
h-Index
as of :
2025-05-01
257
Citations
8
h-Index
as of :
2025-03-16
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Scholarly Works
2007
2025
128
Citations
6
h-Index
13
Article
12
Conference
2
Book
Scholarly Work Per Year
1 - 25 from 27 Result
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2025
1. Uncertainty handling in learning to rank: a systematic review
Keyhanipour Amir Hosein
(2025)., International Journal of Data Science and Analytics, -(-).
2024
1. Advanced Interdisciplinary Applications of Deep Learning for Data Science
Rakhshani Hanieh, Abolqasemi Alireza,
Keyhanipour Amir Hosein
(2024).
2. Graph-based rank aggregation: a deep-learning approach
Keyhanipour Amir Hosein
(2024)., International Journal of Web Information Systems, 20(7), 1-23.
3. Graph-induced rank-aggregation using information fusion operators
Keyhanipour Amir Hosein
(2024)., JOURNAL OF SUPERCOMPUTING, 81(43), 1-26.
4. Learning to rank through graph-based feature fusion using fuzzy integral operators
Keyhanipour Amir Hosein
(2024)., APPLIED INTELLIGENCE, 54(-), 1-19.
2023
1. Graph-based analysis of Web spam detection benchmark datasets
رعیتی مهدیه,
Keyhanipour Amir Hosein
(2023)., The second conference on Cyberspace, 31 October-2 November, Qom, Iran.
2. Graph-based analysis of rank-aggregation benchmark datasets
پاک مهر فاطمه,
Keyhanipour Amir Hosein
(2023)., The second conference on Cyberspace, 31 October-2 November, Qom, Iran.
3. Detecting Persian spam websites using natural language processing techniques
[] [],
Keyhanipour Amir Hosein
(2023)., The second conference on Cyberspace, 31 October-2 November, Qom, Iran.
4. Survey on the Applications of the Graph Theory in the Information Retrieval
Pirozmand Maryam,
Keyhanipour Amir Hosein
,
Moeini Ali
(2023)., Iran Information and Communication Technology, 16(59 و60), 1-20.
5. Graph-based comparative analysis of learning to rank datasets
Keyhanipour Amir Hosein
(2023)., International Journal of Data Science and Analytics, -(-).
6. Investigating effects of different processor scheduling algorithms on real-time operating systems
واحدی امیر,
Keyhanipour Amir Hosein
(2023)., The 6th International Conference on Global Studies in Computer, Electrical, and Mechanical Engineering, 19 January, Tehran, Iran.
2022
1. SeaRank: relevance prediction based on click models in a reinforcement learning framework
Keyhanipour Amir Hosein
, Farhad Oroumchian (2022)., Data Technologies and Applications, 56(5), 1-24.
2021
1. Click models inspired learning to rank
Keyhanipour Amir Hosein
, Farhad Oroumchian (2021)., International Journal of Web Information Systems, 17(4), 261-286.
2. Improving The Performance of BlockchainBased Recommender Systems
Bahrampour lomer Sahar,
Movahedi Zahra
,
Keyhanipour Amir Hosein
(2021)., 7th International Conference on Web Research, 19-20 May, Tehran, Iran.
2020
1. An Entanglement-Inspired Action Selection and Knowledge Sharing Scheme for Cooperative Multi-agent Q-Learning Algorithm used in Robot Navigation
Karami Mohamad hasan,
Keyhanipour Amir Hosein
(2020)., 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE), 29-30 October.
2019
1. Effective Learning to Rank for the Persian Web Content
Keyhanipour Amir Hosein
(2019)., Journal of Information Technology Management, 4(11), 92-109.
2. Quantum concurrent actions selection
Kiani Ghazaleh,
Keyhanipour Amir Hosein
(2019)., International Workshop on Quantum Computing and Quantum Optics, 30-31 October, Tabriz, Iran.
3. Application of Learning to Rank on Persian Web Content
Keyhanipour Amir Hosein
(2019)., 5th International Conference on Web Research, 24-25 April, Tehran, Iran.
4. Using Tag Information with LSTM Model to Improve Performance of Movie Recommender Systems
Ghorbani Masoomeh,
Fouladighaleh Kazim
,
Keyhanipour Amir Hosein
(2019)., The 5th International Conference on Web Research, 24-25 April, Tehran, Iran.
2018
1. Learning to Rank for the Persian Web Using the Layered Genetic Programming
Keyhanipour Amir Hosein
(2018)., Iran Information and Communication Technology, 10(37 , 38), 45-70.
2016
1. Learning to rank with click-through features in a reinforcement learning framework
Keyhanipour Amir Hosein
,
Moshiri Behzad
, Piroozmand Maryam, Aromchiyan Farhad,
Moeini Ali
(2016)., International Journal of Web Information Systems, 12(4), 448-476.
2015
1. Integration of data fusion and reinforcement learning techniques for the rank-aggregation problem
Keyhanipour Amir Hosein
,
Moshiri Behzad
,
Rahgozar Maseud
, Aromchiyan Farhad, Ansari Ali Asghar (2015)., International Journal of Machine Learning and Cybernetics, 15(6), 1-15.
2009
1. A GP-adaptive web ranking discovery framework based on combinative content and context features
Keyhanipour Amir Hosein
, Piroozmand Maryam, Badee Kambiz (2009)., Journal of Informetrics, 3(1), 78-89.
2008
1. User-based meta-search with the co-citation graph
Keyhanipour Amir Hosein
, Piroozmand Maryam (2008)., IEEE International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2008), 4-6 August, Czech Republic.
2007
1. Meta-Search Utilizing Evolutionary Recommendation: A Web Search Architecture Proposal
Dusan Husek,
Keyhanipour Amir Hosein
(2007)., International Workshop on Intelligent Web Based Tools (IWBT-07), in conjunction with the 19th IEEE International conference on Tools with Artificial Intelligence (ICTAI-07), 29-31 October, Greece.
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